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| type: INTS |
| } |
| } |
| node { |
| input: "/lstm/Transpose_1_output_0" |
| input: "ortshared_7_1_3_1_token_112" |
| output: "/lstm/Reshape_output_0" |
| name: "/lstm/Reshape" |
| op_type: "Reshape" |
| attribute { |
| name: "allowzero" |
| i: 0 |
| type: INT |
| } |
| } |
| node { |
| input: "/lstm/Reshape_output_0" |
| input: "onnx::LSTM_827" |
| input: "onnx::LSTM_828" |
| input: "onnx::LSTM_826" |
| input: "" |
| input: "/lstm/Slice_3_output_0" |
| input: "/lstm/Slice_3_output_0" |
| output: "/lstm/LSTM_1_output_0" |
| output: "/lstm/LSTM_1_output_1" |
| output: "/lstm/LSTM_1_output_2" |
| name: "/lstm/LSTM_1" |
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| } |
| attribute { |
| name: "hidden_size" |
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| type: INT |
| } |
| } |
| node { |
| input: "/lstm/LSTM_1_output_0" |
| output: "/lstm/Transpose_2_output_0" |
| name: "/lstm/Transpose_2" |
| op_type: "Transpose" |
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| name: "perm" |
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| ints: 2 |
| ints: 1 |
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| type: INTS |
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| node { |
| input: "/lstm/Transpose_2_output_0" |
| input: "ortshared_7_1_3_1_token_112" |
| output: "/lstm/Reshape_1_output_0" |
| name: "/lstm/Reshape_1" |
| op_type: "Reshape" |
| attribute { |
| name: "allowzero" |
| i: 0 |
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| } |
| } |
| node { |
| input: "/lstm/Reshape_1_output_0" |
| input: "onnx::LSTM_870" |
| input: "onnx::LSTM_871" |
| input: "onnx::LSTM_869" |
| input: "" |
| input: "/lstm/Slice_5_output_0" |
| input: "/lstm/Slice_5_output_0" |
| output: "/lstm/LSTM_2_output_0" |
| output: "/lstm/LSTM_2_output_1" |
| output: "/lstm/LSTM_2_output_2" |
| name: "/lstm/LSTM_2" |
| op_type: "LSTM" |
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| i: 0 |
| type: INT |
| } |
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| name: "input_forget" |
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| s: "bidirectional" |
| type: STRING |
| } |
| attribute { |
| name: "hidden_size" |
| i: 128 |
| type: INT |
| } |
| } |
| node { |
| input: "/lstm/LSTM_2_output_0" |
| output: "/lstm/Transpose_3_output_0" |
| name: "/lstm/Transpose_3" |
| op_type: "Transpose" |
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| name: "perm" |
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| ints: 2 |
| ints: 1 |
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| type: INTS |
| } |
| } |
| node { |
| input: "/lstm/Transpose_3_output_0" |
| input: "ortshared_7_1_3_1_token_112" |
| output: "/lstm/Reshape_2_output_0" |
| name: "/lstm/Reshape_2" |
| op_type: "Reshape" |
| attribute { |
| name: "allowzero" |
| i: 0 |
| type: INT |
| } |
| } |
| node { |
| input: "/lstm/Reshape_2_output_0" |
| input: "onnx::LSTM_913" |
| input: "onnx::LSTM_914" |
| input: "onnx::LSTM_912" |
| input: "" |
| input: "/lstm/Slice_7_output_0" |
| input: "/lstm/Slice_7_output_0" |
| output: "/lstm/LSTM_3_output_0" |
| output: "/lstm/LSTM_3_output_1" |
| output: "/lstm/LSTM_3_output_2" |
| name: "/lstm/LSTM_3" |
| op_type: "LSTM" |
| attribute { |
| name: "layout" |
| i: 0 |
| type: INT |
| } |
| attribute { |
| name: "input_forget" |
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| type: STRING |
| } |
| attribute { |
| name: "hidden_size" |
| i: 128 |
| type: INT |
| } |
| } |
| node { |
| input: "/lstm/LSTM_3_output_0" |
| output: "/lstm/Transpose_4_output_0" |
| name: "/lstm/Transpose_4" |
| op_type: "Transpose" |
| attribute { |
| name: "perm" |
| ints: 0 |
| ints: 2 |
| ints: 1 |
| ints: 3 |
| type: INTS |
| } |
| } |
| node { |
| input: "/lstm/Transpose_4_output_0" |
| input: "ortshared_7_1_3_1_token_112" |
| output: "/lstm/Reshape_3_output_0" |
| name: "/lstm/Reshape_3" |
| op_type: "Reshape" |
| attribute { |
| name: "allowzero" |
| i: 0 |
| type: INT |
| } |
| } |
| node { |
| input: "/lstm/Reshape_3_output_0" |
| output: "/lstm/Transpose_5_output_0" |
| name: "/lstm/Transpose_5" |
| op_type: "Transpose" |
| attribute { |
| name: "perm" |
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| ints: 0 |
| ints: 2 |
| type: INTS |
| } |
| } |
| node { |
| input: "/lstm/Transpose_5_output_0" |
| input: "onnx::MatMul_915" |
| output: "/linear.0/MatMul_output_0" |
| name: "/linear.0/MatMul" |
| op_type: "MatMul" |
| } |
| node { |
| input: "linear.0.bias" |
| input: "/linear.0/MatMul_output_0" |
| output: "/linear.0/Add_output_0" |
| name: "/linear.0/Add" |
| op_type: "Add" |
| } |
| node { |
| input: "/linear.0/Add_output_0" |
| output: "/LeakyRelu_output_0" |
| name: "/LeakyRelu" |
| op_type: "LeakyRelu" |
| attribute { |
| name: "alpha" |
| f: 0.009999999776482582 |
| type: FLOAT |
| } |
| } |
| node { |
| input: "/LeakyRelu_output_0" |
| input: "onnx::MatMul_916" |
| output: "/linear.1/MatMul_output_0" |
| name: "/linear.1/MatMul" |
| op_type: "MatMul" |
| } |
| node { |
| input: "linear.1.bias" |
| input: "/linear.1/MatMul_output_0" |
| output: "/linear.1/Add_output_0" |
| name: "/linear.1/Add" |
| op_type: "Add" |
| } |
| node { |
| input: "/linear.1/Add_output_0" |
| output: "/LeakyRelu_1_output_0" |
| name: "/LeakyRelu_1" |
| op_type: "LeakyRelu" |
| attribute { |
| name: "alpha" |
| f: 0.009999999776482582 |
| type: FLOAT |
| } |
| } |
| node { |
| input: "/LeakyRelu_1_output_0" |
| input: "onnx::MatMul_917" |
| output: "/classifier/MatMul_output_0" |
| name: "/classifier/MatMul" |
| op_type: "MatMul" |
| } |
| node { |
| input: "ortshared_1_1_7_0_token_109" |
| input: "/classifier/MatMul_output_0" |
| output: "/classifier/Add_output_0" |
| name: "/classifier/Add" |
| op_type: "Add" |
| } |
| node { |
| input: "/classifier/Add_output_0" |
| output: "output" |
| name: "/activation/LogSoftmax" |
| op_type: "LogSoftmax" |
| attribute { |
| name: "axis" |
| i: -1 |
| type: INT |
| } |
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| name: "ortshared_1_1_1_0_token_107" |
| } |
| initializer { |
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| dims: 1 |
| dims: 251 |
| data_type: 1 |
| name: "/sincnet/conv1d.0/Concat_2_output_0" |
| } |
| initializer { |
| data_type: 7 |
| name: "ortshared_7_0_1_0_token_105" |
| } |
| initializer { |
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| initializer { |
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| name: "ortshared_7_0_1_1_token_113" |
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| initializer { |
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| data_type: 1 |
| name: "sincnet.conv1d.1.weight" |
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| name: "sincnet.conv1d.1.bias" |
| } |
| initializer { |
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| dims: 60 |
| dims: 5 |
| data_type: 1 |
| name: "sincnet.conv1d.2.weight" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.conv1d.2.bias" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.norm1d.0.weight" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.norm1d.0.bias" |
| } |
| initializer { |
| dims: 60 |
| data_type: 1 |
| name: "sincnet.norm1d.1.weight" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.norm1d.1.bias" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.norm1d.2.weight" |
| } |
| initializer { |
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| data_type: 1 |
| name: "sincnet.norm1d.2.bias" |
| } |
| initializer { |
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| data_type: 1 |
| name: "linear.0.bias" |
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| initializer { |
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| data_type: 1 |
| name: "linear.1.bias" |
| } |
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| data_type: 1 |
| name: "ortshared_1_1_7_0_token_109" |
| } |
| initializer { |
| dims: 1 |
| data_type: 7 |
| name: "ortshared_7_1_1_4_token_115" |
| } |
| initializer { |
| dims: 2 |
| dims: 1024 |
| data_type: 1 |
| name: "onnx::LSTM_783" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 60 |
| data_type: 1 |
| name: "onnx::LSTM_784" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::LSTM_785" |
| } |
| initializer { |
| dims: 2 |
| dims: 1024 |
| data_type: 1 |
| name: "onnx::LSTM_826" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 256 |
| data_type: 1 |
| name: "onnx::LSTM_827" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::LSTM_828" |
| } |
| initializer { |
| dims: 2 |
| dims: 1024 |
| data_type: 1 |
| name: "onnx::LSTM_869" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 256 |
| data_type: 1 |
| name: "onnx::LSTM_870" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::LSTM_871" |
| } |
| initializer { |
| dims: 2 |
| dims: 1024 |
| data_type: 1 |
| name: "onnx::LSTM_912" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 256 |
| data_type: 1 |
| name: "onnx::LSTM_913" |
| } |
| initializer { |
| dims: 2 |
| dims: 512 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::LSTM_914" |
| } |
| initializer { |
| dims: 256 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::MatMul_915" |
| } |
| initializer { |
| dims: 128 |
| dims: 128 |
| data_type: 1 |
| name: "onnx::MatMul_916" |
| } |
| initializer { |
| dims: 128 |
| dims: 7 |
| data_type: 1 |
| name: "onnx::MatMul_917" |
| } |
| initializer { |
| dims: 1 |
| data_type: 7 |
| name: "ortshared_7_1_1_1_token_108" |
| } |
| initializer { |
| dims: 1 |
| data_type: 7 |
| name: "ortshared_7_1_1_5_token_116" |
| } |
| initializer { |
| dims: 3 |
| data_type: 7 |
| name: "ortshared_7_1_3_1_token_112" |
| } |
| initializer { |
| dims: 1 |
| data_type: 7 |
| name: "ortshared_7_1_1_3_token_114" |
| } |
| initializer { |
| dims: 1 |
| data_type: 7 |
| name: "ortshared_7_1_1_0_token_106" |
| } |
| initializer { |
| dims: 3 |
| data_type: 7 |
| name: "ortshared_7_1_3_0_token_104" |
| } |
| input { |
| name: "input" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_param: "B" |
| } |
| dim { |
| dim_param: "C" |
| } |
| dim { |
| dim_param: "T" |
| } |
| } |
| } |
| } |
| } |
| output { |
| name: "output" |
| type { |
| tensor_type { |
| elem_type: 1 |
| shape { |
| dim { |
| dim_param: "LogSoftmaxoutput_dim_0" |
| } |
| dim { |
| dim_param: "LogSoftmaxoutput_dim_1" |
| } |
| dim { |
| dim_value: 7 |
| } |
| } |
| } |
| } |
| } |
| } |
| opset_import { |
| domain: "" |
| version: 17 |
| } |
| opset_import { |
| domain: "com.microsoft.experimental" |
| version: 1 |
| } |
| opset_import { |
| domain: "ai.onnx.ml" |
| version: 4 |
| } |
| opset_import { |
| domain: "ai.onnx.training" |
| version: 1 |
| } |
| opset_import { |
| domain: "com.microsoft" |
| version: 1 |
| } |
| opset_import { |
| domain: "ai.onnx.preview.training" |
| version: 1 |
| } |
| opset_import { |
| domain: "com.microsoft.nchwc" |
| version: 1 |
| } |
| opset_import { |
| domain: "org.pytorch.aten" |
| version: 1 |
| } |
|
|
