62 lines
2.3 KiB
C++
62 lines
2.3 KiB
C++
// Copyright (c) 2024 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/flatten_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 FlattenGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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DenseTensor* x_grad) {
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auto out_grad_vec_dims = out_grad.dims().size() != 0
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? vectorize(out_grad.dims())
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: std::vector<int64_t>{1};
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auto out_grad_type = funcs::ToOneDNNDataType(out_grad.dtype());
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funcs::ReorderOneDNNHandler reorder_handler(
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out_grad_vec_dims, out_grad.dtype(), out_grad_type, dev_ctx.GetEngine());
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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,
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funcs::GetPlainOneDNNFormat(out_grad_vec_dims.size()),
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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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const auto& x_grad_dims = x.dims();
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x_grad->Resize(x_grad_dims);
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reorder_dst_memory_p->get_desc().reshape(vectorize(x_grad_dims));
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}
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} // namespace phi
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PD_REGISTER_KERNEL(flatten_grad,
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OneDNN,
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ONEDNN,
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phi::FlattenGradKernel,
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float,
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phi::bfloat16) {}
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