From 8bf1a6adbb9b412615a1d121ae2fa0c1776f1c48 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 二月 2023 15:18:33 +0800
Subject: [PATCH] exoprt model
---
funasr/export/export_model.py | 81 +++++++++++++++++++++++++++-------------
1 files changed, 55 insertions(+), 26 deletions(-)
diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
index 9a599eb..de6aff8 100644
--- a/funasr/export/export_model.py
+++ b/funasr/export/export_model.py
@@ -1,3 +1,4 @@
+import json
from typing import Union, Dict
from pathlib import Path
from typeguard import check_argument_types
@@ -25,7 +26,7 @@
logging.info("output dir: {}".format(self.cache_dir))
self.onnx = onnx
- def export(
+ def _export(
self,
model: Speech2Text,
tag_name: str = None,
@@ -60,38 +61,66 @@
model_script = torch.jit.trace(model, dummy_input)
model_script.save(os.path.join(path, f'{model.model_name}.torchscripts'))
- def export_from_modelscope(
- self,
- tag_name: str = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
- ):
+ def export(self,
+ tag_name: str = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+ mode: str = 'paraformer',
+ ):
- from funasr.tasks.asr import ASRTaskParaformer as ASRTask
- from modelscope.hub.snapshot_download import snapshot_download
-
- model_dir = snapshot_download(tag_name, cache_dir=self.cache_dir)
- asr_train_config = os.path.join(model_dir, 'config.yaml')
- asr_model_file = os.path.join(model_dir, 'model.pb')
- cmvn_file = os.path.join(model_dir, 'am.mvn')
- model, asr_train_args = ASRTask.build_model_from_file(
- asr_train_config, asr_model_file, cmvn_file, 'cpu'
- )
- self.export(model, tag_name)
-
- def export_from_local(
- self,
- tag_name: str = '/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
- ):
-
- from funasr.tasks.asr import ASRTaskParaformer as ASRTask
-
model_dir = tag_name
+ if model_dir.startswith('damo/'):
+ from modelscope.hub.snapshot_download import snapshot_download
+ model_dir = snapshot_download(tag_name, cache_dir=self.cache_dir)
asr_train_config = os.path.join(model_dir, 'config.yaml')
asr_model_file = os.path.join(model_dir, 'model.pb')
cmvn_file = os.path.join(model_dir, 'am.mvn')
+ json_file = os.path.join(model_dir, 'configuration.json')
+ if mode is None:
+ import json
+ with open(json_file, 'r') as f:
+ config_data = json.load(f)
+ mode = config_data['model']['model_config']['mode']
+ if mode == 'paraformer':
+ from funasr.tasks.asr import ASRTaskParaformer as ASRTask
+ elif mode == 'uniasr':
+ from funasr.tasks.asr import ASRTaskUniASR as ASRTask
+
model, asr_train_args = ASRTask.build_model_from_file(
asr_train_config, asr_model_file, cmvn_file, 'cpu'
)
self.export(model, tag_name)
+
+ # def export_from_modelscope(
+ # self,
+ # tag_name: str = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+ # ):
+ #
+ # from funasr.tasks.asr import ASRTaskParaformer as ASRTask
+ # from modelscope.hub.snapshot_download import snapshot_download
+ #
+ # model_dir = snapshot_download(tag_name, cache_dir=self.cache_dir)
+ # asr_train_config = os.path.join(model_dir, 'config.yaml')
+ # asr_model_file = os.path.join(model_dir, 'model.pb')
+ # cmvn_file = os.path.join(model_dir, 'am.mvn')
+ # model, asr_train_args = ASRTask.build_model_from_file(
+ # asr_train_config, asr_model_file, cmvn_file, 'cpu'
+ # )
+ # self.export(model, tag_name)
+ #
+ # def export_from_local(
+ # self,
+ # tag_name: str = '/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
+ # ):
+ #
+ # from funasr.tasks.asr import ASRTaskParaformer as ASRTask
+ #
+ # model_dir = tag_name
+ # asr_train_config = os.path.join(model_dir, 'config.yaml')
+ # asr_model_file = os.path.join(model_dir, 'model.pb')
+ # cmvn_file = os.path.join(model_dir, 'am.mvn')
+ # model, asr_train_args = ASRTask.build_model_from_file(
+ # asr_train_config, asr_model_file, cmvn_file, 'cpu'
+ # )
+ # self.export(model, tag_name)
def _export_onnx(self, model, verbose, path, enc_size=None):
if enc_size:
@@ -116,5 +145,5 @@
if __name__ == '__main__':
output_dir = "../export"
export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=False)
- export_model.export_from_modelscope('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
- # export_model.export_from_local('/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
\ No newline at end of file
+ export_model.export('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
+ # export_model.export('/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
\ No newline at end of file
--
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