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75 lines
2.7 KiB
75 lines
2.7 KiB
/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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Licensed under the Apache License, Version 2.0 (the "License");
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you may not use this file except in compliance with the License.
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You may obtain a copy of the License at
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http://www.apache.org/licenses/LICENSE-2.0
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Unless required by applicable law or agreed to in writing, software
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distributed under the License is distributed on an "AS IS" BASIS,
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WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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See the License for the specific language governing permissions and
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limitations under the License. */
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#include "paddle/fluid/operators/shape_op.h"
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#include <string>
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#include "paddle/fluid/framework/op_registry.h"
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namespace paddle {
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namespace operators {
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class ShapeOp : public framework::OperatorWithKernel {
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public:
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using framework::OperatorWithKernel::OperatorWithKernel;
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void InferShape(framework::InferShapeContext *ctx) const override {
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PADDLE_ENFORCE_EQ(ctx->HasInput("Input"), true,
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platform::errors::InvalidArgument(
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"Input (Input) of get_shape op should not be null."));
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PADDLE_ENFORCE_EQ(ctx->HasOutput("Out"), true,
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platform::errors::InvalidArgument(
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"Output (Out) of get_shape op should not be null."));
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auto in_dim = ctx->GetInputDim("Input");
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ctx->SetOutputDim("Out", {in_dim.size()});
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}
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protected:
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framework::OpKernelType GetKernelTypeForVar(
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const std::string &var_name, const framework::Tensor &tensor,
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const framework::OpKernelType &expected_kernel_type) const override {
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return framework::OpKernelType(expected_kernel_type.data_type_,
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expected_kernel_type.place_,
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tensor.layout());
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}
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};
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class ShapeOpMaker : public framework::OpProtoAndCheckerMaker {
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public:
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void Make() override {
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AddInput("Input", "(LoDTensor), The input tensor.");
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AddOutput(
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"Out",
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"(LoDTensor), The shape of input tensor, the data type of the shape"
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" is int32_t, will be on the same device with the input Tensor.");
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AddComment(R"DOC(
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Shape Operator.
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Return the shape of the input.
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)DOC");
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}
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};
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} // namespace operators
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} // namespace paddle
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namespace ops = paddle::operators;
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REGISTER_OPERATOR(
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shape, ops::ShapeOp, ops::ShapeOpMaker,
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paddle::framework::EmptyGradOpMaker<paddle::framework::OpDesc>,
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paddle::framework::EmptyGradOpMaker<paddle::imperative::OpBase>);
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REGISTER_OP_CPU_KERNEL(shape, ops::ShapeKernel<bool>, ops::ShapeKernel<int>,
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ops::ShapeKernel<int8_t>, ops::ShapeKernel<uint8_t>,
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ops::ShapeKernel<int64_t>, ops::ShapeKernel<float>,
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ops::ShapeKernel<double>);
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