//***************************************************************************** // Copyright 2017-2019 Intel Corporation // // 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 <algorithm> #include <memory> #include <sstream> #include <string> #include <vector> #include "gtest/gtest.h" #include "ngraph/function.hpp" #include "ngraph/ngraph.hpp" #include "ngraph/pass/liveness.hpp" #include "ngraph/pass/manager.hpp" #include "util/test_tools.hpp" using namespace std; using namespace ngraph; TEST(tensor, size) { pass::Manager pass_manager; pass_manager.register_pass<pass::Liveness>(); { auto arg0 = make_shared<op::Parameter>(element::f32, Shape{2, 3}); auto add = make_shared<op::Add>(arg0, arg0); auto f0 = make_shared<Function>(add, ParameterVector{arg0}); pass_manager.run_passes(f0); ASSERT_EQ(1, arg0->get_output_size()); descriptor::Tensor& output = arg0->output(0).get_tensor(); EXPECT_EQ(2 * 3 * 4, output.size()); } { auto arg0 = make_shared<op::Parameter>(element::f32, Shape{}); auto add = make_shared<op::Add>(arg0, arg0); auto f0 = make_shared<Function>(add, ParameterVector{arg0}); pass_manager.run_passes(f0); ASSERT_EQ(1, arg0->get_output_size()); descriptor::Tensor& output = arg0->output(0).get_tensor(); EXPECT_EQ(1 * 4, output.size()); } { auto arg0 = make_shared<op::Parameter>(element::f32, Shape{1}); auto add = make_shared<op::Add>(arg0, arg0); auto f0 = make_shared<Function>(add, ParameterVector{arg0}); pass_manager.run_passes(f0); ASSERT_EQ(1, arg0->get_output_size()); descriptor::Tensor& output = arg0->output(0).get_tensor(); EXPECT_EQ(1 * 4, output.size()); } } TEST(tensor, output_flag) { pass::Manager pass_manager; pass_manager.register_pass<pass::Liveness>(); auto arg0 = make_shared<op::Parameter>(element::f32, Shape{1}); auto add = make_shared<op::Add>(arg0, arg0); auto f0 = make_shared<Function>(add, ParameterVector{arg0}); pass_manager.run_passes(f0); for (size_t i = 0; i < f0->get_output_size(); ++i) { EXPECT_TRUE(f0->get_output_op(i)->is_output()); } }