Add shape op to get the shape of variable. (#11048)
* Add shape op to get the shape of variable. * Rename get_shape to shape. * Add checker for output and fix comments.wangkuiyi-patch-1
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/* 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 "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(ctx->HasInput("Input"),
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"Input (Input) of get_shape op should not be null.");
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PADDLE_ENFORCE(ctx->HasOutput("Out"),
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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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};
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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", "(Tensor), The input tensor.");
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AddOutput("Out", "(Tensor), The shape of input tensor.");
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AddComment(R"DOC(
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Shape Operator.
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Get the shape of input tensor.
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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(shape, ops::ShapeOp, ops::ShapeOpMaker,
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paddle::framework::EmptyGradOpMaker);
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REGISTER_OP_CPU_KERNEL(shape, ops::ShapeKernel<int>, ops::ShapeKernel<int64_t>,
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ops::ShapeKernel<float>, ops::ShapeKernel<double>);
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/* 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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REGISTER_OP_CUDA_KERNEL(shape, paddle::operators::ShapeKernel<int>,
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paddle::operators::ShapeKernel<int64_t>,
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paddle::operators::ShapeKernel<float>,
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paddle::operators::ShapeKernel<double>);
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/* Copyright (c) 2016 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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#pragma once
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#include <algorithm>
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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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using Tensor = framework::Tensor;
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template <typename T>
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class ShapeKernel : public framework::OpKernel<T> {
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public:
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void Compute(const framework::ExecutionContext& ctx) const override {
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auto* in_t = ctx.Input<Tensor>("Input");
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auto* out_t = ctx.Output<Tensor>("Out");
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auto out_data = out_t->mutable_data<int64_t>(platform::CPUPlace());
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auto in_dims = in_t->dims();
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for (int i = 0; i < in_dims.size(); ++i) {
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out_data[i] = in_dims[i];
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}
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}
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};
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} // namespace operators
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} // namespace paddle
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# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
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#
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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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#
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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, 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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import unittest
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import numpy as np
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from op_test import OpTest
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class TestShapeOp(OpTest):
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def setUp(self):
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self.op_type = "shape"
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self.config()
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self.shape = [2, 3]
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input = np.zeros(self.shape)
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self.inputs = {'Input': input}
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self.outputs = {'Out': np.array(self.shape)}
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def config(self):
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self.shape = [2, 3]
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def test_check_output(self):
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self.check_output()
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class case1(TestShapeOp):
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def config(self):
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self.shape = [2]
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class case2(TestShapeOp):
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def config(self):
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self.shape = [1, 2, 3]
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if __name__ == '__main__':
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unittest.main()
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