// 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. #include #include "lite/api/paddle_use_kernels.h" #include "lite/api/paddle_use_ops.h" #include "lite/core/arena/framework.h" namespace paddle { namespace lite { class AssignComputeTester : public arena::TestCase { protected: std::string input_ = "X"; std::string output_ = "Out"; DDim dims_{{100, 20}}; public: AssignComputeTester(const Place& place, const std::string& alias) : TestCase(place, alias) {} void RunBaseline(Scope* scope) override { auto* out = scope->NewTensor(output_); CHECK(out); out->Resize(dims_); auto* out_data = out->mutable_data(); auto* x = scope->FindTensor(input_); const auto* x_data = x->data(); for (int i = 0; i < dims_.production(); i++) { out_data[i] = x_data[i]; } } void PrepareOpDesc(cpp::OpDesc* op_desc) { op_desc->SetType("assign"); op_desc->SetInput("X", {input_}); op_desc->SetOutput("Out", {output_}); } void PrepareData() override { std::vector data(dims_.production()); for (int i = 0; i < dims_.production(); i++) { data[i] = i * 1.1; } SetCommonTensor(input_, dims_, data.data()); } }; void TestAssign(const Place& place) { std::unique_ptr tester( new AssignComputeTester(place, "def")); arena::Arena arena(std::move(tester), place, 2e-5); arena.TestPrecision(); } TEST(Assign, precision) { #ifdef LITE_WITH_X86 Place place(TARGET(kX86)); #endif #ifdef LITE_WITH_ARM Place place(TARGET(kARM)); TestAssign(place); #endif } } // namespace lite } // namespace paddle