wehub-resource-sync
67 lines
2.5 KiB
C++
67 lines
2.5 KiB
C++
/* Copyright (c) 2022 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/phi/kernels/reduce_mean_grad_kernel.h"
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#include "paddle/phi/core/kernel_registry.h"
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#include "paddle/phi/kernels/onednn/reduce_kernel_impl.h"
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#include "paddle/phi/kernels/reduce_kernel_impl.h"
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namespace phi {
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template <typename T, typename Context>
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void MeanGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const IntArray& dims,
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bool keep_dim,
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bool reduce_all,
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DenseTensor* x_grad) {
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if (x_grad && x_grad->numel() == 0) {
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dev_ctx.template Alloc<T>(x_grad);
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return;
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}
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reduce_all = recompute_reduce_all(x, dims, reduce_all);
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auto input_dims = vectorize(x.dims());
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std::vector<int64_t> reduce_dims = dims.GetData();
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int number_of_elements = 1;
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if (reduce_all == false) {
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for (size_t i = 0; i < dims.size(); ++i) {
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reduce_dims[i] = (reduce_dims[i] >= 0)
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? reduce_dims[i]
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: input_dims.size() + reduce_dims[i]; // NOLINT
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number_of_elements *= input_dims[reduce_dims[i]]; // NOLINT
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}
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} else {
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number_of_elements = static_cast<int>(x.numel());
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}
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const IntArray new_dims = IntArray(reduce_dims);
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ReduceGradKernel<T, Context>(dev_ctx,
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x,
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out_grad,
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new_dims,
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keep_dim,
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reduce_all,
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x_grad,
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dnnl::algorithm::binary_add,
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dnnl::algorithm::reduction_mean,
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0.0f,
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1.0L / number_of_elements);
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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mean_grad, OneDNN, ONEDNN, phi::MeanGradKernel, float, phi::bfloat16) {
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kernel->check_if_onednn_kernel_support_ = phi::ReduceGradCheckIfOneDNNSupport;
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}
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