264 KiB
264 KiB
Supported Operators and Data Types
This file is automatically generated from the registered kernels by this script. Do not modify directly.
Execution Providers
Operators implemented by CPUExecutionProvider
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx | |||
Abs | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[6, 12] | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Acos | in input:T out output:T |
7+ | T = tensor(float) |
Acosh | in input:T out output:T |
9+ | T = tensor(float) |
Add | in A:T in B:T out C:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Affine | in X:T out Y:T |
1+ | T = tensor(float) |
AffineGrid | in theta:T1 in size:T2 out grid:T1 |
20+ | T1 = tensor(double), tensor(float) T2 = tensor(int64) |
And | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
ArgMax | in data:T out reduced:tensor(int64) |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
ArgMin | in data:T out reduced:tensor(int64) |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
Asin | in input:T out output:T |
7+ | T = tensor(float) |
Asinh | in input:T out output:T |
9+ | T = tensor(float) |
Atan | in input:T out output:T |
7+ | T = tensor(float) |
Atanh | in input:T out output:T |
9+ | T = tensor(float) |
AveragePool | in X:T out Y:T |
19+ | T = tensor(float) |
[11, 18] | T = tensor(float) | ||
10 | T = tensor(float) | ||
[7, 9] | T = tensor(float) | ||
BatchNormalization | in X:T in scale:T in B:T in input_mean:U in input_var:U out Y:T out running_mean:U out running_var:U or in X:T in scale:T in B:T in mean:T in var:T out Y:T out mean:T out var:T out saved_mean:T out saved_var:T or in X:T in scale:T1 in B:T1 in input_mean:T2 in input_var:T2 out Y:T out running_mean:T2 out running_var:T2 |
15+ | T = tensor(double), tensor(float) T1 = tensor(double), tensor(float) T2 = tensor(double), tensor(float) |
14 | T = tensor(double), tensor(float) U = tensor(double), tensor(float) |
||
[9, 13] | T = tensor(double), tensor(float) | ||
[7, 8] | T = tensor(double), tensor(float) | ||
BitShift | in X:T in Y:T out Z:T |
11+ | T = tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseAnd | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseNot | in X:T out Y:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseOr | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseXor | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BlackmanWindow | in size:T1 out output:T2 |
17+ | T1 = tensor(int32), tensor(int64) T2 = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Cast | in input:T1 out output:T2 |
21+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[13, 18] | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[6, 12] | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Ceil | in X:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Celu | in X:T out Y:T |
12+ | T = tensor(float) |
Clip | in input:T in min:T in max:T out output:T or in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11 | T = tensor(float) | ||
[6, 10] | T = tensor(float) | ||
Col2Im | in input:T in image_shape:tensor(int64) in block_shape:tensor(int64) out output:T |
18+ | T = tensor(float) |
Compress | in input:T in condition:T1 out output:T |
11+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
Concat | in inputs:T out concat_result:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[4, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ConcatFromSequence | in input_sequence:S out concat_result:T |
11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
ConstantOfShape | in input:T1 out output:T2 |
21+ | T1 = tensor(int64) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
20 | T1 = tensor(int64) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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[9, 19] | T1 = tensor(int64) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
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Conv | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float) |
[1, 10] | T = tensor(float) | ||
ConvInteger | in x:T1 in w:T2 in x_zero_point:T1 in w_zero_point:T2 out y:T3 |
10+ | T1 = tensor(uint8) T2 = tensor(uint8) T3 = tensor(int32) |
ConvTranspose | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float) |
[1, 10] | T = tensor(float) | ||
Cos | in input:T out output:T |
7+ | T = tensor(float) |
Cosh | in input:T out output:T |
9+ | T = tensor(float) |
Crop | in input:T out output:T |
1+ | T = tensor(float) |
CumSum | in x:T in axis:T2 out y:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) |
[11, 13] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) |
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DFT | in input:T1 in dft_length:T2 in axis:tensor(int64) out output:T1 or in input:T1 in dft_length:T2 out output:T1 |
20+ | T1 = tensor(double), tensor(float) T2 = tensor(int32), tensor(int64) |
[17, 19] | T1 = tensor(double), tensor(float) T2 = tensor(int32), tensor(int64) |
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DepthToSpace | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[1, 10] | T = tensor(double), tensor(float) | ||
DequantizeLinear | in x:T in x_scale:tensor(float) in x_zero_point:T out y:tensor(float) or in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
21+ | T1 = tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int8), tensor(uint16), tensor(uint4), tensor(uint8) T2 = tensor(float), tensor(float16) |
[19, 20] | T1 = tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int32), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
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[13, 18] | T = tensor(int32), tensor(int8), tensor(uint8) | ||
[10, 12] | T = tensor(int32), tensor(int8), tensor(uint8) | ||
Det | in X:T out Y:T |
11+ | T = tensor(float) |
Div | in A:T in B:T out C:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Dropout | in data:T in ratio:T1 in training_mode:T2 out output:T out mask:T2 or in data:T out output:T out mask:T or in data:T out output:T out mask:T1 |
13+ | T = tensor(double), tensor(float) T1 = tensor(double), tensor(float) T2 = tensor(bool) |
12 | T = tensor(double), tensor(float) T1 = tensor(double), tensor(float) T2 = tensor(bool) |
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[10, 11] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(bool) |
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[7, 9] | T = tensor(double), tensor(float), tensor(float16) | ||
DynamicQuantizeLinear | in x:T1 out y:T2 out y_scale:tensor(float) out y_zero_point:T2 |
11+ | T2 = tensor(uint8) |
DynamicSlice | in data:T in starts:Tind in ends:Tind in axes:Tind out output:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Einsum | in Inputs:T out Output:T |
12+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Elu | in X:T out Y:T |
6+ | T = tensor(float) |
Equal | in A:T in B:T out C:T1 |
19+ | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string) T1 = tensor(bool) |
[13, 18] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[11, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[7, 10] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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Erf | in input:T out output:T |
13+ | T = tensor(float) |
[9, 12] | T = tensor(float) | ||
Exp | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Expand | in input:T in shape:tensor(int64) out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[8, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
EyeLike | in input:T1 out output:T2 |
9+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) T2 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) |
Flatten | in input:T out output:T |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 8] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Floor | in X:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
GRU | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
[7, 13] | T = tensor(double), tensor(float) T1 = tensor(int32) |
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Gather | in data:T in indices:Tind out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherElements | in data:T in indices:Tind out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
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GatherND | in data:T in indices:tensor(int64) out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) indices = tensor(int64) |
12 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) indices = tensor(int64) |
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11 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) indices = tensor(int64) |
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Gelu | in X:T out Y:T |
20+ | T = tensor(float) |
Gemm | in A:T in B:T in C:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[9, 10] | T = tensor(double), tensor(float) | ||
[7, 8] | T = tensor(double), tensor(float) | ||
GlobalAveragePool | in X:T out Y:T |
1+ | T = tensor(float) |
GlobalLpPool | in X:T out Y:T |
2+ | T = tensor(float) |
GlobalMaxPool | in X:T out Y:T |
1+ | T = tensor(float) |
Greater | in A:T in B:T out C:T1 |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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[7, 8] | T = tensor(double), tensor(float) T1 = tensor(bool) |
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GreaterOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[12, 15] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
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GridSample | in X:T1 in grid:T2 out Y:T1 |
20+ | T1 = tensor(double), tensor(float) T2 = tensor(double), tensor(float) |
[16, 19] | T1 = tensor(float) T2 = tensor(float) |
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HammingWindow | in size:T1 out output:T2 |
17+ | T1 = tensor(int32), tensor(int64) T2 = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
HannWindow | in size:T1 out output:T2 |
17+ | T1 = tensor(int32), tensor(int64) T2 = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
HardSigmoid | in X:T out Y:T |
6+ | T = tensor(float) |
Hardmax | in input:T out output:T |
13+ | T = tensor(float) |
[11, 12] | T = tensor(float) | ||
[1, 10] | T = tensor(float) | ||
Identity | in input:T out output:T or in input:V out output:V |
21+ | V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[16, 18] | V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[14, 15] | V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
If | in cond:B out outputs:V |
21+ | B = tensor(bool) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | B = tensor(bool) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[16, 18] | B = tensor(bool) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[13, 15] | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[11, 12] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[1, 10] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
ImageScaler | in input:T out output:T |
1+ | T = tensor(float) |
InstanceNormalization | in input:T in scale:T in B:T out output:T |
6+ | T = tensor(float) |
IsInf | in X:T1 out Y:T2 |
20+ | T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz) T2 = tensor(bool) |
[10, 19] | T1 = tensor(double), tensor(float) T2 = tensor(bool) |
||
IsNaN | in X:T1 out Y:T2 |
20+ | T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz) T2 = tensor(bool) |
[13, 19] | T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
[9, 12] | T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
LRN | in X:T out Y:T |
13+ | T = tensor(float) |
[1, 12] | T = tensor(float) | ||
LSTM | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T in initial_c:T in P:T out Y:T out Y_h:T out Y_c:T |
14+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
[7, 13] | T = tensor(double), tensor(float) T1 = tensor(int32) |
||
LayerNormalization | in X:T in Scale:T in B:T out Y:T out Mean:U out InvStdDev:U or in X:T in Scale:V in B:V out Y:V out Mean:U out InvStdDev:U |
17+ | T = tensor(double), tensor(float), tensor(float16) U = tensor(float) |
[1, 16] | T = tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float), tensor(float16) V = tensor(double), tensor(float), tensor(float16) |
||
LeakyRelu | in X:T out Y:T |
16+ | T = tensor(float) |
[6, 15] | T = tensor(float) | ||
Less | in A:T in B:T out C:T1 |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
||
[7, 8] | T = tensor(double), tensor(float) T1 = tensor(bool) |
||
LessOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
[12, 15] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(bool) |
||
Log | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
LogSoftmax | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[1, 10] | T = tensor(double), tensor(float) | ||
Loop | in M:I in cond:B in v_initial:V out v_final_and_scan_outputs:V |
21+ | B = tensor(bool) I = tensor(int64) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | B = tensor(bool) I = tensor(int64) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[16, 18] | B = tensor(bool) I = tensor(int64) V = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[13, 15] | B = tensor(bool) I = tensor(int64) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[11, 12] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[1, 10] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
LpNormalization | in input:T out output:T |
1+ | T = tensor(double), tensor(float) |
LpPool | in X:T out Y:T |
18+ | T = tensor(float) |
[11, 17] | T = tensor(float) | ||
[2, 10] | T = tensor(float) | ||
MatMul | in A:T in B:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[9, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[1, 8] | T = tensor(double), tensor(float) | ||
MatMulInteger | in A:T1 in B:T2 in a_zero_point:T1 in b_zero_point:T2 out Y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int32) |
Max | in data_0:T out max:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[8, 11] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(float) | ||
MaxPool | in X:T out Y:T or in X:T out Y:T out Indices:I |
12+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(int8), tensor(uint8) |
[8, 11] | I = tensor(int64) T = tensor(double), tensor(float) |
||
[1, 7] | T = tensor(float) | ||
MaxRoiPool | in X:T in rois:T out Y:T |
1+ | T = tensor(float) |
MaxUnpool | in X:T1 in I:T2 in output_shape:T2 out output:T1 |
11+ | T1 = tensor(float) T2 = tensor(int64) |
[9, 10] | T1 = tensor(float) T2 = tensor(int64) |
||
Mean | in data_0:T out mean:T |
13+ | T = tensor(float) |
[8, 12] | T = tensor(float) | ||
[6, 7] | T = tensor(float) | ||
MeanVarianceNormalization | in X:T out Y:T or in input:T out output:T |
13+ | T = tensor(float) |
[9, 12] | T = tensor(float) | ||
[1, 8] | T = tensor(float) | ||
MelWeightMatrix | in num_mel_bins:T1 in dft_length:T1 in sample_rate:T1 in lower_edge_hertz:T2 in upper_edge_hertz:T2 out output:T3 |
17+ | T1 = tensor(int32), tensor(int64) T2 = tensor(float) T3 = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Min | in data_0:T out min:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[8, 11] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(float) | ||
Mod | in A:T in B:T out C:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[10, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Mul | in A:T in B:T out C:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Multinomial | in input:T1 out output:T2 |
7+ | T1 = tensor(float) T2 = tensor(int32), tensor(int64) |
Neg | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8) |
[6, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8) | ||
NonZero | in X:T out Y:tensor(int64) |
13+ | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) |
[9, 12] | T = tensor(bool), tensor(float), tensor(int32), tensor(int64), tensor(uint8) | ||
Not | in X:T out Y:T |
1+ | T = tensor(bool) |
OneHot | in indices:T1 in depth:T2 in values:T3 out output:T3 |
11+ | T1 = tensor(float), tensor(int32), tensor(int64) T2 = tensor(float), tensor(int32), tensor(int64) T3 = tensor(float), tensor(int32), tensor(int64), tensor(string) |
[9, 10] | T1 = tensor(float), tensor(int32), tensor(int64) T2 = tensor(float), tensor(int32), tensor(int64) T3 = tensor(float), tensor(int32), tensor(int64), tensor(string) |
||
Optional | in input:V out output:O |
15+ | O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
OptionalGetElement | in input:O out output:V |
18+ | O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[15, 17] | O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
OptionalHasElement | in input:O out output:B |
18+ | B = tensor(bool) O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[15, 17] | B = tensor(bool) O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)) |
||
Or | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
PRelu | in X:T in slope:T out Y:T |
16+ | T = tensor(float) |
[9, 15] | T = tensor(float) | ||
[7, 8] | T = tensor(float) | ||
Pad | in data:T in pads:tensor(int64) in constant_value:T in axes:Tind out output:T or in data:T in pads:tensor(int64) in constant_value:T out output:T or in data:T out output:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
18 | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[13, 17] | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[2, 10] | T = tensor(double), tensor(float) | ||
ParametricSoftplus | in X:T out Y:T |
1+ | T = tensor(float) |
Pow | in X:T in Y:T out Z:T or in X:T in Y:T1 out Z:T |
15+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 14] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
||
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
||
[7, 11] | T = tensor(double), tensor(float) | ||
QLinearConv | in x:T1 in x_scale:tensor(float) in x_zero_point:T1 in w:T2 in w_scale:tensor(float) in w_zero_point:T2 in y_scale:tensor(float) in y_zero_point:T3 in B:T4 out y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) T4 = tensor(int32) |
QLinearMatMul | in a:T1 in a_scale:TS in a_zero_point:T1 in b:T2 in b_scale:TS in b_zero_point:T2 in y_scale:TS in y_zero_point:T3 out y:T3 or in a:T1 in a_scale:tensor(float) in a_zero_point:T1 in b:T2 in b_scale:tensor(float) in b_zero_point:T2 in y_scale:tensor(float) in y_zero_point:T3 out y:T3 |
21+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) TS = tensor(float) |
[10, 20] | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) |
||
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 or in x:T1 in y_scale:tensor(float) in y_zero_point:T2 out y:T2 |
21+ | T1 = tensor(float), tensor(float16) T2 = tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int4), tensor(int8), tensor(uint16), tensor(uint4), tensor(uint8) |
[19, 20] | T1 = tensor(float), tensor(float16) T2 = tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int8), tensor(uint8) |
||
[13, 18] | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
||
[10, 12] | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
||
RNN | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(float) T1 = tensor(int32) |
[7, 13] | T = tensor(float) T1 = tensor(int32) |
||
RandomNormal | out output:T | 1+ | T = tensor(double), tensor(float) |
RandomNormalLike | in input:T1 out output:T2 |
1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float) |
RandomUniform | out output:T | 1+ | T = tensor(double), tensor(float) |
RandomUniformLike | in input:T1 out output:T2 |
1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float) |
Range | in start:T in limit:T in delta:T out output:T |
11+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
Reciprocal | in X:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
ReduceL1 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceL2 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceLogSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceLogSumExp | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceMax | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
20+ | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
[18, 19] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceMean | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceMin | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
20+ | T = tensor(bool), tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
[18, 19] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
12 | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
11 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceProd | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
13+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
ReduceSumSquare | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
[13, 17] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
RegexFullMatch | in X:T1 out Y:T2 |
20+ | T1 = tensor(string) T2 = tensor(bool) |
Relu | in X:T out Y:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int8) |
13 | T = tensor(double), tensor(float) | ||
[6, 12] | T = tensor(double), tensor(float) | ||
Reshape | in data:T in shape:tensor(int64) out reshaped:T or in data:T out reshaped:T |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
[19, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[14, 18] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[5, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[1, 4] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Resize | in X:T in scales:tensor(float) out Y:T or in X:T1 in roi:T2 in scales:tensor(float) in sizes:tensor(int64) out Y:T1 |
19+ | T1 = tensor(float), tensor(int32), tensor(int8), tensor(uint8) |
18 | T1 = tensor(float), tensor(int32), tensor(int8), tensor(uint8) | ||
[13, 17] | T1 = tensor(float), tensor(int32), tensor(int8), tensor(uint8) | ||
[11, 12] | T1 = tensor(float), tensor(int32), tensor(int8), tensor(uint8) | ||
10 | T = tensor(float), tensor(int32), tensor(int8), tensor(uint8) | ||
ReverseSequence | in input:T in sequence_lens:tensor(int64) out Y:T |
10+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
RoiAlign | in X:T1 in rois:T1 in batch_indices:T2 out Y:T1 |
16+ | T1 = tensor(double), tensor(float) T2 = tensor(int64) |
[10, 15] | T1 = tensor(double), tensor(float) T2 = tensor(int64) |
||
Round | in X:T out Y:T |
11+ | T = tensor(double), tensor(float), tensor(float16) |
STFT | in signal:T1 in frame_step:T2 in window:T1 in frame_length:T2 out output:T1 |
17+ | T1 = tensor(double), tensor(float) T2 = tensor(int32), tensor(int64) |
Scale | in input:T out output:T |
1+ | T = tensor(float) |
ScaledTanh | in input:T out output:T |
1+ | T = tensor(float) |
Scan | in initial_state_and_scan_inputs:V out final_state_and_scan_outputs:V or in sequence_lens:I in initial_state_and_scan_inputs:V out final_state_and_scan_outputs:V |
21+ | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[19, 20] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[16, 18] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 15] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
8 | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Scatter | in data:T in indices:Tind in updates:T out output:T |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
ScatterElements | in data:T in indices:Tind in updates:T out output:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[16, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[13, 15] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
ScatterND | in data:T in indices:tensor(int64) in updates:T out output:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[16, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[13, 15] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Selu | in X:T out Y:T |
6+ | T = tensor(float) |
SequenceAt | in input_sequence:S in position:I out tensor:T |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceConstruct | in inputs:T out output_sequence:S |
11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceEmpty | out output:S | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceErase | in input_sequence:S in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceInsert | in input_sequence:S in tensor:T in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceLength | in input_sequence:S out length:I |
11+ | I = tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
Shape | in data:T out shape:T1 |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[19, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[15, 18] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[13, 14] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Shrink | in input:T out output:T |
9+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Sigmoid | in X:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Sign | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[9, 12] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
SimplifiedLayerNormalization | in X:T in scale:V out Y:V out inv_std_var:U |
1+ | T = tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float), tensor(float16) V = tensor(double), tensor(float), tensor(float16) |
Sin | in input:T out output:T |
7+ | T = tensor(double), tensor(float) |
Sinh | in input:T out output:T |
9+ | T = tensor(float) |
Size | in data:T out size:T1 |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[19, 20] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[13, 18] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[1, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Slice | in data:T in starts:Tind in ends:Tind in axes:Tind in steps:Tind out output:T or in data:T out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
10 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[1, 9] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Softmax | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[11, 12] | T = tensor(double), tensor(float) | ||
[1, 10] | T = tensor(double), tensor(float) | ||
Softplus | in X:T out Y:T |
1+ | T = tensor(float) |
Softsign | in input:T out output:T |
1+ | T = tensor(float) |
SpaceToDepth | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[1, 12] | T = tensor(double), tensor(float) | ||
Split | in input:T in split:T out outputs...:T or in input:T in split:tensor(int64) out outputs:T or in input:T out outputs:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[2, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
SplitToSequence | in input:T in split:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(string) |
Sqrt | in X:T out Y:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
Squeeze | in data:T in axes:tensor(int64) out squeezed:T or in data:T out squeezed:T |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
StringConcat | in X:T in Y:T out Z:T |
20+ | T = tensor(string) |
StringNormalizer | in X:tensor(string) out Y:tensor(string) |
10+ | X = tensor(string) |
StringSplit | in X:T1 out Y:T2 out Z:T3 |
20+ | T1 = tensor(string) T2 = tensor(string) T3 = tensor(int64) |
Sub | in A:T in B:T out C:T |
14+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
13 | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(int32), tensor(int64) | ||
Sum | in data_0:T out sum:T |
13+ | T = tensor(double), tensor(float) |
[8, 12] | T = tensor(double), tensor(float) | ||
[6, 7] | T = tensor(double), tensor(float) | ||
Tan | in input:T out output:T |
7+ | T = tensor(float) |
Tanh | in input:T out output:T |
13+ | T = tensor(double), tensor(float) |
[6, 12] | T = tensor(double), tensor(float) | ||
TfIdfVectorizer | in X:T out Y:T1 |
9+ | T = tensor(int32), tensor(int64), tensor(string) T1 = tensor(float) |
ThresholdedRelu | in X:T out Y:T |
10+ | T = tensor(float) |
[1, 9] | T = tensor(float) | ||
Tile | in input:T in repeats:T1 out output:T or in input:T in tiles:T in axis:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[6, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
TopK | in X:T in K:tensor(int64) out Values:T out Indices:I or in X:T out Values:T out Indices:I |
11+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
10 | I = tensor(int64) T = tensor(double), tensor(float) |
||
[1, 9] | I = tensor(int64) T = tensor(double), tensor(float) |
||
Transpose | in data:T out transposed:T |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) |
[13, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Trilu | in input:T in k:tensor(int64) out output:T |
14+ | T = tensor(bool), tensor(double), tensor(float), tensor(int64) |
Unique | in X:T out Y:T out indices:tensor(int64) out inverse_indices:tensor(int64) out counts:tensor(int64) |
11+ | T = tensor(double), tensor(float), tensor(int64), tensor(int8), tensor(string) |
Unsqueeze | in data:T in axes:tensor(int64) out expanded:T or in data:T out expanded:T |
21+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 20] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Upsample | in X:T in scales:tensor(float) out Y:T or in X:T out Y:T |
9 | T = tensor(float), tensor(int32), tensor(int8), tensor(uint8) |
[7, 8] | T = tensor(float), tensor(int32), tensor(int8), tensor(uint8) | ||
Where | in condition:B in X:T in Y:T out output:T |
16+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) |
[9, 15] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint8) | ||
Xor | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
Operator Domain: ai.onnx.ml | |||
ArrayFeatureExtractor | in X:T in Y:tensor(int64) out Z:T |
1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string) |
Binarizer | in X:T out Y:T |
1+ | T = tensor(float) |
CastMap | in X:T1 out Y:T2 |
1+ | T1 = map(int64,tensor(float)), map(int64,tensor(string)) T2 = tensor(float), tensor(int64), tensor(string) |
CategoryMapper | in X:T1 out Y:T2 |
1+ | T1 = tensor(int64), tensor(string) T2 = tensor(int64), tensor(string) |
DictVectorizer | in X:T1 out Y:T2 |
1+ | T1 = map(int64,tensor(double)), map(int64,tensor(float)), map(int64,tensor(string)), map(string,tensor(double)), map(string,tensor(float)), map(string,tensor(int64)) T2 = tensor(double), tensor(float), tensor(int64), tensor(string) |
FeatureVectorizer | in X:T1 out Y:tensor(float) |
1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) |
Imputer | in X:T out Y:T |
1+ | T = tensor(float), tensor(int64) |
LabelEncoder | in X:T1 out Y:T2 |
4+ | T1 = tensor(double), tensor(float), tensor(int64), tensor(string) T2 = tensor(double), tensor(float), tensor(int16), tensor(int64), tensor(string) |
[2, 3] | T1 = tensor(float), tensor(int64), tensor(string) T2 = tensor(float), tensor(int64), tensor(string) |
||
1 | T1 = tensor(int64), tensor(string) T2 = tensor(int64), tensor(string) |
||
LinearClassifier | in X:T1 out Y:T2 out Z:tensor(float) |
1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
LinearRegressor | in X:T out Y:tensor(float) |
1+ | T = tensor(float) |
Normalizer | in X:T out Y:tensor(float) |
1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
OneHotEncoder | in X:T out Y:tensor(float) |
1+ | T = tensor(double), tensor(float), tensor(int64), tensor(string) |
SVMClassifier | in X:T1 out Y:T2 out Z:tensor(float) |
1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
SVMRegressor | in X:T out Y:tensor(float) |
1+ | T = tensor(float) |
Scaler | in X:T out Y:tensor(float) |
1+ | T = tensor(double), tensor(float), tensor(int32), tensor(int64) |
TreeEnsembleClassifier | in X:T1 out Y:T2 out Z:tensor(float) |
3+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
[1, 2] | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64) T2 = tensor(int64), tensor(string) |
||
TreeEnsembleRegressor | in X:T out Y:tensor(float) |
3+ | T = tensor(double), tensor(float) |
[1, 2] | T = tensor(double), tensor(float) | ||
ZipMap | in X:tensor(float) out Z:T |
1+ | T = seq(map(int64,tensor(float))), seq(map(string,tensor(float))) |
Operator Domain: com.microsoft | |||
Attention | in input:T in weights:T in bias:T in mask_index:M in past:T in attention_bias:T in past_sequence_length:M out output:T out present:T |
1+ | T = tensor(float) |
AttnLSTM | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T in initial_c:T in P:T in QW:T in MW:T in V:T in M:T in memory_seq_lens:T1 in AW:T out Y:T out Y_h:T out Y_c:T |
1+ | T = tensor(double), tensor(float) T1 = tensor(int32) |
BeamSearch | in input_ids:F in max_length:I in min_length:I in num_beams:I in num_return_sequences:I in length_penalty:T in repetition_penalty:T in vocab_mask:M in prefix_vocab_mask:M in attention_mask:I in decoder_input_ids:I in logits_processor:I out sequences:I out sequences_scores:T out scores:T |
1+ | T = tensor(float) |
BiasGelu | in A:T in B:T out C:T |
1+ | T = tensor(float) |
BifurcationDetector | in src_tokens:T in cur_tokens:T in prev_suffix_match_idx:T in pred_tokens:T out tokens:T out suffix_match_idx:T |
1+ | T = tensor(int64) |
CDist | in A:T in B:T out C:T |
1+ | T = tensor(double), tensor(float) |
ConvTransposeWithDynamicPads | in X:T in W:T in Pads:tensor(int64) in B:T out Y:T |
1+ | T = tensor(float) |
CropAndResize | in X:T1 in rois:T1 in batch_indices:T2 in crop_size:T2 out Y:T1 |
1+ | T1 = tensor(float) T2 = tensor(int32) |
DecoderMaskedMultiHeadAttention | in query:T in key:T in value:T in mask_index:M in attention_bias:T in past_key:T in past_value:T in past_sequence_length:M in beam_width:M in cache_indirection:M in bias:T out output:T out present_key:T out present_value:T out qk:V |
1+ | T = tensor(float) |
DequantizeLinear | in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
1+ | T1 = tensor(int16), tensor(int32), tensor(int4), tensor(int8), tensor(uint16), tensor(uint4), tensor(uint8) T2 = tensor(float) |
DynamicQuantizeLSTM | in X:T in W:T2 in R:T2 in B:T in sequence_lens:T1 in initial_h:T in initial_c:T in P:T in W_scale:T in W_zero_point:T2 in R_scale:T in R_zero_point:T2 out Y:T out Y_h:T out Y_c:T |
1+ | T = tensor(float) T1 = tensor(int32) T2 = tensor(int8), tensor(uint8) |
DynamicQuantizeMatMul | in A:T1 in B:T2 in b_scale:T1 in b_zero_point:T2 in bias:T1 out Y:T1 |
1+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
DynamicTimeWarping | in input:F out output:I |
1+ | F = tensor(float) I = tensor(int32) |
EmbedLayerNormalization | in input_ids:T1 in segment_ids:T1 in word_embedding:T in position_embedding:T in segment_embedding:T in gamma:T in beta:T in mask:T1 in position_ids:T1 out output:T out mask_index:T1 out embedding_sum:T |
1+ | T = tensor(float) |
ExpandDims | in X:T in axis:tensor(int32) out Y:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) axis = tensor(int32) |
FastGelu | in X:T in bias:T out Y:T |
1+ | T = tensor(float) |
FusedConv | in X:T in W:T in B:T in Z:T out Y:T |
1+ | T = tensor(float) |
FusedGemm | in A:T in B:T in C:T out Y:T |
1+ | T = tensor(float) |
FusedMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(float) |
GatherBlockQuantized | in data:T1 in indices:Tind in scales:T2 in zero_points:T1 out output:T2 |
1+ | T1 = tensor(int4), tensor(uint4) T2 = tensor(float), tensor(float16) Tind = tensor(int32), tensor(int64) |
GatherND | in data:T in indices:Tind out output:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Gelu | in X:T out Y:T |
1+ | T = tensor(float) |
GreedySearch | in input_ids:I in max_length:I in min_length:I in repetition_penalty:T in vocab_mask:I in prefix_vocab_mask:I in attention_mask:I out sequences:I |
1+ | T = tensor(float) |
GridSample | in X:T1 in Grid:T1 out Y:T2 |
1+ | T1 = tensor(float) T2 = tensor(float) |
GroupQueryAttention | in query:T in key:T in value:T in past_key:T in past_value:T in seqlens_k:M in total_sequence_length:M in cos_cache:T in sin_cache:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(float), tensor(float16) |
Inverse | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
MatMulBnb4 | in A:T1 in B:T2 in absmax:T1 out Y:T1 |
1+ | T1 = tensor(float) T2 = tensor(uint8) |
MatMulFpQ4 | in A:T1 in B:T2 in B_shape:T3 out Y:T1 |
1+ | T1 = tensor(float) T2 = tensor(uint8) T3 = tensor(int64) |
MatMulInteger16 | in A:T1 in B:T2 out Y:T3 |
1+ | T1 = tensor(int16) T2 = tensor(int16) T3 = tensor(int32) |
MatMulIntegerToFloat | in A:T1 in B:T2 in a_scale:T3 in b_scale:T3 in a_zero_point:T1 in b_zero_point:T2 in bias:T3 out Y:T3 |
1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float) |
MatMulNBits | in A:T1 in B:T2 in scales:T1 in zero_points:T3 in g_idx:T4 in bias:T1 out Y:T1 |
1+ | T1 = tensor(float), tensor(float16) T2 = tensor(uint8) T3 = tensor(float), tensor(float16), tensor(uint8) T4 = tensor(int32) |
MaxpoolWithMask | in X:T in M:tensor(int32) out Y:T |
1+ | T = tensor(float) |
MultiHeadAttention | in query:T in key:T in value:T in bias:T in key_padding_mask:M in attention_bias:T in past_key:T in past_value:T out output:T out present_key:T out present_value:T |
1+ | T = tensor(float) |
MurmurHash3 | in X:T1 out Y:T2 |
1+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(string), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(uint32) |
NGramRepeatBlock | in input_ids:Tid in scores:T out scores_out:T |
1+ | T = tensor(float) Tid = tensor(int64) |
NhwcMaxPool | in x:T out y:T |
1+ | T = tensor(int8), tensor(uint8) |
Pad | in data:T in pads:tensor(int64) in value:T out output:T |
1+ | T = tensor(float) |
QAttention | in input:T1 in weight:T2 in bias:T3 in input_scale:T3 in weight_scale:T3 in mask_index:T4 in input_zero_point:T1 in weight_zero_point:T2 in past:T3 out output:T3 out present:T3 |
1+ | T1 = tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float) T4 = tensor(int32) |
QEmbedLayerNormalization | in input_ids:T1 in segment_ids:T1 in word_embedding_quant:T2 in position_embedding_quant:T2 in segment_embedding:T2 in gamma_quant:T2 in beta_quant:T2 in mask:T1 in word_embedding_scale:T in position_embedding_scale:T in segment_embedding_scale:T in gamma_scale:T in beta_scale:T in word_embedding_zero_point:T2 in position_embedding_zero_point:T2 in segment_embedding_zero_point:T2 in gamma_zero_point:T2 in beta_zero_point:T2 out layernorm_out:T out mask_index_out:T1 |
1+ | T = tensor(float) |
QGemm | in A:TA in a_scale:T in a_zero_point:TA in B:TB in b_scale:T in b_zero_point:TB in C:TC in y_scale:T in y_zero_point:TYZ out Y:TY |
1+ | T = tensor(float) TA = tensor(int8), tensor(uint8) TB = tensor(int8), tensor(uint8) TC = tensor(int32) TY = tensor(float), tensor(int8), tensor(uint8) TYZ = tensor(int8), tensor(uint8) |
QLinearAdd | in A:T in A_scale:tensor(float) in A_zero_point:T in B:T in B_scale:tensor(float) in B_zero_point:T in C_scale:tensor(float) in C_zero_point:T out C:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearConv | in x:T1 in x_scale:tensor(float) in x_zero_point:T1 in w:T2 in w_scale:tensor(float) in w_zero_point:T2 in y_scale:tensor(float) in y_zero_point:T3 in B:T4 out y:T3 |
1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) T4 = tensor(int32) |
QLinearLeakyRelu | in X:T in X_scale:tensor(float) in X_zero_point:T in Y_scale:tensor(float) in Y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearMul | in A:T in A_scale:tensor(float) in A_zero_point:T in B:T in B_scale:tensor(float) in B_zero_point:T in C_scale:tensor(float) in C_zero_point:T out C:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearSigmoid | in X:T in X_scale:tensor(float) in X_zero_point:T in Y_scale:tensor(float) in Y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearSoftmax | in X:T in X_scale:tensor(float) in x_zero_point:T in y_scale:tensor(float) in y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearWhere | in condition:B in X:T in x_scale:TF in x_zero_point:T in Y:T in y_scale:TF in y_zero_point:T in z_scale:TF in z_zero_point:T out Z:T |
1+ | T = tensor(int8), tensor(uint8) |
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 |
1+ | T1 = tensor(float) T2 = tensor(int16), tensor(int4), tensor(int8), tensor(uint16), tensor(uint4), tensor(uint8) |
QuickGelu | in X:T out Y:T |
1+ | T = tensor(float) |
Range | in start:T in limit:T in delta:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
RotaryEmbedding | in input:T in position_ids:M in cos_cache:T in sin_cache:T out output:T |
1+ | M = tensor(int64) T = tensor(float), tensor(float16) |
SampleOp | in X:T out Y:T |
1+ | T = tensor(float) |
Sampling | in input_ids:I in max_length:I in min_length:I in repetition_penalty:T in vocab_mask:I in prefix_vocab_mask:I in attention_mask:I in presence_mask:I in seed:I out sequences:I out filtered_logits:T |
1+ | T = tensor(float) |
SkipLayerNormalization | in input:T in skip:T in gamma:T in beta:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
SkipSimplifiedLayerNormalization | in input:T in skip:T in gamma:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
SparseAttention | in query:T in key:T in value:T in past_key:T in past_value:T in block_row_indices:M in block_col_indices:M in total_sequence_length:M in key_total_sequence_lengths:M in cos_cache:T in sin_cache:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(float) |
SparseToDenseMatMul | in A:T in B:T1 out Y:T1 |
1+ | T = sparse_tensor(double), sparse_tensor(float), sparse_tensor(int32), sparse_tensor(int64), sparse_tensor(uint32), sparse_tensor(uint64) T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
Tokenizer | in X:T out Y:T |
1+ | T = tensor(string) |
TransposeMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(float) |
Trilu | in X:T in k:tensor(int64) out Y:T |
1+ | T = tensor(double), tensor(float), tensor(int64) |
UnfoldTensor | in input:T out output:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Unique | in x:T out y:T out idx:tensor(int64) out counts:tensor(int64) |
1+ | T = tensor(float) |
WhisperBeamSearch | in input_ids:F in max_length:I in min_length:I in num_beams:I in num_return_sequences:I in length_penalty:T in repetition_penalty:T in vocab_mask:M in prefix_vocab_mask:M in attention_mask:I in decoder_input_ids:I in logits_processor:I in cross_qk_layer_head:I in extra_decoding_ids:I in temperature:T out sequences:I out sequences_scores:T out scores:T out cross_qk:V out non_speech_probs:T |
1+ | T = tensor(float) |
WordConvEmbedding | in Sequence:T in W:T1 in B:T1 in C:T1 out Y:T1 |
1+ | T = tensor(int32) T1 = tensor(float) |
Operator Domain: com.microsoft.nchwc | |||
AveragePool | in X:T out Y:T |
1+ | T = tensor(float) |
Conv | in X:T in W:T in B:T in Sum:T out Y:T |
1+ | T = tensor(float) |
GlobalAveragePool | in X:T out Y:T |
1+ | T = tensor(float) |
GlobalMaxPool | in X:T out Y:T |
1+ | T = tensor(float) |
MaxPool | in X:T out Y:T |
1+ | T = tensor(float) |
ReorderInput | in X:T out Y:T |
1+ | T = tensor(float) |
ReorderOutput | in X:T out Y:T |
1+ | T = tensor(float) |
Upsample | in X:T out Y:T |
1+ | T = tensor(float) |
Operators implemented by CUDAExecutionProvider
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx | |||
Abs | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Add | in A:T in B:T out C:T |
14+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Affine | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
And | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
ArgMax | in data:T out reduced:tensor(int64) |
13+ | T = tensor(double), tensor(float), tensor(float16) |
12 | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 11] | T = tensor(double), tensor(float), tensor(float16) | ||
ArgMin | in data:T out reduced:tensor(int64) |
13+ | T = tensor(double), tensor(float), tensor(float16) |
12 | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 11] | T = tensor(double), tensor(float), tensor(float16) | ||
AveragePool | in X:T out Y:T |
11+ | T = tensor(double), tensor(float), tensor(float16) |
10 | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 9] | T = tensor(double), tensor(float), tensor(float16) | ||
BatchNormalization | in X:T in scale:T in B:T in input_mean:U in input_var:U out Y:T out running_mean:U out running_var:U or in X:T in scale:T in B:T in mean:T in var:T out Y:T out mean:T out var:T out saved_mean:T out saved_var:T or in X:T in scale:T1 in B:T1 in input_mean:T2 in input_var:T2 out Y:T out running_mean:T2 out running_var:T2 |
15+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(double), tensor(float), tensor(float16) |
14 | T = tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float), tensor(float16) |
||
[9, 13] | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
Cast | in input:T1 out output:T2 |
19+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 18] | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[9, 12] | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[6, 8] | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Ceil | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Clip | in input:T in min:T in max:T out output:T or in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) |
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int64), tensor(int8), tensor(uint64), tensor(uint8) | ||
11 | T = tensor(float) | ||
[6, 10] | T = tensor(float) | ||
Compress | in input:T in condition:T1 out output:T |
11+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
Concat | in inputs:T out concat_result:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[4, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ConcatFromSequence | in input_sequence:S out concat_result:T |
11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
ConstantOfShape | in input:T1 out output:T2 |
9+ | T1 = tensor(int64) T2 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Conv | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ConvTranspose | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Cos | in input:T out output:T |
7+ | T = tensor(double), tensor(float), tensor(float16) |
Crop | in input:T out output:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
CumSum | in x:T in axis:T2 out y:T |
14+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(int64) |
[11, 13] | T = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(int32), tensor(int64) |
||
DepthToSpace | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
DequantizeLinear | in x:T in x_scale:tensor(float) in x_zero_point:T out y:tensor(float) or in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
21+ | T1 = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8) T2 = tensor(float), tensor(float16) |
[19, 20] | T1 = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
||
[13, 18] | T = tensor(int8), tensor(uint8) | ||
[10, 12] | T = tensor(int8), tensor(uint8) | ||
Div | in A:T in B:T out C:T |
14+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Dropout | in data:T in ratio:T1 in training_mode:T2 out output:T out mask:T2 or in data:T out output:T out mask:T or in data:T out output:T out mask:T1 |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
12 | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
[10, 11] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(bool) |
||
[7, 9] | T = tensor(double), tensor(float), tensor(float16) | ||
DynamicSlice | in data:T in starts:Tind in ends:Tind in axes:Tind out output:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
Einsum | in Inputs:T out Output:T |
12+ | T = tensor(double), tensor(float), tensor(float16) |
Elu | in X:T out Y:T |
6+ | T = tensor(double), tensor(float), tensor(float16) |
Equal | in A:T in B:T out C:T1 |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[11, 12] | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 10] | T = tensor(bool), tensor(int32), tensor(int64) | ||
Erf | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Exp | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Expand | in input:T in shape:tensor(int64) out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[8, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
EyeLike | in input:T1 out output:T2 |
9+ | T1 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) T2 = tensor(double), tensor(float), tensor(int32), tensor(int64), tensor(uint64) |
Flatten | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 8] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Floor | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
GRU | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
[7, 13] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
||
Gather | in data:T in indices:Tind out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
GatherElements | in data:T in indices:Tind out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
GatherND | in data:T in indices:tensor(int64) out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64) indices = tensor(int64) |
12 | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64) indices = tensor(int64) |
||
11 | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int64) indices = tensor(int64) |
||
Gelu | in X:T out Y:T |
20+ | T = tensor(double), tensor(float), tensor(float16) |
Gemm | in A:T in B:T in C:T out Y:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[9, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
GlobalAveragePool | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
GlobalMaxPool | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
Greater | in A:T in B:T out C:T1 |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
GreaterOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[12, 15] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
||
GridSample | in X:T1 in grid:T2 out Y:T1 |
16+ | T1 = tensor(float) T2 = tensor(float) |
HardSigmoid | in X:T out Y:T |
6+ | T = tensor(double), tensor(float), tensor(float16) |
Identity | in input:T out output:T or in input:V out output:V |
19+ | V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[14, 18] | V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
If | in cond:B out outputs:V |
19+ | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 18] | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[11, 12] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[1, 10] | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
ImageScaler | in input:T out output:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
InstanceNormalization | in input:T in scale:T in B:T out output:T |
6+ | T = tensor(double), tensor(float), tensor(float16) |
IsInf | in X:T1 out Y:T2 |
20+ | T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz) T2 = tensor(bool) |
[10, 19] | T1 = tensor(double), tensor(float) T2 = tensor(bool) |
||
IsNaN | in X:T1 out Y:T2 |
20+ | T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz) T2 = tensor(bool) |
[13, 19] | T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
[9, 12] | T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
||
LRN | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
LSTM | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T in initial_c:T in P:T out Y:T out Y_h:T out Y_c:T |
14+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
[7, 13] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
||
LayerNormalization | in X:T in Scale:T in B:T out Y:T out Mean:U out InvStdDev:U or in X:T in Scale:V in B:V out Y:V out Mean:U out InvStdDev:U |
17+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) U = tensor(float) |
[1, 16] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float) V = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
||
LeakyRelu | in X:T out Y:T |
16+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 15] | T = tensor(double), tensor(float), tensor(float16) | ||
Less | in A:T in B:T out C:T1 |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
LessOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
[12, 15] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T1 = tensor(bool) |
||
Log | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
LogSoftmax | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Loop | in M:I in cond:B in v_initial:V out v_final_and_scan_outputs:V |
19+ | B = tensor(bool) I = tensor(int64) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 18] | B = tensor(bool) I = tensor(int64) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[11, 12] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
[1, 10] | B = tensor(bool) I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
MatMul | in A:T in B:T out Y:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[9, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
MatMulInteger | in A:T1 in B:T2 in a_zero_point:T1 in b_zero_point:T2 out Y:T3 |
10+ | T1 = tensor(int8) T2 = tensor(int8) T3 = tensor(int32) |
Max | in data_0:T out max:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[6, 11] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
MaxPool | in X:T out Y:T or in X:T out Y:T out Indices:I |
12+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
11 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
||
10 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
||
[8, 9] | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16) |
||
[1, 7] | T = tensor(double), tensor(float), tensor(float16) | ||
MemcpyFromHost | in X:T out Y:T |
1+ | T = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
MemcpyToHost | in X:T out Y:T |
1+ | T = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Min | in data_0:T out min:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
12 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[6, 11] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
Mod | in A:T in B:T out C:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
[10, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Mul | in A:T in B:T out C:T |
14+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Neg | in X:T out Y:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) | ||
NonZero | in X:T out Y:tensor(int64) |
13+ | T = tensor(bool), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8) |
[9, 12] | T = tensor(bool), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8) | ||
Not | in X:T out Y:T |
1+ | T = tensor(bool) |
OneHot | in indices:T1 in depth:T2 in values:T3 out output:T3 |
11+ | T1 = tensor(int32), tensor(int64) T2 = tensor(int32), tensor(int64) T3 = tensor(float), tensor(float16), tensor(int64) |
Or | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
PRelu | in X:T in slope:T out Y:T |
16+ | T = tensor(double), tensor(float), tensor(float16) |
[9, 15] | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
Pad | in data:T in pads:tensor(int64) in constant_value:T in axes:Tind out output:T or in data:T in pads:tensor(int64) in constant_value:T out output:T or in data:T out output:T |
18+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16) |
[13, 17] | T = tensor(bool), tensor(double), tensor(float), tensor(float16) | ||
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[2, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
ParametricSoftplus | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
Pow | in X:T in Y:T out Z:T or in X:T in Y:T1 out Z:T |
15+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
[13, 14] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
||
12 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
||
[7, 11] | T = tensor(double), tensor(float), tensor(float16) | ||
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 or in x:T1 in y_scale:tensor(float) in y_zero_point:T2 out y:T2 |
21+ | T1 = tensor(float), tensor(float16) T2 = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int4), tensor(int8), tensor(uint4), tensor(uint8) |
[19, 20] | T1 = tensor(float), tensor(float16) T2 = tensor(float8e4m3fn), tensor(float8e5m2), tensor(int8), tensor(uint8) |
||
[13, 18] | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
||
[10, 12] | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
||
RNN | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
[7, 13] | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(int32) |
||
RandomNormal | out output:T | 1+ | T = tensor(double), tensor(float), tensor(float16) |
RandomNormalLike | in input:T1 out output:T2 |
1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float), tensor(float16) |
RandomUniform | out output:T | 1+ | T = tensor(double), tensor(float), tensor(float16) |
RandomUniformLike | in input:T1 out output:T2 |
1+ | T1 = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(double), tensor(float), tensor(float16) |
Range | in start:T in limit:T in delta:T out output:T |
11+ | T = tensor(double), tensor(float), tensor(int16), tensor(int32), tensor(int64) |
Reciprocal | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceL1 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceL2 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceLogSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceLogSumExp | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16) | ||
ReduceMax | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
ReduceMean | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceMin | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(int8), tensor(uint8) | ||
ReduceProd | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16), tensor(int32) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16), tensor(int32) | ||
ReduceSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
ReduceSumSquare | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 17] | T = tensor(double), tensor(float), tensor(float16) | ||
Relu | in X:T out Y:T |
14+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
13 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Reshape | in data:T in shape:tensor(int64) out reshaped:T or in data:T out reshaped:T |
19+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
[14, 18] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
13 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[5, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) shape = tensor(int64) |
||
[1, 4] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Resize | in X:T in scales:tensor(float) out Y:T or in X:T1 in roi:T2 in scales:tensor(float) in sizes:tensor(int64) out Y:T1 |
18+ | T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) |
[13, 17] | T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
[11, 12] | T1 = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
10 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
ReverseSequence | in input:T in sequence_lens:tensor(int64) out Y:T |
10+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
RoiAlign | in X:T1 in rois:T1 in batch_indices:T2 out Y:T1 |
10+ | T1 = tensor(double), tensor(float) T2 = tensor(int64) |
Round | in X:T out Y:T |
11+ | T = tensor(double), tensor(float), tensor(float16) |
ScaledTanh | in input:T out output:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
Scan | in initial_state_and_scan_inputs:V out final_state_and_scan_outputs:V or in sequence_lens:I in initial_state_and_scan_inputs:V out final_state_and_scan_outputs:V |
19+ | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[16, 18] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 15] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[9, 10] | V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
8 | I = tensor(int64) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Scatter | in data:T in indices:Tind in updates:T out output:T |
[9, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
ScatterElements | in data:T in indices:Tind in updates:T out output:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[16, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[13, 15] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
ScatterND | in data:T in indices:tensor(int64) in updates:T out output:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[16, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[13, 15] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Selu | in X:T out Y:T |
6+ | T = tensor(double), tensor(float), tensor(float16) |
SequenceAt | in input_sequence:S in position:I out tensor:T |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceConstruct | in inputs:T out output_sequence:S |
11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceEmpty | out output:S | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceErase | in input_sequence:S in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceInsert | in input_sequence:S in tensor:T in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceLength | in input_sequence:S out length:I |
11+ | I = tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
Shape | in data:T out shape:T1 |
19+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[15, 18] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[13, 14] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Shrink | in input:T out output:T |
9+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Sigmoid | in X:T out Y:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Sign | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SimplifiedLayerNormalization | in X:T in scale:V out Y:V out inv_std_var:U |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float) V = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
Sin | in input:T out output:T |
7+ | T = tensor(double), tensor(float), tensor(float16) |
Size | in data:T out size:T1 |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Slice | in data:T in starts:Tind in ends:Tind in axes:Tind in steps:Tind out output:T or in data:T out output:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
10 | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
[1, 9] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Softmax | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
Softplus | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
Softsign | in input:T out output:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
SpaceToDepth | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Split | in input:T in split:T out outputs...:T or in input:T in split:tensor(int64) out outputs:T or in input:T out outputs:T |
18+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[13, 17] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[2, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sqrt | in X:T out Y:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Squeeze | in data:T in axes:tensor(int64) out squeezed:T or in data:T out squeezed:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sub | in A:T in B:T out C:T |
14+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13 | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
[7, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Sum | in data_0:T out sum:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[8, 12] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
[6, 7] | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) | ||
Tanh | in input:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
ThresholdedRelu | in X:T out Y:T |
10+ | T = tensor(double), tensor(float), tensor(float16) |
1+ | T = tensor(double), tensor(float), tensor(float16) | ||
Tile | in input:T in repeats:T1 out output:T or in input:T in tiles:T in axis:T out output:T |
13+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(int64) |
[6, 12] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) T1 = tensor(int64) |
||
TopK | in X:T in K:tensor(int64) out Values:T out Indices:I or in X:T out Values:T out Indices:I |
11+ | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
10 | I = tensor(int64) T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) |
||
[1, 9] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64) | ||
Transpose | in data:T out transposed:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[1, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Trilu | in input:T in k:tensor(int64) out output:T |
14+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Unsqueeze | in data:T in axes:tensor(int64) out expanded:T or in data:T out expanded:T |
13+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
[11, 12] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
[1, 10] | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Upsample | in X:T in scales:tensor(float) out Y:T or in X:T out Y:T |
9 | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) |
[7, 8] | T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(uint8) | ||
Where | in condition:B in X:T in Y:T out output:T |
16+ | B = tensor(bool) T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8) |
[9, 15] | B = tensor(bool) T = tensor(double), tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint8) |
||
Xor | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) T1 = tensor(bool) |
Operator Domain: com.microsoft | |||
Attention | in input:T in weights:T in bias:T in mask_index:M in past:T in attention_bias:T in past_sequence_length:M out output:T out present:T |
1+ | T = tensor(float), tensor(float16) |
BeamSearch | in input_ids:F in max_length:I in min_length:I in num_beams:I in num_return_sequences:I in length_penalty:T in repetition_penalty:T in vocab_mask:M in prefix_vocab_mask:M in attention_mask:I in decoder_input_ids:I in logits_processor:I out sequences:I out sequences_scores:T out scores:T |
1+ | T = tensor(float), tensor(float16) |
BiasAdd | in X:T in bias:T in skip:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
BiasDropout | in data:T in bias:T in residual:T in ratio:T1 in training_mode:T2 out output:T out mask:T2 |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) |
BiasGelu | in A:T in B:T out C:T |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
BiasSoftmax | in data:T in bias:T out output:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
BiasSplitGelu | in X:T in bias:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
BitmaskBiasDropout | in data:T in bias:T in residual:T in ratio:T1 in training_mode:T2 out output:T out mask:T3 |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) T3 = tensor(uint32) |
BitmaskDropout | in data:T in ratio:T1 in training_mode:T2 out output:T out mask:T3 |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T1 = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) T2 = tensor(bool) T3 = tensor(uint32) |
ComplexMul | in A:T in B:T out C:T |
1+ | T = tensor(float), tensor(float16) |
ComplexMulConj | in A:T in B:T out C:T |
1+ | T = tensor(float), tensor(float16) |
ConvTransposeWithDynamicPads | in X:T in W:T in Pads:tensor(int64) in B:T out Y:T |
1+ | T = tensor(float) |
DecoderAttention | in query:T in key:T in q_weight:T in kv_weight:T in bias:T in key_padding_mask:B in key_cache:T in value_cache:T in static_kv:B in use_past:B in has_layer_state:B in has_key_padding_mask:B out output:T out new_key_cache:T out new_value_cache:T |
1+ | T = tensor(float), tensor(float16) |
DecoderMaskedMultiHeadAttention | in query:T in key:T in value:T in mask_index:M in attention_bias:T in past_key:T in past_value:T in past_sequence_length:M in beam_width:M in cache_indirection:M in bias:T out output:T out present_key:T out present_value:T out qk:V |
1+ | T = tensor(float), tensor(float16) |
DecoderMaskedSelfAttention | in input:T in weights:T in bias:T in mask_index:M in past:T in attention_bias:T in past_sequence_length:M in beam_width:M in cache_indirection:M out output:T out present:T |
1+ | T = tensor(float), tensor(float16) |
DequantizeLinear | in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(float16) |
DequantizeWithOrder | in input:Q in scale_input:S out output:F |
1+ | F = tensor(float), tensor(float16) Q = tensor(int8) S = tensor(float) |
DynamicTimeWarping | in input:F out output:I |
1+ | F = tensor(float) I = tensor(int32) |
EmbedLayerNormalization | in input_ids:T1 in segment_ids:T1 in word_embedding:T in position_embedding:T in segment_embedding:T in gamma:T in beta:T in mask:T1 in position_ids:T1 out output:T out mask_index:T1 out embedding_sum:T |
1+ | T = tensor(float), tensor(float16) |
FastGelu | in X:T in bias:T out Y:T |
1+ | T = tensor(bfloat16), tensor(float), tensor(float16) |
FusedConv | in X:T in W:T in B:T in Z:T out Y:T |
1+ | T = tensor(float) |
FusedMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
GatedRelativePositionBias | in query_layer:T in query_bias:T in rel_pos:T in weight:T in bias:T in eco_a:T in token_offset:M out output:T |
1+ | T = tensor(float), tensor(float16) |
Gelu | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
GemmFloat8 | in A:TA in B:TB in C:TC in scaleA:TS in scaleB:TS in scaleY:TS out Y:TR |
1+ | TA = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2) TB = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2) TR = tensor(bfloat16), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e5m2) TS = tensor(float) |
GemmaRotaryEmbedding | in emb:U in q:T in q_rot:T in k:T in k_rot:T out output1:T out output2:T |
1+ | T = tensor(float16) U = tensor(float) |
GreedySearch | in input_ids:I in max_length:I in min_length:I in repetition_penalty:T in vocab_mask:I in prefix_vocab_mask:I in attention_mask:I out sequences:I |
1+ | T = tensor(float), tensor(float16) |
GridSample | in X:T1 in Grid:T1 out Y:T2 |
1+ | T1 = tensor(float) T2 = tensor(float) |
GroupNorm | in X:T in gamma:M in beta:M out Y:T |
1+ | T = tensor(float), tensor(float16) |
GroupQueryAttention | in query:T in key:T in value:T in past_key:T in past_value:T in seqlens_k:M in total_sequence_length:M in cos_cache:T in sin_cache:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(bfloat16), tensor(float16) |
Inverse | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
Irfft | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
LongformerAttention | in input:T in weight:T in bias:T in mask:T in global_weight:T in global_bias:T in global:G out output:T |
1+ | T = tensor(float), tensor(float16) |
MatMulBnb4 | in A:T1 in B:T2 in absmax:T1 out Y:T1 |
1+ | T1 = tensor(bfloat16), tensor(float), tensor(float16) T2 = tensor(uint8) |
MatMulNBits | in A:T1 in B:T2 in scales:T1 in zero_points:T3 in g_idx:T4 in bias:T1 out Y:T1 |
1+ | T1 = tensor(float), tensor(float16) T2 = tensor(uint8) |
MoE | in input:T in router_probs:T in fc1_experts_weights:T in fc1_experts_bias:T in fc2_experts_weights:T in fc2_experts_bias:T in fc3_experts_weights:T in fc3_experts_bias:T out output:T |
1+ | T = tensor(float), tensor(float16) |
MultiHeadAttention | in query:T in key:T in value:T in bias:T in key_padding_mask:M in attention_bias:T in past_key:T in past_value:T out output:T out present_key:T out present_value:T |
1+ | T = tensor(float), tensor(float16) |
NGramRepeatBlock | in input_ids:Tid in scores:T out scores_out:T |
1+ | T = tensor(float) Tid = tensor(int64) |
NhwcConv | in X:T in W:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
PackedAttention | in input:T in weights:T in bias:T in token_offset:M in cumulative_sequence_length:M in attention_bias:T out output:T |
1+ | T = tensor(float), tensor(float16) |
PackedMultiHeadAttention | in query:T in key:T in value:T in bias:T in token_offset:M in cumulative_sequence_length:M in attention_bias:T out output:T |
1+ | T = tensor(float), tensor(float16) |
QAttention | in input:T1 in weight:T2 in bias:T3 in input_scale:T3 in weight_scale:T3 in mask_index:T4 in input_zero_point:T1 in weight_zero_point:T2 in past:T3 out output:T3 out present:T3 |
1+ | T1 = tensor(int8) T2 = tensor(int8) T3 = tensor(float), tensor(float16) T4 = tensor(int32) |
QMoE | in input:T in router_probs:T in fc1_experts_weights:T1 in fc1_scales:T in fc1_experts_bias:T in fc2_experts_weights:T1 in fc2_scales:T in fc2_experts_bias:T in fc3_experts_weights:T1 in fc3_scales:T in fc3_experts_bias:T out output:T |
1+ | T = tensor(float16) T1 = tensor(uint8) |
QOrderedAttention | in input:Q in scale_input:S in scale_Q_gemm:S in scale_K_gemm:S in scale_V_gemm:S in Q_weight:Q in K_weight:Q in V_weight:Q in scale_Q_weight:S in scale_K_weight:S in scale_V_weight:S in Q_bias:S in K_bias:S in V_bias:S in scale_QKT_gemm:S in scale_QKT_softmax:S in scale_values_gemm:S in mask_index:G in past:Q in attention_bias:S out output:Q |
1+ | G = tensor(int32) Q = tensor(int8) S = tensor(float) |
QOrderedGelu | in X:Q in scale_X:S in scale_Y:S out Y:Q |
1+ | Q = tensor(int8) S = tensor(float) |
QOrderedLayerNormalization | in X:Q in scale_X:S in scale:F in B:F in scale_Y:S out Y:Q |
1+ | F = tensor(float), tensor(float16) Q = tensor(int8) S = tensor(float) |
QOrderedLongformerAttention | in input:Q in scale_input:S in weight:Q in scale_weight:S in bias:S in scale_bias:S in scale_qkv_gemm:S in mask:F in global_weight:Q in scale_global_weight:S in global_bias:S in scale_global_gemm:S in global:G in scale_output:S out output:Q |
1+ | F = tensor(float16) G = tensor(int32) Q = tensor(int8) S = tensor(float) |
QOrderedMatMul | in A:Q in scale_A:S in B:Q in scale_B:S in scale_Y:S in bias:S in C:Q in scale_C:S out Y:Q |
1+ | Q = tensor(int8) S = tensor(float) |
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 |
1+ | T1 = tensor(float16) T2 = tensor(int8), tensor(uint8) |
QuantizeWithOrder | in input:F in scale_input:S out output:Q |
1+ | F = tensor(float), tensor(float16) Q = tensor(int8) S = tensor(float) |
QuickGelu | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
RelativePositionBias | in bias_table:T in query_length:U in key_length:U out output:T |
1+ | T = tensor(float), tensor(float16) |
RemovePadding | in input:T in sequence_token_count:M out output:T out token_offset:M out cumulated_seq_len:M out max_seq_len:M |
1+ | T = tensor(float), tensor(float16) |
RestorePadding | in input:T in token_offset:M out output:T |
1+ | T = tensor(float), tensor(float16) |
Rfft | in X:T out Y:T |
1+ | T = tensor(double), tensor(float), tensor(float16) |
RotaryEmbedding | in input:T in position_ids:M in cos_cache:T in sin_cache:T out output:T |
1+ | M = tensor(int64) T = tensor(bfloat16), tensor(float), tensor(float16) |
Sampling | in input_ids:I in max_length:I in min_length:I in repetition_penalty:T in vocab_mask:I in prefix_vocab_mask:I in attention_mask:I in presence_mask:I in seed:I out sequences:I out filtered_logits:T |
1+ | T = tensor(float), tensor(float16) |
SkipGroupNorm | in X:T in gamma:M in beta:M in skip:T in bias:T out Y:T out S:T |
1+ | T = tensor(float), tensor(float16) |
SkipLayerNormalization | in input:T in skip:T in gamma:T in beta:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(float), tensor(float16) |
SkipSimplifiedLayerNormalization | in input:T in skip:T in gamma:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(float), tensor(float16) |
SparseAttention | in query:T in key:T in value:T in past_key:T in past_value:T in block_row_indices:M in block_col_indices:M in total_sequence_length:M in key_total_sequence_lengths:M in cos_cache:T in sin_cache:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(bfloat16), tensor(float16) |
TransposeMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(bfloat16), tensor(double), tensor(float), tensor(float16) |
Trilu | in X:T in k:tensor(int64) out Y:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
UnfoldTensor | in input:T out output:T |
1+ | T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
WhisperBeamSearch | in input_ids:F in max_length:I in min_length:I in num_beams:I in num_return_sequences:I in length_penalty:T in repetition_penalty:T in vocab_mask:M in prefix_vocab_mask:M in attention_mask:I in decoder_input_ids:I in logits_processor:I in cross_qk_layer_head:I in extra_decoding_ids:I in temperature:T out sequences:I out sequences_scores:T out scores:T out cross_qk:V out non_speech_probs:T |
1+ | T = tensor(float), tensor(float16) |
Operator Domain: com.ms.internal.nhwc | |||
AveragePool | in X:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
10 | T = tensor(float), tensor(float16) | ||
[7, 9] | T = tensor(float), tensor(float16) | ||
BatchNormalization | in X:T in scale:T in B:T in input_mean:U in input_var:U out Y:T out running_mean:U out running_var:U or in X:T in scale:T in B:T in mean:T in var:T out Y:T out mean:T out var:T out saved_mean:T out saved_var:T or in X:T in scale:T1 in B:T1 in input_mean:T2 in input_var:T2 out Y:T out running_mean:T2 out running_var:T2 |
15+ | T = tensor(double), tensor(float), tensor(float16) T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(double), tensor(float), tensor(float16) |
14 | T = tensor(double), tensor(float), tensor(float16) U = tensor(double), tensor(float), tensor(float16) |
||
[9, 13] | T = tensor(double), tensor(float), tensor(float16) | ||
[7, 8] | T = tensor(double), tensor(float), tensor(float16) | ||
Conv | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
[1, 10] | T = tensor(float), tensor(float16) | ||
ConvTranspose | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
[1, 10] | T = tensor(float), tensor(float16) | ||
DepthToSpace | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[11, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
[1, 10] | T = tensor(double), tensor(float), tensor(float16) | ||
GlobalAveragePool | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
GlobalMaxPool | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
GridSample | in X:T1 in grid:T2 out Y:T1 |
16+ | T1 = tensor(float) T2 = tensor(float) |
LRN | in X:T out Y:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
MaxPool | in X:T out Y:T or in X:T out Y:T out Indices:I |
12+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
11 | I = tensor(int64) T = tensor(float), tensor(float16) |
||
10 | I = tensor(int64) T = tensor(float), tensor(float16) |
||
[8, 9] | I = tensor(int64) T = tensor(float), tensor(float16) |
||
[1, 7] | T = tensor(float), tensor(float16) | ||
SpaceToDepth | in input:T out output:T |
13+ | T = tensor(double), tensor(float), tensor(float16) |
[1, 12] | T = tensor(double), tensor(float), tensor(float16) | ||
Operators implemented by DmlExecutionProvider
Op Name | Parameters | OpSet Version | Types Supported |
---|---|---|---|
Operator Domain: ai.onnx | |||
Abs | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) |
6+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) | ||
Acos | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Acosh | in input:T out output:T |
9+ | T = tensor(float), tensor(float16) |
Add | in A:T in B:T out C:T |
14+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
7+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Affine | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
And | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) |
ArgMax | in data:T out reduced:tensor(int64) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ArgMin | in data:T out reduced:tensor(int64) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Asin | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Asinh | in input:T out output:T |
9+ | T = tensor(float), tensor(float16) |
Atan | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Atanh | in input:T out output:T |
9+ | T = tensor(float), tensor(float16) |
AveragePool | in X:T out Y:T |
19+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
10+ | T = tensor(float), tensor(float16) | ||
7+ | T = tensor(float), tensor(float16) | ||
BatchNormalization | in X:T in scale:T in B:T in input_mean:U in input_var:U out Y:T out running_mean:U out running_var:U or in X:T in scale:T in B:T in mean:T in var:T out Y:T out mean:T out var:T out saved_mean:T out saved_var:T or in X:T in scale:T1 in B:T1 in input_mean:T2 in input_var:T2 out Y:T out running_mean:T2 out running_var:T2 |
15+ | T = tensor(float), tensor(float16) |
14+ | T = tensor(float), tensor(float16) | ||
9+ | T = tensor(float), tensor(float16) | ||
7+ | T = tensor(float), tensor(float16) | ||
BitShift | in X:T in Y:T out Z:T |
11+ | T = tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseAnd | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseNot | in X:T out Y:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseOr | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
BitwiseXor | in A:T in B:T out C:T |
18+ | T = tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Cast | in input:T1 out output:T2 |
21+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
19+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
13+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
9+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
6+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
CastLike | in input:T1 in target_type:T2 out output:T2 |
21+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
19+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
15+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Ceil | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
Celu | in X:T out Y:T |
12+ | T = tensor(float), tensor(float16) |
Clip | in input:T in min:T in max:T out output:T or in input:T out output:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
Col2Im | in input:T in image_shape:tensor(int64) in block_shape:tensor(int64) out output:T |
18+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Concat | in inputs:T out concat_result:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
4+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ConcatFromSequence | in input_sequence:S out concat_result:T |
11+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
ConstantOfShape | in input:T1 out output:T2 |
21+ | T1 = tensor(int64) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
9+ | T1 = tensor(int64) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Conv | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
1+ | T = tensor(float), tensor(float16) | ||
ConvInteger | in x:T1 in w:T2 in x_zero_point:T1 in w_zero_point:T2 out y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int32) |
ConvTranspose | in X:T in W:T in B:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
1+ | T = tensor(float), tensor(float16) | ||
Cos | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Cosh | in input:T out output:T |
9+ | T = tensor(float), tensor(float16) |
Crop | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
CumSum | in x:T in axis:T2 out y:T |
14+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
11+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
DFT | in input:T1 in dft_length:T2 in axis:tensor(int64) out output:T1 or in input:T1 in dft_length:T2 out output:T1 |
20+ | T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(int32), tensor(int64) |
17+ | T1 = tensor(double), tensor(float), tensor(float16) T2 = tensor(int32), tensor(int64) |
||
DepthToSpace | in input:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
DequantizeLinear | in x:T in x_scale:tensor(float) in x_zero_point:T out y:tensor(float) or in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
21+ | T1 = tensor(int4), tensor(int8), tensor(uint4), tensor(uint8) T2 = tensor(float), tensor(float16) |
19+ | T1 = tensor(int32), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
||
13+ | T = tensor(int32), tensor(int8), tensor(uint8) | ||
10+ | T = tensor(int32), tensor(int8), tensor(uint8) | ||
Div | in A:T in B:T out C:T |
14+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
7+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Dropout | in data:T in ratio:T1 in training_mode:T2 out output:T out mask:T2 or in data:T out output:T out mask:T or in data:T out output:T out mask:T1 |
7+ | T = tensor(float), tensor(float16) |
DynamicQuantizeLinear | in x:T1 out y:T2 out y_scale:tensor(float) out y_zero_point:T2 |
11+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
Einsum | in Inputs:T out Output:T |
12+ | T = tensor(float), tensor(float16) |
Elu | in X:T out Y:T |
6+ | T = tensor(float), tensor(float16) |
Equal | in A:T in B:T out C:T1 |
19+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
11+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
7+ | T = tensor(float), tensor(float16) T1 = tensor(bool) |
||
Erf | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
9+ | T = tensor(float), tensor(float16) | ||
Exp | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
Expand | in input:T in shape:tensor(int64) out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
8+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
EyeLike | in input:T1 out output:T2 |
9+ | T1 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Flatten | in input:T out output:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
9+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Floor | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
GRU | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(float), tensor(float16) |
7+ | T = tensor(float), tensor(float16) | ||
Gather | in data:T in indices:Tind out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
GatherElements | in data:T in indices:Tind out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
GatherND | in data:T in indices:tensor(int64) out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Gemm | in A:T in B:T in C:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
9+ | T = tensor(float), tensor(float16) | ||
7+ | T = tensor(float), tensor(float16) | ||
GlobalAveragePool | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
GlobalLpPool | in X:T out Y:T |
2+ | T = tensor(float), tensor(float16) |
GlobalMaxPool | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
Greater | in A:T in B:T out C:T1 |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
9+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
7+ | T = tensor(float), tensor(float16) T1 = tensor(bool) |
||
GreaterOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
GridSample | in X:T1 in grid:T2 out Y:T1 |
16+ | T1 = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T2 = tensor(float), tensor(float16) |
HardSigmoid | in X:T out Y:T |
6+ | T = tensor(float), tensor(float16) |
Hardmax | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
Identity | in input:T out output:T or in input:V out output:V |
19+ | V = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
16+ | V = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
14+ | V = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
If | in cond:B out outputs:V |
19+ | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(float8e4m3fn)), seq(tensor(float8e4m3fnuz)), seq(tensor(float8e5m2)), seq(tensor(float8e5m2fnuz)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(float8e4m3fn), tensor(float8e4m3fnuz), tensor(float8e5m2), tensor(float8e5m2fnuz), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
16+ | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
13+ | B = tensor(bool) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
11+ | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
7+ | B = tensor(bool) V = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
ImageScaler | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
InstanceNormalization | in input:T in scale:T in B:T out output:T |
6+ | T = tensor(float), tensor(float16) |
IsInf | in X:T1 out Y:T2 |
20+ | T1 = tensor(float) T2 = tensor(bool) |
10+ | T1 = tensor(float) T2 = tensor(bool) |
||
IsNaN | in X:T1 out Y:T2 |
20+ | T1 = tensor(float), tensor(float16) T2 = tensor(bool) |
13+ | T1 = tensor(float), tensor(float16) T2 = tensor(bool) |
||
9+ | T1 = tensor(float), tensor(float16) T2 = tensor(bool) |
||
LRN | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
1+ | T = tensor(float), tensor(float16) | ||
LSTM | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T in initial_c:T in P:T out Y:T out Y_h:T out Y_c:T |
14+ | T = tensor(float), tensor(float16) |
7+ | T = tensor(float), tensor(float16) | ||
LayerNormalization | in X:T in Scale:T in B:T out Y:T out Mean:U out InvStdDev:U or in X:T in Scale:V in B:V out Y:V out Mean:U out InvStdDev:U |
17+ | T = tensor(float), tensor(float16) U = tensor(float) |
1+ | T = tensor(float), tensor(float16) U = tensor(float), tensor(float16) V = tensor(float), tensor(float16) |
||
LeakyRelu | in X:T out Y:T |
16+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
Less | in A:T in B:T out C:T1 |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
9+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
7+ | T = tensor(float), tensor(float16) T1 = tensor(bool) |
||
LessOrEqual | in A:T in B:T out C:T1 |
16+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T1 = tensor(bool) |
||
Log | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
LogSoftmax | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
LpNormalization | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
LpPool | in X:T out Y:T |
18+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
2+ | T = tensor(float), tensor(float16) | ||
MatMul | in A:T in B:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
9+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
MatMulInteger | in A:T1 in B:T2 in a_zero_point:T1 in b_zero_point:T2 out Y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int32) |
Max | in data_0:T out max:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
8+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
MaxPool | in X:T out Y:T or in X:T out Y:T out Indices:I |
12+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
11+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
||
10+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
||
8+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int8), tensor(uint8) |
||
1+ | T = tensor(float), tensor(float16) | ||
MaxRoiPool | in X:T in rois:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
MaxUnpool | in X:T1 in I:T2 in output_shape:T2 out output:T1 |
11+ | T1 = tensor(float), tensor(float16) T2 = tensor(int64) |
9+ | T1 = tensor(float), tensor(float16) T2 = tensor(int64) |
||
Mean | in data_0:T out mean:T |
13+ | T = tensor(float), tensor(float16) |
8+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
MeanVarianceNormalization | in X:T out Y:T or in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
9+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
MemcpyFromHost | in X:T out Y:T |
1+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) |
MemcpyToHost | in X:T out Y:T |
1+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) |
Min | in data_0:T out min:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
8+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
Mod | in A:T in B:T out C:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
10+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) | ||
Mul | in A:T in B:T out C:T |
14+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
7+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Neg | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) |
6+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8) | ||
NonZero | in X:T out Y:tensor(int64) |
13+ | T = tensor(bool), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
9+ | T = tensor(bool), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) | ||
Not | in X:T out Y:T |
1+ | T = tensor(bool) |
OneHot | in indices:T1 in depth:T2 in values:T3 out output:T3 |
11+ | T1 = tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T3 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
9+ | T1 = tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) T2 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) T3 = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
OptionalGetElement | in input:O out output:V |
18+ | O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
15+ | O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)) V = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
OptionalHasElement | in input:O out output:B |
18+ | B = tensor(bool) O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)), seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(string)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(string), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
15+ | B = tensor(bool) O = optional(seq(tensor(bfloat16))), optional(seq(tensor(bool))), optional(seq(tensor(double))), optional(seq(tensor(float))), optional(seq(tensor(float16))), optional(seq(tensor(int16))), optional(seq(tensor(int32))), optional(seq(tensor(int64))), optional(seq(tensor(int8))), optional(seq(tensor(string))), optional(seq(tensor(uint16))), optional(seq(tensor(uint32))), optional(seq(tensor(uint64))), optional(seq(tensor(uint8))), optional(tensor(bfloat16)), optional(tensor(bool)), optional(tensor(double)), optional(tensor(float)), optional(tensor(float16)), optional(tensor(int16)), optional(tensor(int32)), optional(tensor(int64)), optional(tensor(int8)), optional(tensor(string)), optional(tensor(uint16)), optional(tensor(uint32)), optional(tensor(uint64)), optional(tensor(uint8)) |
||
Or | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) |
PRelu | in X:T in slope:T out Y:T |
16+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8) |
9+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8) | ||
7+ | T = tensor(float), tensor(float16) | ||
Pad | in data:T in pads:tensor(int64) in constant_value:T in axes:Tind out output:T or in data:T in pads:tensor(int64) in constant_value:T out output:T or in data:T out output:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
19+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
18+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
2+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
ParametricSoftplus | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
Pow | in X:T in Y:T out Z:T or in X:T in Y:T1 out Z:T |
15+ | T = tensor(float), tensor(float16), tensor(int32) T1 = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
13+ | T = tensor(float), tensor(float16), tensor(int32) T1 = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
||
12+ | T = tensor(float), tensor(float16), tensor(int32) T1 = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
||
7+ | T = tensor(float), tensor(float16) | ||
QLinearConv | in x:T1 in x_scale:tensor(float) in x_zero_point:T1 in w:T2 in w_scale:tensor(float) in w_zero_point:T2 in y_scale:tensor(float) in y_zero_point:T3 in B:T4 out y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) T4 = tensor(int32) |
QLinearMatMul | in a:T1 in a_scale:TS in a_zero_point:T1 in b:T2 in b_scale:TS in b_zero_point:T2 in y_scale:TS in y_zero_point:T3 out y:T3 or in a:T1 in a_scale:tensor(float) in a_zero_point:T1 in b:T2 in b_scale:tensor(float) in b_zero_point:T2 in y_scale:tensor(float) in y_zero_point:T3 out y:T3 |
10+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(int8), tensor(uint8) |
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 or in x:T1 in y_scale:tensor(float) in y_zero_point:T2 out y:T2 |
21+ | T1 = tensor(float), tensor(float16) T2 = tensor(int4), tensor(int8), tensor(uint4), tensor(uint8) |
19+ | T1 = tensor(float), tensor(float16), tensor(int32) T2 = tensor(int8), tensor(uint8) |
||
13+ | T1 = tensor(float), tensor(int32) T2 = tensor(int8), tensor(uint8) |
||
10+ | T1 = tensor(float), tensor(int32) T2 = tensor(int8), tensor(uint8) |
||
RNN | in X:T in W:T in R:T in B:T in sequence_lens:T1 in initial_h:T out Y:T out Y_h:T |
14+ | T = tensor(float), tensor(float16) |
7+ | T = tensor(float), tensor(float16) | ||
Range | in start:T in limit:T in delta:T out output:T |
11+ | T = tensor(float), tensor(int16), tensor(int32), tensor(int64) |
Reciprocal | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
ReduceL1 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
11+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
1+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
ReduceL2 | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceLogSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceLogSumExp | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceMax | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
20+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceMean | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceMin | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
20+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
12+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
ReduceProd | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
11+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
1+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
ReduceSum | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
13+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
11+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
1+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
ReduceSumSquare | in data:T in axes:tensor(int64) out reduced:T or in data:T out reduced:T |
18+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) |
13+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
11+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
1+ | T = tensor(float), tensor(float16), tensor(int32), tensor(int64), tensor(uint32), tensor(uint64) | ||
Relu | in X:T out Y:T |
14+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8) |
13+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
Reshape | in data:T in shape:tensor(int64) out reshaped:T or in data:T out reshaped:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
19+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
14+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
5+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Resize | in X:T in scales:tensor(float) out Y:T or in X:T1 in roi:T2 in scales:tensor(float) in sizes:tensor(int64) out Y:T1 |
19+ | T1 = tensor(float), tensor(float16), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
18+ | T1 = tensor(float), tensor(float16), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
||
13+ | T1 = tensor(float), tensor(float16), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
||
11+ | T1 = tensor(float), tensor(float16), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
||
10+ | T = tensor(float), tensor(float16) | ||
ReverseSequence | in input:T in sequence_lens:tensor(int64) out Y:T |
10+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
RoiAlign | in X:T1 in rois:T1 in batch_indices:T2 out Y:T1 |
16+ | T1 = tensor(float), tensor(float16) T2 = tensor(int32), tensor(int64) |
10+ | T1 = tensor(float), tensor(float16) T2 = tensor(int32), tensor(int64) |
||
Round | in X:T out Y:T |
11+ | T = tensor(float), tensor(float16) |
STFT | in signal:T1 in frame_step:T2 in window:T1 in frame_length:T2 out output:T1 |
17+ | T1 = tensor(float), tensor(float16) T2 = tensor(int32), tensor(int64) |
ScaledTanh | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
Scatter | in data:T in indices:Tind in updates:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
9+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
ScatterElements | in data:T in indices:Tind in updates:T out output:T |
16+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
ScatterND | in data:T in indices:tensor(int64) in updates:T out output:T |
16+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Selu | in X:T out Y:T |
6+ | T = tensor(float), tensor(float16) |
SequenceAt | in input_sequence:S in position:I out tensor:T |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceConstruct | in inputs:T out output_sequence:S |
11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) T = tensor(bfloat16), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
SequenceEmpty | out output:S | 11+ | S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceErase | in input_sequence:S in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceInsert | in input_sequence:S in tensor:T in position:I out output_sequence:S |
11+ | I = tensor(int32), tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
SequenceLength | in input_sequence:S out length:I |
11+ | I = tensor(int64) S = seq(tensor(bfloat16)), seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)) |
Shape | in data:T out shape:T1 |
21+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
19+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
15+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
13+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
1+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Shrink | in input:T out output:T |
9+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint8) |
Sigmoid | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
Sign | in input:T out output:T |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
9+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
SimplifiedLayerNormalization | in X:T in scale:V out Y:V out inv_std_var:U |
1+ | T = tensor(float), tensor(float16) U = tensor(float), tensor(float16) V = tensor(float), tensor(float16) |
Sin | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Sinh | in input:T out output:T |
9+ | T = tensor(float), tensor(float16) |
Size | in data:T out size:T1 |
21+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
19+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
13+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
1+ | T = seq(tensor(bool)), seq(tensor(double)), seq(tensor(float)), seq(tensor(float16)), seq(tensor(int16)), seq(tensor(int32)), seq(tensor(int64)), seq(tensor(int8)), seq(tensor(uint16)), seq(tensor(uint32)), seq(tensor(uint64)), seq(tensor(uint8)), tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int4), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint4), tensor(uint64), tensor(uint8) T1 = tensor(int64) |
||
Slice | in data:T in starts:Tind in ends:Tind in axes:Tind in steps:Tind out output:T or in data:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
10+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) Tind = tensor(int32), tensor(int64) |
||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Softmax | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
11+ | T = tensor(float), tensor(float16) | ||
1+ | T = tensor(float), tensor(float16) | ||
Softplus | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
Softsign | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
SpaceToDepth | in input:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Split | in input:T in split:T out outputs...:T or in input:T in split:tensor(int64) out outputs:T or in input:T out outputs:T |
18+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
2+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sqrt | in X:T out Y:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
Squeeze | in data:T in axes:tensor(int64) out squeezed:T or in data:T out squeezed:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sub | in A:T in B:T out C:T |
14+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
7+ | T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Sum | in data_0:T out sum:T |
13+ | T = tensor(float), tensor(float16) |
8+ | T = tensor(float), tensor(float16) | ||
6+ | T = tensor(float), tensor(float16) | ||
Tan | in input:T out output:T |
7+ | T = tensor(float), tensor(float16) |
Tanh | in input:T out output:T |
13+ | T = tensor(float), tensor(float16) |
6+ | T = tensor(float), tensor(float16) | ||
ThresholdedRelu | in X:T out Y:T |
10+ | T = tensor(float), tensor(float16) |
1+ | T = tensor(float), tensor(float16) | ||
Tile | in input:T in repeats:T1 out output:T or in input:T in tiles:T in axis:T out output:T |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
6+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
TopK | in X:T in K:tensor(int64) out Values:T out Indices:I or in X:T out Values:T out Indices:I |
11+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
10+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
1+ | I = tensor(int64) T = tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Transpose | in data:T out transposed:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Trilu | in input:T in k:tensor(int64) out output:T |
14+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
Unsqueeze | in data:T in axes:tensor(int64) out expanded:T or in data:T out expanded:T |
21+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
13+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
11+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
1+ | T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) | ||
Upsample | in X:T in scales:tensor(float) out Y:T or in X:T out Y:T |
10+ | T = tensor(float), tensor(float16) |
9+ | T = tensor(float), tensor(float16) | ||
7+ | T = tensor(float), tensor(float16) | ||
Where | in condition:B in X:T in Y:T out output:T |
16+ | B = tensor(bool) T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
9+ | B = tensor(bool) T = tensor(bool), tensor(double), tensor(float), tensor(float16), tensor(int16), tensor(int32), tensor(int64), tensor(int8), tensor(uint16), tensor(uint32), tensor(uint64), tensor(uint8) |
||
Xor | in A:T in B:T out C:T1 |
7+ | T = tensor(bool) |
Operator Domain: com.microsoft | |||
Attention | in input:T in weights:T in bias:T in mask_index:M in past:T in attention_bias:T in past_sequence_length:M out output:T out present:T |
1+ | M = tensor(int32) T = tensor(float), tensor(float16) |
BiasAdd | in X:T in bias:T in skip:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
BiasGelu | in A:T in B:T out C:T |
1+ | T = tensor(float), tensor(float16) |
BiasSplitGelu | in X:T in bias:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
ConvTransposeWithDynamicPads | in X:T in W:T in Pads:tensor(int64) in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
DequantizeLinear | in x:T1 in x_scale:T2 in x_zero_point:T1 out y:T2 |
1+ | T1 = tensor(int32), tensor(int8), tensor(uint8) T2 = tensor(float), tensor(float16) |
DynamicQuantizeMatMul | in A:T1 in B:T2 in b_scale:T1 in b_zero_point:T2 in bias:T1 out Y:T1 |
1+ | T1 = tensor(float) T2 = tensor(int8), tensor(uint8) |
EmbedLayerNormalization | in input_ids:T1 in segment_ids:T1 in word_embedding:T in position_embedding:T in segment_embedding:T in gamma:T in beta:T in mask:T1 in position_ids:T1 out output:T out mask_index:T1 out embedding_sum:T |
1+ | T = tensor(float), tensor(float16) |
FastGelu | in X:T in bias:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
FusedMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
FusedMatMulActivation | in A:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
Gelu | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
GroupNorm | in X:T in gamma:M in beta:M out Y:T |
1+ | M = tensor(float), tensor(float16) T = tensor(float), tensor(float16) |
GroupQueryAttention | in query:T in key:T in value:T in past_key:T in past_value:T in seqlens_k:M in total_sequence_length:M in cos_cache:T in sin_cache:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(float), tensor(float16) |
MatMulIntegerToFloat | in A:T1 in B:T2 in a_scale:T3 in b_scale:T3 in a_zero_point:T1 in b_zero_point:T2 in bias:T3 out Y:T3 |
1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float), tensor(float16) |
MatMulNBits | in A:T1 in B:T2 in scales:T1 in zero_points:T3 in g_idx:T4 in bias:T1 out Y:T1 |
1+ | T1 = tensor(float), tensor(float16) T2 = tensor(uint8) |
MultiHeadAttention | in query:T in key:T in value:T in bias:T in key_padding_mask:M in attention_bias:T in past_key:T in past_value:T out output:T out present_key:T out present_value:T |
1+ | M = tensor(int32) T = tensor(float), tensor(float16) |
NhwcConv | in X:T in W:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
QAttention | in input:T1 in weight:T2 in bias:T3 in input_scale:T3 in weight_scale:T3 in mask_index:T4 in input_zero_point:T1 in weight_zero_point:T2 in past:T3 out output:T3 out present:T3 |
1+ | T1 = tensor(int8), tensor(uint8) T2 = tensor(int8), tensor(uint8) T3 = tensor(float), tensor(float16) T4 = tensor(int32) |
QLinearAdd | in A:T in A_scale:tensor(float) in A_zero_point:T in B:T in B_scale:tensor(float) in B_zero_point:T in C_scale:tensor(float) in C_zero_point:T out C:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearAveragePool | in X:T in x_scale:tensor(float) in x_zero_point:T in y_scale:tensor(float) in y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearConcat | in Y_scale:TF in Y_zero_point:T8 in inputs:TV out Y:T8 |
1+ | T8 = tensor(int8), tensor(uint8) TF = tensor(float) TV = tensor(float), tensor(int8), tensor(uint8) |
QLinearGlobalAveragePool | in X:T in x_scale:tensor(float) in x_zero_point:T in y_scale:tensor(float) in y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QLinearSigmoid | in X:T in X_scale:tensor(float) in X_zero_point:T in Y_scale:tensor(float) in Y_zero_point:T out Y:T |
1+ | T = tensor(int8), tensor(uint8) |
QuantizeLinear | in x:T1 in y_scale:T1 in y_zero_point:T2 out y:T2 |
1+ | T1 = tensor(float), tensor(float16), tensor(int32) T2 = tensor(int8), tensor(uint8) |
QuickGelu | in X:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
RotaryEmbedding | in input:T in position_ids:M in cos_cache:T in sin_cache:T out output:T |
1+ | M = tensor(int64) T = tensor(float), tensor(float16) |
SkipLayerNormalization | in input:T in skip:T in gamma:T in beta:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(float), tensor(float16) |
SkipSimplifiedLayerNormalization | in input:T in skip:T in gamma:T in bias:T out output:T out mean:U out inv_std_var:U out input_skip_bias_sum:T |
1+ | T = tensor(float), tensor(float16) |
Operator Domain: com.microsoft.dml | |||
DmlFusedAdd | in A:T in B:T out C:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedBatchNormalization | in X:T in scale:T in B:T in mean:T in var:T out Y:T out mean:T out var:T out saved_mean:T out saved_var:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedConv | in X:T in W:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedConvTranspose | in X:T in W:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedGemm | in A:T in B:T in C:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedInstanceNormalization | in input:T in scale:T in B:T out output:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedMatMul | in A:T in B:T out Y:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedMeanVarianceNormalization | in input:T out output:T |
1+ | T = tensor(float), tensor(float16) |
DmlFusedSum | in data_0:T out sum:T |
1+ | T = tensor(float), tensor(float16) |