6159a5b0bc
* Generates tensor names
* Implement function helpers for Inputs/Outputs
* Fixed code style
* Share result tensor and add more tests
* Avoid not unique tensor names
* Print tensor name
* Fixed comment
* Fixed matmul transformation
* Fixed function evaluate
* Fixed typo
* Fixed interpreter backend
* Fixed comments
* Removed tensor names check
* Disabled negative tests
* Fixed NetworkContext_CNNNetwork tests
* Fixed GNA tests
* Remove reset names
* Fixed code style
* Temporary disable names generation
* Revert "Temporary disable names generation"
This reverts commit 133315a611.
* Fixed mapping generation and e2e tests
* Fixe Myriad tests
* Introduce AtomicGuard to fix possible thread issues
* Fixed comments
56 lines
2.2 KiB
C++
56 lines
2.2 KiB
C++
// Copyright (C) 2018-2021 Intel Corporation
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// SPDX-License-Identifier: Apache-2.0
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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 "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, tensor_names) {
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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(), relu->input_value(0).get_tensor().get_names());
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ASSERT_EQ(f0->get_result()->get_input_tensor(0).get_names(), relu->get_output_tensor(0).get_names());
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ASSERT_EQ(f0->get_result()->input_value(0).get_tensor().get_names(), relu->get_output_tensor(0).get_names());
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}
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TEST(tensor, generation_tensor_names) {
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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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auto relu = make_shared<opset6::Relu>(arg0);
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relu->set_friendly_name("relu");
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auto f0 = make_shared<Function>(relu, ParameterVector{arg0});
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ASSERT_FALSE(arg0->get_output_tensor(0).get_names().empty());
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ASSERT_FALSE(f0->get_result()->input_value(0).get_tensor().get_names().empty());
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ASSERT_NE(arg0->get_output_tensor(0).get_names(), relu->get_output_tensor(0).get_names());
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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(), relu->input_value(0).get_tensor().get_names());
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ASSERT_EQ(f0->get_result()->get_input_tensor(0).get_names(), relu->get_output_tensor(0).get_names());
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ASSERT_EQ(f0->get_result()->input_value(0).get_tensor().get_names(), relu->get_output_tensor(0).get_names());
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}
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