wehub-resource-sync
59 lines
1.9 KiB
C++
59 lines
1.9 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/activation_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 SoftplusKernel(const Context& dev_ctx,
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const DenseTensor& x,
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double beta,
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double threshold UNUSED,
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DenseTensor* out) {
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float beta_f = static_cast<float>(beta);
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funcs::SoftplusOneDNNHandler<T> handler(dev_ctx, &x, beta_f);
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auto src_memory_p = handler.AcquireSrcMemory(&x);
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auto beta_memory_p = handler.AcquireBetaMemory(&beta_f);
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std::shared_ptr<dnnl::memory> dst_memory_p = nullptr;
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if (x.IsSharedBufferWith(*out)) {
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dst_memory_p = src_memory_p;
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dev_ctx.template Alloc<T>(out);
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} else {
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dst_memory_p = handler.AcquireDstMemory(out);
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}
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auto softplus_p = handler.AcquireForwardPrimitive();
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auto& astream = OneDNNContext::tls().get_stream();
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const std::unordered_map<int, dnnl::memory> args = {
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{DNNL_ARG_SRC_0, *src_memory_p},
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{DNNL_ARG_SRC_1, *beta_memory_p},
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{DNNL_ARG_DST, *dst_memory_p}};
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softplus_p->execute(astream, args);
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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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softplus, OneDNN, ONEDNN, phi::SoftplusKernel, float, phi::bfloat16) {}
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