游雁
2023-02-23 7bb2dfba0cb98c0eaaa18b2dfbb47a647eac9d58
funasr/export/export_model.py
@@ -24,7 +24,7 @@
            feats_dim=560,
            onnx=False,
        )
        logging.info("output dir: {}".format(self.cache_dir))
        print("output dir: {}".format(self.cache_dir))
        self.onnx = onnx
        
@@ -44,13 +44,14 @@
            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):
@@ -85,9 +86,9 @@
            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(
@@ -117,7 +118,15 @@
        )
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')