/* 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. */ #include #include "paddle/fluid/inference/anakin/convert/op_converter.h" #include "paddle/fluid/inference/anakin/convert/relu.h" #include "paddle/fluid/inference/anakin/convert/ut_helper.h" namespace paddle { namespace inference { namespace anakin { template static void test_activation_op(const std::string& op_type, const platform::DeviceContext& context, bool use_gpu) { std::unordered_set parameters; framework::Scope scope; AnakinConvertValidation validator( parameters, &scope, context, use_gpu); validator.DeclInputVar("act-X", {10, 6, 1, 1}); validator.DeclOutputVar("act-Out", {10, 6, 1, 1}); framework::OpDesc desc; desc.SetType(op_type); desc.SetInput("X", {"act-X"}); desc.SetOutput("Out", {"act-Out"}); if (op_type == "leaky_relu") { desc.SetAttr("alpha", 0.1f); } LOG(INFO) << "set OP"; validator.SetOp(*desc.Proto()); LOG(INFO) << "execute"; validator.Execute(5); } #ifdef PADDLE_WITH_CUDA TEST(relu_op, gpu) { platform::CUDAPlace gpu_place(0); platform::CUDADeviceContext ctx(gpu_place); test_activation_op<::anakin::saber::NV>("relu", ctx, true); } TEST(leaky_relu_op, gpu) { platform::CUDAPlace gpu_place(0); platform::CUDADeviceContext ctx(gpu_place); test_activation_op<::anakin::saber::NV>("leaky_relu", ctx, true); } #endif } // namespace anakin } // namespace inference } // namespace paddle USE_OP(relu); USE_OP(leaky_relu); USE_ANAKIN_CONVERTER(relu); USE_ANAKIN_CONVERTER(leaky_relu);