From f4e1be286a96910b2dc64b6c0528afcfd4b03a41 Mon Sep 17 00:00:00 2001 From: Wenbing Li <10278425+wenbingl@users.noreply.github.com> Date: Wed, 9 Jun 2021 15:50:12 -0700 Subject: [PATCH] add sentencepiece pre-trained model test (#110) --- onnxruntime_extensions/_cuops.py | 27 +++++++++++++++++++++++---- onnxruntime_extensions/eager_op.py | 13 +++++++++++++ test/data/en.wiki.bpe.vs100000.model | Bin 0 -> 1987533 bytes test/test_sentencepiece_ops.py | 20 +++++++++++++++++++- 4 files changed, 55 insertions(+), 5 deletions(-) create mode 100644 test/data/en.wiki.bpe.vs100000.model diff --git a/onnxruntime_extensions/_cuops.py b/onnxruntime_extensions/_cuops.py index 3e7010ed..cadd0157 100644 --- a/onnxruntime_extensions/_cuops.py +++ b/onnxruntime_extensions/_cuops.py @@ -5,7 +5,7 @@ import onnx from onnx import onnx_pb as onnx_proto -from ._ocos import default_opset_domain, get_library_path # noqa +from ._ocos import default_opset_domain class CustomOp: @@ -88,9 +88,25 @@ class StringToVector(CustomOp): return attr_data -# TODO: list all custom operators schema here: -# ... -# ... +class SentencepieceTokenizer(CustomOp): + @classmethod + def get_inputs(cls): + return [ + cls.io_def('inputs', onnx_proto.TensorProto.STRING, [None]), + cls.io_def('nbest_size', onnx_proto.TensorProto.INT64, [None]), + cls.io_def('alpha', onnx_proto.TensorProto.FLOAT, [None]), + cls.io_def('add_bos', onnx_proto.TensorProto.BOOL, [None]), + cls.io_def('add_eos', onnx_proto.TensorProto.BOOL, [None]), + cls.io_def('reverse', onnx_proto.TensorProto.BOOL, [None]) + ] + + @classmethod + def get_outputs(cls): + return [ + cls.io_def('tokens', onnx_proto.TensorProto.INT32, [None]), + cls.io_def('indices', onnx_proto.TensorProto.INT64, [None]) + + ] class SingleOpGraph: @@ -103,6 +119,9 @@ class SingleOpGraph: @classmethod def build_my_graph(cls, op_class, *args, **kwargs): + if isinstance(op_class, str): + op_class = cls.get_op_class(op_class) + op_type = op_class.op_type() inputs = op_class.get_inputs() outputs = op_class.get_outputs() diff --git a/onnxruntime_extensions/eager_op.py b/onnxruntime_extensions/eager_op.py index d8d4f23a..51dad34b 100644 --- a/onnxruntime_extensions/eager_op.py +++ b/onnxruntime_extensions/eager_op.py @@ -34,6 +34,7 @@ class EagerOp: def __init__(self): self._onnx_model = None self.ort_session = None + self.default_inputs = {} def create_from_customop(self, op_type, *args, **kwargs): graph = SingleOpGraph.build_my_graph(op_type, *args, **kwargs) @@ -43,6 +44,14 @@ class EagerOp: self._bind(model) return self + def add_default_input(self, **kwargs): + inputs = { + ky_: val_ if isinstance(val_, (np.ndarray, np.generic)) else \ + np.asarray(list(val_), dtype=np.uint8) for ky_, val_ in kwargs.items() + } + + self.default_inputs.update(inputs) + @property def onnx_model(self): assert self._oxml is not None, "No onnx model attached yet." @@ -81,6 +90,10 @@ class EagerOp: idx = 0 feed = {} for i_ in self.inputs: + if i_.name in self.default_inputs: + feed[i_.name] = self.default_inputs[i_.name] + continue + x = args[idx] ts_x = np.array(x) if isinstance(x, (int, float, bool)) else x # an annoying bug is numpy by default is int32, while pytorch is int64. diff --git a/test/data/en.wiki.bpe.vs100000.model b/test/data/en.wiki.bpe.vs100000.model new file mode 100644 index 0000000000000000000000000000000000000000..fe9d22ec8588f556d836fccdd7c2af49b91b52ce GIT binary patch literal 1987533 zcmY(sd0=c?R@Z-+;WCAxp_!y;x_RBr>qjvoG;kP2K?(C9LsgPWQuigP>Qr*?d+l^U zL`1|Wh=_v1}1>juWCH{yyLDckg}sSAXsAI(t}a?X{=1 zhkEc<58mvR*B8%z%nRT6!CO3dlUHs&=7n$a;4L4#=_^0Lp|^hUrmz2oFS~j{*LA~# zfH`3Jp$BjE;EhigqK^tLF9`PIgSUO~=8EqxgTE{;`LcCzrAXsg^4S1(rcb8?yB}6Q zm&$VQhf9^ z7~9q;YruDeuH0{b_`%yecr!$_z~5idN;!>=HdjtR=HNm(-GzEa@MmkL=YU;JYXN?_ zeiGmJKV0-UzYzS@%$|CR;ENqxT@!q1N>+rYYiucYYWhO-4{`pB3+d@2YW}X! zSJo6_wtvlow|npwsBp>;{E5zCqg0>b;F)aT(;Qq$Q~M6i75wa)k)nKlE#pekeNhsK zk(q^2DXr?SdQGX#V;k95SNM3YxL@OBXU`M-+T<&qZk)sXYUv#QXg){*U!S1Z_=Z}F 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