96 lines
3.7 KiB
C++
96 lines
3.7 KiB
C++
//*****************************************************************************
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// Copyright 2017-2020 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 "test_case.hpp"
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#include "gtest/gtest.h"
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#include "ngraph/assertion.hpp"
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ngraph::test::NgraphTestCase::NgraphTestCase(const std::shared_ptr<Function>& function,
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const std::string& backend_name,
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const BackendMode mode)
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: m_function(function)
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{
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if (mode == BackendMode::STATIC)
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{
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NGRAPH_CHECK(!m_function->is_dynamic(),
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"For dynamic function using dynamic backend is expected.");
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}
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// IE backend test should not be run with dynamic backend wrapper
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const bool use_dynamic =
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mode == BackendMode::DYNAMIC && backend_name.find("IE") == std::string::npos;
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m_backend = ngraph::runtime::Backend::create(backend_name, use_dynamic);
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m_executable = m_backend->compile(m_function);
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for (auto i = 0; i < m_function->get_output_size(); ++i)
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{
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const auto& output_tensor =
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(use_dynamic)
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? m_backend->create_dynamic_tensor(m_function->get_output_element_type(i),
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m_function->get_output_partial_shape(i))
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: m_backend->create_tensor(m_function->get_output_element_type(i),
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m_function->get_output_shape(i));
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m_result_tensors.emplace_back(output_tensor);
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}
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}
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::testing::AssertionResult ngraph::test::NgraphTestCase::run(size_t tolerance_bits)
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{
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m_tolerance_bits = tolerance_bits;
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const auto& function_results = m_function->get_results();
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NGRAPH_CHECK(m_expected_outputs.size() == function_results.size(),
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"Expected number of outputs is different from the function's number of results.");
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m_executable->call_with_validate(m_result_tensors, m_input_tensors);
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for (size_t i = 0; i < m_expected_outputs.size(); ++i)
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{
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const auto& result_tensor = m_result_tensors.at(i);
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const auto& expected_result_constant = m_expected_outputs.at(i);
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const auto& element_type = result_tensor->get_element_type();
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EXPECT_EQ(expected_result_constant->get_output_size(), 1);
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const auto& expected_shape = expected_result_constant->get_shape();
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const auto& result_shape = result_tensor->get_shape();
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EXPECT_EQ(expected_shape, result_shape);
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if (m_value_comparators.count(element_type) == 0)
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{
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NGRAPH_FAIL() << "Please add support for " << element_type
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<< " to ngraph::test::NgraphTestCase::run()";
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}
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else
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{
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auto values_match = m_value_comparators.at(element_type);
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EXPECT_TRUE(values_match(expected_result_constant, result_tensor));
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}
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}
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m_input_index = 0;
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m_output_index = 0;
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m_expected_outputs.clear();
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m_input_tensors.clear();
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return ::testing::AssertionSuccess();
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}
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ngraph::test::NgraphTestCase& ngraph::test::NgraphTestCase::dump_results(bool dump)
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{
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m_dump_results = dump;
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return *this;
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}
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