⚡ Fixed tflite conformer

Author: nglehuy

tensorflow_asr/models/conformer.py

@@ -19,6 +19,7 @@
 from .layers.subsampling import VggSubsampling, Conv2dSubsampling
 from .layers.positional_encoding import PositionalEncoding, PositionalEncodingConcat
 from .layers.multihead_attention import MultiHeadAttention, RelPositionMultiHeadAttention
+from ..utils.utils import shape_list
 
 L2 = tf.keras.regularizers.l2(1e-6)
 
@@ -180,14 +181,15 @@ def __init__(self,
 
     def call(self, inputs, training=False, **kwargs):
         outputs = self.ln(inputs, training=training)
-        outputs = tf.expand_dims(outputs, axis=2)
+        B, T, E = shape_list(outputs)
+        outputs = tf.reshape(outputs, [B, T, 1, E])
         outputs = self.pw_conv_1(outputs, training=training)
         outputs = self.glu(outputs)
         outputs = self.dw_conv(outputs, training=training)
         outputs = self.bn(outputs, training=training)
         outputs = self.swish(outputs)
         outputs = self.pw_conv_2(outputs, training=training)
-        outputs = tf.squeeze(outputs, axis=2)
+        outputs = tf.reshape(outputs, [B, T, E])
         outputs = self.do(outputs, training=training)
         outputs = self.res_add([inputs, outputs])
         return outputs