updated example usage

Signed-off-by: ericharper <[email protected]>

examples/asr/speech_to_text.py

@@ -25,14 +25,14 @@
         model.train_ds.manifest_filepath="/Users/okuchaiev/Data/an4_dataset/an4_train.json" \
         model.validation_ds.manifest_filepath="/Users/okuchaiev/Data/an4_dataset/an4_val.json" \
         hydra.run.dir="." \
-        pl.trainer.gpus=0 \
-        pl.trainer.max_epochs=50
+        trainer.gpus=0 \
+        trainer.max_epochs=50
 
 
 Add PyTorch Lightning Trainer arguments from CLI:
     python speech_to_text.py \
         ... \
-        +pl.trainer.fast_dev_run=true
+        +trainer.fast_dev_run=true
 
 Hydra logs will be found in "$(./outputs/$(date +"%y-%m-%d")/$(date +"%H-%M-%S")/.hydra)"
 PTL logs will be found in "$(./outputs/$(date +"%y-%m-%d")/$(date +"%H-%M-%S")/lightning_logs)"
@@ -42,8 +42,8 @@
     model.train_ds.manifest_filepath="./an4/train_manifest.json" \
     model.validation_ds.manifest_filepath="./an4/test_manifest.json" \
     hydra.run.dir="." \
-    pl.trainer.gpus=2 \
-    pl.trainer.max_epochs=2 \
+    trainer.gpus=2 \
+    trainer.max_epochs=2 \
     model.optim.args.params.betas=[0.8,0.5] \
     model.optim.args.params.weight_decay=0.0001
 
@@ -52,8 +52,8 @@
     model.train_ds.manifest_filepath="./an4/train_manifest.json" \
     model.validation_ds.manifest_filepath="./an4/test_manifest.json" \
     hydra.run.dir="." \
-    pl.trainer.gpus=2 \
-    pl.trainer.max_epochs=2 \
+    trainer.gpus=2 \
+    trainer.max_epochs=2 \
     model.optim.name=adamw \
     model.optim.lr=0.001 \
     ~model.optim.args \

examples/asr/speech_to_text_bpe.py

@@ -17,9 +17,9 @@
     model.train_ds.manifest_filepath="./an4/train_manifest.json" \
     model.validation_ds.manifest_filepath="./an4/test_manifest.json" \
     model.tokenizer.path="./an4/tokenizer/LibriSpeechTokenizer/librispeech_tokenizer_bpe_v1024/" \
-    pl.trainer.gpus=2 \
-    pl.trainer.distributed_backend="ddp" \
-    pl.trainer.max_epochs=100 \
+    trainer.gpus=2 \
+    trainer.distributed_backend="ddp" \
+    trainer.max_epochs=100 \
     model.optim.name="adamw" \
     model.optim.lr=0.1 \
     model.optim.args.params.betas=[0.9,0.999] \

examples/speaker_recognition/speaker_reco.py

@@ -29,14 +29,14 @@
         model.train_ds.manifest_filepath="<train_manifest_file>" \
         model.validation_ds.manifest_filepath="<validation_manifest_file>" \
         hydra.run.dir="." \
-        pl.trainer.gpus=0 \
-        pl.trainer.max_epochs=50
+        trainer.gpus=0 \
+        trainer.max_epochs=50
 
 
 Add PyTorch Lightning Trainer arguments from CLI:
     python speaker_reco.py \
         ... \
-        +pl.trainer.fast_dev_run=true
+        +trainer.fast_dev_run=true
 
 Hydra logs will be found in "$(./outputs/$(date +"%y-%m-%d")/$(date +"%H-%M-%S")/.hydra)"
 PTL logs will be found in "$(./outputs/$(date +"%y-%m-%d")/$(date +"%H-%M-%S")/lightning_logs)"