/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #include "paddle/fluid/operators/math/jit_kernel.h" #include #include "paddle/fluid/operators/math/jit_kernel_macro.h" #include "paddle/fluid/operators/math/jit_kernel_refer.h" #ifdef PADDLE_WITH_XBYAK #include "paddle/fluid/operators/math/jit_code.h" #endif #ifdef PADDLE_WITH_MKLML #include "paddle/fluid/platform/dynload/mklml.h" #endif namespace paddle { namespace operators { namespace math { namespace jitkernel { /* VExp JitKernel */ template class VExpKernelImpl : public VExpKernel { public: JITKERNEL_DECLARE_STATIC_FUNC; explicit VExpKernelImpl(int d) : VExpKernel() { #ifdef PADDLE_WITH_XBYAK if (useJIT(d)) { size_t sz = 96 + d / YMM_FLOAT_BLOCK * 70 * 8; jitcode_.reset(new gen::VActJitCode(d, gen::operand_type::exp, sz > 4096 ? sz : 4096)); this->Compute = jitcode_->getCode(); return; } #endif #ifdef PADDLE_WITH_MKLML if (useMKL(d)) { this->Compute = VExpMKL; return; } #endif this->Compute = refer::VExp; } #ifdef PADDLE_WITH_XBYAK private: std::unique_ptr jitcode_{nullptr}; #endif }; #ifdef PADDLE_WITH_XBYAK template <> bool VExpKernelImpl::useJIT(int d) { return gen::VActJitCode::init(d, gen::operand_type::exp); } #endif #ifdef PADDLE_WITH_MKLML template <> bool VExpKernelImpl::useMKL(int d) { return d > 512; } template <> bool VExpKernelImpl::useMKL(int d) { return true; } #endif /* VSigmoid JitKernel */ template class VSigmoidKernelImpl : public VSigmoidKernel { public: JITKERNEL_DECLARE_STATIC_FUNC; explicit VSigmoidKernelImpl(int d) : VSigmoidKernel() { #ifdef PADDLE_WITH_XBYAK if (useJIT(d)) { size_t sz = 96 + d / YMM_FLOAT_BLOCK * 82 * 8; jitcode_.reset(new gen::VActJitCode(d, gen::operand_type::sigmoid, sz > 4096 ? sz : 4096)); this->Compute = jitcode_->getCode(); return; } #endif #ifdef PADDLE_WITH_MKLML // strictly it's a better impl with MKL, then is refer if (useMKL(d)) { this->Compute = VSigmoidMKL; return; } #endif this->Compute = refer::VSigmoid; } #ifdef PADDLE_WITH_XBYAK private: std::unique_ptr jitcode_{nullptr}; #endif }; #ifdef PADDLE_WITH_XBYAK template <> bool VSigmoidKernelImpl::useJIT(int d) { return gen::VActJitCode::init(d, gen::operand_type::sigmoid); } #endif #ifdef PADDLE_WITH_MKLML template <> bool VSigmoidKernelImpl::useMKL(int d) { return d > 512; } template <> bool VSigmoidKernelImpl::useMKL(int d) { return true; } #endif /* VTanh JitKernel */ template class VTanhKernelImpl : public VTanhKernel { public: JITKERNEL_DECLARE_STATIC_FUNC; explicit VTanhKernelImpl(int d) : VTanhKernel() { #ifdef PADDLE_WITH_XBYAK if (useJIT(d)) { size_t sz = 96 + d / YMM_FLOAT_BLOCK * 84 * 8; jitcode_.reset(new gen::VActJitCode(d, gen::operand_type::tanh, sz > 4096 ? sz : 4096)); this->Compute = jitcode_->getCode(); return; } #endif #ifdef PADDLE_WITH_MKLML // strictly it's a better impl with MKL, then is refer if (useMKL(d)) { this->Compute = VTanhMKL; return; } #endif this->Compute = refer::VTanh; } #ifdef PADDLE_WITH_XBYAK private: std::unique_ptr jitcode_{nullptr}; #endif }; #ifdef PADDLE_WITH_XBYAK template <> bool VTanhKernelImpl::useJIT(int d) { return gen::VActJitCode::init(d, gen::operand_type::tanh); } #endif #ifdef PADDLE_WITH_MKLML template <> bool VTanhKernelImpl::useMKL(int d) { return d > 512; } template <> bool VTanhKernelImpl::useMKL(int d) { return true; } #endif REGISTER_JITKERNEL(vexp, VExpKernel); REGISTER_JITKERNEL(vsigmoid, VSigmoidKernel); REGISTER_JITKERNEL(vtanh, VTanhKernel); } // namespace jitkernel } // namespace math } // namespace operators } // namespace paddle