From c2dee5e3c29eba79e591d9e9caebaef15ea4e56b Mon Sep 17 00:00:00 2001
From: hnluo <haoneng.lhn@alibaba-inc.com>
Date: 星期四, 29 六月 2023 11:09:28 +0800
Subject: [PATCH] Merge pull request #687 from alibaba-damo-academy/dev_lhn

---
 funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py |   27 +++++++++++++++++++++++++--
 1 files changed, 25 insertions(+), 2 deletions(-)

diff --git a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py b/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
index e3ef8c7..f3e0f3d 100644
--- a/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
+++ b/funasr/runtime/python/onnxruntime/funasr_onnx/paraformer_bin.py
@@ -1,4 +1,6 @@
 # -*- encoding: utf-8 -*-
+# Copyright FunASR (https://github.com/alibaba-damo-academy/FunASR). All Rights Reserved.
+#  MIT License  (https://opensource.org/licenses/MIT)
 
 import os.path
 from pathlib import Path
@@ -19,20 +21,41 @@
 
 
 class Paraformer():
+    """
+    Author: Speech Lab of DAMO Academy, Alibaba Group
+    Paraformer: Fast and Accurate Parallel Transformer for Non-autoregressive End-to-End Speech Recognition
+    https://arxiv.org/abs/2206.08317
+    """
     def __init__(self, model_dir: Union[str, Path] = None,
                  batch_size: int = 1,
                  device_id: Union[str, int] = "-1",
                  plot_timestamp_to: str = "",
                  quantize: bool = False,
                  intra_op_num_threads: int = 4,
+                 cache_dir: str = None
                  ):
 
         if not Path(model_dir).exists():
-            raise FileNotFoundError(f'{model_dir} does not exist.')
-
+            from modelscope.hub.snapshot_download import snapshot_download
+            try:
+                model_dir = snapshot_download(model_dir, cache_dir=cache_dir)
+            except:
+                raise "model_dir must be model_name in modelscope or local path downloaded from modelscope, but is {}".format(model_dir)
+        
         model_file = os.path.join(model_dir, 'model.onnx')
         if quantize:
             model_file = os.path.join(model_dir, 'model_quant.onnx')
+        if not os.path.exists(model_file):
+            print(".onnx is not exist, begin to export onnx")
+            from funasr.export.export_model import ModelExport
+            export_model = ModelExport(
+                cache_dir=cache_dir,
+                onnx=True,
+                device="cpu",
+                quant=quantize,
+            )
+            export_model.export(model_dir)
+            
         config_file = os.path.join(model_dir, 'config.yaml')
         cmvn_file = os.path.join(model_dir, 'am.mvn')
         config = read_yaml(config_file)

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