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Merge pull request #1139 from AsyaPronina:mean_scale_for_gapi_ov
Adding test data for G-API OV backend
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‎testdata/gapi/gapi_logo.jpg

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‎testdata/gapi/ov/identity_net_100x100.bin

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‎testdata/gapi/ov/identity_net_100x100.xml

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<?xml version="1.0"?>
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<net name="main_graph" version="11">
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<layers>
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<layer id="0" name="onnx::Reshape_0" type="Parameter" version="opset1">
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<data shape="1,100,100,3" element_type="f32" />
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<rt_info>
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<attribute name="old_api_map_element_type" version="0" value="f16" />
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</rt_info>
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<output>
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<port id="0" precision="FP32" names="onnx::Reshape_0">
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<dim>1</dim>
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<dim>100</dim>
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<dim>100</dim>
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<dim>3</dim>
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</port>
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</output>
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</layer>
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<layer id="1" name="/Constant" type="Const" version="opset1">
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<data element_type="i64" shape="2" offset="0" size="16" />
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<rt_info>
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<attribute name="precise" version="0" />
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</rt_info>
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<output>
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<port id="0" precision="I64" names="/Constant_output_0">
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<dim>2</dim>
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</port>
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</output>
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</layer>
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<layer id="2" name="/Reshape" type="Reshape" version="opset1">
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<data special_zero="true" />
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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>100</dim>
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<dim>100</dim>
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<dim>3</dim>
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</port>
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<port id="1" precision="I64">
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<dim>2</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="FP32" names="/Reshape_output_0">
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<dim>30000</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="3" name="/conv1d/Constant" type="Const" version="opset1">
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<data element_type="i64" shape="1" offset="16" size="8" />
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<output>
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<port id="0" precision="I64" names="/conv1d/Constant_output_0">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="4" name="/conv1d/Unsqueeze" type="Unsqueeze" version="opset1">
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<input>
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<port id="0" precision="FP32">
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<dim>30000</dim>
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<dim>1</dim>
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</port>
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="FP32" names="/conv1d/Unsqueeze_output_0">
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<dim>1</dim>
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<dim>30000</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="5" name="Reshape_15_compressed" type="Const" version="opset1">
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<data element_type="f16" shape="30000, 1, 1, 1" offset="24" size="60000" />
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<output>
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<port id="0" precision="FP16">
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<dim>30000</dim>
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<dim>1</dim>
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<dim>1</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="6" name="Reshape_15" type="Convert" version="opset1">
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<data destination_type="f32" />
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<rt_info>
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<attribute name="decompression" version="0" />
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</rt_info>
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<input>
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<port id="0" precision="FP16">
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<dim>30000</dim>
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<dim>1</dim>
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<dim>1</dim>
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="1" precision="FP32">
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<dim>30000</dim>
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<dim>1</dim>
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<dim>1</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="7" name="/conv1d/Conv/WithoutBiases" type="GroupConvolution" version="opset1">
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<data strides="1" pads_begin="0" pads_end="0" dilations="1" auto_pad="explicit" />
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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>30000</dim>
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<dim>1</dim>
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</port>
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<port id="1" precision="FP32">
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<dim>30000</dim>
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<dim>1</dim>
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<dim>1</dim>
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="FP32" names="/conv1d/Conv_output_0">
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<dim>1</dim>
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<dim>30000</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="8" name="/conv1d/Constant_1" type="Const" version="opset1">
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<data element_type="i64" shape="1" offset="16" size="8" />
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<output>
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<port id="0" precision="I64" names="/conv1d/Constant_1_output_0">
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="9" name="9" type="Squeeze" 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>30000</dim>
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<dim>1</dim>
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</port>
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<port id="1" precision="I64">
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<dim>1</dim>
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</port>
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</input>
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<output>
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<port id="2" precision="FP32" names="output">
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<dim>30000</dim>
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<dim>1</dim>
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</port>
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</output>
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</layer>
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<layer id="10" name="9/sink_port_0" type="Result" version="opset1">
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<input>
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<port id="0" precision="FP32">
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<dim>30000</dim>
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<dim>1</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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<edge from-layer="1" from-port="0" to-layer="2" to-port="1" />
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<edge from-layer="2" from-port="2" to-layer="4" to-port="0" />
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<edge from-layer="3" from-port="0" to-layer="4" to-port="1" />
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<edge from-layer="4" from-port="2" to-layer="7" to-port="0" />
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<edge from-layer="5" from-port="0" to-layer="6" to-port="0" />
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<edge from-layer="6" from-port="1" to-layer="7" to-port="1" />
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<edge from-layer="7" from-port="2" to-layer="9" to-port="0" />
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<edge from-layer="8" from-port="0" to-layer="9" to-port="1" />
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<edge from-layer="9" from-port="2" to-layer="10" to-port="0" />
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</edges>
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<rt_info>
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<Runtime_version value="2023.2.0-13089-cfd42bd2cb0-HEAD" />
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<conversion_parameters>
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<is_python_object value="False" />
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<output_model value="test_net.xml" />
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</conversion_parameters>
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</rt_info>
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</net>

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