diff --git "a/openvino_model.xml" "b/openvino_model.xml"
--- "a/openvino_model.xml"
+++ "b/openvino_model.xml"
@@ -1,58 +1,40 @@
 <?xml version="1.0"?>
-<net name="Model3" version="11">
+<net name="Model6" version="11">
 	<layers>
-		<layer id="2" name="sample" type="Parameter" version="opset1">
-			<data shape="?,4,?,?" element_type="f32" />
+		<layer id="0" name="sample" type="Parameter" version="opset1">
+			<data shape="?,3,?,?" element_type="f32" />
 			<output>
 				<port id="0" precision="FP32" names="sample">
 					<dim>-1</dim>
-					<dim>4</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="1" name="timestep" type="Parameter" version="opset1">
-			<data shape="?" element_type="i64" />
-			<output>
-				<port id="0" precision="I64" names="timestep">
-					<dim>-1</dim>
-				</port>
-			</output>
-		</layer>
-		<layer id="0" name="encoder_hidden_states" type="Parameter" version="opset1">
-			<data shape="?,?,768" element_type="f32" />
-			<output>
-				<port id="0" precision="FP32" names="encoder_hidden_states">
+					<dim>3</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
-					<dim>768</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="self.conv_in.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 4, 3, 3" offset="0" size="46080" />
+		<layer id="1" name="self.encoder.conv_in.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 3, 3, 3" offset="0" size="13824" />
 			<output>
-				<port id="0" precision="FP32" names="self.conv_in.weight">
-					<dim>320</dim>
-					<dim>4</dim>
+				<port id="0" precision="FP32" names="self.encoder.conv_in.weight">
+					<dim>128</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="__module.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="2" name="__module.encoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>4</dim>
+					<dim>3</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>4</dim>
+					<dim>128</dim>
+					<dim>3</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -60,130 +42,130 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="__module.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="46080" size="1280" />
+		<layer id="3" name="__module.encoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="13824" size="512" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="__module.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="4" name="__module.encoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="118,input.7">
+				<port id="2" precision="FP32" names="92,input.1">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="self.down_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="47360" size="1280" />
+		<layer id="5" name="self.encoder.down_blocks.0.resnets.0.norm1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="14336" size="512" />
 			<output>
-				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm1.weight">
-					<dim>320</dim>
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm1.weight">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="self.down_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
-			<data element_type="f32" shape="320" offset="48640" size="1280" />
+		<layer id="6" name="self.encoder.down_blocks.0.resnets.0.norm1.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="14848" size="512" />
 			<output>
-				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.norm1.bias">
-					<dim>320</dim>
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm1.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="__module.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
-			<data num_groups="32" epsilon="9.9999997473787516e-06" />
+		<layer id="7" name="__module.encoder.down_blocks.0.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
+					<dim>128</dim>
 				</port>
 				<port id="2" precision="FP32">
-					<dim>320</dim>
+					<dim>128</dim>
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="156,input.9">
+				<port id="3" precision="FP32" names="106,input.3">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="__module.conv_act/aten::silu/Swish" type="Swish" version="opset4">
+		<layer id="8" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="157,input.11">
+				<port id="1" precision="FP32" names="107,input.5">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="self.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="320, 320, 3, 3" offset="49920" size="3686400" />
+		<layer id="9" name="self.encoder.down_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128, 128, 3, 3" offset="15360" size="589824" />
 			<output>
-				<port id="0" precision="FP32" names="self.down_blocks.0.resnets.0.conv1.weight">
-					<dim>320</dim>
-					<dim>320</dim>
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+		<layer id="10" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
 			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
-					<dim>320</dim>
-					<dim>320</dim>
+					<dim>128</dim>
+					<dim>128</dim>
 					<dim>3</dim>
 					<dim>3</dim>
 				</port>
@@ -191,705 +173,848 @@
 			<output>
 				<port id="2" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 320, 1, 1" offset="3736320" size="1280" />
+		<layer id="11" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 128, 1, 1" offset="605184" size="512" />
 			<output>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="__module.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+		<layer id="12" name="__module.encoder.down_blocks.0.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="164,hidden_states.1">
+				<port id="2" precision="FP32" names="114,input.7">
 					<dim>-1</dim>
-					<dim>320</dim>
+					<dim>128</dim>
 					<dim>-1</dim>
 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="ShapeOf_215381" type="ShapeOf" version="opset3">
-			<data output_type="i64" />
-			<input>
-				<port id="0" precision="FP32">
-					<dim>-1</dim>
-					<dim>4</dim>
-					<dim>-1</dim>
-					<dim>-1</dim>
-				</port>
-			</input>
+		<layer id="13" name="self.encoder.down_blocks.0.resnets.0.norm2.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="605696" size="512" />
 			<output>
-				<port id="1" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.weight">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="Constant_215921" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="3737600" size="8" />
+		<layer id="14" name="self.encoder.down_blocks.0.resnets.0.norm2.bias" type="Const" version="opset1">
+			<data element_type="f32" shape="128" offset="606208" size="512" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>1</dim>
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.norm2.bias">
+					<dim>128</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="Constant_215383" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3737600" size="8" />
-			<output>
-				<port id="0" precision="I64" />
-			</output>
-		</layer>
-		<layer id="18" name="Gather_215384" type="Gather" version="opset8">
-			<data batch_dims="0" />
+		<layer id="15" name="__module.encoder.down_blocks.0.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
 			<input>
-				<port id="0" precision="I64">
-					<dim>4</dim>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
-				<port id="1" precision="I64">
-					<dim>1</dim>
+				<port id="1" precision="FP32">
+					<dim>128</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>128</dim>
 				</port>
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 			</input>
 			<output>
-				<port id="3" precision="I64" names="28,30,31,3622,3625">
-					<dim>1</dim>
+				<port id="3" precision="FP32" names="117,input.9">
+					<dim>-1</dim>
+					<dim>128</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="aten::expand/Broadcast" type="Broadcast" version="opset3">
-			<data mode="bidirectional" />
+		<layer id="16" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
 			<input>
-				<port id="0" precision="I64">
+				<port id="0" precision="FP32">
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 					<dim>-1</dim>
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-				<port id="1" precision="I64">
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 			</input>
 			<output>
-				<port id="2" precision="I64" names="33,82,timesteps">
+				<port id="1" precision="FP32" names="118,input.11">
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+					<dim>128</dim>
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 					<dim>-1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="68" type="Const" version="opset1">
-			<data element_type="i64" shape="" offset="3737608" size="8" />
+		<layer id="17" name="self.encoder.down_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
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 			<output>
-				<port id="0" precision="I64" names="68" />
+				<port id="0" precision="FP32" names="self.encoder.down_blocks.0.resnets.0.conv2.weight">
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+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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 			</output>
 		</layer>
-		<layer id="21" name="__module.time_proj/aten::unsqueeze/Unsqueeze" type="Unsqueeze" version="opset1">
+		<layer id="18" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Convolution" type="Convolution" version="opset1">
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 			<input>
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-			<data destination_type="f32" />
-			<input>
-				<port id="0" precision="I64">
 					<dim>-1</dim>
-					<dim>1</dim>
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+				<port id="1" precision="FP32">
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 			</input>
 			<output>
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-			<data element_type="f32" shape="1, 160" offset="3737616" size="640" />
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 			<output>
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 			</output>
 		</layer>
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+		<layer id="20" name="__module.encoder.down_blocks.0.resnets.0.conv2/aten::_convolution/Add" type="Add" version="opset1">
 			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
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 			<output>
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+				<port id="2" precision="FP32" names="126,hidden_states.1">
+					<dim>-1</dim>
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 			</output>
 		</layer>
-		<layer id="25" name="__module.time_proj/aten::sin/Sin" type="Sin" version="opset1">
+		<layer id="21" name="__module.encoder.down_blocks.0.resnets.0/aten::add/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>-1</dim>
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 			<input>
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 			<input>
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@@ -41270,12 +4468,13 @@
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 				<port id="0" precision="FP32">
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@@ -41731,18 +4892,32 @@
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