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72 lines
2.2 KiB
72 lines
2.2 KiB
/* Copyright (c) 2019 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/elementwise/elementwise_floordiv_op.h"
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#include <string>
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#include "paddle/fluid/operators/elementwise/elementwise_op.h"
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namespace paddle {
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namespace framework {
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class OpDesc;
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template <typename T>
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class EmptyGradOpMaker;
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} // namespace framework
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namespace imperative {
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class OpBase;
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} // namespace imperative
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namespace platform {
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class CPUDeviceContext;
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struct CPUPlace;
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} // namespace platform
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} // namespace paddle
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namespace paddle {
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namespace operators {
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class ElementwiseFloorDivOpMaker : public ElementwiseOpMaker {
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protected:
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std::string GetName() const override { return "FloorDiv"; }
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std::string GetEquation() const override { return "Out = X // Y"; }
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void AddInputX() override {
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AddInput("X",
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"(Variable), Tensor or LoDTensor of any dimensions. Its dtype "
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"should be int32, int64.");
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}
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void AddInputY() override {
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AddInput("Y",
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"(Variable), Tensor or LoDTensor of any dimensions. Its dtype "
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"should be int32, int64.");
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}
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std::string GetOpFuntionality() const override {
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return "Floor divide two tensors element-wise";
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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_OP_WITHOUT_GRADIENT(elementwise_floordiv, ops::ElementwiseOp,
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ops::ElementwiseFloorDivOpMaker);
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REGISTER_OP_CPU_KERNEL(
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elementwise_floordiv,
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ops::ElementwiseFloorDivKernel<paddle::platform::CPUDeviceContext, int>,
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ops::ElementwiseFloorDivKernel<paddle::platform::CPUDeviceContext,
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int64_t>);
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