[BugFix] Add missing quotes for auto strategy in tutorial notebooks (#…

…7541) (#7548) * Add missing quotes for auto strategy * Revert trainer.gpus to trainer.devices in Self_Supervised_Pre_Training.ipynb --------- Signed-off-by: Abhishree <[email protected]> Signed-off-by: Abhishree Thittenamane <[email protected]> Co-authored-by: Abhishree Thittenamane <[email protected]>
NVIDIA · Oct 5, 2023 · dc60a47 · dc60a47
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Showing 17 changed files with 23 additions and 23 deletions.
diff --git a/tutorials/asr/ASR_TTS_Tutorial.ipynb b/tutorials/asr/ASR_TTS_Tutorial.ipynb
@@ -553,7 +553,7 @@
     "config.trainer.max_epochs = NUM_EPOCHS\n",
     "\n",
     "config.trainer.devices = 1\n",
-    "config.trainer.strategy = auto  # use 1 device, no need for ddp strategy\n",
+    "config.trainer.strategy = 'auto'  # use 1 device, no need for ddp strategy\n",
     "\n",
     "OmegaConf.resolve(config)"
    ]

diff --git a/tutorials/asr/Self_Supervised_Pre_Training.ipynb b/tutorials/asr/Self_Supervised_Pre_Training.ipynb
@@ -316,7 +316,7 @@
         "  cfg.trainer.devices = 1\n",
         "else:\n",
         "  cfg.trainer.accelerator = 'cpu'\n",
-        "  cfg.trainer.strategy = auto\n",
+        "  cfg.trainer.strategy = 'auto'\n",
         "  cfg.trainer.devices = 0\n",
         "\n",
         "cfg.exp_manager.exp_dir = data_dir + \"/content/exp\"\n",
@@ -538,7 +538,7 @@
         "  cfg.trainer.devices = 1\n",
         "else:\n",
         "  cfg.trainer.accelerator = 'cpu'\n",
-        "  cfg.trainer.strategy = auto\n",
+        "  cfg.trainer.strategy = 'auto'\n",
         "  cfg.trainer.devices = 0\n",
         "\n",
         "cfg.model.tokenizer.dir = data_dir + \"/tokenizers/an4/tokenizer_spe_unigram_v128/\"  # note this is a directory, not a path to a vocabulary file\n",

diff --git a/tutorials/asr/Speech_Commands.ipynb b/tutorials/asr/Speech_Commands.ipynb
@@ -441,7 +441,7 @@
                 "config.trainer.max_epochs = 5\n",
                 "\n",
                 "# Remove distributed training flags\n",
-                "config.trainer.strategy = auto"
+                "config.trainer.strategy = 'auto'"
             ],
             "execution_count": null,
             "outputs": []

diff --git a/tutorials/asr/Voice_Activity_Detection.ipynb b/tutorials/asr/Voice_Activity_Detection.ipynb
@@ -462,7 +462,7 @@
                 "config.trainer.max_epochs = 5\n",
                 "\n",
                 "# Remove distributed training flags\n",
-                "config.trainer.strategy = auto"
+                "config.trainer.strategy = 'auto'"
             ]
         },
         {

diff --git a/tutorials/audio_tasks/speech_enhancement/Speech_Enhancement_with_NeMo.ipynb b/tutorials/audio_tasks/speech_enhancement/Speech_Enhancement_with_NeMo.ipynb
@@ -667,7 +667,7 @@
         "config.trainer.max_epochs = 10\n",
         "\n",
         "# Remove distributed training flags\n",
-        "config.trainer.strategy = auto\n",
+        "config.trainer.strategy = 'auto'\n",
         "\n",
         "# Instantiate the trainer\n",
         "trainer = pl.Trainer(**config.trainer)"
@@ -1144,7 +1144,7 @@
         "config_dual_output.trainer.max_epochs = 10\n",
         "\n",
         "# Remove distributed training flags\n",
-        "config_dual_output.trainer.strategy = auto\n",
+        "config_dual_output.trainer.strategy = 'auto'\n",
         "\n",
         "# Instantiate the trainer\n",
         "trainer = pl.Trainer(**config_dual_output.trainer)\n",

diff --git a/tutorials/nlp/Entity_Linking_Medical.ipynb b/tutorials/nlp/Entity_Linking_Medical.ipynb
@@ -187,7 +187,7 @@
     "cfg.model.validation_ds.data_file = os.path.join(DATA_DIR, \"tiny_example_validation_pairs.tsv\")\n",
     "\n",
     "# remove distributed training flags\n",
-    "cfg.trainer.strategy = auto\n",
+    "cfg.trainer.strategy = 'auto'\n",
     "cfg.trainer.accelerator = None"
    ]
   },

diff --git a/tutorials/nlp/GLUE_Benchmark.ipynb b/tutorials/nlp/GLUE_Benchmark.ipynb
@@ -342,7 +342,7 @@
         "# config.trainer.amp_level = O1\n",
         "\n",
         "# remove distributed training flags\n",
-        "config.trainer.strategy = auto\n",
+        "config.trainer.strategy = 'auto'\n",
         "\n",
         "# setup max number of steps to reduce training time for demonstration purposes of this tutorial\n",
         "config.trainer.max_steps = 128\n",

diff --git a/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb b/tutorials/nlp/Joint_Intent_and_Slot_Classification.ipynb
@@ -286,7 +286,7 @@
                 "# config.trainer.amp_level = O1\n",
                 "\n",
                 "# remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "# setup a small number of epochs for demonstration purposes of this tutorial\n",
                 "config.trainer.max_epochs = 5\n",
@@ -705,7 +705,7 @@
                 "config.trainer.accelerator = accelerator\n",
                 "\n",
                 "# remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "trainer = pl.Trainer(**config.trainer)\n",
                 "config.exp_manager.exp_dir = os.path.join(DATA_DIR, \"output/\" + run_name)\n",

diff --git a/tutorials/nlp/Punctuation_and_Capitalization.ipynb b/tutorials/nlp/Punctuation_and_Capitalization.ipynb
@@ -550,7 +550,7 @@
                 "config.trainer.max_epochs = 1\n",
                 "\n",
                 "# Remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "trainer = pl.Trainer(**config.trainer)"
             ]
@@ -745,7 +745,7 @@
                 "config.trainer.accelerator = accelerator\n",
                 "config.trainer.precision = 16 if torch.cuda.is_available() else 32\n",
                 "config.trainer.max_epochs = 1\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "# Exp manager\n",
                 "config.exp_manager.explicit_log_dir = 'tarred_experiment'\n",

diff --git a/tutorials/nlp/Punctuation_and_Capitalization_Lexical_Audio.ipynb b/tutorials/nlp/Punctuation_and_Capitalization_Lexical_Audio.ipynb
@@ -645,7 +645,7 @@
     "config.trainer.max_epochs = 1\n",
     "\n",
     "# Remove distributed training flags\n",
-    "config.trainer.strategy = auto\n",
+    "config.trainer.strategy = 'auto'\n",
     "config.exp_manager.use_datetime_version=False\n",
     "config.exp_manager.explicit_log_dir='Punctuation_And_Capitalization_Lexical_Audio'\n",
     "\n",
@@ -860,7 +860,7 @@
     "config.trainer.accelerator = accelerator\n",
     "config.trainer.precision = 16 if torch.cuda.is_available() else 32\n",
     "config.trainer.max_epochs = 1\n",
-    "config.trainer.strategy = auto\n",
+    "config.trainer.strategy = 'auto'\n",
     "\n",
     "# Exp manager\n",
     "config.exp_manager.explicit_log_dir = 'tarred_experiment'\n",

diff --git a/tutorials/nlp/Relation_Extraction-BioMegatron.ipynb b/tutorials/nlp/Relation_Extraction-BioMegatron.ipynb
@@ -403,7 +403,7 @@
                 "config.trainer.precision = 16 if torch.cuda.is_available() else 32\n",
                 "\n",
                 "# remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "trainer = pl.Trainer(**config.trainer)"
             ]

diff --git a/tutorials/nlp/Text_Classification_Sentiment_Analysis.ipynb b/tutorials/nlp/Text_Classification_Sentiment_Analysis.ipynb
@@ -370,7 +370,7 @@
                 "# config.trainer.amp_level = O1\n",
                 "\n",
                 "# disable distributed training when using Colab to prevent the errors\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "# setup max number of steps to reduce training time for demonstration purposes of this tutorial\n",
                 "# Training stops when max_step or max_epochs is reached (earliest)\n",
@@ -573,7 +573,7 @@
                 "# create a copy of the trainer config and update it to be used for final evaluation\n",
                 "eval_trainer_cfg = config.trainer.copy()\n",
                 "eval_trainer_cfg.accelerator = 'gpu' if torch.cuda.is_available() else 'cpu' # it is safer to perform evaluation on single GPU as PT is buggy with the last batch on multi-GPUs\n",
-                "eval_trainer_cfg.strategy = auto # 'ddp' is buggy with test process in the current PT, it looks like it has been fixed in the latest master\n",
+                "eval_trainer_cfg.strategy = 'auto' # 'ddp' is buggy with test process in the current PT, it looks like it has been fixed in the latest master\n",
                 "eval_trainer = pl.Trainer(**eval_trainer_cfg)\n",
                 "\n",
                 "eval_trainer.test(model=eval_model, verbose=False) # test_dataloaders=eval_dataloader,\n"

diff --git a/tutorials/nlp/Token_Classification-BioMegatron.ipynb b/tutorials/nlp/Token_Classification-BioMegatron.ipynb
@@ -434,7 +434,7 @@
                 "config.trainer.precision = 16 if torch.cuda.is_available() else 32\n",
                 "\n",
                 "# remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "trainer = pl.Trainer(**config.trainer)"
             ]

diff --git a/tutorials/nlp/Token_Classification_Named_Entity_Recognition.ipynb b/tutorials/nlp/Token_Classification_Named_Entity_Recognition.ipynb
@@ -533,7 +533,7 @@
         "# config.trainer.amp_level = O1\n",
         "\n",
         "# remove distributed training flags\n",
-        "config.trainer.strategy = auto\n",
+        "config.trainer.strategy = 'auto'\n",
         "\n",
         "# setup max number of steps to reduce training time for demonstration purposes of this tutorial\n",
         "config.trainer.max_steps = 32\n",

diff --git a/tutorials/nlp/Zero_Shot_Intent_Recognition.ipynb b/tutorials/nlp/Zero_Shot_Intent_Recognition.ipynb
@@ -400,7 +400,7 @@
                 "# config.trainer.amp_level = O1\n",
                 "\n",
                 "# remove distributed training flags\n",
-                "config.trainer.strategy = auto\n",
+                "config.trainer.strategy = 'auto'\n",
                 "\n",
                 "# setup max number of steps to reduce training time for demonstration purposes of this tutorial\n",
                 "config.trainer.max_steps = 128\n",

diff --git a/tutorials/speaker_tasks/Speaker_Diarization_Training.ipynb b/tutorials/speaker_tasks/Speaker_Diarization_Training.ipynb
@@ -761,7 +761,7 @@
    "source": [
     "config.model.diarizer.speaker_embeddings.model_path=\"titanet_large\"\n",
     "config.trainer.max_epochs = 5\n",
-    "config.trainer.strategy = auto"
+    "config.trainer.strategy = 'auto'"
    ]
   },
   {

diff --git a/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb b/tutorials/speaker_tasks/Speaker_Identification_Verification.ipynb
@@ -475,7 +475,7 @@
     "config.trainer.max_epochs = 10\n",
     "\n",
     "# Remove distributed training flags\n",
-    "config.trainer.strategy = auto\n",
+    "config.trainer.strategy = 'auto'\n",
     "\n",
     "# Remove augmentations\n",
     "config.model.train_ds.augmentor=None"