diff --git "a/deepfilternet3/enc.xml" "b/deepfilternet3/enc.xml"
new file mode 100644--- /dev/null
+++ "b/deepfilternet3/enc.xml"
@@ -0,0 +1,6127 @@
+<?xml version="1.0"?>
+<net name="torch_jit" version="11">
+	<layers>
+		<layer id="1" name="feat_erb" type="Parameter" version="opset1">
+			<data shape="1,1,3002,32" element_type="f32" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="feat_erb" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="feat_erb">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="feat_spec" type="Parameter" version="opset1">
+			<data shape="1,2,3002,96" element_type="f32" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="feat_spec" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="feat_spec">
+					<dim>1</dim>
+					<dim>2</dim>
+					<dim>3002</dim>
+					<dim>96</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="lsnr_fc.0.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="1" offset="0" size="4" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="lsnr_fc.0.bias" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="lsnr_fc.0.bias">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="/erb_conv0/0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="4" size="32" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Constant_28" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_28" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="5" name="/erb_conv0/0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="44" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="/erb_conv0/0/ConstantOfShape" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant, /erb_conv0/0/ConstantOfShape, Constant_28" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/erb_conv0/0/ConstantOfShape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="/erb_conv0/0/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Concat, /erb_conv0/0/Constant_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/erb_conv0/0/Concat_output_0">
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="/erb_conv0/0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="52" size="16" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_2" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_2_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="/erb_conv0/0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_2, /erb_conv0/0/Reshape" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/erb_conv0/0/Reshape_output_0">
+					<dim>4</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="/erb_conv0/0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_4" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="/erb_conv0/0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="76" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_5" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="/erb_conv0/0/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_6" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_6_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="/erb_conv0/0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_3" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/erb_conv0/0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="/erb_conv0/0/Slice" type="Slice" version="opset8">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_3, /erb_conv0/0/Constant_4, /erb_conv0/0/Constant_5, /erb_conv0/0/Constant_6, /erb_conv0/0/Slice" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+					<dim>2</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>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/erb_conv0/0/Slice_output_0">
+					<dim>4</dim>
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Constant_38" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="84" size="16" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_38" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="/erb_conv0/0/Transpose" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Transpose, Constant_38" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/erb_conv0/0/Transpose_output_0">
+					<dim>2</dim>
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="Constant_982" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Reshape_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="/erb_conv0/0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Reshape_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+					<dim>4</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/erb_conv0/0/Reshape_1_output_0">
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="/erb_conv0/0/Cast" type="Convert" version="opset1">
+			<data destination_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Cast" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>8</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/erb_conv0/0/Cast_output_0">
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="Constant_44" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_44" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="21" name="Split_45" type="Split" version="opset1">
+			<data num_splits="2" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_44, Split_45" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>8</dim>
+				</port>
+				<port id="1" precision="I64" />
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="/erb_conv0/0/Constant_8" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100" size="4" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Constant_8" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="/erb_conv0/0/Constant_8_output_0" />
+			</output>
+		</layer>
+		<layer id="23" name="/erb_conv0/0/Pad" type="Pad" version="opset12">
+			<data pad_mode="constant" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/0/Pad" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>4</dim>
+				</port>
+				<port id="3" precision="FP32" />
+			</input>
+			<output>
+				<port id="4" precision="FP32" names="/erb_conv0/0/Pad_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3004</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="onnx::Conv_282" type="Const" version="opset1">
+			<data element_type="f32" shape="64, 1, 3, 3" offset="104" size="2304" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Conv_282" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_282">
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="/erb_conv0/1/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 1" pads_end="0, 1" auto_pad="explicit" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/erb_conv0/1/Conv/WithoutBiases" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>3004</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>3002</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="onnx::Conv_283" type="Const" version="opset1">
+			<data element_type="f32" shape="64" offset="2408" size="256" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Conv_283" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_283">
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_54" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_54" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="ShapeOf_61" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2672" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_61" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="ShapeOf_52" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_52" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>3002</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="ShapeOf_53" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="ShapeOf_53" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_55" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2680" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_55" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="Subtract_56" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_55, Subtract_56" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Broadcast_57" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Broadcast_57, Constant_54" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="Concat_62" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Concat_62, Constant_54, ShapeOf_61" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>2</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Reshape_63" type="Reshape" version="opset1">
+			<data special_zero="false" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Reshape_63" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
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+			</output>
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+		</layer>
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+				<attribute name="fused_names" version="0" value="Reshape_142" />
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+			</output>
+		</layer>
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+					<dim>1</dim>
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+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/erb_conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>64</dim>
+					<dim>3002</dim>
+					<dim>8</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="72" name="onnx::Conv_288" type="Const" version="opset1">
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::Conv_288" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_288">
+					<dim>64</dim>
+					<dim>64</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="73" name="/erb_conv2/Conv_1/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
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+					<dim>3002</dim>
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+			</output>
+		</layer>
+		<layer id="74" name="onnx::Conv_289" type="Const" version="opset1">
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+			<rt_info>
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+			<output>
+				<port id="0" precision="FP32" names="onnx::Conv_289">
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+				</port>
+			</output>
+		</layer>
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+				<attribute name="fused_names" version="0" value="Constant_187, Subtract_188" />
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+			<data mode="numpy" />
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+				<attribute name="fused_names" version="0" value="Broadcast_189, Constant_186" />
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+			</output>
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+					<dim>1</dim>
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+			<data auto_broadcast="numpy" m_pythondiv="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_295, Divide_298" />
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+			<data axis="0" />
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+				<attribute name="fused_names" version="0" value="Concat_299, Constant_295" />
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+			</output>
+		</layer>
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+			<data special_zero="false" />
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+				<attribute name="fused_names" version="0" value="Reshape_300" />
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+			</output>
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+				<attribute name="fused_names" version="0" value="Constant_361, Divide_364" />
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+		</layer>
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+			<data axis="0" />
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+				<attribute name="fused_names" version="0" value="Concat_365, Constant_361" />
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+			</output>
+		</layer>
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+			<data special_zero="false" />
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+				<attribute name="fused_names" version="0" value="Reshape_366" />
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+		</layer>
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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>
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+			<output>
+				<port id="3" precision="I64" names="/df_fc_emb/0/Gather_output_0" />
+			</output>
+		</layer>
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+				</port>
+			</output>
+		</layer>
+		<layer id="210" name="/df_fc_emb/0/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Unsqueeze, Constant_451" />
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+			</output>
+		</layer>
+		<layer id="211" name="Constant_63" type="Const" version="opset1">
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+				<attribute name="fused_names" version="0" value="Constant_63" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="onnx::Gather_133" />
+			</output>
+		</layer>
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+			<rt_info>
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+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
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+		<layer id="213" name="/df_fc_emb/0/Gather_1" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Gather_1, Constant_449, Constant_63" />
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+				<port id="3" precision="I64" names="/df_fc_emb/0/Gather_1_output_0" />
+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="215" name="/df_fc_emb/0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Unsqueeze_1, Constant_453" />
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="216" name="/df_fc_emb/0/Constant" type="Const" version="opset1">
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+			<rt_info>
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+			<output>
+				<port id="0" precision="I64" names="/df_fc_emb/0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="217" name="/df_fc_emb/0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="91384" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Constant_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/df_fc_emb/0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="/df_fc_emb/0/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Concat, /df_fc_emb/0/Constant, /df_fc_emb/0/Constant_1" />
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+				<port id="3" precision="I64">
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+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="219" name="/df_fc_emb/0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Reshape" />
+			</rt_info>
+			<input>
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+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
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+					<dim>1</dim>
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+					<dim>32</dim>
+					<dim>96</dim>
+				</port>
+			</output>
+		</layer>
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+			</output>
+		</layer>
+		<layer id="221" name="/df_fc_emb/0/Einsum" type="Einsum" version="opset7">
+			<data equation="btgi,gih->btgh" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Einsum" />
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+			</input>
+			<output>
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+					<dim>32</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="222" name="/df_fc_emb/0/Shape_1" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Shape_1" />
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+				<port id="1" precision="I64" names="/df_fc_emb/0/Shape_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="223" name="/df_fc_emb/0/Constant_3" type="Const" version="opset1">
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+			<rt_info>
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+			<output>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data element_type="i64" shape="1" offset="2680" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Constant_4" />
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+					<dim>1</dim>
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+			<rt_info>
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+			<output>
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+		<layer id="227" name="Broadcast_467" type="Broadcast" version="opset3">
+			<data mode="numpy" />
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+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Constant_3, Broadcast_467, Constant_465, ShapeOf_466" />
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+			<rt_info>
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+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="229" name="/df_fc_emb/0/Slice" type="Slice" version="opset8">
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+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Constant_2, /df_fc_emb/0/Constant_3, /df_fc_emb/0/Constant_4, /df_fc_emb/0/Slice" />
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+			<output>
+				<port id="5" precision="I64" names="/df_fc_emb/0/Slice_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="/df_fc_emb/0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
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+			</rt_info>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="231" name="/df_fc_emb/0/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Concat_1, /df_fc_emb/0/Constant_5" />
+			</rt_info>
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+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
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+			</input>
+			<output>
+				<port id="2" precision="I64" names="/df_fc_emb/0/Concat_1_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="/df_fc_emb/0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/0/Reshape_1" />
+			</rt_info>
+			<input>
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+					<dim>32</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/df_fc_emb/0/Reshape_1_output_0">
+					<dim>1</dim>
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+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="/df_fc_emb/1/Relu" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/df_fc_emb/1/Relu_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="234" name="/combine/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/combine/Add" />
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
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+			<output>
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+					<dim>1</dim>
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+					<dim>512</dim>
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+			</output>
+		</layer>
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+			<data output_type="i64" />
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+			<output>
+				<port id="1" precision="I64" names="/emb_gru/linear_in/0/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="236" name="Constant_92" type="Const" version="opset1">
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+				<attribute name="fused_names" version="0" value="Constant_92" />
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+				<port id="0" precision="I64" />
+			</output>
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+			<data batch_dims="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Gather, Constant_503, Constant_92" />
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+		<layer id="243" name="/emb_gru/linear_in/0/Gather_1" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Gather_1, Constant_506, Constant_94" />
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+			<output>
+				<port id="3" precision="I64" names="/emb_gru/linear_in/0/Gather_1_output_0" />
+			</output>
+		</layer>
+		<layer id="244" name="Constant_510" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_510" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="245" name="/emb_gru/linear_in/0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Unsqueeze_1, Constant_510" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/emb_gru/linear_in/0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="246" name="/emb_gru/linear_in/0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="288000" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="247" name="/emb_gru/linear_in/0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="91376" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="248" name="/emb_gru/linear_in/0/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Concat, /emb_gru/linear_in/0/Constant, /emb_gru/linear_in/0/Constant_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</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="I64" names="/emb_gru/linear_in/0/Concat_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="249" name="/emb_gru/linear_in/0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Reshape" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/linear_in/0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="emb_gru.linear_in.0.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 32, 16" offset="288008" size="32768" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="emb_gru.linear_in.0.weight" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="emb_gru.linear_in.0.weight">
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="251" name="/emb_gru/linear_in/0/Einsum" type="Einsum" version="opset7">
+			<data equation="btgi,gih->btgh" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Einsum" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>16</dim>
+					<dim>32</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/linear_in/0/Einsum_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="252" name="/emb_gru/linear_in/0/Shape_1" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Shape_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/emb_gru/linear_in/0/Shape_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="/emb_gru/linear_in/0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_3" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="254" name="/emb_gru/linear_in/0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2680" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_4" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="255" name="Constant_522" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_522" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="256" name="ShapeOf_523" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_3, ShapeOf_523" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="Broadcast_524" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_3, Broadcast_524, Constant_522, ShapeOf_523" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="258" name="/emb_gru/linear_in/0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_2" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="259" name="/emb_gru/linear_in/0/Slice" type="Slice" version="opset8">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_2, /emb_gru/linear_in/0/Constant_3, /emb_gru/linear_in/0/Constant_4, /emb_gru/linear_in/0/Slice" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<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>
+				<port id="4" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/emb_gru/linear_in/0/Slice_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="/emb_gru/linear_in/0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Constant_5" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_in/0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="261" name="/emb_gru/linear_in/0/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Concat_1, /emb_gru/linear_in/0/Constant_5" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/emb_gru/linear_in/0/Concat_1_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="262" name="/emb_gru/linear_in/0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/0/Reshape_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/linear_in/0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="263" name="/emb_gru/linear_in/1/Relu" type="ReLU" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_in/1/Relu" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/emb_gru/linear_in/1/Relu_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="264" name="Constant_552" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="320776" size="24" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_552" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="265" name="/emb_gru/Transpose" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Transpose" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/Transpose_output_0">
+					<dim>3002</dim>
+					<dim>1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="266" name="Constant_558" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="320776" size="24" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_558" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="267" name="Transpose_559" type="Transpose" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Transpose_559" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>3002</dim>
+					<dim>1</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="268" name="Constant_547" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="100" size="4" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_547" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="269" name="/emb_gru/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Constant_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="270" name="/emb_gru/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Shape" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/emb_gru/Shape_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="271" name="/emb_gru/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Constant" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/Constant_output_0" />
+			</output>
+		</layer>
+		<layer id="272" name="Constant_539" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_539" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="273" name="/emb_gru/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Constant, /emb_gru/Gather, Constant_539" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/emb_gru/Gather_output_0" />
+			</output>
+		</layer>
+		<layer id="274" name="Constant_542" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_542" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="275" name="/emb_gru/Unsqueeze" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Unsqueeze, Constant_542" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/emb_gru/Unsqueeze_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="/emb_gru/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="320800" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Constant_2" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="277" name="/emb_gru/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/Concat, /emb_gru/Constant_1, /emb_gru/Constant_2" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="I64" names="/emb_gru/Concat_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="278" name="/emb_gru/ConstantOfShape" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/ConstantOfShape" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
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+		<layer id="313" name="/emb_gru/linear_out/0/Unsqueeze_1" type="Unsqueeze" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Unsqueeze_1, Constant_604" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64" />
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/emb_gru/linear_out/0/Unsqueeze_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="314" name="/emb_gru/linear_out/0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="288000" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="315" name="/emb_gru/linear_out/0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="288000" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_1" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_1_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="316" name="/emb_gru/linear_out/0/Concat" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Concat, /emb_gru/linear_out/0/Constant, /emb_gru/linear_out/0/Constant_1" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
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+				<port id="3" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="4" precision="I64" names="/emb_gru/linear_out/0/Concat_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="317" name="/emb_gru/linear_out/0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Reshape" />
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>3002</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/linear_out/0/Reshape_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>16</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="318" name="emb_gru.linear_out.0.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="16, 16, 32" offset="1899852" size="32768" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="emb_gru.linear_out.0.weight" />
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+					<dim>16</dim>
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+			</output>
+		</layer>
+		<layer id="319" name="/emb_gru/linear_out/0/Einsum" type="Einsum" version="opset7">
+			<data equation="btgi,gih->btgh" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Einsum" />
+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>16</dim>
+					<dim>32</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/emb_gru/linear_out/0/Einsum_output_0">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>16</dim>
+					<dim>32</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="/emb_gru/linear_out/0/Shape_1" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Shape_1" />
+			</rt_info>
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+				<port id="0" precision="FP32">
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+					<dim>3002</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I64" names="/emb_gru/linear_out/0/Shape_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="321" name="/emb_gru/linear_out/0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_3" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_3_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="322" name="/emb_gru/linear_out/0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2680" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_4" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_4_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="Constant_616" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="Constant_616" />
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+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="324" name="ShapeOf_617" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="2664" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_3, ShapeOf_617" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="325" name="Broadcast_618" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_3, Broadcast_618, Constant_616, ShapeOf_617" />
+			</rt_info>
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+					<dim>1</dim>
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+			<output>
+				<port id="2" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="326" name="/emb_gru/linear_out/0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="36" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_2" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_2_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="/emb_gru/linear_out/0/Slice" type="Slice" version="opset8">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_2, /emb_gru/linear_out/0/Constant_3, /emb_gru/linear_out/0/Constant_4, /emb_gru/linear_out/0/Slice" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
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+				<port id="1" precision="I64">
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+				<port id="3" precision="I64">
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+				<port id="4" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="5" precision="I64" names="/emb_gru/linear_out/0/Slice_output_0">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="328" name="/emb_gru/linear_out/0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="68" size="8" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Constant_5" />
+			</rt_info>
+			<output>
+				<port id="0" precision="I64" names="/emb_gru/linear_out/0/Constant_5_output_0">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="329" name="/emb_gru/linear_out/0/Concat_1" type="Concat" version="opset1">
+			<data axis="0" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Concat_1, /emb_gru/linear_out/0/Constant_5" />
+			</rt_info>
+			<input>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<port id="2" precision="I64" names="/emb_gru/linear_out/0/Concat_1_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="/emb_gru/linear_out/0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/emb_gru/linear_out/0/Reshape_1" />
+			</rt_info>
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+				<port id="1" precision="I64">
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+			<output>
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+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="331" name="emb" type="ReLU" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="emb" />
+			</rt_info>
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="emb">
+					<dim>1</dim>
+					<dim>3002</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
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+			<rt_info>
+				<attribute name="fused_names" version="0" value="onnx::MatMul_337" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="onnx::MatMul_337">
+					<dim>512</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="333" name="/lsnr_fc/0/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<rt_info>
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+			</rt_info>
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+				<port id="1" precision="FP32">
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+					<dim>1</dim>
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+			</input>
+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/lsnr_fc/0/Add" />
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+				<port id="1" precision="FP32">
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+			<output>
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+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="335" name="/lsnr_fc/1/Sigmoid" type="Sigmoid" version="opset1">
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/lsnr_fc/1/Sigmoid" />
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+					<dim>1</dim>
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+			<output>
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+			</output>
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+			<data element_type="f32" shape="" offset="1934668" size="4" />
+			<rt_info>
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+			<output>
+				<port id="0" precision="FP32" names="/Constant_8_output_0" />
+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="/Mul" />
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+				<port id="1" precision="FP32" />
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+				<port id="2" precision="FP32" names="/Mul_output_0">
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+					<dim>3002</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
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+			<data element_type="f32" shape="" offset="1934672" size="4" />
+			<rt_info>
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+			</output>
+		</layer>
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+			<data auto_broadcast="numpy" />
+			<rt_info>
+				<attribute name="fused_names" version="0" value="lsnr" />
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+			<output>
+				<port id="2" precision="FP32" names="lsnr">
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+					<dim>1</dim>
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+				<attribute name="fused_names" version="0" value="lsnr/sink_port_0" />
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