From fc08b62d05723cdc1ce021bb8ba044ca014fb1f7 Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期一, 13 三月 2023 18:38:41 +0800
Subject: [PATCH] readme
---
funasr/export/export_model.py | 78 ++++++++++++++++-----------------------
1 files changed, 32 insertions(+), 46 deletions(-)
diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
index 514bf55..3cbf6d2 100644
--- a/funasr/export/export_model.py
+++ b/funasr/export/export_model.py
@@ -7,28 +7,32 @@
import logging
import torch
-from funasr.bin.asr_inference_paraformer import Speech2Text
from funasr.export.models import get_model
+import numpy as np
+import random
-
+# torch_version = float(".".join(torch.__version__.split(".")[:2]))
+# assert torch_version > 1.9
class ASRModelExportParaformer:
def __init__(self, cache_dir: Union[Path, str] = None, onnx: bool = True):
assert check_argument_types()
+ self.set_all_random_seed(0)
if cache_dir is None:
- cache_dir = Path.home() / "cache" / "export"
+ cache_dir = Path.home() / ".cache" / "export"
self.cache_dir = Path(cache_dir)
self.export_config = dict(
feats_dim=560,
onnx=False,
)
- logging.info("output dir: {}".format(self.cache_dir))
+ print("output dir: {}".format(self.cache_dir))
self.onnx = onnx
+
def _export(
self,
- model: Speech2Text,
+ model,
tag_name: str = None,
verbose: bool = False,
):
@@ -42,25 +46,30 @@
model,
self.export_config,
)
- self._export_onnx(model, verbose, export_dir)
+ model.eval()
+ # self._export_onnx(model, verbose, export_dir)
if self.onnx:
self._export_onnx(model, verbose, export_dir)
else:
self._export_torchscripts(model, verbose, export_dir)
- logging.info("output dir: {}".format(export_dir))
+ print("output dir: {}".format(export_dir))
def _export_torchscripts(self, model, verbose, path, enc_size=None):
if enc_size:
dummy_input = model.get_dummy_inputs(enc_size)
else:
- dummy_input = model.get_dummy_inputs_txt()
+ dummy_input = model.get_dummy_inputs()
# model_script = torch.jit.script(model)
model_script = torch.jit.trace(model, dummy_input)
model_script.save(os.path.join(path, f'{model.model_name}.torchscripts'))
+ def set_all_random_seed(self, seed: int):
+ random.seed(seed)
+ np.random.seed(seed)
+ torch.random.manual_seed(seed)
def export(self,
tag_name: str = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch',
mode: str = 'paraformer',
@@ -79,9 +88,9 @@
with open(json_file, 'r') as f:
config_data = json.load(f)
mode = config_data['model']['model_config']['mode']
- if mode == 'paraformer':
+ if mode.startswith('paraformer'):
from funasr.tasks.asr import ASRTaskParaformer as ASRTask
- elif mode == 'uniasr':
+ elif mode.startswith('uniasr'):
from funasr.tasks.asr import ASRTaskUniASR as ASRTask
model, asr_train_args = ASRTask.build_model_from_file(
@@ -89,38 +98,6 @@
)
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:
@@ -136,14 +113,23 @@
dummy_input,
os.path.join(path, f'{model.model_name}.onnx'),
verbose=verbose,
- opset_version=12,
+ opset_version=14,
input_names=model.get_input_names(),
output_names=model.get_output_names(),
dynamic_axes=model.get_dynamic_axes()
)
+
if __name__ == '__main__':
- output_dir = "../export"
- export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=False)
- export_model.export('damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
+ import sys
+
+ model_path = sys.argv[1]
+ output_dir = sys.argv[2]
+ onnx = sys.argv[3]
+ onnx = onnx.lower()
+ onnx = onnx == 'true'
+ # model_path = 'damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch'
+ # output_dir = "../export"
+ export_model = ASRModelExportParaformer(cache_dir=output_dir, onnx=onnx)
+ export_model.export(model_path)
# export_model.export('/root/cache/export/damo/speech_paraformer-large_asr_nat-zh-cn-16k-common-vocab8404-pytorch')
\ No newline at end of file
--
Gitblit v1.9.1