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paddlepaddle--paddle/paddle/phi/kernels/onednn/reshape_grad_kernel.cc
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2026-07-13 12:40:42 +08:00

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/* Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License. */
#include "paddle/phi/backends/onednn/onednn_reuse.h"
#include "paddle/phi/core/kernel_registry.h"
#include "paddle/phi/kernels/full_kernel.h"
namespace phi {
template <typename T, typename Context>
void ReshapeGradKernel(const Context& dev_ctx,
const DenseTensor& x,
const DenseTensor& out_grad,
DenseTensor* x_grad) {
if ((x_grad && x_grad->numel() == 0) || out_grad.numel() == 0) {
Full<T, Context>(dev_ctx, x_grad->dims(), 0, x_grad);
return;
}
auto out_grad_vec_dims = out_grad.dims().size() != 0
? vectorize(out_grad.dims())
: std::vector<int64_t>{1};
auto out_grad_type = funcs::ToOneDNNDataType(out_grad.dtype());
funcs::ReorderOneDNNHandler reorder_handler(
out_grad_vec_dims, out_grad.dtype(), out_grad_type, dev_ctx.GetEngine());
auto reorder_src_memory_p = reorder_handler.AcquireSrcMemory(
out_grad.mem_desc(), funcs::to_void_cast(out_grad.data<T>()));
auto reorder_dst_memory_p = reorder_handler.AcquireDstMemory(
x_grad,
funcs::GetPlainOneDNNFormat(out_grad_vec_dims.size()),
dev_ctx.GetPlace());
auto reorder_p = reorder_handler.AcquireReorder(reorder_dst_memory_p,
reorder_src_memory_p);
auto& astream = OneDNNContext::tls().get_stream();
reorder_p->execute(astream, *reorder_src_memory_p, *reorder_dst_memory_p);
astream.wait();
auto grad_shape = x.dims().size() == 0 ? std::vector<int64_t>{1}
: vectorize<int64_t>(x.dims());
reorder_dst_memory_p->get_desc().reshape(grad_shape);
}
} // namespace phi
PD_REGISTER_KERNEL(reshape_grad,
OneDNN,
ONEDNN,
phi::ReshapeGradKernel,
float,
phi::bfloat16) {}