/* 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 "paddle/fluid/operators/jit/helper.h" #include "paddle/fluid/operators/jit/kernel_base.h" #include "paddle/fluid/platform/enforce.h" namespace paddle { namespace operators { namespace jit { namespace refer { // Refer code only focus on correctness template void VMul(const T* x, const T* y, T* z, int n) { for (int i = 0; i < n; ++i) { z[i] = x[i] * y[i]; } } template void VAdd(const T* x, const T* y, T* z, int n) { for (int i = 0; i < n; ++i) { z[i] = x[i] + y[i]; } } template void VAddRelu(const T* x, const T* y, T* z, int n) { for (int i = 0; i < n; ++i) { z[i] = x[i] + y[i]; z[i] = z[i] > 0 ? z[i] : 0; } } template void VSub(const T* x, const T* y, T* z, int n) { for (int i = 0; i < n; ++i) { z[i] = x[i] - y[i]; } } template void VScal(const T* a, const T* x, T* y, int n) { for (int i = 0; i < n; ++i) { y[i] = a[0] * x[i]; } } template void VAddBias(const T* a, const T* x, T* y, int n) { for (int i = 0; i < n; ++i) { y[i] = a[0] + x[i]; } } #define DECLARE_REFER_KERNEL(name, tuples) \ template \ class name##Kernel : public ReferKernel> { \ public: \ name##Kernel() { this->func = name; } \ } // const T* x, const T* y, T* z, int n DECLARE_REFER_KERNEL(VMul, XYZNTuples); DECLARE_REFER_KERNEL(VAdd, XYZNTuples); DECLARE_REFER_KERNEL(VAddRelu, XYZNTuples); DECLARE_REFER_KERNEL(VSub, XYZNTuples); // const T* a, const T* x, T* y, int n DECLARE_REFER_KERNEL(VScal, AXYNTuples); DECLARE_REFER_KERNEL(VAddBias, AXYNTuples); #undef DECLARE_REFER_KERNEL } // namespace refer } // namespace jit } // namespace operators } // namespace paddle