Add SDXL support to NeMo #787
cicd-main.yml
on: pull_request
cicd-cluster-clean
41s
gpu-test
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L0_Unit_Tests_GPU
16m 51s
L0_Unit_Tests_CPU
19m 45s
L2_Community_LLM_Checkpoints_tests_Llama
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L2_Community_LLM_Checkpoints_tests_StarCoder
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L2_Community_LLM_Checkpoints_tests_Falcon
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L2_Community_LLM_Checkpoints_tests_Baichuan2
1m 48s
ASR_dev_run_Speech_to_Text
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ASR_dev_run_Speech_to_Text_WPE_-_CitriNet
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ASR_dev_run_Speech_Pre-training_-_CitriNet
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ASR_dev_run_Speech_To_Text_Finetuning
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ASR_dev_run_Speech_To_Text_HF_Finetuning
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ASR_dev_run_Speech_to_Text_WPE_-_Conformer
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ASR_dev_run-part_two_Speech_to_Text_WPE_-_Squeezeformer
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L2_Speech_to_Text_EMA
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L2_Speaker_dev_run_Speaker_Recognition
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L2_Speaker_dev_run_Speaker_Diarization
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L2_Speaker_dev_run_Speech_to_Label
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L2_Speaker_dev_run_Speaker_Diarization_with_ASR_Inference
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L2_Speaker_dev_run_Clustering_Diarizer_Inference
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L2_Speaker_dev_run_Neural_Diarizer_Inference
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L2_Speaker_dev_run_Multispeaker_ASR_Data_Simulation
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L2_ASR_Multi-dataloader_dev_run_Speech_to_Text_multi-dataloader
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L2_ASR_Multi-dataloader_dev_run_Speech_to_Label_multi-dataloader
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L2_ASR_Adapters_Linear_Adapters
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L2_ASR_Adapters_RelPos_MHA_Adapters
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L2_Speech_Transcription_Speech_to_Text_Transcribe
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L2_Transducer_alignment_Running_pytest
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L2_Segmentation_Tool_Parallel_ctc_segmentation_test_L2_Eng_CitriNet_with_wav
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L2_Segmentation_Tool_Parallel_ctc_segmentation_test_L2_Ru_QN_with_mp3
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L2_G2P_Models_G2P_Conformer_training_evaluation_and_inference
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L2_G2P_Models_HeteronymClassificationModel_training_evaluation_and_inference
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L2_Dialogue_Classification_Intent_and_slot_classification_using_SGDQA
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L2_Dialogue_Classification_Intent_and_slot_classification_using_IntentSlotClassificationModel
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L2_Dialogue_Classification_Intent_classification_using_ZeroShotIntentModel
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L2_Dialogue_Classification_Design_Intent_classification_using_ZeroShotIntentModel
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L2_Dialogue_Classification_Design_Intent_classification_using_ZeroShotIntentModel_BART_Classifier
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L2_Dialogue_Classification_Design_Intent_classification_using_DialogueNearestNeighbourModel
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L2_Dialogue_Generation_Dialogue_Answer_Extender_using_DialogueS2SGenerationModel
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L2_Dialogue_Generation_Dialogue_SGD_Based_Answer_Extender_using_DialogueS2SGenerationModel
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L2_COPY_Dialogue_Answer_Extender_using_DialogueGPTGenerationModel
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L2_Duplex_Text_Normalization_with_Tarred_dataset
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L2_BERT_Text_Classification_with_BERT_Test
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L2_Parallel_BERT_Question-Answering_SQUAD_v1_1
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L2_Parallel_BERT_Question-Answering_SQUAD_v2_0
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L2_Parallel_BART_Question-Answering_SQUAD_v1_1
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L2_Parallel_BART_Question-Answering_SQUAD_v2_0
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L2_Parallel_GPT2_Question-Answering_SQUAD_v1_1
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L2_Parallel_GPT2_Question-Answering_SQUAD_v2_0
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L2_Intent_and_Slot_Classification_Tasks_Intent_and_Slot_Classification
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L2_Intent_and_Slot_Classification_Tasks_Multi-Label_Intent_and_Slot_Classification
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L2_Parallel_NLP_Examples2_NER_finetuning_from_pretrained_Test
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L2_Parallel_NLP_Examples2_Punctuation_and_capitalization_finetuning_from_pretrained_test
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L2_Parallel_NLP_Examples2_NER_with_TurkuNLP__bert-base-finnish-cased-v1
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L2_Parallel_NLP_Examples2_Evaluation_script_for_Token_Classification
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L2_Parallel_NLP_Examples2_Evaluation_script_for_Punctuation
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L2_Parallel_NLP_Examples2_Punctuation_Capitalization_2GPUs_with_DistilBERT_Finetuning_on_other_data
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Punctuation_Capitalization_tarred_dataset_create_and_use_tarred_dataset
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Punctuation_Capitalization_Using_model-common_datasets_parameters-label_vocab_dir
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Punctuation_Capitalization_inference_Restore_punctuation_and_capitalization_in_long_text
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L2_Pretraining_BERT_pretraining_from_Text
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L2_Pretraining_BERT_from_Preprocessed
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L2_Entity_Linking_Self_Alignment_Pretraining_BERT
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L2_NMT_Attention_is_All_You_Need_Training_NMT_Training_Post-LN
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L2_NMT_Attention_is_All_You_Need_Training_NMT_Training_Pre-LN
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L2_NMT_Attention_is_All_You_Need_Training_NMT_Multi-Validation
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L2_NMT_Attention_is_All_You_Need_Inference
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L2_NMT_Attention_is_All_You_Need_Finetuning
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L2_NMT_Tarred_Dataset_Creation_Auto_Tarred_Dataset_Creation
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L2_NMT_Tarred_Dataset_Creation_Script_Tarred_Dataset_Creation
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L2_Megatron_NMT_Training_TP2
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L2_Megatron_BART_Perceiver_MIM_Training_TP2
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L2_Megatron_Bert_Pretraining_and_Resume_Training_with_Pipeline_Parallelism
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L2_Megatron_Bert_Pretraining_and_Resume_Training
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L2_Megatron_Core_Bert_Pretraining_and_Resume_Training
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L2_Megatron_RETRO_Pretraining_and_Resume_Training
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L2_BioMegatron_Bert_NER_Task
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L2_Megatron_GPT_Pretraining_and_Resume_Training_TP2
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L2_Megatron_GPT_with_Rope_Pretraining_and_Resume_Training_TP2
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L2_Megatron_GPT_with_ALiBi_Pretraining_and_Resume_Training_TP2
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L2_Megatron_GPT_with_KERPLE_Pretraining_and_Resume_Training_TP2
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L2_Megatron_GPT_Pretraining_and_Resume_Training_PP2
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L2_Megatron_GPT_Finetuning_PP2
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L2_Megatron_GPT_Finetuning_StarCoder_PP1
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L2_Megatron_GPT_PEFT_Lora_PP2
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L2_Megatron_GPT_PEFT_Lora_TP2
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L2_Megatron_GPT_Eval
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L2_Megatron_GPT_Eval_PP2
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L2_Megatron_GPT_SFT_Eval_inference_seq_len_greaterThan_training_seq_len
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L2_Megatron_Change_Partitions_Reduce_TP_Num_Partitions_-2_to_1-_and_PP_Num_Partitions_-1_to_2
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L2_Megatron_Change_Partitions_Increase_TP_Num_Partitions_-2_to_4-_and_PP_Num_Partitions_-1_to_2
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L2_Megatron_T5_Pretraining_and_Resume_Training_TP2
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L2_Megatron_T5_with_ALiBi_Pretraining_and_Resume_Training_TP2
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L2_Megatron_T5_with_KERPLE_Pretraining_and_Resume_Training_TP2
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L2_Megatron_T5_Pretraining_and_Resume_Training_PP2
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L2_Megatron_T5_w_Mixture_of_Expert_Pretraining
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L2_Megatron_UL2_Pretraining_and_Resume_Training_TP2
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L2_Megatron_T5_Eval
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L2_Megatron_BART_Pretraining_and_Resume_Training_TP2
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L2_Megatron_BART_Pretraining_and_Resume_Training_PP2
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L2_Megatron_T5_GLUE_RTE
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L2_Megatron_T5_GLUE_XNLI
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L2_Megatron_T5_PEFT_Lora_TP2
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L2_Megatron_Mock_Data_Generation_MockGPTDataset
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L2_Megatron_Mock_Data_Generation_MockT5Dataset
1m 11s
L2_TTS_Fast_dev_runs_1_Tacotron_2
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L2_TTS_Fast_dev_runs_1_WaveGlow
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L2_TTS_Fast_dev_runs_1_FastPitch
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L2_TTS_Fast_dev_runs_1_RADTTS
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L2_TTS_Fast_dev_runs_1_Mixer-TTS
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L2_TTS_Fast_dev_runs_1_Hifigan
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Speech_Checkpoints_tests
1m 11s
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