From 41e4b59033cc0d627b2e244f0e2d602a43d91126 Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 二月 2023 18:55:35 +0800
Subject: [PATCH] Merge pull request #94 from alibaba-damo-academy/gzf
---
funasr/export/models/__init__.py | 84 -----------------------------------------
1 files changed, 1 insertions(+), 83 deletions(-)
diff --git a/funasr/export/models/__init__.py b/funasr/export/models/__init__.py
index b21b080..ca2c813 100644
--- a/funasr/export/models/__init__.py
+++ b/funasr/export/models/__init__.py
@@ -1,42 +1,3 @@
-# from .ctc import CTC
-# from .joint_network import JointNetwork
-#
-# # encoder
-# from espnet2.asr.encoder.rnn_encoder import RNNEncoder as espnetRNNEncoder
-# from espnet2.asr.encoder.vgg_rnn_encoder import VGGRNNEncoder as espnetVGGRNNEncoder
-# from espnet2.asr.encoder.contextual_block_transformer_encoder import ContextualBlockTransformerEncoder as espnetContextualTransformer
-# from espnet2.asr.encoder.contextual_block_conformer_encoder import ContextualBlockConformerEncoder as espnetContextualConformer
-# from espnet2.asr.encoder.transformer_encoder import TransformerEncoder as espnetTransformerEncoder
-# from espnet2.asr.encoder.conformer_encoder import ConformerEncoder as espnetConformerEncoder
-# from funasr.export.models.encoder.rnn import RNNEncoder
-# from funasr.export.models.encoders import TransformerEncoder
-# from funasr.export.models.encoders import ConformerEncoder
-# from funasr.export.models.encoder.contextual_block_xformer import ContextualBlockXformerEncoder
-#
-# # decoder
-# from espnet2.asr.decoder.rnn_decoder import RNNDecoder as espnetRNNDecoder
-# from espnet2.asr.transducer.transducer_decoder import TransducerDecoder as espnetTransducerDecoder
-# from funasr.export.models.decoder.rnn import (
-# RNNDecoder
-# )
-# from funasr.export.models.decoders import XformerDecoder
-# from funasr.export.models.decoders import TransducerDecoder
-#
-# # lm
-# from espnet2.lm.seq_rnn_lm import SequentialRNNLM as espnetSequentialRNNLM
-# from espnet2.lm.transformer_lm import TransformerLM as espnetTransformerLM
-# from .language_models.seq_rnn import SequentialRNNLM
-# from .language_models.transformer import TransformerLM
-#
-# # frontend
-# from espnet2.asr.frontend.s3prl import S3prlFrontend as espnetS3PRLModel
-# from .frontends.s3prl import S3PRLModel
-#
-# from espnet2.asr.encoder.sanm_encoder import SANMEncoder_tf, SANMEncoderChunkOpt_tf
-# from espnet_onnx.export.asr.models.encoders.transformer_sanm import TransformerEncoderSANM_tf
-# from espnet2.asr.decoder.transformer_decoder import FsmnDecoderSCAMAOpt_tf
-# from funasr.export.models.decoders import XformerDecoderSANM
-
from funasr.models.e2e_asr_paraformer import Paraformer
from funasr.export.models.e2e_asr_paraformer import Paraformer as Paraformer_export
@@ -45,47 +6,4 @@
if isinstance(model, Paraformer):
return Paraformer_export(model, **export_config)
else:
- raise "The model is not exist!"
-
-
-# def get_encoder(model, frontend, preencoder, predictor=None, export_config=None):
-# if isinstance(model, espnetRNNEncoder) or isinstance(model, espnetVGGRNNEncoder):
-# return RNNEncoder(model, frontend, preencoder, **export_config)
-# elif isinstance(model, espnetContextualTransformer) or isinstance(model, espnetContextualConformer):
-# return ContextualBlockXformerEncoder(model, **export_config)
-# elif isinstance(model, espnetTransformerEncoder):
-# return TransformerEncoder(model, frontend, preencoder, **export_config)
-# elif isinstance(model, espnetConformerEncoder):
-# return ConformerEncoder(model, frontend, preencoder, **export_config)
-# elif isinstance(model, SANMEncoder_tf) or isinstance(model, SANMEncoderChunkOpt_tf):
-# return TransformerEncoderSANM_tf(model, frontend, preencoder, predictor, **export_config)
-# else:
-# raise "The model is not exist!"
-
-
-#
-# def get_decoder(model, export_config):
-# if isinstance(model, espnetRNNDecoder):
-# return RNNDecoder(model, **export_config)
-# elif isinstance(model, espnetTransducerDecoder):
-# return TransducerDecoder(model, **export_config)
-# elif isinstance(model, FsmnDecoderSCAMAOpt_tf):
-# return XformerDecoderSANM(model, **export_config)
-# else:
-# return XformerDecoder(model, **export_config)
-#
-#
-# def get_lm(model, export_config):
-# if isinstance(model, espnetSequentialRNNLM):
-# return SequentialRNNLM(model, **export_config)
-# elif isinstance(model, espnetTransformerLM):
-# return TransformerLM(model, **export_config)
-#
-#
-# def get_frontend_models(model, export_config):
-# if isinstance(model, espnetS3PRLModel):
-# return S3PRLModel(model, **export_config)
-# else:
-# return None
-#
-
\ No newline at end of file
+ raise "The model is not exist!"
\ No newline at end of file
--
Gitblit v1.9.1