wehub-resource-sync
84 lines
2.9 KiB
C++
84 lines
2.9 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/phi/kernels/scatter_grad_kernel.h"
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#include "paddle/phi/backends/cpu/cpu_context.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/core/tensor_utils.h"
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#include "paddle/phi/kernels/full_kernel.h"
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#include "paddle/phi/kernels/funcs/gather.h"
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#include "paddle/phi/kernels/funcs/scatter.h"
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namespace phi {
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template <typename T, typename Context>
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void ScatterGradKernel(const Context &dev_ctx,
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const DenseTensor &index,
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const DenseTensor &updates UNUSED,
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const DenseTensor &out_grad,
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bool overwrite UNUSED,
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DenseTensor *x_grad,
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DenseTensor *updates_grad) {
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if (out_grad.numel() == 0) {
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if (x_grad) {
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dev_ctx.template Alloc<T>(x_grad);
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}
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if (updates_grad) {
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Full<T, Context>(dev_ctx, updates_grad->dims(), 0, updates_grad);
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}
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return;
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}
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const auto &index_type = index.dtype();
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bool index_type_match =
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index_type == DataType::INT32 || index_type == DataType::INT64;
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PADDLE_ENFORCE_EQ(index_type_match,
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true,
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common::errors::InvalidArgument(
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"scatter_op index holds the wrong type, it holds [%s],"
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"but desires to be [%s] or [%s]",
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index_type,
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DataType::INT32,
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DataType::INT64));
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if (x_grad) {
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Copy(dev_ctx, out_grad, dev_ctx.GetPlace(), false, x_grad);
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if (index_type == DataType::INT32) {
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funcs::CPUScatterGradForX<T, int32_t>(dev_ctx, index, x_grad);
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} else {
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funcs::CPUScatterGradForX<T, int64_t>(dev_ctx, index, x_grad);
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}
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}
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if (updates_grad) {
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dev_ctx.template Alloc<T>(updates_grad);
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// Gradient by Gather: dUpdates = dO[Ids]
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if (index_type == DataType::INT32) {
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funcs::CPUGather<T, int32_t>(dev_ctx, out_grad, index, updates_grad);
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} else {
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funcs::CPUGather<T, int64_t>(dev_ctx, out_grad, index, updates_grad);
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}
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}
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}
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} // namespace phi
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PD_REGISTER_KERNEL(scatter_grad,
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CPU,
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ALL_LAYOUT,
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phi::ScatterGradKernel,
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float,
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double,
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int,
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int64_t) {}
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