rm uesless comment

examples/aishell/asr1/conf/chunk_conformer.yaml

@@ -90,7 +90,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-6
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/aishell/asr1/conf/transformer.yaml

@@ -80,7 +80,7 @@ training:
   optim_conf:
     lr: 0.002
     weight_decay: 1e-6
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/callcenter/asr1/conf/chunk_conformer.yaml

@@ -88,7 +88,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-6
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/callcenter/asr1/conf/conformer.yaml

@@ -83,7 +83,7 @@ training:
   optim_conf:
     lr: 0.002
     weight_decay: 1e-6
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/librispeech/asr1/conf/chunk_conformer.yaml

@@ -90,7 +90,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/librispeech/asr1/conf/chunk_transformer.yaml

@@ -83,7 +83,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/librispeech/asr1/conf/conformer.yaml

@@ -86,7 +86,7 @@ training:
   optim_conf:
     lr: 0.004
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/librispeech/asr2/conf/transformer.yaml

@@ -75,7 +75,7 @@ optim: adam
 optim_conf:
   global_grad_clip: 5.0
   weight_decay: 1.0e-06
-scheduler: warmuplr     # pytorch v1.1.0+ required
+scheduler: warmuplr     
 scheduler_conf:
   lr: 0.004
   warmup_steps: 25000

examples/ted_en_zh/st0/conf/transformer.yaml

@@ -82,7 +82,7 @@ training:
   optim_conf:
     lr: 0.004
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/ted_en_zh/st1/conf/transformer.yaml

@@ -82,7 +82,7 @@ training:
   optim_conf:
     lr: 0.004
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/timit/asr1/conf/transformer.yaml

@@ -80,7 +80,7 @@ training:
   optim_conf:
     lr: 0.004
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 1200
     lr_decay: 1.0

examples/tiny/asr1/conf/chunk_confermer.yaml

@@ -90,7 +90,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/tiny/asr1/conf/chunk_transformer.yaml

@@ -83,7 +83,7 @@ training:
   optim_conf:
     lr: 0.002
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/tiny/asr1/conf/conformer.yaml

@@ -86,7 +86,7 @@ training:
   optim_conf:
     lr: 0.002
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/tiny/asr1/conf/transformer.yaml

@@ -80,7 +80,7 @@ training:
   optim_conf:
     lr: 0.002
     weight_decay: 1e-06
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 25000
     lr_decay: 1.0

examples/wenetspeech/asr1/conf/conformer.yaml

@@ -87,7 +87,7 @@ training:
   optim_conf:
     lr: 0.001
     weight_decay: 1e-6
-  scheduler: warmuplr     # pytorch v1.1.0+ required
+  scheduler: warmuplr     
   scheduler_conf:
     warmup_steps: 5000
     lr_decay: 1.0