wehub-resource-sync
71 lines
2.6 KiB
C++
71 lines
2.6 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/log_softmax_kernel.h"
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#include "paddle/phi/backends/onednn/onednn_context.h"
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#include "paddle/phi/backends/onednn/onednn_reuse.h"
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#include "paddle/phi/common/place.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>
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class LogSoftmaxOneDNNHandler
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: public funcs::OneDNNHandlerNoCachingT<T, dnnl::softmax_forward> {
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public:
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LogSoftmaxOneDNNHandler(const dnnl::engine onednn_engine,
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Place cpu_place,
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const DenseTensor& x,
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const int axis)
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: funcs::OneDNNHandlerNoCachingT<T, dnnl::softmax_forward>(onednn_engine,
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cpu_place) {
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const int rank = x.dims().size() != 0 ? x.dims().size() : 1;
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const int canonical_axis = funcs::CanonicalAxis(axis, rank);
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this->AcquireForwardPrimitiveDescriptor(dnnl::prop_kind::forward_inference,
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dnnl::algorithm::softmax_log,
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x.mem_desc(),
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x.mem_desc(),
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canonical_axis);
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}
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};
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template <typename T, typename Context>
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void LogSoftmaxKernel(const Context& dev_ctx,
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const DenseTensor& x,
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int axis,
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DenseTensor* out) {
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const auto& onednn_engine = dev_ctx.GetEngine();
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LogSoftmaxOneDNNHandler<T> handler(
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onednn_engine, dev_ctx.GetPlace(), x, axis);
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auto src_memory_p = handler.AcquireSrcMemory(&x);
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auto dst_memory_p = handler.AcquireDstMemory(out);
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auto logsoftmax_p = handler.AcquireForwardPrimitive();
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auto& astream = OneDNNContext::tls().get_stream();
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logsoftmax_p->execute(
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astream, {{DNNL_ARG_SRC, *src_memory_p}, {DNNL_ARG_DST, *dst_memory_p}});
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astream.wait();
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out->set_mem_desc(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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log_softmax, OneDNN, ONEDNN, phi::LogSoftmaxKernel, float, phi::bfloat16) {}
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