diff --git "a/openvino_decoder_model.xml" "b/openvino_decoder_model.xml"
new file mode 100644--- /dev/null
+++ "b/openvino_decoder_model.xml"
@@ -0,0 +1,5761 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="4" name="inputs_embeds" type="Parameter" version="opset1">
+			<data shape="?,?,80" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="inputs_embeds">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="speaker_embeddings" type="Parameter" version="opset1">
+			<data shape="1,512" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="speaker_embeddings">
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="encoder_hidden_states" type="Parameter" version="opset1">
+			<data shape="?,?,24" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="encoder_hidden_states">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="encoder_attention_mask" type="Parameter" version="opset1">
+			<data shape="?,?" element_type="i64" />
+			<output>
+				<port id="0" precision="I64" names="encoder_attention_mask">
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="0" name="beam_idx" type="Parameter" version="opset1">
+			<data shape="?" element_type="i32" />
+			<output>
+				<port id="0" precision="I32" names="beam_idx">
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="43" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" names="43" />
+			</output>
+		</layer>
+		<layer id="6" name="42" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" names="42" />
+			</output>
+		</layer>
+		<layer id="7" name="aten::select/Gather" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+				<port id="1" precision="I64" />
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="44">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 24" offset="8" size="2304" />
+			<output>
+				<port id="0" precision="FP32" names="self.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.k_proj.weight">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.k_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="441,tensor.19">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="ReadValue_18630" type="ReadValue" version="opset6">
+			<data variable_id="441" variable_type="dynamic" variable_shape="..." />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 24" offset="2312" size="2304" />
+			<output>
+				<port id="0" precision="FP32" names="self.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.v_proj.weight">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="__module.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.v_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="289,tensor.9">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="ReadValue_18628" type="ReadValue" version="opset6">
+			<data variable_id="289" variable_type="dynamic" variable_shape="..." />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.v_proj.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 24" offset="4616" size="2304" />
+			<output>
+				<port id="0" precision="FP32" names="self.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.v_proj.weight">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.speecht5.decoder.wrapped_decoder.layers.1.encoder_attn.v_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="448,tensor.21">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="ReadValue_18626" type="ReadValue" version="opset6">
+			<data variable_id="448" variable_type="dynamic" variable_shape="..." />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="20" name="self.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.k_proj.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="24, 24" offset="6920" size="2304" />
+			<output>
+				<port id="0" precision="FP32" names="self.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.k_proj.weight">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.speecht5.decoder.wrapped_decoder.layers.0.encoder_attn.k_proj/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>24</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="282,tensor.7">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="ReadValue_18624" type="ReadValue" version="opset6">
+			<data variable_id="282" variable_type="dynamic" variable_shape="..." />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>-1</dim>
+					<dim>24</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="Constant_18386" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9224" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="25" name="ShapeOf_18372" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_18374" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="Constant_18376" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="28" name="Gather_18377" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="I64">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="Constant_18379" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9228" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="Constant_18381" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="Constant_18383" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="9236" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="Concat_18384" type="Concat" version="opset1">
+			<data axis="0" />
+			<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">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Broadcast_18387" type="Broadcast" version="opset3">
+			<data mode="numpy" />
+			<input>
+				<port id="0" precision="FP32" />
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>0</dim>
+					<dim>12</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="34" name="ReadValue_18180" type="ReadValue" version="opset6">
+			<data variable_id="past_key_values.1.decoder.valuepresent.0.encoder.value" variable_type="f32" variable_shape="?,2,?,12" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>0</dim>
+					<dim>12</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="past_key_values.1.decoder.value">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="Constant_17982" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="36" name="Gather_17983" type="Gather" version="opset8">
+			<data batch_dims="0" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+				</port>
+				<port id="1" precision="I32">
+					<dim>-1</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>2</dim>
+					<dim>-1</dim>
+					<dim>12</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="37" name="self.speecht5.decoder.prenet.layers.0.weight" type="Const" version="opset1">
+			<data element_type="f32" shape="256, 80" offset="9244" size="81920" />
+			<output>
+				<port id="0" precision="FP32" names="self.speecht5.decoder.prenet.layers.0.weight">
+					<dim>256</dim>
+					<dim>80</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="38" name="__module.speecht5.decoder.prenet.layers.0/aten::linear/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>80</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>256</dim>
+					<dim>80</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="106">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="39" name="__module.speecht5.decoder.prenet/aten::relu/Relu" type="ReLU" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="107,inputs_embeds.3">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="40" name="ShapeOf_16336" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="41" name="Constant_16337" type="Const" version="opset1">
+			<data element_type="i64" shape="2" offset="91164" size="16" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="42" name="Constant_16335" type="Const" version="opset1">
+			<data element_type="i64" shape="" offset="0" size="8" />
+			<output>
+				<port id="0" precision="I64" />
+			</output>
+		</layer>
+		<layer id="43" name="__module.speecht5.decoder.prenet/aten::bernoulli/ShapeOf" type="Gather" version="opset1">
+			<input>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>2</dim>
+				</port>
+				<port id="2" precision="I64" />
+			</input>
+			<output>
+				<port id="3" precision="I32">
+					<dim>2</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="__module.speecht5.decoder.prenet/aten::bernoulli/Constant_2" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="9224" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="45" name="__module.speecht5.decoder.prenet/aten::bernoulli/Constant_3" type="Const" version="opset1">
+			<data element_type="f32" shape="" offset="91180" size="4" />
+			<output>
+				<port id="0" precision="FP32" />
+			</output>
+		</layer>
+		<layer id="46" name="__module.speecht5.decoder.prenet/aten::bernoulli/RandomUniform_1" type="RandomUniform" version="opset8">
+			<data output_type="f32" op_seed="0" global_seed="0" alignment="pytorch" />
+			<input>
+				<port id="0" precision="I32">
+					<dim>2</dim>
+				</port>
+				<port id="1" precision="FP32" />
+				<port id="2" precision="FP32" />
+			</input>
+			<output>
+				<port id="3" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="Constant_16648" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 1" offset="91184" size="4" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="48" name="__module.speecht5.decoder.prenet/aten::bernoulli/Less_1" type="Less" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="BOOL">
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="49" name="__module.speecht5.decoder.prenet/aten::bernoulli/ConvertLike_1" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<input>
+				<port id="0" precision="BOOL">
+					<dim>-1</dim>
+					<dim>256</dim>
+				</port>
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