From 94cb66dbb9ae12e044a41fb8a3d84e1835ee7e7b Mon Sep 17 00:00:00 2001
From: zhifu gao <zhifu.gzf@alibaba-inc.com>
Date: 星期四, 02 三月 2023 20:20:10 +0800
Subject: [PATCH] Merge pull request #177 from alibaba-damo-academy/dev_timestamp
---
funasr/export/export_model.py | 34 +++++++++++++++++++++++-----------
1 files changed, 23 insertions(+), 11 deletions(-)
diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
index e15390b..3cbf6d2 100644
--- a/funasr/export/export_model.py
+++ b/funasr/export/export_model.py
@@ -7,10 +7,12 @@
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):
@@ -24,13 +26,13 @@
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,
):
@@ -44,20 +46,21 @@
model,
self.export_config,
)
+ 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)
@@ -85,9 +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(
@@ -110,14 +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=True)
- 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
--
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