From db0dd1950f6d619411f8bb8779f59be411a3783e Mon Sep 17 00:00:00 2001
From: 游雁 <zhifu.gzf@alibaba-inc.com>
Date: 星期五, 10 二月 2023 18:50:08 +0800
Subject: [PATCH] export model
---
funasr/export/export_model.py | 44 +++++++++-----------------------------------
1 files changed, 9 insertions(+), 35 deletions(-)
diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
index 514bf55..239fd6c 100644
--- a/funasr/export/export_model.py
+++ b/funasr/export/export_model.py
@@ -9,14 +9,15 @@
from funasr.bin.asr_inference_paraformer import Speech2Text
from funasr.export.models import get_model
-
-
+import numpy as np
+import random
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(
@@ -25,6 +26,7 @@
)
logging.info("output dir: {}".format(self.cache_dir))
self.onnx = onnx
+
def _export(
self,
@@ -61,6 +63,10 @@
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',
@@ -89,38 +95,6 @@
)
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:
--
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