bugfix: trainer.gpus, trainer.strategy, trainer.accelerator (#7621) (#…

…7642)

* [TTS] bugfix for Tacotron2 tutorial due to PTL 2.0
* trainer.gpus -> trainer.devices
* fixed related tutorial bugs
---------
Signed-off-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>
Co-authored-by: Xuesong Yang <1646669+XuesongYang@users.noreply.github.com>

docs/source/asr/speaker_diarization/datasets.rst

@@ -107,7 +107,7 @@ Prepare the msdd training dataset for both train and validation. After the train
 .. code-block:: bash
 
     python ./multiscale_diar_decoder.py --config-path='../conf/neural_diarizer' --config-name='msdd_5scl_15_05_50Povl_256x3x32x2.yaml' \
-        trainer.gpus=1 \
+        trainer.devices=1 \
         trainer.max_epochs=20  \
         model.base.diarizer.speaker_embeddings.model_path="titanet_large" \
         model.train_ds.manifest_filepath="<train_manifest_path>" \

examples/asr/experimental/k2/align_speech_parallel.py

@@ -46,7 +46,7 @@
 
 python align_speech_parallel.py \
     trainer.precision=16 \
-    trainer.gpus=2 \
+    trainer.devices=2 \
     ...
 
 You may control the dataloader's config by setting the predict_ds:

examples/asr/experimental/k2/speech_to_text_bpe.py

@@ -50,7 +50,7 @@
     model.validation_ds.manifest_filepath=<path to val/test manifest> \
     model.tokenizer.dir=<path to directory of tokenizer (not full path to the vocab file!)> \
     model.tokenizer.type=<either `bpe` or `wpe`> \
-    trainer.gpus=-1 \
+    trainer.devices=-1 \
     trainer.accelerator="ddp" \
     trainer.max_epochs=100 \
     model.optim.name="adamw" \

examples/asr/speech_translation/speech_to_text_transformer.py

@@ -24,7 +24,7 @@
     model.tokenizer.dir=<path to directory of tokenizer (not full path to the vocab file!)> \
     model.tokenizer.model_path=<path to speech tokenizer model> \
     model.tokenizer.type=<either bpe, wpe, or yttm> \
-    trainer.gpus=-1 \
+    trainer.devices=-1 \
     trainer.accelerator="ddp" \
     trainer.max_epochs=100 \
     model.optim.name="adamw" \

examples/nlp/intent_slot_classification/multi_label_intent_slot_classification.py

@@ -19,7 +19,7 @@
             model.data_dir=/home/user/multiatis \
             model.validation_ds.prefix=dev \
             model.test_ds.prefix=dev \
-            trainer.gpus=[0] \
+            trainer.devices=[0] \
             +trainer.fast_dev_run=true \
             exp_manager.exp_dir=checkpoints
 

tutorials/tts/FastPitch_MixerTTS_Training.ipynb

@@ -515,7 +515,7 @@
     "  model.train_ds.dataloader_params.batch_size=24 \\\n",
     "  model.validation_ds.dataloader_params.batch_size=24 \\\n",
     "  exp_manager.exp_dir=./fastpitch_log_dir \\\n",
-    "  model.n_speakers=1 trainer.devices=1 trainer.strategy=null \\\n",
+    "  model.n_speakers=1 trainer.devices=1 trainer.strategy=\"ddp_find_unused_parameters_true\" \\\n",
     ")"
    ]
   },
@@ -565,7 +565,8 @@
     "model.train_ds.dataloader_params.num_workers=0 \\\n",
     "model.validation_ds.dataloader_params.num_workers=0 \\\n",
     "trainer.max_epochs=3 \\\n",
-    "trainer.strategy=null \\\n",
+    "trainer.accelerator=\"gpu\" \\\n",
+    "trainer.strategy=\"ddp_find_unused_parameters_true\" \\\n",
     "trainer.check_val_every_n_epoch=1"
    ]
   },

tutorials/tts/Tacotron2_Training.ipynb

@@ -295,9 +295,9 @@
     "  train_dataset=tests/data/asr/an4_train.json \\\n",
     "  validation_datasets=tests/data/asr/an4_val.json \\\n",
     "  trainer.max_epochs=3 \\\n",
-    "  trainer.accelerator=null \\\n",
+    "  trainer.accelerator='gpu' \\\n",
     "  trainer.check_val_every_n_epoch=1 \\\n",
-    " +trainer.gpus=1)"
+    "  trainer.devices=1)"
    ]
   },
   {

tutorials/tts/Vits_Training.ipynb

@@ -251,7 +251,7 @@
     "  num_nodes: 1\n",
     "  devices: 2\n",
     "  accelerator: gpu\n",
-    "  strategy: ddp\n",
+    "  strategy: ddp_find_unused_parameters_true\n",
     "  precision: 32\n",
     "  max_epochs: -1\n",
     "  accumulate_grad_batches: 1\n",