From bcf6be4c902bda2b2ae16ee018bf223d7bf7b590 Mon Sep 17 00:00:00 2001
From: Lizerui9926 <110582652+Lizerui9926@users.noreply.github.com>
Date: 星期三, 08 二月 2023 19:13:57 +0800
Subject: [PATCH] Merge pull request #74 from alibaba-damo-academy/dev_gzf
---
funasr/export/export_model.py | 120 ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
1 files changed, 120 insertions(+), 0 deletions(-)
diff --git a/funasr/export/export_model.py b/funasr/export/export_model.py
new file mode 100644
index 0000000..9a599eb
--- /dev/null
+++ b/funasr/export/export_model.py
@@ -0,0 +1,120 @@
+from typing import Union, Dict
+from pathlib import Path
+from typeguard import check_argument_types
+
+import os
+import logging
+import torch
+
+from funasr.bin.asr_inference_paraformer import Speech2Text
+from funasr.export.models import get_model
+
+
+
+class ASRModelExportParaformer:
+ def __init__(self, cache_dir: Union[Path, str] = None, onnx: bool = True):
+ assert check_argument_types()
+ if cache_dir is None:
+ 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))
+ self.onnx = onnx
+
+ def export(
+ self,
+ model: Speech2Text,
+ tag_name: str = None,
+ verbose: bool = False,
+ ):
+
+ export_dir = self.cache_dir / tag_name.replace(' ', '-')
+ os.makedirs(export_dir, exist_ok=True)
+
+ # export encoder1
+ self.export_config["model_name"] = "model"
+ model = get_model(
+ model,
+ self.export_config,
+ )
+ 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))
+
+
+ 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()
+
+ # 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 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:
+ dummy_input = model.get_dummy_inputs(enc_size)
+ else:
+ dummy_input = model.get_dummy_inputs()
+
+ # model_script = torch.jit.script(model)
+ model_script = model #torch.jit.trace(model)
+
+ torch.onnx.export(
+ model_script,
+ dummy_input,
+ os.path.join(path, f'{model.model_name}.onnx'),
+ verbose=verbose,
+ opset_version=12,
+ 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_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
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