// 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 { struct _logical_and_func { inline bool operator()(const bool& a, const bool& b) const { return a && b; } }; struct _logical_or_func { inline bool operator()(const bool& a, const bool& b) const { return a || b; } }; struct _logical_xor_func { inline bool operator()(const bool& a, const bool& b) const { return (a || b) && !(a && b); } }; struct _logical_not_func { inline bool operator()(const bool& a, const bool& b) const { return !a; } }; template class LogicalTester : public arena::TestCase { protected: std::string op_type_ = "logical_xor"; std::string x_ = "x"; std::string y_ = "y"; std::string out_ = "out"; DDim dims_{{2, 3, 4, 5}}; public: LogicalTester(const Place& place, const std::string& alias, const std::string& op_type) : TestCase(place, alias), op_type_(op_type) {} void RunBaseline(Scope* scope) override { auto* x = scope->FindTensor(x_); const bool* x_data = x->template data(); const Tensor* y = nullptr; const bool* y_data = nullptr; if (op_type_ != "logical_not") { y = scope->FindTensor(y_); y_data = y->template data(); } auto* out = scope->NewTensor(out_); out->Resize(dims_); bool* out_data = out->template mutable_data(); for (int i = 0; i < dims_.production(); i++) { bool y_tmp = (y_data == nullptr) ? true : y_data[i]; out_data[i] = Functor()(x_data[i], y_tmp); } } void PrepareOpDesc(cpp::OpDesc* op_desc) { op_desc->SetType(op_type_); op_desc->SetInput("X", {x_}); if (op_type_ != "logical_not") { op_desc->SetInput("Y", {y_}); } op_desc->SetOutput("Out", {out_}); } void PrepareData() override { bool* dx = new bool[dims_.production()]; for (int64_t i = 0; i < dims_.production(); i++) { dx[i] = (i % 3 == 0); } SetCommonTensor(x_, dims_, dx); delete dx; if (op_type_ != "logical_not") { bool* dy = new bool[dims_.production()]; for (int64_t i = 0; i < dims_.production(); i++) { dy[i] = (i % 2 == 0); } SetCommonTensor(y_, dims_, dy); delete dy; } } }; void TestLogical(Place place, float abs_error) { std::unique_ptr logical_and_tester( new LogicalTester<_logical_and_func>(place, "def", "logical_and")); arena::Arena arena_and(std::move(logical_and_tester), place, abs_error); arena_and.TestPrecision(); std::unique_ptr logical_or_tester( new LogicalTester<_logical_or_func>(place, "def", "logical_or")); arena::Arena arena_or(std::move(logical_or_tester), place, abs_error); arena_or.TestPrecision(); std::unique_ptr logical_xor_tester( new LogicalTester<_logical_xor_func>(place, "def", "logical_xor")); arena::Arena arena_xor(std::move(logical_xor_tester), place, abs_error); arena_xor.TestPrecision(); std::unique_ptr logical_not_tester( new LogicalTester<_logical_not_func>(place, "def", "logical_not")); arena::Arena arena_not(std::move(logical_not_tester), place, abs_error); arena_not.TestPrecision(); } TEST(Logical, precision) { Place place; float abs_error = 1e-5; #if defined(LITE_WITH_ARM) place = TARGET(kHost); #else return; #endif TestLogical(place, abs_error); } } // namespace lite } // namespace paddle