Rename 'res' in line 514 to avoid with naming conflict with line 365

liugz18

2024-07-18 d80ac2fd2df4e7fb8a28acfa512bb11472b5cc99

 funasr/models/fsmn_vad_streaming/export_meta.py

@@ -12,7 +12,7 @@
    is_onnx = kwargs.get("type", "onnx") == "onnx"
    encoder_class = tables.encoder_classes.get(kwargs["encoder"] + "Export")
    model.encoder = encoder_class(model.encoder, onnx=is_onnx)
    

    model.forward = types.MethodType(export_forward, model)
    model.export_dummy_inputs = types.MethodType(export_dummy_inputs, model)
    model.export_input_names = types.MethodType(export_input_names, model)
@@ -22,38 +22,44 @@

    return model


def export_forward(self, feats: torch.Tensor, *args, **kwargs):
    

    scores, out_caches = self.encoder(feats, *args)
    

    return scores, out_caches


def export_dummy_inputs(self, data_in=None, frame=30):
    if data_in is None:
        speech = torch.randn(1, frame, self.encoder_conf.get("input_dim"))
    else:
        speech = None # Undo
    
        speech = None  # Undo

    cache_frames = self.encoder_conf.get("lorder") + self.encoder_conf.get("rorder") - 1
    in_cache0 = torch.randn(1, self.encoder_conf.get("proj_dim"), cache_frames, 1)
    in_cache1 = torch.randn(1, self.encoder_conf.get("proj_dim"), cache_frames, 1)
    in_cache2 = torch.randn(1, self.encoder_conf.get("proj_dim"), cache_frames, 1)
    in_cache3 = torch.randn(1, self.encoder_conf.get("proj_dim"), cache_frames, 1)
    

    return (speech, in_cache0, in_cache1, in_cache2, in_cache3)


def export_input_names(self):
    return ['speech', 'in_cache0', 'in_cache1', 'in_cache2', 'in_cache3']
    return ["speech", "in_cache0", "in_cache1", "in_cache2", "in_cache3"]


def export_output_names(self):
    return ['logits', 'out_cache0', 'out_cache1', 'out_cache2', 'out_cache3']
    return ["logits", "out_cache0", "out_cache1", "out_cache2", "out_cache3"]


def export_dynamic_axes(self):
    return {
        'speech': {
            1: 'feats_length'
        },
        "speech": {1: "feats_length"},
    }

def export_name(self, ):

def export_name(
    self,
):
    return "model.onnx"