huangmingming
2023-01-30 adcee8828ef5d78b575043954deb662a35e318f7
funasr/models/encoder/conformer_encoder.py
@@ -41,7 +41,7 @@
from funasr.modules.subsampling import Conv2dSubsampling8
from funasr.modules.subsampling import TooShortUttError
from funasr.modules.subsampling import check_short_utt
from funasr.modules.subsampling import Conv2dSubsamplingPad
class ConvolutionModule(nn.Module):
    """ConvolutionModule in Conformer model.
@@ -386,6 +386,13 @@
                dropout_rate,
                pos_enc_class(output_size, positional_dropout_rate),
            )
        elif input_layer == "conv2dpad":
            self.embed = Conv2dSubsamplingPad(
                input_size,
                output_size,
                dropout_rate,
                pos_enc_class(output_size, positional_dropout_rate),
            )
        elif input_layer == "conv2d2":
            self.embed = Conv2dSubsampling2(
                input_size,
@@ -546,6 +553,7 @@
                or isinstance(self.embed, Conv2dSubsampling2)
                or isinstance(self.embed, Conv2dSubsampling6)
                or isinstance(self.embed, Conv2dSubsampling8)
                or isinstance(self.embed, Conv2dSubsamplingPad)
        ):
            short_status, limit_size = check_short_utt(self.embed, xs_pad.size(1))
            if short_status: