// Copyright (c) 2019 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 #include namespace paddle { namespace lite { namespace cuda { namespace math { // fp32 template void relu(int num, const T* din, T* dout, float alpha, cudaStream_t stream); template void relu_int8_nhwc4(int num, const void* in, void* out, int N, int K, int H, int W, const void* scale, float alpha, cudaStream_t stream); template void bias_relu(int num, const T* din, const float* bias, T* dout, float alpha, cudaStream_t stream); // For int8 template void bias_relu_int8_nhwc(int num, const void* in, const void* bias, void* out, int N, int C, int H, int W, const void* scale, float alpha, cudaStream_t stream); template void bias_int8_nhwc(int num, const void* in, const void* bias, void* out, int N, int C, int H, int W, const void* scale, cudaStream_t stream); } // namespace math } // namespace cuda } // namespace lite } // namespace paddle