Ilya Lavrenov
a3448032ca
* Minimized legacy usage in tests * Use legacy only for specific files * Fixed code style * Fixed linkage * Removed old CPU / GPU tests binaries * Test * Disabled IB console * Disabled test for AUTO QueryNetwork from parallel threads
92 lines
2.6 KiB
C++
92 lines
2.6 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 <string>
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#include "ngraph_reader_tests.hpp"
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using namespace InferenceEngine;
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TEST_F(NGraphReaderTests, ReadConstantNetwork) {
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std::string model = R"V0G0N(
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<net name="Network" version="10">
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<layers>
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<layer id="0" name="constant" type="Const" version="opset1">
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<data element_type="f32" offset="0" shape="1,3,22,22" size="5808"/>
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<output>
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<port id="0" precision="FP32">
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<dim>1</dim>
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<dim>3</dim>
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<dim>22</dim>
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<dim>22</dim>
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</port>
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</output>
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</layer>
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<layer name="output" type="Result" id="2" version="opset1">
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<input>
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<port id="0" precision="FP32">
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<dim>1</dim>
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<dim>3</dim>
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<dim>22</dim>
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<dim>22</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
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</edges>
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</net>
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)V0G0N";
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Core ie;
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Blob::Ptr weights;
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weights = make_shared_blob<uint8_t>(TensorDesc(Precision::U8, {5808}, Layout::C));
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weights->allocate();
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auto network = ie.ReadNetwork(model, weights);
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}
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TEST_F(NGraphReaderTests, ReadConstantNetworkWithNegativeDimension) {
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// test for IR Parser that dimensions with negative values are not allowed
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std::string model = R"V0G0N(
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<net name="Network" version="10">
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<layers>
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<layer id="0" name="constant" type="Const" version="opset1">
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<data element_type="f32" offset="0" shape="1,3,22,22" size="5808"/>
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<output>
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<port id="0" precision="FP32">
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<dim>1</dim>
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<dim>-3</dim>
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<dim>22</dim>
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<dim>22</dim>
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</port>
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</output>
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</layer>
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<layer name="output" type="Result" id="2" version="opset1">
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<input>
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<port id="0" precision="FP32">
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<dim>1</dim>
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<dim>3</dim>
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<dim>22</dim>
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<dim>22</dim>
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</port>
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</input>
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</layer>
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</layers>
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<edges>
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<edge from-layer="0" from-port="0" to-layer="2" to-port="0"/>
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</edges>
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</net>
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)V0G0N";
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Core ie;
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Blob::Ptr weights;
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weights = make_shared_blob<uint8_t>(TensorDesc(Precision::U8, {5808}, Layout::C));
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weights->allocate();
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EXPECT_THROW(ie.ReadNetwork(model, weights), std::exception);
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}
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