// Copyright (c) 2024 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 #include "paddle/phi/common/data_type.h" namespace phi { template inline void NormalDistribution(T* data, const int64_t& size, const float& mean, const float& std, std::shared_ptr engine) { std::normal_distribution dist(mean, std); for (int64_t i = 0; i < size; ++i) { data[i] = dist(*engine); } } template <> inline void NormalDistribution(phi::float16* data, const int64_t& size, const float& mean, const float& std, std::shared_ptr engine) { std::normal_distribution dist(mean, std); for (int64_t i = 0; i < size; ++i) { data[i] = static_cast(dist(*engine)); } } template <> inline void NormalDistribution(phi::bfloat16* data, const int64_t& size, const float& mean, const float& std, std::shared_ptr engine) { std::normal_distribution dist(mean, std); for (int64_t i = 0; i < size; ++i) { data[i] = static_cast(dist(*engine)); } } template <> inline void NormalDistribution(phi::complex64* data, const int64_t& size, const float& mean, const float& std, std::shared_ptr engine) { float std_of_real_or_imag = std::sqrt(std::pow(std, 2) / 2); std::normal_distribution dist(mean, std_of_real_or_imag); for (int64_t i = 0; i < size; ++i) { float real = dist(*engine); float imag = dist(*engine); data[i] = phi::complex64(real, imag); } } template <> inline void NormalDistribution(phi::complex128* data, const int64_t& size, const float& mean, const float& std, std::shared_ptr engine) { float std_of_real_or_imag = std::sqrt(std::pow(std, 2) / 2); std::normal_distribution dist(mean, std_of_real_or_imag); for (int64_t i = 0; i < size; ++i) { double real = dist(*engine); double imag = dist(*engine); data[i] = phi::complex128(real, imag); } } } // namespace phi