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* qwenaudio qwenaudiochat

* qwenaudio qwenaudiochat

* whisper

* whisper

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* llm

* export onnx

* export onnx

* export onnx

* dingding

* dingding

* llm

* doc

* onnx

* onnx

* onnx
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zhifu gao 2024-03-11 19:37:50 +08:00 committed by GitHub
parent e847f85a14
commit cc59310dbf
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7 changed files with 7 additions and 9 deletions
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1
funasr/auto/auto_model.py
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@ -158,7 +158,6 @@ class AutoModel:
torch.set_num_threads(kwargs.get("ncpu", 4)) torch.set_num_threads(kwargs.get("ncpu", 4))
# build tokenizer # build tokenizer
tokenizer = kwargs.get("tokenizer", None) tokenizer = kwargs.get("tokenizer", None)
if tokenizer is not None: if tokenizer is not None:

2
funasr/models/bicif_paraformer/model.py
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@ -367,7 +367,7 @@ class BiCifParaformer(Paraformer):
else: else:
self.make_pad_mask = sequence_mask(max_seq_len, flip=False) self.make_pad_mask = sequence_mask(max_seq_len, flip=False)
self.forward = self._export_forward self.forward = self.export_forward
return self return self

2
funasr/models/ct_transformer/model.py
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@ -373,7 +373,7 @@ class CTTransformer(torch.nn.Module):
encoder_class = tables.encoder_classes.get(kwargs["encoder"]+"Export") encoder_class = tables.encoder_classes.get(kwargs["encoder"]+"Export")
self.encoder = encoder_class(self.encoder, onnx=is_onnx) self.encoder = encoder_class(self.encoder, onnx=is_onnx)
self.forward = self._export_forward self.forward = self.export_forward
return self return self

2
funasr/models/ct_transformer_streaming/model.py
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@ -182,7 +182,7 @@ class CTTransformerStreaming(CTTransformer):
encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export") encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export")
self.encoder = encoder_class(self.encoder, onnx=is_onnx) self.encoder = encoder_class(self.encoder, onnx=is_onnx)
self.forward = self._export_forward self.forward = self.export_forward
return self return self

2
funasr/models/fsmn_vad_streaming/model.py
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@ -647,7 +647,7 @@ class FsmnVADStreaming(nn.Module):
is_onnx = kwargs.get("type", "onnx") == "onnx" is_onnx = kwargs.get("type", "onnx") == "onnx"
encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export") encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export")
self.encoder = encoder_class(self.encoder, onnx=is_onnx) self.encoder = encoder_class(self.encoder, onnx=is_onnx)
self.forward = self._export_forward self.forward = self.export_forward
return self return self

2
funasr/models/paraformer/model.py
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@ -575,7 +575,7 @@ class Paraformer(torch.nn.Module):
else: else:
self.make_pad_mask = sequence_mask(max_seq_len, flip=False) self.make_pad_mask = sequence_mask(max_seq_len, flip=False)
self.forward = self._export_forward self.forward = self.export_forward
return self return self

5
funasr/models/paraformer_streaming/model.py
View File

@ -587,7 +587,6 @@ class ParaformerStreaming(Paraformer):
else: else:
self.make_pad_mask = sequence_mask(max_seq_len, flip=False) self.make_pad_mask = sequence_mask(max_seq_len, flip=False)
self.forward = self._export_forward
import copy import copy
import types import types
@ -595,7 +594,7 @@ class ParaformerStreaming(Paraformer):
decoder_model = copy.copy(self) decoder_model = copy.copy(self)
# encoder # encoder
encoder_model.forward = types.MethodType(ParaformerStreaming._export_encoder_forward, encoder_model) encoder_model.forward = types.MethodType(ParaformerStreaming.export_encoder_forward, encoder_model)
encoder_model.export_dummy_inputs = types.MethodType(ParaformerStreaming.export_encoder_dummy_inputs, encoder_model) encoder_model.export_dummy_inputs = types.MethodType(ParaformerStreaming.export_encoder_dummy_inputs, encoder_model)
encoder_model.export_input_names = types.MethodType(ParaformerStreaming.export_encoder_input_names, encoder_model) encoder_model.export_input_names = types.MethodType(ParaformerStreaming.export_encoder_input_names, encoder_model)
encoder_model.export_output_names = types.MethodType(ParaformerStreaming.export_encoder_output_names, encoder_model) encoder_model.export_output_names = types.MethodType(ParaformerStreaming.export_encoder_output_names, encoder_model)
@ -603,7 +602,7 @@ class ParaformerStreaming(Paraformer):
encoder_model.export_name = types.MethodType(ParaformerStreaming.export_encoder_name, encoder_model) encoder_model.export_name = types.MethodType(ParaformerStreaming.export_encoder_name, encoder_model)
# decoder # decoder
decoder_model.forward = types.MethodType(ParaformerStreaming._export_decoder_forward, decoder_model) decoder_model.forward = types.MethodType(ParaformerStreaming.export_decoder_forward, decoder_model)
decoder_model.export_dummy_inputs = types.MethodType(ParaformerStreaming.export_decoder_dummy_inputs, decoder_model) decoder_model.export_dummy_inputs = types.MethodType(ParaformerStreaming.export_decoder_dummy_inputs, decoder_model)
decoder_model.export_input_names = types.MethodType(ParaformerStreaming.export_decoder_input_names, decoder_model) decoder_model.export_input_names = types.MethodType(ParaformerStreaming.export_decoder_input_names, decoder_model)
decoder_model.export_output_names = types.MethodType(ParaformerStreaming.export_decoder_output_names, decoder_model) decoder_model.export_output_names = types.MethodType(ParaformerStreaming.export_decoder_output_names, decoder_model)