wehub-resource-sync
44 lines
1.5 KiB
C++
44 lines
1.5 KiB
C++
// Copyright (c) 2022 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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#include "paddle/extension.h"
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namespace {
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std::vector<std::vector<int64_t>> InferShape(std::vector<int64_t> x_shape) {
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return {x_shape};
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}
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std::vector<paddle::DataType> InferDtype(paddle::DataType x_dtype) {
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return {x_dtype};
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}
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std::vector<paddle::Tensor> OpForward(const paddle::Tensor &x) { return {x}; }
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std::vector<paddle::Tensor> OpBackward(const paddle::Tensor &x) { return {x}; }
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} // namespace
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// https://github.com/graphcore/popart/blob/sdk-release-2.5/willow/src/builder_impl.cpp#L1458
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// only support one input
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PD_BUILD_OP(checkpointoutput)
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.Inputs({"X"})
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.Outputs({"Out"})
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.SetInferShapeFn(PD_INFER_SHAPE(InferShape))
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.SetInferDtypeFn(PD_INFER_DTYPE(InferDtype))
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.SetKernelFn(PD_KERNEL(OpForward));
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PD_BUILD_GRAD_OP(checkpointoutput)
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.Inputs({paddle::Grad("Out")})
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.Outputs({paddle::Grad("X")})
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.SetKernelFn(PD_KERNEL(OpBackward));
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