/* 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. */ #pragma once #include <string> #include "paddle/fluid/operators/math/cpu_vec.h" #include "paddle/fluid/platform/cpu_info.h" #ifdef __AVX__ #include <immintrin.h> #endif namespace paddle { namespace operators { namespace math { // TODO(TJ): ugly workaround, clean me template <typename T> void lstm_compute_ctht(T* gates, const T* ct_1, T* ct, T* ht) { // gates: W_ch, W_ih, W_fh, W_oh vec_sigmoid<T, platform::jit::avx>(24, gates + 8, gates + 8); vec_tanh<T, platform::jit::avx>(8, gates, gates); const T *i = gates + 8, *f = gates + 16, *o = gates + 24; const T min = SIGMOID_THRESHOLD_MIN; const T max = SIGMOID_THRESHOLD_MAX; for (int d = 0; d < 8; ++d) { // C_t = C_t-1 * fgated + cand_gated * igated ct[d] = ct_1[d] * f[d] + gates[d] * i[d]; // H_t = act_cell(C_t) * ogated T tmp = ct[d] * 2; tmp = static_cast<T>(0) - ((tmp < min) ? min : ((tmp > max) ? max : tmp)); vec_exp<T>(1, &tmp, &tmp); tmp = static_cast<T>(2) / (static_cast<T>(1) + tmp) - static_cast<T>(1); ht[d] = tmp * o[d]; } } #ifdef __AVX__ namespace detail { namespace forward { namespace avx { __m256 Sigmoid(const __m256 a); __m256 Tanh(const __m256 a); } // namespace avx } // namespace forward } // namespace detail template <> void lstm_compute_ctht<float>(float* gates, const float* ct_1, float* ct, float* ht) { namespace act = detail::forward::avx; // gates: W_ch, W_ih, W_fh, W_oh __m256 c, i, f, o; c = _mm256_loadu_ps(gates); i = _mm256_loadu_ps(gates + 8); f = _mm256_loadu_ps(gates + 16); o = _mm256_loadu_ps(gates + 24); /* C_t = C_t-1 * fgated + cand_gated * igated*/ c = _mm256_mul_ps(act::Tanh(c), act::Sigmoid(i)); i = _mm256_loadu_ps(ct_1); f = _mm256_mul_ps(i, act::Sigmoid(f)); f = _mm256_add_ps(c, f); _mm256_storeu_ps(ct, f); /* H_t = act_cell(C_t) * ogated */ o = _mm256_mul_ps(act::Tanh(f), act::Sigmoid(o)); _mm256_storeu_ps(ht, o); } #endif } // namespace math } // namespace operators } // namespace paddle