/* Copyright (c) 2016 PaddlePaddle Authors. All Rights Reserve. 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. */ #pragma once #include #include namespace paddle { namespace simd { namespace naive { template inline void addTo(Type* a, const Type* b, size_t len) { for (size_t i = 0; i < len; ++i) { a[i] += b[i]; } } template inline void batchAddTo(Type* a, const Type* b[], int batch, size_t len) { for (int i = 0; i < batch; ++i) { for (size_t j = 0; j < len; ++j) { a[j] += b[i][j]; } } } /** * @note this method is unused in paddle. */ template inline void colMax(Type* result, const Type* data, int dim, int numSamples) { for (int d = 0; d < dim; ++d) { Type sm = data[d]; for (int i = 1; i < numSamples; ++i) { sm = sm > data[i * dim + d] ? sm : data[i * dim + d]; } result[d] = sm; } } template inline void decayL1(Type* dst, Type* src, Type* lr, Type lambda, size_t len) { for (size_t i = 0; i < len; ++i) { Type& src_val = src[i]; float nlambda = lr[i] * lambda; if (src_val > 0) { dst[i] = ((src_val > nlambda) ? (src_val - nlambda) : 0); } else { dst[i] = ((-src_val > nlambda) ? (src_val + nlambda) : 0); } } } template inline void decayL1(Type* dst, Type* src, Type lambda, size_t len) { for (size_t i = 0; i < len; ++i) { Type& src_val = src[i]; if (src_val > 0) { dst[i] = ((src_val > lambda) ? (src_val - lambda) : 0); } else { dst[i] = ((-src_val > lambda) ? (src_val + lambda) : 0); } } } } // namespace naive template inline void addTo(Type* a, const Type* b, size_t len) { naive::addTo(a, b, len); } template inline void batchAddTo(Type* a, const Type* b[], int batch, size_t len) { naive::batchAddTo(a, b, batch, len); } template inline void colMax(Type* result, const Type* data, int dim, int numSamples) { naive::colMax(result, data, dim, numSamples); } template inline void decayL1(Type* dst, Type* src, Type* lr, Type lambda, size_t len) { naive::decayL1(dst, src, lr, lambda, len); } template inline void decayL1(Type* dst, Type* src, Type lambda, size_t len) { naive::decayL1(dst, src, lambda, len); } template inline bool isPointerAlign(void* ptr) { return reinterpret_cast(ptr) % AlignSize == 0; } inline bool vec_check(size_t len) { #ifdef __AVX__ return len % 8 == 0; #else return len % 4 == 0; #endif } namespace internal { void addToImpl(float* a, const float* b, size_t len); void batchAddToImpl(float* a, const float* b[], int batch, size_t len); void colMaxImpl(float* result, const float* data, int dim, int numSamples); #ifdef __AVX__ void decayL1AvxImpl(float* dst, float* src, float lambda, size_t len); void decayL1AvxImpl( float* dst, float* src, float* lr, float lambda, size_t len); #endif } // namespace internal template <> inline void addTo(float* a, const float* b, size_t len) { internal::addToImpl(a, b, len); } template <> inline void batchAddTo(float* a, const float* b[], int batch, size_t len) { internal::batchAddToImpl(a, b, batch, len); } template <> inline void colMax(float* result, const float* data, int dim, int numSamples) { internal::colMaxImpl(result, data, dim, numSamples); } template <> inline void decayL1(float* dst, float* src, float lambda, size_t len) { #ifdef __AVX__ internal::decayL1AvxImpl(dst, src, lambda, len); #else naive::decayL1(dst, src, lambda, len); #endif } template <> inline void decayL1( float* dst, float* src, float* lr, float lambda, size_t len) { #ifdef __AVX__ internal::decayL1AvxImpl(dst, src, lr, lambda, len); #else naive::decayL1(dst, src, lr, lambda, len); #endif } } // namespace simd } // namespace paddle