wehub-resource-sync
51 lines
2.0 KiB
C++
51 lines
2.0 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/clip_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 ClipGradKernel(const Context& dev_ctx,
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const DenseTensor& x,
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const DenseTensor& out_grad,
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const Scalar& min,
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const Scalar& max,
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DenseTensor* x_grad) {
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const auto& onednn_engine = dev_ctx.GetEngine();
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funcs::ClipOneDNNHandler<T> handler(
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min, max, onednn_engine, dev_ctx.GetPlace(), &x, &out_grad);
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auto src_memory_p = handler.AcquireBackwardSrcMemory(&x);
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auto diff_dst_memory_p = handler.AcquireDiffDstMemory(&out_grad);
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auto diff_src_memory_p = handler.AcquireDiffSrcMemory(x_grad);
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auto activation_backward_p = handler.AcquireBackwardPrimitive();
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auto& astream = OneDNNContext::tls().get_stream();
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activation_backward_p->execute(astream,
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{{DNNL_ARG_SRC, *src_memory_p},
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{DNNL_ARG_DIFF_DST, *diff_dst_memory_p},
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{DNNL_ARG_DIFF_SRC, *diff_src_memory_p}});
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astream.wait();
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x_grad->set_mem_desc(diff_dst_memory_p->get_desc());
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}
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} // namespace phi
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PD_REGISTER_KERNEL(
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clip_grad, OneDNN, ONEDNN, phi::ClipGradKernel, float, phi::bfloat16) {}
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