wehub-resource-sync
61 lines
2.2 KiB
C++
61 lines
2.2 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/transpose_grad_kernel.h"
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#include "paddle/phi/backends/onednn/onednn_reuse.h"
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#include "paddle/phi/core/kernel_registry.h"
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namespace phi {
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template <typename T, typename Context>
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void TransposeGradKernel(const Context& dev_ctx,
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const DenseTensor& out_grad,
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const std::vector<int>& axis,
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DenseTensor* x_grad) {
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if (!x_grad) return;
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const auto& onednn_engine = dev_ctx.GetEngine();
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if (axis.size() == 1 || axis.empty()) {
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Copy<Context>(dev_ctx, out_grad, out_grad.place(), false, x_grad);
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x_grad->set_mem_desc(out_grad.mem_desc());
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return;
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}
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std::vector<int64_t> out_grad_tz = vectorize(out_grad.dims());
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funcs::ReorderOneDNNHandler reorder_handler(
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out_grad_tz,
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out_grad.dtype(),
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funcs::ToOneDNNDataType(out_grad.dtype()),
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onednn_engine);
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auto reorder_src_memory_p = reorder_handler.AcquireSrcMemory(
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out_grad.mem_desc(), funcs::to_void_cast(out_grad.data<T>()));
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auto reorder_dst_memory_p = reorder_handler.AcquireDstMemory(
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x_grad, out_grad.mem_desc(), dev_ctx.GetPlace());
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auto reorder_p = reorder_handler.AcquireReorder(reorder_dst_memory_p,
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reorder_src_memory_p);
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auto& astream = OneDNNContext::tls().get_stream();
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reorder_p->execute(astream, *reorder_src_memory_p, *reorder_dst_memory_p);
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astream.wait();
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x_grad->set_mem_desc(reorder_dst_memory_p->get_desc().permute_axes(axis));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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transpose_grad, OneDNN, ONEDNN, phi::TransposeGradKernel, float) {}
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