diff --git "a/EfficientPoseI-fp32.xml" "b/EfficientPoseI-fp32.xml"
new file mode 100644--- /dev/null
+++ "b/EfficientPoseI-fp32.xml"
@@ -0,0 +1,19092 @@
+<?xml version="1.0" ?>
+<net name="EfficientPoseI-fp32" version="11">
+	<layers>
+		<layer id="0" name="input_res1" type="Parameter" version="opset1">
+			<data shape="1,256,256,3" element_type="f32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res1"/>
+				<attribute name="old_api_map_order" version="0" value="0, 2, 3, 1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="input_res1:0">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="pass3_block1_mbconv3_detection2_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv3_detection2_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv3_detection2_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="pass3_block1_mbconv3_detection2_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv3_detection2_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv3_detection2_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="pass3_block1_mbconv3_detection2_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv3_detection2_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv3_detection2_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="pass3_block1_mbconv2_detection2_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv2_detection2_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv2_detection2_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="pass3_block1_mbconv2_detection2_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv2_detection2_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv2_detection2_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="pass3_block1_mbconv2_detection2_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv2_detection2_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv2_detection2_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="pass3_block1_mbconv1_detection2_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv1_detection2_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv1_detection2_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="pass3_block1_mbconv1_detection2_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv1_detection2_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv1_detection2_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="pass3_block1_mbconv1_detection2_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv1_detection2_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_block1_mbconv1_detection2_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="pass2_block1_mbconv3_detection1_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv3_detection1_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv3_detection1_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="pass2_block1_mbconv3_detection1_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv3_detection1_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv3_detection1_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="pass2_block1_mbconv3_detection1_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv3_detection1_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv3_detection1_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="pass2_block1_mbconv2_detection1_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv2_detection1_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv2_detection1_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="pass2_block1_mbconv2_detection1_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv2_detection1_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv2_detection1_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="pass2_block1_mbconv2_detection1_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv2_detection1_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv2_detection1_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="pass2_block1_mbconv1_detection1_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv1_detection1_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv1_detection1_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="pass2_block1_mbconv1_detection1_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv1_detection1_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv1_detection1_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="pass2_block1_mbconv1_detection1_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass2_block1_mbconv1_detection1_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass2_block1_mbconv1_detection1_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="pass1_block1_mbconv3_skeleton_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv3_skeleton_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv3_skeleton_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="pass1_block1_mbconv3_skeleton_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv3_skeleton_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv3_skeleton_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="pass1_block1_mbconv3_skeleton_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv3_skeleton_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv3_skeleton_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="pass1_block1_mbconv2_skeleton_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv2_skeleton_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv2_skeleton_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="pass1_block1_mbconv2_skeleton_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv2_skeleton_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv2_skeleton_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="pass1_block1_mbconv2_skeleton_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv2_skeleton_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv2_skeleton_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="pass1_block1_mbconv1_skeleton_se_se_squeeze_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv1_skeleton_se_se_squeeze_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv1_skeleton_se_se_squeeze_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="pass1_block1_mbconv1_skeleton_dconv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv1_skeleton_dconv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv1_skeleton_dconv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="pass1_block1_mbconv1_skeleton_conv1_eswish/mul/x" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1, 1, 1" offset="0" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass1_block1_mbconv1_skeleton_conv1_eswish/mul/x"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass1_block1_mbconv1_skeleton_conv1_eswish/mul/x:0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="input_res1/Transpose([0 3 1 2])/value2698838695" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4" size="32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res1/Transpose([0 3 1 2])/value2698838695"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="input_res1/Transpose([0 3 1 2])" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res1/Transpose([0 3 1 2])"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="data_mul_1988339055" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 3, 1, 1" offset="36" size="12"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_mul_1988339055"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="input_res1/scale/Fused_Mul_" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res1/scale/Fused_Mul_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="data_add_1988538278" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 3, 1, 1" offset="48" size="12"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1988538278"/>
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+			<output>
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+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="input_res1/mean/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res1/mean/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>3</dim>
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+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="stem_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 3, 3, 3" offset="60" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="stem_conv_res1/kernel/read:0">
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="stem_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_conv_res1/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
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+					<dim>256</dim>
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="36" name="data_add_1996019965" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="3516" size="128"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1996019965"/>
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+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="stem_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="stem_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="stem_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_activation_res1/Sigmoid, stem_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="stem_activation_res1/mul:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="block1a_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 1, 1, 3, 3" offset="3644" size="1152"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block1a_dwconv_res1/depthwise_kernel/read:0">
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="block1a_dwconv_res1/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_dwconv_res1/depthwise"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="data_add_1996819973" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="4796" size="128"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1996819973"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="block1a_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block1a_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="block1a_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_activation_res1/Sigmoid, block1a_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="block1a_se_squeeze_res1/MeanGather2952839184" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_squeeze_res1/MeanGather2952839184"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="45" name="block1a_se_squeeze_res1/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_squeeze_res1/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block1a_se_squeeze_res1/Mean:0">
+					<dim>1</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="46" name="block1a_se_reshape_res1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I32" names="block1a_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="block1a_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block1a_se_reshape_res1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="block1a_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block1a_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="block1a_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block1a_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="block1a_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/strided_slice, block1a_se_reshape_res1/strided_slice/stack, block1a_se_reshape_res1/strided_slice/stack_1, block1a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			<output>
+				<port id="4" precision="I32" names="block1a_se_reshape_res1/strided_slice:0"/>
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+		</layer>
+		<layer id="51" name="block1a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="block1a_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape/Unsqueeze, block1a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="53" name="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1950" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1950"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1952" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1952"/>
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+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="55" name="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1954" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4960" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape/Unsqueeze1954"/>
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+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="56" name="block1a_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/shape, block1a_se_reshape_res1/Reshape/shape/Unsqueeze1950, block1a_se_reshape_res1/Reshape/shape/Unsqueeze1952, block1a_se_reshape_res1/Reshape/shape/Unsqueeze1954"/>
+			</rt_info>
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+				<port id="4" precision="I32">
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+			</output>
+		</layer>
+		<layer id="57" name="block1a_se_reshape_res1/Reshape/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/Cast_1"/>
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+			</input>
+			<output>
+				<port id="1" precision="I64" names="block1a_se_reshape_res1/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="58" name="block1a_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape"/>
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+			<input>
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+				</port>
+				<port id="1" precision="I64">
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+					<dim>1</dim>
+					<dim>1</dim>
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+		</layer>
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+		</layer>
+		<layer id="60" name="block1a_se_reshape_res1/Reshape/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res1/Reshape/Transpose"/>
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
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+			</output>
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+			</output>
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+		<layer id="64" name="block1a_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reduce_res1/BiasAdd/Add"/>
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+			</output>
+		</layer>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="fused_names" version="0" value="block1a_se_expand_res1/BiasAdd/Add"/>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_expand_res1/Sigmoid"/>
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+			</output>
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+			<data auto_broadcast="numpy"/>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
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+			<data auto_broadcast="numpy"/>
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+			<data keep_dims="false"/>
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+					<dim>1</dim>
+				</port>
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+		</layer>
+		<layer id="87" name="block1b_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
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+		</layer>
+		<layer id="88" name="block1b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
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+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="89" name="block1b_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1b_se_reshape_res1/Reshape/shape/Unsqueeze, block1b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
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+				</port>
+			</output>
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+			</output>
+		</layer>
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+			<rt_info>
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+		</layer>
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+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1b_se_reshape_res1/Reshape/shape, block1b_se_reshape_res1/Reshape/shape/Unsqueeze1932, block1b_se_reshape_res1/Reshape/shape/Unsqueeze1934, block1b_se_reshape_res1/Reshape/shape/Unsqueeze1936"/>
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+			</output>
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+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1b_se_reshape_res1/Reshape/Cast_1"/>
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+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="95" name="block1b_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1b_se_reshape_res1/Reshape"/>
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+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
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+			</output>
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+			</output>
+		</layer>
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+			</output>
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="fused_names" version="0" value="block1b_se_reduce_swish_res1/Sigmoid, block1b_se_reduce_swish_res1/mul"/>
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+			</output>
+		</layer>
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+				<attribute name="fused_names" version="0" value="block1b_se_expand_res1/BiasAdd/Add"/>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
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+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block1b_add_res1/add:0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="114" name="block2a_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="96, 16, 1, 1" offset="11672" size="6144"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2a_expand_conv_res1/kernel/read:0">
+					<dim>96</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="115" name="block2a_expand_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_expand_conv_res1/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="data_add_2000020005" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 96, 1, 1" offset="17816" size="384"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2000020005"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="block2a_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_expand_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="block2a_expand_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_expand_activation_res1/Sigmoid, block2a_expand_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block2a_expand_activation_res1/mul:0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="119" name="block2a_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="96, 1, 1, 3, 3" offset="18200" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2a_dwconv_res1/depthwise_kernel/read:0">
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="120" name="block2a_dwconv_res1/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="2, 2" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_dwconv_res1/depthwise"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="121" name="data_add_2000820013" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 96, 1, 1" offset="21656" size="384"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2000820013"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="122" name="block2a_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="123" name="block2a_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_activation_res1/Sigmoid, block2a_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="124" name="block2a_se_squeeze_res1/MeanGather2953238797" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_squeeze_res1/MeanGather2953238797"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="125" name="block2a_se_squeeze_res1/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_squeeze_res1/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_se_squeeze_res1/Mean:0">
+					<dim>1</dim>
+					<dim>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="126" name="block2a_se_reshape_res1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32" names="block2a_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="127" name="block2a_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="128" name="block2a_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="129" name="block2a_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="130" name="block2a_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/strided_slice, block2a_se_reshape_res1/strided_slice/stack, block2a_se_reshape_res1/strided_slice/stack_1, block2a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			</input>
+			<output>
+				<port id="4" precision="I32" names="block2a_se_reshape_res1/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="131" name="block2a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="132" name="block2a_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape/Unsqueeze, block2a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2013" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2013"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="134" name="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2015" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2015"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="135" name="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2017" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22040" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape/Unsqueeze2017"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="block2a_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/shape, block2a_se_reshape_res1/Reshape/shape/Unsqueeze2013, block2a_se_reshape_res1/Reshape/shape/Unsqueeze2015, block2a_se_reshape_res1/Reshape/shape/Unsqueeze2017"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+				<port id="2" precision="I32">
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+				<port id="3" precision="I32">
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+			<output>
+				<port id="4" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="block2a_se_reshape_res1/Reshape/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/Cast_1"/>
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+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="block2a_se_reshape_res1/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="138" name="block2a_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+				</port>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="Constant_6122" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="140" name="block2a_se_reshape_res1/Reshape/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res1/Reshape/Transpose"/>
+			</rt_info>
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+					<dim>96</dim>
+				</port>
+				<port id="1" precision="I64">
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+			</input>
+			<output>
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+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="141" name="block2a_se_reduce_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="4, 96, 1, 1" offset="22076" size="1536"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reduce_res1/kernel/read"/>
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+					<dim>4</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="142" name="block2a_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reduce_res1/convolution"/>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+		<layer id="144" name="block2a_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
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+				<port id="1" precision="I32" names="block2b_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="block2b_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2b_se_reshape_res1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="170" name="block2b_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2b_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="171" name="block2b_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2b_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="block2b_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/strided_slice, block2b_se_reshape_res1/strided_slice/stack, block2b_se_reshape_res1/strided_slice/stack_1, block2b_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
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+			</input>
+			<output>
+				<port id="4" precision="I32" names="block2b_se_reshape_res1/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="173" name="block2b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="block2b_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape/Unsqueeze, block2b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="175" name="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1968" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1968"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="176" name="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1970" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1970"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="177" name="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1972" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="55020" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape/Unsqueeze1972"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="178" name="block2b_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/shape, block2b_se_reshape_res1/Reshape/shape/Unsqueeze1968, block2b_se_reshape_res1/Reshape/shape/Unsqueeze1970, block2b_se_reshape_res1/Reshape/shape/Unsqueeze1972"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
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+				<port id="3" precision="I32">
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+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="block2b_se_reshape_res1/Reshape/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/Cast_1"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="block2b_se_reshape_res1/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="180" name="block2b_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="181" name="Constant_6132" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="55024" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="block2b_se_reshape_res1/Reshape/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res1/Reshape/Transpose"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2b_se_reshape_res1/Reshape:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="183" name="block2b_se_reduce_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="6, 144, 1, 1" offset="55056" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reduce_res1/kernel/read"/>
+			</rt_info>
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+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="184" name="block2b_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reduce_res1/convolution"/>
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP32">
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+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2b_se_reduce_res1/convolution:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="185" name="block2b_se_reduce_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 6, 1, 1" offset="58512" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reduce_res1/bias/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2b_se_reduce_res1/bias/read:0">
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+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="186" name="block2b_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reduce_res1/BiasAdd/Add"/>
+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2b_se_reduce_res1/BiasAdd:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="187" name="block2b_se_reduce_swish_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reduce_swish_res1/Sigmoid, block2b_se_reduce_swish_res1/mul"/>
+			</rt_info>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block2b_se_reduce_swish_res1/mul:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="188" name="block2b_se_expand_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="144, 6, 1, 1" offset="58536" size="3456"/>
+			<rt_info>
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+					<dim>144</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="189" name="block2b_se_expand_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_expand_res1/convolution"/>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2b_se_expand_res1/convolution:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="190" name="block2b_se_expand_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 144, 1, 1" offset="61992" size="576"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_expand_res1/bias/read"/>
+			</rt_info>
+			<output>
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+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="block2b_se_expand_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_expand_res1/BiasAdd/Add"/>
+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+				<port id="2" precision="FP32" names="block2b_se_expand_res1/BiasAdd:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="192" name="block2b_se_expand_res1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_expand_res1/Sigmoid"/>
+			</rt_info>
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+			<output>
+				<port id="1" precision="FP32" names="block2b_se_expand_res1/Sigmoid:0">
+					<dim>1</dim>
+					<dim>144</dim>
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+					<dim>1</dim>
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+			</output>
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+		<layer id="193" name="block2b_se_excite_res1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_excite_res1/mul"/>
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+			</input>
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+					<dim>144</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="block2b_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 144, 1, 1" offset="62568" size="13824"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2b_project_conv_res1/kernel/read:0">
+					<dim>24</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="195" name="block2b_project_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_project_conv_res1/convolution"/>
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+					<dim>64</dim>
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+				</port>
+			</output>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2004020045"/>
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+			</output>
+		</layer>
+		<layer id="197" name="block2b_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="226" name="block2c_se_reduce_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="6, 144, 1, 1" offset="96648" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_reduce_res1/kernel/read"/>
+			</rt_info>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="227" name="block2c_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_reduce_res1/convolution"/>
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+			</input>
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+				<port id="2" precision="FP32" names="block2c_se_reduce_res1/convolution:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="228" name="block2c_se_reduce_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 6, 1, 1" offset="100104" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_reduce_res1/bias/read"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="229" name="block2c_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_reduce_res1/BiasAdd/Add"/>
+			</rt_info>
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+					<dim>1</dim>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="block2c_se_reduce_swish_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_reduce_swish_res1/Sigmoid, block2c_se_reduce_swish_res1/mul"/>
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+				<port id="1" precision="FP32" names="block2c_se_reduce_swish_res1/mul:0">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="231" name="block2c_se_expand_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="144, 6, 1, 1" offset="100128" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_expand_res1/kernel/read"/>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="232" name="block2c_se_expand_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="233" name="block2c_se_expand_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 144, 1, 1" offset="103584" size="576"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_expand_res1/bias/read"/>
+			</rt_info>
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+			</output>
+		</layer>
+		<layer id="234" name="block2c_se_expand_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_expand_res1/BiasAdd/Add"/>
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+				<port id="2" precision="FP32" names="block2c_se_expand_res1/BiasAdd:0">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="235" name="block2c_se_expand_res1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_expand_res1/Sigmoid"/>
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+				<port id="1" precision="FP32" names="block2c_se_expand_res1/Sigmoid:0">
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="236" name="block2c_se_excite_res1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_se_excite_res1/mul"/>
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+			</input>
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+			</output>
+		</layer>
+		<layer id="237" name="block2c_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 144, 1, 1" offset="104160" size="13824"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="238" name="block2c_project_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_project_conv_res1/convolution"/>
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+		<layer id="240" name="block2c_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2c_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
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+				<port id="2" precision="FP32" names="block2c_project_bn_res1/FusedBatchNorm_1:0,lambda_3_res1/Identity:0">
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+			<data auto_broadcast="numpy"/>
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+				<attribute name="fused_names" version="0" value="block2c_add_res1/add"/>
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+			</output>
+		</layer>
+		<layer id="242" name="block3a_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="144, 24, 1, 1" offset="118080" size="13824"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
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+					<dim>144</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="243" name="block3a_expand_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_expand_conv_res1/convolution"/>
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+			</output>
+		</layer>
+		<layer id="245" name="block3a_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
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+			</output>
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+				<attribute name="fused_names" version="0" value="block3a_expand_activation_res1/Sigmoid, block3a_expand_activation_res1/mul"/>
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+		<layer id="250" name="block3a_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
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+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="251" name="block3a_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_activation_res1/Sigmoid, block3a_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="block3a_se_squeeze_res1/MeanGather2954438083" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_squeeze_res1/MeanGather2954438083"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="block3a_se_squeeze_res1/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_squeeze_res1/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_squeeze_res1/Mean:0">
+					<dim>1</dim>
+					<dim>144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="block3a_se_reshape_res1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I32" names="block3a_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="block3a_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3a_se_reshape_res1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="block3a_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3a_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="block3a_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3a_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="block3a_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/strided_slice, block3a_se_reshape_res1/strided_slice/stack, block3a_se_reshape_res1/strided_slice/stack_1, block3a_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			<output>
+				<port id="4" precision="I32" names="block3a_se_reshape_res1/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="259" name="block3a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="block3a_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape/Unsqueeze, block3a_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1923" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1923"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1925" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1925"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1927" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="55020" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape/Unsqueeze1927"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="block3a_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/shape, block3a_se_reshape_res1/Reshape/shape/Unsqueeze1923, block3a_se_reshape_res1/Reshape/shape/Unsqueeze1925, block3a_se_reshape_res1/Reshape/shape/Unsqueeze1927"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
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+			<output>
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+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="265" name="block3a_se_reshape_res1/Reshape/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/Cast_1"/>
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+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I64" names="block3a_se_reshape_res1/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="block3a_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				</port>
+				<port id="1" precision="I64">
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="267" name="Constant_6152" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="55024" size="32"/>
+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+			</output>
+		</layer>
+		<layer id="268" name="block3a_se_reshape_res1/Reshape/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reshape_res1/Reshape/Transpose"/>
+			</rt_info>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="block3a_se_reduce_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="6, 144, 1, 1" offset="147456" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reduce_res1/kernel/read"/>
+			</rt_info>
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+					<dim>6</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="block3a_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reduce_res1/convolution"/>
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+				<port id="1" precision="FP32">
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+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_reduce_res1/convolution:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="block3a_se_reduce_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 6, 1, 1" offset="150912" size="24"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reduce_res1/bias/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3a_se_reduce_res1/bias/read:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="block3a_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reduce_res1/BiasAdd/Add"/>
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+					<dim>1</dim>
+					<dim>1</dim>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_reduce_res1/BiasAdd:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="273" name="block3a_se_reduce_swish_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_reduce_swish_res1/Sigmoid, block3a_se_reduce_swish_res1/mul"/>
+			</rt_info>
+			<input>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block3a_se_reduce_swish_res1/mul:0">
+					<dim>1</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="274" name="block3a_se_expand_res1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="144, 6, 1, 1" offset="150936" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_expand_res1/kernel/read"/>
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+					<dim>144</dim>
+					<dim>6</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="block3a_se_expand_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_expand_res1/convolution"/>
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+					<dim>6</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_expand_res1/convolution:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="block3a_se_expand_res1/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 144, 1, 1" offset="154392" size="576"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_expand_res1/bias/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3a_se_expand_res1/bias/read:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="block3a_se_expand_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_expand_res1/BiasAdd/Add"/>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_expand_res1/BiasAdd:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="block3a_se_expand_res1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_expand_res1/Sigmoid"/>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block3a_se_expand_res1/Sigmoid:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="block3a_se_excite_res1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_se_excite_res1/mul"/>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_se_excite_res1/mul:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="280" name="block3a_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="48, 144, 1, 1" offset="154968" size="27648"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3a_project_conv_res1/kernel/read:0">
+					<dim>48</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="281" name="block3a_project_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_project_conv_res1/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>48</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="282" name="data_add_2008820093" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 48, 1, 1" offset="182616" size="192"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2008820093"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="283" name="block3a_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3a_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3a_project_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="284" name="block3b_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="288, 48, 1, 1" offset="182808" size="55296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_expand_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3b_expand_conv_res1/kernel/read:0">
+					<dim>288</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="285" name="block3b_expand_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_expand_conv_res1/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>288</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="286" name="data_add_2009620101" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 288, 1, 1" offset="238104" size="1152"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2009620101"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="287" name="block3b_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3b_expand_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="288" name="block3b_expand_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_expand_activation_res1/Sigmoid, block3b_expand_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block3b_expand_activation_res1/mul:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="block3b_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="288, 1, 1, 5, 5" offset="239256" size="28800"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3b_dwconv_res1/depthwise_kernel/read:0">
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5</dim>
+					<dim>5</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="290" name="block3b_dwconv_res1/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_dwconv_res1/depthwise"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>5</dim>
+					<dim>5</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="data_add_2010420109" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 288, 1, 1" offset="268056" size="1152"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2010420109"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="292" name="block3b_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3b_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="293" name="block3b_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_activation_res1/Sigmoid, block3b_activation_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="294" name="block3b_se_squeeze_res1/MeanGather2956438119" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_squeeze_res1/MeanGather2956438119"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="295" name="block3b_se_squeeze_res1/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_squeeze_res1/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3b_se_squeeze_res1/Mean:0">
+					<dim>1</dim>
+					<dim>288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="296" name="block3b_se_reshape_res1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32" names="block3b_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="297" name="block3b_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3b_se_reshape_res1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="298" name="block3b_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3b_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="299" name="block3b_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3b_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="300" name="block3b_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/strided_slice, block3b_se_reshape_res1/strided_slice/stack, block3b_se_reshape_res1/strided_slice/stack_1, block3b_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			<output>
+				<port id="4" precision="I32" names="block3b_se_reshape_res1/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="301" name="block3b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="302" name="block3b_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape/Unsqueeze, block3b_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="303" name="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2031" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2031"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2033" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2033"/>
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+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="305" name="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2035" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="269208" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape/Unsqueeze2035"/>
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="306" name="block3b_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/shape, block3b_se_reshape_res1/Reshape/shape/Unsqueeze2031, block3b_se_reshape_res1/Reshape/shape/Unsqueeze2033, block3b_se_reshape_res1/Reshape/shape/Unsqueeze2035"/>
+			</rt_info>
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+		</layer>
+		<layer id="307" name="block3b_se_reshape_res1/Reshape/Cast_1" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/Cast_1"/>
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+			<output>
+				<port id="1" precision="I64" names="block3b_se_reshape_res1/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="block3b_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape"/>
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+			</output>
+		</layer>
+		<layer id="309" name="Constant_6162" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
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+			</output>
+		</layer>
+		<layer id="310" name="block3b_se_reshape_res1/Reshape/Transpose" type="Reshape" version="opset1">
+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reshape_res1/Reshape/Transpose"/>
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+				</port>
+			</output>
+		</layer>
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+				</port>
+			</output>
+		</layer>
+		<layer id="312" name="block3b_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
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+				</port>
+			</output>
+		</layer>
+		<layer id="313" name="block3b_se_reduce_res1/bias/read" type="Const" version="opset1">
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+			</output>
+		</layer>
+		<layer id="314" name="block3b_se_reduce_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reduce_res1/BiasAdd/Add"/>
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+			</output>
+		</layer>
+		<layer id="315" name="block3b_se_reduce_swish_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_reduce_swish_res1/Sigmoid, block3b_se_reduce_swish_res1/mul"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="block3b_se_expand_res1/kernel/read" type="Const" version="opset1">
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+			<rt_info>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="317" name="block3b_se_expand_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data element_type="f32" shape="1, 288, 1, 1" offset="296940" size="1152"/>
+			<rt_info>
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+			</output>
+		</layer>
+		<layer id="319" name="block3b_se_expand_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_expand_res1/BiasAdd/Add"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="block3b_se_expand_res1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_expand_res1/Sigmoid"/>
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+			</output>
+		</layer>
+		<layer id="321" name="block3b_se_excite_res1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_se_excite_res1/mul"/>
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+			</output>
+		</layer>
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+			<data element_type="f32" shape="48, 288, 1, 1" offset="298092" size="55296"/>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+		<layer id="325" name="block3b_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
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+				<port id="2" precision="FP32" names="block3b_project_bn_res1/FusedBatchNorm_1:0,lambda_4_res1/Identity:0">
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3b_add_res1/add"/>
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+					<dim>1</dim>
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+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+		<layer id="330" name="block3c_expand_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
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+			<data strides="1, 1" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
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+				<attribute name="fused_names" version="0" value="data_add_2012820133"/>
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+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="block3c_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3c_bn_res1/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="336" name="block3c_activation_res1/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_activation_res1/Sigmoid, block3c_activation_res1/mul"/>
+			</rt_info>
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+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="337" name="block3c_se_squeeze_res1/MeanGather2956038521" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_squeeze_res1/MeanGather2956038521"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="338" name="block3c_se_squeeze_res1/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_squeeze_res1/Mean"/>
+			</rt_info>
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+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
+					<dim>288</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="339" name="block3c_se_reshape_res1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Shape"/>
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+			<output>
+				<port id="1" precision="I32" names="block3c_se_reshape_res1/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="block3c_se_reshape_res1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/strided_slice/stack"/>
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+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="341" name="block3c_se_reshape_res1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3c_se_reshape_res1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="342" name="block3c_se_reshape_res1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block3c_se_reshape_res1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="block3c_se_reshape_res1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/strided_slice, block3c_se_reshape_res1/strided_slice/stack, block3c_se_reshape_res1/strided_slice/stack_1, block3c_se_reshape_res1/strided_slice/stack_2"/>
+			</rt_info>
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+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		</layer>
+		<layer id="345" name="block3c_se_reshape_res1/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape/Unsqueeze, block3c_se_reshape_res1/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
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+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape/Unsqueeze1995"/>
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="347" name="block3c_se_reshape_res1/Reshape/shape/Unsqueeze1997" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape/Unsqueeze1997"/>
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+			<output>
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+					<dim>1</dim>
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+		</layer>
+		<layer id="348" name="block3c_se_reshape_res1/Reshape/shape/Unsqueeze1999" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="269208" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape/Unsqueeze1999"/>
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+			<output>
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+		</layer>
+		<layer id="349" name="block3c_se_reshape_res1/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/shape, block3c_se_reshape_res1/Reshape/shape/Unsqueeze1995, block3c_se_reshape_res1/Reshape/shape/Unsqueeze1997, block3c_se_reshape_res1/Reshape/shape/Unsqueeze1999"/>
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+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/Cast_1"/>
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+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="351" name="block3c_se_reshape_res1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape"/>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reshape_res1/Reshape/Transpose"/>
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+			<rt_info>
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="355" name="block3c_se_reduce_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+			<output>
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+			</output>
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+					<dim>1</dim>
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+		</layer>
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reduce_res1/BiasAdd/Add"/>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_reduce_swish_res1/Sigmoid, block3c_se_reduce_swish_res1/mul"/>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="360" name="block3c_se_expand_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="362" name="block3c_se_expand_res1/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_expand_res1/BiasAdd/Add"/>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="363" name="block3c_se_expand_res1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_expand_res1/Sigmoid"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block3c_se_expand_res1/Sigmoid:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="364" name="block3c_se_excite_res1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_se_excite_res1/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3c_se_excite_res1/mul:0">
+					<dim>1</dim>
+					<dim>288</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="365" name="block3c_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="48, 288, 1, 1" offset="468828" size="55296"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_project_bn_res1/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block3c_project_conv_res1/kernel/read:0">
+					<dim>48</dim>
+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="block3c_project_conv_res1/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_project_conv_res1/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
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+				<port id="1" precision="FP32">
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+					<dim>288</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="367" name="data_add_2013620141" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 48, 1, 1" offset="524124" size="192"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2013620141"/>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="368" name="block3c_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_project_bn_res1/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3c_project_bn_res1/FusedBatchNorm_1:0,lambda_5_res1/Identity:0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="block3c_add_res1/add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block3c_add_res1/add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block3c_add_res1/add:0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="370" name="input_res2/AvgPool" type="AvgPool" version="opset1">
+			<data kernel="2, 2" strides="2, 2" pads_begin="0, 0" pads_end="0, 0" exclude-pad="true" auto_pad="same_upper" rounding_type="floor"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="input_res2/AvgPool"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>256</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="input_res2/AvgPool:0">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="371" name="stem_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 3, 3, 3" offset="524316" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="stem_conv_res2/kernel/read:0">
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="372" name="stem_conv_res2/convolution" type="Convolution" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_conv_res2/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
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+					<dim>128</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>32</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="373" name="data_add_1988819893" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="527772" size="128"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1988819893"/>
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+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="374" name="stem_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>32</dim>
+					<dim>64</dim>
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+				</port>
+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="stem_bn_res2/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="375" name="stem_activation_res2/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="stem_activation_res2/Sigmoid, stem_activation_res2/mul"/>
+			</rt_info>
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+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="stem_activation_res2/mul:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="376" name="block1a_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="32, 1, 1, 3, 3" offset="527900" size="1152"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block1a_dwconv_res2/depthwise_kernel/read:0">
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="377" name="block1a_dwconv_res2/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_dwconv_res2/depthwise"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="378" name="data_add_1989619901" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 32, 1, 1" offset="529052" size="128"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1989619901"/>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="379" name="block1a_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="FP32">
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+					<dim>32</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block1a_bn_res2/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="380" name="block1a_activation_res2/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_activation_res2/Sigmoid, block1a_activation_res2/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="381" name="block1a_se_squeeze_res2/MeanGather2956838884" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_squeeze_res2/MeanGather2956838884"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="block1a_se_squeeze_res2/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_squeeze_res2/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
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+			<output>
+				<port id="2" precision="FP32" names="block1a_se_squeeze_res2/Mean:0">
+					<dim>1</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="383" name="block1a_se_reshape_res2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/Shape"/>
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+				<port id="0" precision="FP32">
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+					<dim>2</dim>
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+		</layer>
+		<layer id="384" name="block1a_se_reshape_res2/strided_slice/stack" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/strided_slice/stack"/>
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+					<dim>1</dim>
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+		</layer>
+		<layer id="385" name="block1a_se_reshape_res2/strided_slice/stack_1" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/strided_slice/stack_1"/>
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+			<output>
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+					<dim>1</dim>
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+		</layer>
+		<layer id="386" name="block1a_se_reshape_res2/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/strided_slice/stack_2"/>
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+			<output>
+				<port id="0" precision="I64" names="block1a_se_reshape_res2/strided_slice/stack_2:0">
+					<dim>1</dim>
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+		<layer id="387" name="block1a_se_reshape_res2/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
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+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/strided_slice, block1a_se_reshape_res2/strided_slice/stack, block1a_se_reshape_res2/strided_slice/stack_1, block1a_se_reshape_res2/strided_slice/stack_2"/>
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+		<layer id="388" name="block1a_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
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+					<dim>1</dim>
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+		<layer id="389" name="block1a_se_reshape_res2/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block1a_se_reshape_res2/Reshape/shape/Unsqueeze, block1a_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value"/>
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+					<dim>1</dim>
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+		<layer id="390" name="block1a_se_reshape_res2/Reshape/shape/Unsqueeze1959" type="Const" version="opset1">
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+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block2a_expand_activation_res2/mul:0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="block2a_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="96, 1, 1, 3, 3" offset="540028" size="3456"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2a_dwconv_res2/depthwise_kernel/read:0">
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="419" name="block2a_dwconv_res2/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="2, 2" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_dwconv_res2/depthwise"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
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+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>96</dim>
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+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="420" name="data_add_1992019925" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 96, 1, 1" offset="543484" size="384"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1992019925"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="block2a_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_bn_res2/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="422" name="block2a_activation_res2/mul" type="Swish" version="opset4">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_activation_res2/Sigmoid, block2a_activation_res2/mul"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="423" name="block2a_se_squeeze_res2/MeanGather2955638755" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_squeeze_res2/MeanGather2955638755"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="block2a_se_squeeze_res2/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_squeeze_res2/Mean"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_se_squeeze_res2/Mean:0">
+					<dim>1</dim>
+					<dim>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="425" name="block2a_se_reshape_res2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I32" names="block2a_se_reshape_res2/Shape:0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="426" name="block2a_se_reshape_res2/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res2/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="block2a_se_reshape_res2/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res2/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="428" name="block2a_se_reshape_res2/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="block2a_se_reshape_res2/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="429" name="block2a_se_reshape_res2/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/strided_slice, block2a_se_reshape_res2/strided_slice/stack, block2a_se_reshape_res2/strided_slice/stack_1, block2a_se_reshape_res2/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
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+					<dim>2</dim>
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+		<layer id="430" name="block2a_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="431" name="block2a_se_reshape_res2/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape/Unsqueeze, block2a_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
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+					<dim>1</dim>
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+			</output>
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+		<layer id="432" name="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1914" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1914"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="433" name="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1916" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="4956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1916"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="434" name="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1918" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22040" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape/Unsqueeze1918"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="435" name="block2a_se_reshape_res2/Reshape/shape" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/shape, block2a_se_reshape_res2/Reshape/shape/Unsqueeze1914, block2a_se_reshape_res2/Reshape/shape/Unsqueeze1916, block2a_se_reshape_res2/Reshape/shape/Unsqueeze1918"/>
+			</rt_info>
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+			</output>
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+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/Cast_1"/>
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+			<input>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="block2a_se_reshape_res2/Reshape/shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="437" name="block2a_se_reshape_res2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape"/>
+			</rt_info>
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+				<port id="1" precision="I64">
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+					<dim>1</dim>
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+			</output>
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+		<layer id="438" name="Constant_6192" type="Const" version="opset1">
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+			<output>
+				<port id="0" precision="I64">
+					<dim>4</dim>
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+			</output>
+		</layer>
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+			<data special_zero="true"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reshape_res2/Reshape/Transpose"/>
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+			</output>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reduce_res2/kernel/read"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="441" name="block2a_se_reduce_res2/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reduce_res2/convolution"/>
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+					<dim>96</dim>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2a_se_reduce_res2/convolution:0">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<rt_info>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="443" name="block2a_se_reduce_res2/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_reduce_res2/BiasAdd/Add"/>
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+					<dim>1</dim>
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+				<attribute name="fused_names" version="0" value="block2a_se_reduce_swish_res2/Sigmoid, block2a_se_reduce_swish_res2/mul"/>
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+					<dim>1</dim>
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+			</output>
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+			</output>
+		</layer>
+		<layer id="446" name="block2a_se_expand_res2/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
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+			</output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="448" name="block2a_se_expand_res2/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_expand_res2/BiasAdd/Add"/>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="449" name="block2a_se_expand_res2/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_expand_res2/Sigmoid"/>
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+			</output>
+		</layer>
+		<layer id="450" name="block2a_se_excite_res2/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_se_excite_res2/mul"/>
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+			</output>
+		</layer>
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+			</output>
+		</layer>
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+		<layer id="454" name="block2a_project_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2a_project_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
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+				<port id="2" precision="FP32" names="block2a_project_bn_res2/FusedBatchNorm_1:0">
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+					<dim>32</dim>
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="456" name="block2b_expand_conv_res2/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
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+			</output>
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+			</output>
+		</layer>
+		<layer id="458" name="block2b_expand_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_expand_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
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+			</input>
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+				<port id="2" precision="FP32" names="block2b_expand_bn_res2/FusedBatchNorm_1:0">
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+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="459" name="block2b_expand_activation_res2/mul" type="Swish" version="opset4">
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+				<attribute name="fused_names" version="0" value="block2b_expand_activation_res2/Sigmoid, block2b_expand_activation_res2/mul"/>
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+			</input>
+			<output>
+				<port id="1" precision="FP32" names="block2b_expand_activation_res2/mul:0">
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+					<dim>32</dim>
+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="460" name="block2b_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy" type="Const" version="opset1">
+			<data element_type="f32" shape="144, 1, 1, 3, 3" offset="571052" size="5184"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_bn_res2/FusedBatchNorm_1/mean/Fused_Mul__copy"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="block2b_dwconv_res2/depthwise_kernel/read:0">
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+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="461" name="block2b_dwconv_res2/depthwise" type="GroupConvolution" version="opset1">
+			<data strides="1, 1" pads_begin="0, 0" pads_end="0, 0" dilations="1, 1" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_dwconv_res2/depthwise"/>
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
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+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="data_add_1994419949" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_1994419949"/>
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+			</output>
+		</layer>
+		<layer id="463" name="block2b_bn_res2/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_bn_res2/FusedBatchNorm_1/variance/Fused_Add_"/>
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+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="block2b_bn_res2/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_activation_res2/Sigmoid, block2b_activation_res2/mul"/>
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+					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
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+			</output>
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+			<data element_type="i64" shape="2" offset="4924" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_squeeze_res2/MeanGather2954038821"/>
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+			<output>
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+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="466" name="block2b_se_squeeze_res2/Mean" type="ReduceMean" version="opset1">
+			<data keep_dims="false"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_squeeze_res2/Mean"/>
+			</rt_info>
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+				<port id="1" precision="I64">
+					<dim>2</dim>
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+			<output>
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+					<dim>144</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="467" name="block2b_se_reshape_res2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res2/Shape"/>
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+				<port id="1" precision="I32" names="block2b_se_reshape_res2/Shape:0">
+					<dim>2</dim>
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+		</layer>
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+			<rt_info>
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+					<dim>1</dim>
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+			<rt_info>
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="470" name="block2b_se_reshape_res2/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res2/strided_slice/stack_2"/>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="471" name="block2b_se_reshape_res2/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
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+				<attribute name="fused_names" version="0" value="block2b_se_reshape_res2/strided_slice, block2b_se_reshape_res2/strided_slice/stack, block2b_se_reshape_res2/strided_slice/stack_1, block2b_se_reshape_res2/strided_slice/stack_2"/>
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+		<layer id="472" name="block2b_se_reshape_res2/Reshape/shape/Unsqueeze_input_port_1/value" type="Const" version="opset1">
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+		<layer id="473" name="block2b_se_reshape_res2/Reshape/shape/Unsqueeze" type="Unsqueeze" version="opset1">
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+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="800" name="data_add_2035220357" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 48, 1, 1" offset="2715284" size="192"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="data_add_2035220357"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="801" name="pass3_block1_mbconv3_detection2_conv2_bn/FusedBatchNorm_1/variance/Fused_Add_" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv3_detection2_conv2_bn/FusedBatchNorm_1/variance/Fused_Add_"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="pass3_block1_mbconv3_detection2_conv2_bn/FusedBatchNorm_1:0">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="802" name="pass3_block1_mbconv3_detection2_dense/concat" type="Concat" version="opset1">
+			<data axis="1"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_block1_mbconv3_detection2_dense/concat"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>48</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>96</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="pass3_block1_mbconv3_detection2_dense/concat:0">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="803" name="pass3_detection2_confs/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 144, 1, 1" offset="2715476" size="9216"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_detection2_confs/kernel/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_detection2_confs/kernel/read:0">
+					<dim>16</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="804" name="pass3_detection2_confs/convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_upper"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_detection2_confs/convolution"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>144</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>144</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="pass3_detection2_confs/convolution:0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="805" name="pass3_detection2_confs/bias/read" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 16, 1, 1" offset="2724692" size="64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_detection2_confs/bias/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="pass3_detection2_confs/bias/read:0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="806" name="pass3_detection2_confs/BiasAdd/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="pass3_detection2_confs/BiasAdd/Add"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="pass3_detection2_confs/BiasAdd:0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="807" name="upscaled_deconv1/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 16, 4, 4" offset="2724756" size="16384"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/kernel/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="upscaled_deconv1/kernel/read:0">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="808" name="upscaled_deconv1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="809" name="upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_1/value2654138914" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="2741140" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_1/value2654138914"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="810" name="upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_2/value2654338266" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_2/value2654338266"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="811" name="upscaled_deconv1/Shape/GatherNCHWtoNHWC" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/Shape/GatherNCHWtoNHWC, upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_1/value2654138914, upscaled_deconv1/Shape/GatherNCHWtoNHWC_input_port_2/value2654338266"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64"/>
+			</input>
+			<output>
+				<port id="3" precision="I32" names="upscaled_deconv1/Shape:0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="812" name="upscaled_deconv1/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="813" name="upscaled_deconv1/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="814" name="upscaled_deconv1/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="815" name="upscaled_deconv1/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice, upscaled_deconv1/strided_slice/stack, upscaled_deconv1/strided_slice/stack_1, upscaled_deconv1/strided_slice/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="upscaled_deconv1/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="816" name="upscaled_deconv1/stack/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="817" name="upscaled_deconv1/stack/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze, upscaled_deconv1/stack/Unsqueeze_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="818" name="upscaled_deconv1/strided_slice_1/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_1/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice_1/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="819" name="upscaled_deconv1/strided_slice_1/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741156" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_1/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice_1/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="820" name="upscaled_deconv1/strided_slice_1/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_1/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice_1/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="821" name="upscaled_deconv1/strided_slice_1" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_1, upscaled_deconv1/strided_slice_1/stack, upscaled_deconv1/strided_slice_1/stack_1, upscaled_deconv1/strided_slice_1/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="upscaled_deconv1/strided_slice_1:0"/>
+			</output>
+		</layer>
+		<layer id="822" name="upscaled_deconv1/mul/y" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="2741164" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/mul/y"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32" names="upscaled_deconv1/mul/y:0"/>
+			</output>
+		</layer>
+		<layer id="823" name="upscaled_deconv1/mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/mul, upscaled_deconv1/mul/y"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I32"/>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="upscaled_deconv1/mul:0"/>
+			</output>
+		</layer>
+		<layer id="824" name="upscaled_deconv1/stack/Unsqueeze2022_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze2022_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="825" name="upscaled_deconv1/stack/Unsqueeze2022" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze2022, upscaled_deconv1/stack/Unsqueeze2022_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="826" name="upscaled_deconv1/strided_slice_2/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741156" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_2/stack"/>
+			</rt_info>
+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="827" name="upscaled_deconv1/strided_slice_2/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741168" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_2/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice_2/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="828" name="upscaled_deconv1/strided_slice_2/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_2/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv1/strided_slice_2/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="829" name="upscaled_deconv1/strided_slice_2" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/strided_slice_2, upscaled_deconv1/strided_slice_2/stack, upscaled_deconv1/strided_slice_2/stack_1, upscaled_deconv1/strided_slice_2/stack_2"/>
+			</rt_info>
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+				<port id="0" precision="I32">
+					<dim>4</dim>
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+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			</input>
+			<output>
+				<port id="4" precision="I32" names="upscaled_deconv1/strided_slice_2:0"/>
+			</output>
+		</layer>
+		<layer id="830" name="upscaled_deconv1/mul_1/y" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="2741164" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/mul_1/y"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32" names="upscaled_deconv1/mul_1/y:0"/>
+			</output>
+		</layer>
+		<layer id="831" name="upscaled_deconv1/mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/mul_1, upscaled_deconv1/mul_1/y"/>
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+				<port id="1" precision="I32"/>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="upscaled_deconv1/mul_1:0"/>
+			</output>
+		</layer>
+		<layer id="832" name="upscaled_deconv1/stack/Unsqueeze2024_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze2024_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="833" name="upscaled_deconv1/stack/Unsqueeze2024" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze2024, upscaled_deconv1/stack/Unsqueeze2024_input_port_1/value"/>
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="834" name="upscaled_deconv1/stack/Unsqueeze2026" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack/Unsqueeze2026"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="835" name="upscaled_deconv1/stack" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/stack, upscaled_deconv1/stack/Unsqueeze2026"/>
+			</rt_info>
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+					<dim>1</dim>
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+				<port id="2" precision="I32">
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+				<port id="3" precision="I32">
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+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="836" name="upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2657138371" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="2741176" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2657138371"/>
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+				<port id="0" precision="I32">
+					<dim>4</dim>
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+			<rt_info>
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+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="838" name="upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW, upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2657138371, upscaled_deconv1/conv2d_transpose/GatherNHWCtoNCHW_input_port_2/value2657339058"/>
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+			</output>
+		</layer>
+		<layer id="839" name="upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_1/value3561738566" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741156" size="8"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="840" name="upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_2/value3561939100" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741192" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_2/value3561939100"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="841" name="upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_3/value3562139127" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_3/value3562139127"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="842" name="upscaled_deconv1/conv2d_transpose/ss_0_port" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="1" new_axis_mask="0" shrink_axis_mask="0" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/ss_0_port, upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_1/value3561738566, upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_2/value3561939100, upscaled_deconv1/conv2d_transpose/ss_0_port_input_port_3/value3562139127"/>
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+			</output>
+		</layer>
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+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv1/conv2d_transpose/Cast_2"/>
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+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_lower" output_padding="0, 0"/>
+			<rt_info>
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+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="upscaled_deconv1/BiasAdd:0,upscaled_deconv1/conv2d_transpose:0">
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+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
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+			<rt_info>
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+			</rt_info>
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+					<dim>4</dim>
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+			</output>
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+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/Shape"/>
+			</rt_info>
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+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
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+			</output>
+		</layer>
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+			<data element_type="i32" shape="4" offset="2741140" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/Shape/GatherNCHWtoNHWC_input_port_1/value2654738101"/>
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+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
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+		</layer>
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+			<rt_info>
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+			<output>
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+			</output>
+		</layer>
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+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/Shape/GatherNCHWtoNHWC, upscaled_deconv2/Shape/GatherNCHWtoNHWC_input_port_1/value2654738101, upscaled_deconv2/Shape/GatherNCHWtoNHWC_input_port_2/value2654938131"/>
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+					<dim>1</dim>
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+			</output>
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+			<rt_info>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
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+					<dim>1</dim>
+				</port>
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+		<layer id="853" name="upscaled_deconv2/strided_slice" type="StridedSlice" version="opset1">
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+			<data auto_broadcast="numpy"/>
+			<rt_info>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/stack/Unsqueeze2004, upscaled_deconv2/stack/Unsqueeze2004_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="864" name="upscaled_deconv2/strided_slice_2/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741156" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/strided_slice_2/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv2/strided_slice_2/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="865" name="upscaled_deconv2/strided_slice_2/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741168" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/strided_slice_2/stack_1"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv2/strided_slice_2/stack_1:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="866" name="upscaled_deconv2/strided_slice_2/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/strided_slice_2/stack_2"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_deconv2/strided_slice_2/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="867" name="upscaled_deconv2/strided_slice_2" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/strided_slice_2, upscaled_deconv2/strided_slice_2/stack, upscaled_deconv2/strided_slice_2/stack_1, upscaled_deconv2/strided_slice_2/stack_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
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+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32" names="upscaled_deconv2/strided_slice_2:0"/>
+			</output>
+		</layer>
+		<layer id="868" name="upscaled_deconv2/mul_1/y" type="Const" version="opset1">
+			<data element_type="i32" shape="" offset="2741164" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/mul_1/y"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32" names="upscaled_deconv2/mul_1/y:0"/>
+			</output>
+		</layer>
+		<layer id="869" name="upscaled_deconv2/mul_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/mul_1, upscaled_deconv2/mul_1/y"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I32"/>
+			</input>
+			<output>
+				<port id="2" precision="I32" names="upscaled_deconv2/mul_1:0"/>
+			</output>
+		</layer>
+		<layer id="870" name="upscaled_deconv2/stack/Unsqueeze2006_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/stack/Unsqueeze2006_input_port_1/value"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="871" name="upscaled_deconv2/stack/Unsqueeze2006" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/stack/Unsqueeze2006, upscaled_deconv2/stack/Unsqueeze2006_input_port_1/value"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32"/>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="872" name="upscaled_deconv2/stack/Unsqueeze2008" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="9956" size="4"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/stack/Unsqueeze2008"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="873" name="upscaled_deconv2/stack" type="Concat" version="opset1">
+			<data axis="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/stack, upscaled_deconv2/stack/Unsqueeze2008"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I32">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="874" name="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2655938716" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="2741176" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2655938716"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="875" name="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_2/value2656138056" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_2/value2656138056"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="876" name="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW, upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_1/value2655938716, upscaled_deconv2/conv2d_transpose/GatherNHWCtoNCHW_input_port_2/value2656138056"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
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+				<port id="1" precision="I32">
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+				<port id="2" precision="I64"/>
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="877" name="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_1/value3560938299" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741156" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_1/value3560938299"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="878" name="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_2/value3561138995" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2741192" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_2/value3561138995"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="879" name="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_3/value3561339223" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_3/value3561339223"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="880" name="upscaled_deconv2/conv2d_transpose/ss_0_port" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="1" new_axis_mask="0" shrink_axis_mask="0" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/ss_0_port, upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_1/value3560938299, upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_2/value3561138995, upscaled_deconv2/conv2d_transpose/ss_0_port_input_port_3/value3561339223"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
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+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="881" name="upscaled_deconv2/conv2d_transpose/Cast_2" type="Convert" version="opset1">
+			<data destination_type="i64"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/conv2d_transpose/Cast_2"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="882" name="upscaled_deconv2/conv2d_transpose" type="ConvolutionBackpropData" version="opset1">
+			<data strides="2, 2" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="same_lower" output_padding="0, 0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_deconv2/BiasAdd/Add, upscaled_deconv2/conv2d_transpose"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="upscaled_deconv2/BiasAdd:0,upscaled_deconv2/conv2d_transpose:0">
+					<dim>1</dim>
+					<dim>16</dim>
+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="883" name="upscaled_confs/kernel/read" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 16, 4, 4" offset="2724756" size="16384"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/kernel/read"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="upscaled_confs/kernel/read:0">
+					<dim>16</dim>
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="884" name="upscaled_confs/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i32"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/Shape"/>
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>128</dim>
+					<dim>128</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="885" name="upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_1/value2655338317" type="Const" version="opset1">
+			<data element_type="i32" shape="4" offset="2741140" size="16"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_1/value2655338317"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="886" name="upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_2/value2655539088" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_2/value2655539088"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64"/>
+			</output>
+		</layer>
+		<layer id="887" name="upscaled_confs/Shape/GatherNCHWtoNHWC" type="Gather" version="opset8">
+			<data batch_dims="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/Shape/GatherNCHWtoNHWC, upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_1/value2655338317, upscaled_confs/Shape/GatherNCHWtoNHWC_input_port_2/value2655539088"/>
+			</rt_info>
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+				<port id="0" precision="I32">
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+				<port id="1" precision="I32">
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+				<port id="2" precision="I64"/>
+			</input>
+			<output>
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+					<dim>4</dim>
+				</port>
+			</output>
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+		<layer id="888" name="upscaled_confs/strided_slice/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/strided_slice/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_confs/strided_slice/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="889" name="upscaled_confs/strided_slice/stack_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/strided_slice/stack_1"/>
+			</rt_info>
+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="890" name="upscaled_confs/strided_slice/stack_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/strided_slice/stack_2"/>
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+			<output>
+				<port id="0" precision="I64" names="upscaled_confs/strided_slice/stack_2:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="891" name="upscaled_confs/strided_slice" type="StridedSlice" version="opset1">
+			<data begin_mask="0" end_mask="0" new_axis_mask="0" shrink_axis_mask="1" ellipsis_mask="0"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/strided_slice, upscaled_confs/strided_slice/stack, upscaled_confs/strided_slice/stack_1, upscaled_confs/strided_slice/stack_2"/>
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+				<port id="2" precision="I64">
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+				<port id="3" precision="I64">
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+			<output>
+				<port id="4" precision="I32" names="upscaled_confs/strided_slice:0"/>
+			</output>
+		</layer>
+		<layer id="892" name="upscaled_confs/stack/Unsqueeze_input_port_1/value" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4940" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/stack/Unsqueeze_input_port_1/value"/>
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="893" name="upscaled_confs/stack/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/stack/Unsqueeze, upscaled_confs/stack/Unsqueeze_input_port_1/value"/>
+			</rt_info>
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+				<port id="1" precision="I64">
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+			<output>
+				<port id="2" precision="I32">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="894" name="upscaled_confs/strided_slice_1/stack" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="4948" size="8"/>
+			<rt_info>
+				<attribute name="fused_names" version="0" value="upscaled_confs/strided_slice_1/stack"/>
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="upscaled_confs/strided_slice_1/stack:0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+		<Runtime_version value="2022.1.0-7019-cdb9bec7210-releases/2022/1"/>
+		<legacy_path value="True"/>
+		<cli_parameters>
+			<batch value="1"/>
+			<caffe_parser_path value="DIR"/>
+			<compress_fp16 value="False"/>
+			<data_type value="FP32"/>
+			<disable_nhwc_to_nchw value="False"/>
+			<disable_omitting_optional value="False"/>
+			<disable_resnet_optimization value="False"/>
+			<disable_weights_compression value="False"/>
+			<enable_concat_optimization value="False"/>
+			<enable_flattening_nested_params value="False"/>
+			<enable_ssd_gluoncv value="False"/>
+			<extensions value="DIR"/>
+			<framework value="tf"/>
+			<freeze_placeholder_with_value value="{}"/>
+			<input value="input_res1"/>
+			<input_model value="DIR\EfficientPoseI.pb"/>
+			<input_model_is_text value="False"/>
+			<k value="DIR\CustomLayersMapping.xml"/>
+			<layout value="()"/>
+			<layout_values value="{}"/>
+			<legacy_mxnet_model value="False"/>
+			<log_level value="ERROR"/>
+			<mean_scale_values value="{'input_res1': {'mean': array([123.675, 116.28 , 103.53 ]), 'scale': array([58.395, 57.12 , 57.375])}}"/>
+			<mean_values value="input_res1[123.675, 116.28, 103.53]"/>
+			<model_name value="EfficientPoseI-fp32"/>
+			<output value="['upscaled_confs/BiasAdd']"/>
+			<output_dir value="DIR"/>
+			<packed_user_shapes value="defaultdict(&lt;class 'list'&gt;, {'input_res1': [{'shape': None, 'port': None, 'added': True}]})"/>
+			<placeholder_data_types value="{}"/>
+			<placeholder_shapes value="{'input_res1': None}"/>
+			<progress value="True"/>
+			<remove_memory value="False"/>
+			<remove_output_softmax value="False"/>
+			<reverse_input_channels value="False"/>
+			<save_params_from_nd value="False"/>
+			<scale_values value="input_res1[58.395, 57.120, 57.375]"/>
+			<silent value="False"/>
+			<source_layout value="()"/>
+			<static_shape value="False"/>
+			<stream_output value="False"/>
+			<target_layout value="()"/>
+			<transform value=""/>
+			<use_legacy_frontend value="False"/>
+			<use_new_frontend value="False"/>
+			<unset unset_cli_parameters="counts, disable_fusing, finegrain_fusing, input_checkpoint, input_meta_graph, input_proto, input_shape, input_symbol, mean_file, mean_file_offsets, nd_prefix_name, pretrained_model_name, saved_model_dir, saved_model_tags, scale, tensorboard_logdir, tensorflow_custom_layer_libraries, tensorflow_custom_operations_config_update, tensorflow_object_detection_api_pipeline_config, tensorflow_use_custom_operations_config, transformations_config"/>
+		</cli_parameters>
+	</meta_data>
+</net>