NCS2 does not generate correct conv results when strides set to 2

[Tsin__Ross]

Hi, 

I write my IR xml file following the docs in https://docs.openvinotoolkit.org/latest/openvino_docs_MO_DG_prepare_model_convert_model_Legacy_IR_Layers_Catalog_Spec.html#Convolution 

and the first layer look like this:

<net batch = "1" name="shufflenet-myriad" version="7">
	<layers>
		<layer id="0" name="inputs" precision="FP32" type="Input" >
			<output>
				<port id="0" >
					<dim>1</dim>
					<dim>3</dim>
					<dim>416</dim>
					<dim>416</dim>
				</port>
			</output>
		</layer>
		<layer id="1" name="layer01.conv1" precision="FP16" type="Convolution" >
			<data auto_pad="same_upper" dilations="1,1" group="1" kernel="3,3" output="24" pads_begin="1,1" pads_end="1,1" strides="2,2"/>
			<weights offset="0" size="1296"/>
			<biases offset="1296" size="48"/>
			<input>
				<port id="0" >
					<dim>1</dim>
					<dim>3</dim>
					<dim>416</dim>
					<dim>416</dim>
				</port>
			</input>
			<output>
				<port id="1" >
					<dim>1</dim>
					<dim>24</dim>
					<dim>208</dim>
					<dim>208</dim>
				</port>
			</output>
		</layer>
	</layers>
	<edges>
		<edge from-layer="0" from-port="0" to-layer="1" to-port="0"/>
	</edges>
	<meta_data>
	</meta_data>
</net>

I did not get results as the GPU did, and checked the results, the differences were everywhere.

Input data(a normalized 3x416x416 image file data ), weight, bias and expected output files are attached. 

Please help me to see whether this is a computation problem.

Thanks and Regards,

Ross

[Tsin__Ross]

I removed the "auto_pad" attr and it worked.