131 строка
4.6 KiB
Python
131 строка
4.6 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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import numpy as np
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import tvm
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import topi
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import topi.testing
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from topi import util
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from common import get_all_backend
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def test_util():
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x = tvm.const(100, "int32")
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assert util.get_const_int(x) == 100
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assert util.get_const_tuple((x, x)) == (100, 100)
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def test_ewise():
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def test_apply(
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func,
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name,
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f_numpy,
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low,
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high,
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shape=(20, 3),
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dtype=tvm.float32,
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check_round=False,
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skip_name_check=False,
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):
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m = tvm.var("m")
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l = tvm.var("l")
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A = tvm.placeholder((m, l), dtype=dtype, name="A")
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B = func(A)
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assert tuple(B.shape) == tuple(A.shape)
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if not skip_name_check:
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assert B.op.body[0].name == name
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a_np = np.random.uniform(low=low, high=high, size=shape).astype(A.dtype) * 10
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# avoid round check too close to boundary
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if check_round:
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a_np += ((np.fmod(a_np, 1) - 0.5) < 1e-6) * 1e-5
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b_np = f_numpy(a_np)
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def check_device(device):
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ctx = tvm.context(device, 0)
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if not ctx.exist:
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print("Skip because %s is not enabled" % device)
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return
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print("Running on target: %s" % device)
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with tvm.target.create(device):
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s = topi.generic.schedule_injective(B)
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foo = tvm.build(s, [A, B], device, name=name)
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a = tvm.nd.array(a_np, ctx)
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b = tvm.nd.array(np.zeros_like(b_np), ctx)
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foo(a, b)
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tvm.testing.assert_allclose(b.asnumpy(), b_np, rtol=1e-5, atol=1e-5)
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for device in get_all_backend():
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check_device(device)
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test_apply(topi.floor, "floor", np.floor, -100, 100)
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test_apply(topi.ceil, "ceil", np.ceil, -100, 100)
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test_apply(topi.sign, "sign", np.sign, -100, 100, skip_name_check=True)
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test_apply(topi.trunc, "trunc", np.trunc, -100, 100)
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test_apply(topi.abs, "fabs", np.abs, -100, 100)
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test_apply(topi.round, "round", np.round, -100, 100, check_round=True)
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test_apply(topi.exp, "exp", np.exp, -1, 1)
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test_apply(topi.tanh, "tanh", np.tanh, -10, 10, shape=(128, 128))
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test_apply(topi.tanh, "tanh", np.tanh, -10, 10, shape=(128, 128), dtype="float64")
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test_apply(topi.sigmoid, "sigmoid", lambda x: 1 / (1 + np.exp(-x)), -1, 1)
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test_apply(topi.log, "log", np.log, 0, 100)
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test_apply(topi.sqrt, "sqrt", np.sqrt, 0, 100)
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test_apply(topi.rsqrt, "rsqrt", lambda x: np.ones_like(x) / np.sqrt(x), 0, 100, skip_name_check=True)
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def test_cast():
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def verify(from_dtype, to_dtype, low=-100, high=100):
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shape = (5, 4)
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A = tvm.placeholder(shape, dtype=from_dtype, name="A")
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B = topi.cast(A, to_dtype)
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if from_dtype == "bool":
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a_np = np.random.choice([True, False], size=shape)
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else:
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a_np = np.random.uniform(low, high, size=shape).astype(from_dtype)
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if to_dtype == "bool":
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a_np = a_np - a_np[2, 3]
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b_np = a_np.astype(to_dtype)
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for device in get_all_backend():
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ctx = tvm.context(device, 0)
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if not ctx.exist:
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print("Skip because %s is not enabled" % device)
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continue
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print("Running on target: %s" % device)
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with tvm.target.create(device):
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s = topi.generic.schedule_injective(B)
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foo = tvm.build(s, [A, B], device)
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a = tvm.nd.array(a_np, ctx)
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b = tvm.nd.empty(shape=shape, dtype=to_dtype, ctx=ctx)
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foo(a, b)
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tvm.testing.assert_allclose(b.asnumpy(), b_np)
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verify("int32", "float32")
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verify("int32", "float64")
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verify("int32", "bool")
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verify("float32", "int32")
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verify("float32", "float64")
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verify("float32", "bool")
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verify("bool", "float32")
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verify("bool", "int32")
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if __name__ == "__main__":
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test_util()
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test_ewise()
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test_cast()
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