fix export and run.sh

deepspeech/modules/conv.py

@@ -115,7 +115,7 @@ class ConvBn(nn.Layer):
         masks = masks.unsqueeze(1).unsqueeze(1)  # [B, 1, 1, T]
         # TODO(Hui Zhang): not support bool multiply
         # masks = masks.type_as(x)
-        masks = masks.astype(x)
+        masks = masks.astype(x.dtype)
         x = x.multiply(masks)
 
         return x, x_len

deepspeech/modules/rnn.py

@@ -309,6 +309,6 @@ class RNNStack(nn.Layer):
             masks = make_non_pad_mask(x_len)  #[B, T]
             masks = masks.unsqueeze(-1)  # [B, T, 1]
             # TODO(Hui Zhang): not support bool multiply
-            masks = masks.type_as(x)
+            masks = masks.astype(x.dtype)
             x = x.multiply(masks)
         return x, x_len

examples/aishell/s0/run.sh

@@ -26,7 +26,7 @@ fi
 
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     # avg n best model
-    ./local/avg.sh exp/${ckpt}/checkpoints ${avg_num}
+    avg.sh exp/${ckpt}/checkpoints ${avg_num}
 fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then

examples/aishell/s1/run.sh

@@ -25,7 +25,7 @@ fi
 
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     # avg n best model
-    ./local/avg.sh exp/${ckpt}/checkpoints ${avg_num}
+    avg.sh exp/${ckpt}/checkpoints ${avg_num}
 fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then

examples/librispeech/s0/run.sh

@@ -24,7 +24,7 @@ fi
 
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     # avg n best model
-    ./local/avg.sh exp/${ckpt}/checkpoints ${avg_num}
+    avg.sh exp/${ckpt}/checkpoints ${avg_num}
 fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then

examples/librispeech/s1/run.sh

@@ -24,7 +24,7 @@ fi
 
 if [ ${stage} -le 2 ] && [ ${stop_stage} -ge 2 ]; then
     # avg n best model
-    ./local/avg.sh exp/${ckpt}/checkpoints ${avg_num}
+    avg.sh exp/${ckpt}/checkpoints ${avg_num}
 fi
 
 if [ ${stage} -le 3 ] && [ ${stop_stage} -ge 3 ]; then