115 lines
3.7 KiB
C++
115 lines
3.7 KiB
C++
//*****************************************************************************
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// Copyright 2017-2021 Intel Corporation
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//*****************************************************************************
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#include <algorithm>
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#include <memory>
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#include <sstream>
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#include <string>
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#include <vector>
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#include "gtest/gtest.h"
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#include "ngraph/function.hpp"
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#include "ngraph/ngraph.hpp"
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#include "ngraph/opsets/opset6.hpp"
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#include "ngraph/pass/manager.hpp"
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#include "pass/liveness.hpp"
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#include "util/test_tools.hpp"
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NGRAPH_SUPPRESS_DEPRECATED_START
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using namespace std;
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using namespace ngraph;
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TEST(tensor, size)
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{
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pass::Manager pass_manager;
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pass_manager.register_pass<pass::Liveness>();
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{
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auto arg0 = make_shared<op::Parameter>(element::f32, Shape{2, 3});
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auto add = make_shared<op::v1::Add>(arg0, arg0);
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auto f0 = make_shared<Function>(add, ParameterVector{arg0});
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pass_manager.run_passes(f0);
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ASSERT_EQ(1, arg0->get_output_size());
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descriptor::Tensor& output = arg0->get_output_tensor(0);
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EXPECT_EQ(2 * 3 * 4, output.size());
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}
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{
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auto arg0 = make_shared<op::Parameter>(element::f32, Shape{});
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auto add = make_shared<op::v1::Add>(arg0, arg0);
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auto f0 = make_shared<Function>(add, ParameterVector{arg0});
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pass_manager.run_passes(f0);
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ASSERT_EQ(1, arg0->get_output_size());
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descriptor::Tensor& output = arg0->get_output_tensor(0);
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EXPECT_EQ(1 * 4, output.size());
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}
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{
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auto arg0 = make_shared<op::Parameter>(element::f32, Shape{1});
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auto add = make_shared<op::v1::Add>(arg0, arg0);
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auto f0 = make_shared<Function>(add, ParameterVector{arg0});
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pass_manager.run_passes(f0);
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ASSERT_EQ(1, arg0->get_output_size());
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descriptor::Tensor& output = arg0->get_output_tensor(0);
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EXPECT_EQ(1 * 4, output.size());
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}
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}
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TEST(tensor, output_flag)
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{
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pass::Manager pass_manager;
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pass_manager.register_pass<pass::Liveness>();
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auto arg0 = make_shared<op::Parameter>(element::f32, Shape{1});
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auto add = make_shared<op::v1::Add>(arg0, arg0);
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auto f0 = make_shared<Function>(add, ParameterVector{arg0});
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pass_manager.run_passes(f0);
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for (size_t i = 0; i < f0->get_output_size(); ++i)
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{
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EXPECT_TRUE(op::is_output(f0->get_output_op(i)));
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}
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}
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TEST(tensor, tensor_names)
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{
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auto arg0 = make_shared<opset6::Parameter>(element::f32, Shape{1});
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arg0->set_friendly_name("data");
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arg0->get_output_tensor(0).set_names({"input"});
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auto relu = make_shared<opset6::Relu>(arg0);
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relu->set_friendly_name("relu");
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relu->get_output_tensor(0).set_names({"relu_t", "identity"});
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auto f0 = make_shared<Function>(relu, ParameterVector{arg0});
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ASSERT_EQ(arg0->get_output_tensor(0).get_names(), relu->get_input_tensor(0).get_names());
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ASSERT_EQ(arg0->get_output_tensor(0).get_names(),
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relu->input_value(0).get_tensor().get_names());
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ASSERT_EQ(f0->get_result()->get_input_tensor(0).get_names(),
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relu->get_output_tensor(0).get_names());
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ASSERT_EQ(f0->get_result()->input_value(0).get_tensor().get_names(),
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relu->get_output_tensor(0).get_names());
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}
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