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remove 8x3b recipes (#10764)
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2024-10-07T17:28:39
2024-10-08T00:37:16
2024-10-08T00:37:15
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* remove 8x3b recipes * remove 8x3b from test_nemo_run * rm from __init__ --------- # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Unable to merge lora weights: "world_size (1) is not divisible by 4"
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[ "## Fix\n\nIn the `model_config.yaml` of the .nemo checkpoint downloaded from [Hugging Face](https://huggingface.co/nvidia/Minitron-4B-Base), the `tensor_model_parallel_size` is set to 4:\n\n```\ntensor_model_parallel_size: 4\n```\n\nIf you untar the `.nemo` checkpoint, change the value of `tensor_model_parallel_size` to 1 and then retar the .nemo checkpoint, it will allow the `merge_lora_weights/merge.py` script to work with a single GPU. \n\n### Steps\n1. Untar the nemo checkpoint\n```sh\ntar -xf minitron-4b-base.nemo\n```\n\n2. Move the original checkpoint to a safe location to avoid needing to redownload if something goes wrong and to get it out of the way for running tar later\n`mv minitron-4b-base.nemo ../`\n\n3. Modify `tensor_model_parallel_size` \n```sh\nvim model_config.yaml\n```\n\n```diff\nmcore_gpt: true\nmicro_batch_size: 4\nglobal_batch_size: 1152\n-- tensor_model_parallel_size: 4\n++ tensor_model_parallel_size: 1\npipeline_model_parallel_size: 1\nvirtual_pipeline_model_parallel_size: null\nencoder_seq_length: 4096\nmax_position_embeddings: 4096\nnum_layers: 32\nhidden_size: 3072\n...\n```\n\n4. Rebuild the nemo checkpoint (tar everything in this directory)\n```sh\ntar -cvf minitron-4b-base.nemo *\n```\n\n", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale." ]
2024-10-07T15:04:35
2024-11-17T02:05:18
2024-11-17T02:05:17
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**Describe the bug** When running `merge_lora_weights/merge.py` with TP and PP set to 1 on a fine-tuned minitron checkpoint, I run into the following error: ```sh raise RuntimeError(f"world_size ({world_size}) is not divisible by {total_model_size}") [rank0]: RuntimeError: world_size (1) is not divisible by 4 ``` The world size should be 1 because the node I'm using only has a single A100 GPU, however, it is unclear why it's trying to split by 4. Link to `parallel_state.py` where the error is raised: https://github.com/NVIDIA/Megatron-LM/blob/73e7b58e79df9da521ff31d74053579b7a060c7e/megatron/core/parallel_state.py#L531 **Full Traceback** ```python-traceback (base) [ema8@node0414 syn_data_PEFT_exp]$ sh merge_lora_weights.sh 15:4: not a valid test operator: 15:4: not a valid test operator: 12.5 21:4: not a valid test operator: ( 21:4: not a valid test operator: 550.54.15 rm: cannot remove '/usr/local/cuda/compat/lib': Read-only file system [NeMo W 2024-10-07 10:34:46 nemo_logging:349] /opt/megatron-lm/megatron/core/tensor_parallel/layers.py:289: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. def forward(ctx, input, weight, bias, allreduce_dgrad): [NeMo W 2024-10-07 10:34:46 nemo_logging:349] /opt/megatron-lm/megatron/core/tensor_parallel/layers.py:300: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead. def backward(ctx, grad_output): [NeMo W 2024-10-07 10:34:46 nemo_logging:349] /opt/megatron-lm/megatron/core/tensor_parallel/layers.py:392: FutureWarning: `torch.cuda.amp.custom_fwd(args...)` is deprecated. Please use `torch.amp.custom_fwd(args..., device_type='cuda')` instead. def forward( [NeMo W 2024-10-07 10:34:46 nemo_logging:349] /opt/megatron-lm/megatron/core/tensor_parallel/layers.py:432: FutureWarning: `torch.cuda.amp.custom_bwd(args...)` is deprecated. Please use `torch.amp.custom_bwd(args..., device_type='cuda')` instead. def backward(ctx, grad_output): [NeMo W 2024-10-07 10:34:47 nemo_logging:349] /opt/megatron-lm/megatron/core/dist_checkpointing/strategies/torch.py:17: DeprecationWarning: `torch.distributed._sharded_tensor` will be deprecated, use `torch.distributed._shard.sharded_tensor` instead from torch.distributed._sharded_tensor import ShardedTensor as TorchShardedTensor [NeMo W 2024-10-07 10:34:48 nemo_logging:349] /opt/megatron-lm/megatron/core/transformer/attention.py:29: DeprecationWarning: The 'megatron.core.transformer.custom_layers.transformer_engine' module is deprecated and will be removed in 0.10.0. Please use 'megatron.core.extensions.transformer_engine' instead. from megatron.core.transformer.custom_layers.transformer_engine import SplitAlongDim [NeMo W 2024-10-07 10:34:49 nemo_logging:349] /opt/NeMo/nemo/collections/nlp/models/language_modeling/megatron_base_prompt_learning_model.py:181: DeprecationWarning: invalid escape sequence '\{' "prompt_template_fields": re.findall("\{(.*?)\}", task.prompt_template), [NeMo W 2024-10-07 10:34:49 nemo_logging:349] /opt/NeMo/nemo/collections/nlp/models/language_modeling/megatron_base_model.py:389: DeprecationWarning: invalid escape sequence '\.' return re.fullmatch("[0-9][0-9]\.[0-9][0-9].*", nvidia_torch_version) # "YY.MM.*" [NeMo W 2024-10-07 10:34:49 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/modelopt/torch/quantization/tensor_quant.py:168: FutureWarning: `torch.library.impl_abstract` was renamed to `torch.library.register_fake`. Please use that instead; we will remove `torch.library.impl_abstract` in a future version of PyTorch. quantize_op_abstract = torch.library.impl_abstract("tensorrt::quantize_op")( [NeMo W 2024-10-07 10:34:50 nemo_logging:349] /opt/NeMo/nemo/collections/nlp/modules/common/megatron/vocab_parallel_cross_entropy.py:88: DeprecationWarning: invalid escape sequence '\s' """ [NeMo W 2024-10-07 10:34:51 nemo_logging:349] /opt/NeMo/nemo/collections/asr/parts/utils/wfst_utils.py:1328: DeprecationWarning: invalid escape sequence '\d' width, height = re.findall('\d+', line) [NeMo W 2024-10-07 10:34:51 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/pyannote/core/notebook.py:134: MatplotlibDeprecationWarning: The get_cmap function was deprecated in Matplotlib 3.7 and will be removed in 3.11. Use ``matplotlib.colormaps[name]`` or ``matplotlib.colormaps.get_cmap()`` or ``pyplot.get_cmap()`` instead. cm = get_cmap("Set1") [NeMo W 2024-10-07 10:34:52 nemo_logging:349] /opt/NeMo/nemo/collections/asr/modules/rnnt.py:1550: DeprecationWarning: invalid escape sequence '\*' """ [NeMo W 2024-10-07 10:34:52 nemo_logging:349] /opt/NeMo/nemo/collections/common/data/lhotse/nemo_adapters.py:198: DeprecationWarning: invalid escape sequence '\d' """ [NeMo W 2024-10-07 10:34:52 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/nvidia/dali/_autograph/pyct/gast_util.py:79: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. if get_gast_version() < LooseVersion("0.5"): [NeMo W 2024-10-07 10:34:52 nemo_logging:349] /home/ema8/.local/lib/python3.10/site-packages/setuptools/_distutils/version.py:337: DeprecationWarning: distutils Version classes are deprecated. Use packaging.version instead. other = LooseVersion(other) [NeMo W 2024-10-07 10:34:53 nemo_logging:349] /opt/NeMo/nemo/collections/asr/parts/utils/vad_utils.py:1082: DeprecationWarning: invalid escape sequence '\s' data = pd.read_csv(path2ground_truth_label, sep="\s+", delimiter=None, header=None) [NeMo W 2024-10-07 10:34:53 nemo_logging:349] /opt/NeMo/nemo/collections/asr/parts/utils/asr_batching.py:39: DeprecationWarning: invalid escape sequence '\m' """ [NeMo W 2024-10-07 10:34:53 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py:119: UserWarning: Future Hydra versions will no longer change working directory at job runtime by default. See https://hydra.cc/docs/1.2/upgrades/1.1_to_1.2/changes_to_job_working_dir/ for more information. ret = run_job( [NeMo W 2024-10-07 10:34:53 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/lightning_fabric/connector.py:571: `precision=16` is supported for historical reasons but its usage is discouraged. Please set your precision to 16-mixed instead! [node0414.palmetto.clemson.edu:3567856] PMIX ERROR: ERROR in file gds_ds12_lock_pthread.c at line 168 Using 16bit Automatic Mixed Precision (AMP) [NeMo W 2024-10-07 10:34:54 nemo_logging:349] /usr/local/lib/python3.10/dist-packages/pytorch_lightning/plugins/precision/amp.py:53: `torch.cuda.amp.GradScaler(args...)` is deprecated. Please use `torch.amp.GradScaler('cuda', args...)` instead. GPU available: True (cuda), used: True TPU available: False, using: 0 TPU cores HPU available: False, using: 0 HPUs [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: context_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: expert_model_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: moe_extended_tp in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: finalize_model_grads_func in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: deterministic_mode in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: use_te_rng_tracker in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_wgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cross_entropy_loss_fusion in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_qkv in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_fc1 in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: overlap_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: batch_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: defer_embedding_wgrad_compute in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: wgrad_deferral_limit in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: pipeline_model_parallel_split_rank in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_num_layers in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: _cpu_offloading_context in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_activations in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_weights in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: barrier_with_L1_time in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo I 2024-10-07 10:35:28 megatron_init:314] Rank 0 has data parallel group : [0] [NeMo I 2024-10-07 10:35:28 megatron_init:320] Rank 0 has combined group of data parallel and context parallel : [0] [NeMo I 2024-10-07 10:35:28 megatron_init:325] All data parallel group ranks with context parallel combined: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:328] Ranks 0 has data parallel rank: 0 [NeMo I 2024-10-07 10:35:28 megatron_init:336] Rank 0 has context parallel group: [0] [NeMo I 2024-10-07 10:35:28 megatron_init:339] All context parallel group ranks: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:340] Ranks 0 has context parallel rank: 0 [NeMo I 2024-10-07 10:35:28 megatron_init:347] Rank 0 has model parallel group: [0] [NeMo I 2024-10-07 10:35:28 megatron_init:348] All model parallel group ranks: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:357] Rank 0 has tensor model parallel group: [0] [NeMo I 2024-10-07 10:35:28 megatron_init:361] All tensor model parallel group ranks: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:362] Rank 0 has tensor model parallel rank: 0 [NeMo I 2024-10-07 10:35:28 megatron_init:382] Rank 0 has pipeline model parallel group: [0] [NeMo I 2024-10-07 10:35:28 megatron_init:394] Rank 0 has embedding group: [0] [NeMo I 2024-10-07 10:35:28 megatron_init:400] All pipeline model parallel group ranks: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:401] Rank 0 has pipeline model parallel rank 0 [NeMo I 2024-10-07 10:35:28 megatron_init:402] All embedding group ranks: [[0]] [NeMo I 2024-10-07 10:35:28 megatron_init:403] Rank 0 has embedding rank: 0 setting number of microbatches to constant 288 [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: context_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: expert_model_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: moe_extended_tp in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: finalize_model_grads_func in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: deterministic_mode in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: use_te_rng_tracker in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_wgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cross_entropy_loss_fusion in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_qkv in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_fc1 in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: overlap_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: batch_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: defer_embedding_wgrad_compute in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: wgrad_deferral_limit in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: pipeline_model_parallel_split_rank in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_num_layers in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: _cpu_offloading_context in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_activations in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_weights in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: barrier_with_L1_time in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo I 2024-10-07 10:35:28 tokenizer_utils:196] Getting SentencePiece with model: /local_scratch/slurm.777326/tmpkg5ll76b/b1bc02bf987043f3884c39152f183238_nemotron_2_256k.model [NeMo I 2024-10-07 10:35:28 megatron_base_model:604] Padded vocab_size: 256000, original vocab_size: 256000, dummy tokens: 0. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: context_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: expert_model_parallel_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: moe_extended_tp in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: finalize_model_grads_func in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: deterministic_mode in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: use_te_rng_tracker in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_wgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_bulk_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_rs_dgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_ag in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_split_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_atomic_rs in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cross_entropy_loss_fusion in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_qkv in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: tp_comm_overlap_disable_fc1 in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: overlap_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: batch_p2p_comm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: defer_embedding_wgrad_compute in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: wgrad_deferral_limit in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: pipeline_model_parallel_split_rank in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_num_layers in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: _cpu_offloading_context in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_activations in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: cpu_offloading_weights in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:1189] The model: MegatronGPTModel() does not have field.name: barrier_with_L1_time in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: first_pipeline_num_layers in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: last_pipeline_num_layers in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: activation_func_fp8_input_store in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: num_moe_experts in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: window_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: qk_layernorm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: test_mode in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: calculate_per_token_loss in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: multi_latent_attention in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: memory_efficient_layer_norm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: fp8_wgrad in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: fp8_dot_product_attention in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: fp8_multi_head_attention in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_shared_expert_intermediate_size in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_shared_expert_overlap in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_router_load_balancing_type in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_router_topk in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_router_pre_softmax in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_grouped_gemm in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_aux_loss_coeff in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_z_loss_coeff in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_input_jitter_eps in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_token_dropping in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_token_dispatcher_type in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_per_layer_logging in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_expert_capacity_factor in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_pad_expert_input_to_capacity in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_token_drop_policy in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: moe_layer_recompute in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: clone_scatter_output_in_embedding in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: disable_parameter_transpose_cache in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: enable_cuda_graph in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: external_cuda_graph in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_base_model:577] The model: MegatronGPTModel() does not have field.name: config_logger_dir in its cfg. Add this key to cfg or config_mapping to make to make it configurable. [NeMo W 2024-10-07 10:35:28 megatron_gpt_model:372] megatron_amp_O2 is enabled but transformer-engine is not. Initializing distributed: GLOBAL_RANK: 0, MEMBER: 1/1 ---------------------------------------------------------------------------------------------------- distributed_backend=nccl All distributed processes registered. Starting with 1 processes ---------------------------------------------------------------------------------------------------- Error executing job with overrides: ['gpt_model_file=/scratch/ema8/Minitron-4B-Base/nemo/minitron-4b-base.nemo', 'lora_model_path=/scratch/ema8/PEFT/results/minitron-4b-base/peft_1000_minitron-4b-base/checkpoints/megatron_gpt_peft_lora_tuning.nemo', 'merged_model_path=/scratch/ema8/PEFT/results/minitron-4b-base/peft_1000_minitron-4b-base_merged.nemo', 'tensor_model_parallel_size=1', 'pipeline_model_parallel_size=1', 'trainer.num_nodes=1', 'trainer.devices=1', 'trainer.accelerator=gpu'] [rank0]: Traceback (most recent call last): [rank0]: File "/opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py", line 307, in <module> [rank0]: main() # noqa pylint: disable=no-value-for-parameter [rank0]: File "/opt/NeMo/nemo/core/config/hydra_runner.py", line 129, in wrapper [rank0]: _run_hydra( [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 394, in _run_hydra [rank0]: _run_app( [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 457, in _run_app [rank0]: run_and_report( [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 223, in run_and_report [rank0]: raise ex [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 220, in run_and_report [rank0]: return func() [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/utils.py", line 458, in <lambda> [rank0]: lambda: hydra.run( [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/_internal/hydra.py", line 132, in run [rank0]: _ = ret.return_value [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 260, in return_value [rank0]: raise self._return_value [rank0]: File "/usr/local/lib/python3.10/dist-packages/hydra/core/utils.py", line 186, in run_job [rank0]: ret.return_value = task_function(task_cfg) [rank0]: File "/opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py", line 241, in main [rank0]: model = MegatronGPTModel.restore_from( [rank0]: File "/opt/NeMo/nemo/collections/nlp/models/nlp_model.py", line 478, in restore_from [rank0]: return super().restore_from( [rank0]: File "/opt/NeMo/nemo/core/classes/modelPT.py", line 468, in restore_from [rank0]: instance = cls._save_restore_connector.restore_from( [rank0]: File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 1322, in restore_from [rank0]: trainer.strategy.setup_environment() [rank0]: File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/ddp.py", line 154, in setup_environment [rank0]: self.setup_distributed() [rank0]: File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 251, in setup_distributed [rank0]: init_model_parallel( [rank0]: File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 155, in init_model_parallel [rank0]: parallel_state.initialize_model_parallel( [rank0]: File "/opt/megatron-lm/megatron/core/parallel_state.py", line 532, in initialize_model_parallel [rank0]: raise RuntimeError(f"world_size ({world_size}) is not divisible by {total_model_size}") [rank0]: RuntimeError: world_size (1) is not divisible by 4 ``` **Steps/Code to reproduce bug** Below is the shell script I'm running to merge the lora weights. ```sh PATH_TO_MERGED_MODEL="/scratch/ema8/PEFT/results/minitron-4b-base/peft_1000_minitron-4b-base_merged.nemo" MODEL="/scratch/ema8/Minitron-4B-Base/nemo/minitron-4b-base.nemo" PATH_TO_TRAINED_MODEL="/scratch/ema8/PEFT/results/minitron-4b-base/peft_1000_minitron-4b-base/checkpoints/megatron_gpt_peft_lora_tuning.nemo" export HYDRA_FULL_ERROR=1 srun singularity exec --nv /home/ema8/f24-nvidia/nemo_eval.sif python /opt/NeMo/scripts/nlp_language_modeling/merge_lora_weights/merge.py \ gpt_model_file=${MODEL} \ lora_model_path=${PATH_TO_TRAINED_MODEL} \ merged_model_path=${PATH_TO_MERGED_MODEL} \ tensor_model_parallel_size=1 \ pipeline_model_parallel_size=1 \ trainer.num_nodes=1 \ trainer.devices=1 \ trainer.accelerator=gpu \ ``` Here is the script to fine-tune the model: ```sh #!/bin/bash # Script taken from: https://docs.nvidia.com/nemo-framework/user-guide/latest/playbooks/nemoframeworkpeft.html#nemo-framework-peft-playbook # This is the nemo model we are finetuning # Change this to match the model you want to finetune MODEL="/scratch/ema8/Minitron-4B-Base/nemo/minitron-4b-base.nemo" # These are the training datasets (in our case we only have one) TRAIN_DS="[/home/ema8/f24-nvidia/syn_data_PEFT_exp/high_school_cs_dataset/train-1000.jsonl]" # These are the validation datasets (in our case we only have one) VALID_DS="[/home/ema8/f24-nvidia/syn_data_PEFT_exp/high_school_cs_dataset/val.jsonl]" # These are the test datasets (in our case we only have one) TEST_DS="[/home/ema8/f24-nvidia/syn_data_PEFT_exp/high_school_cs_dataset/test.jsonl]" # These are the names of the test datasets TEST_NAMES="[high_school_cs_dataset]" # This is the PEFT scheme that we will be using. Set to "ptuning" for P-Tuning instead of LoRA PEFT_SCHEME="lora" # This is the concat sampling probability. This depends on the number of files being passed in the train set # and the sampling probability for each file. In our case, we have one training file. Note sum of concat sampling # probabilities should be 1.0. For example, with two entries in TRAIN_DS, CONCAT_SAMPLING_PROBS might be # "[0.3,0.7]". For three entries, CONCAT_SAMPLING_PROBS might be "[0.3,0.1,0.6]" # NOTE: Your entry must contain a value greater than 0.0 for each file CONCAT_SAMPLING_PROBS="[1.0]" # This is the tensor parallel size (splitting tensors among GPUs horizontally) # See above matrix for proper value for the given model size TP_SIZE=1 # This is the pipeline parallel size (splitting layers among GPUs vertically) # See above matrix for proper value for the given model size PP_SIZE=1 # The number of nodes to run this on # See above matrix for proper value for the given model size NODE_COUNT=1 # The number of total GPUs used GPU_COUNT=1 # Where to store the finetuned model and training artifacts OUTPUT_DIR="/scratch/ema8/PEFT/results/minitron-4b-base/peft_1000_200steps_minitron-4b-base" # Run the PEFT command by appropriately setting the values for the parameters such as the number of steps, # model checkpoint path, batch sizes etc. For a full reference of parameter # settings refer to the config at https://github.com/NVIDIA/NeMo/blob/main/examples/nlp/language_modeling/tuning/conf/megatron_gpt_finetuning_config.yaml python /opt/NeMo/examples/nlp/language_modeling/tuning/megatron_gpt_finetuning.py \ trainer.log_every_n_steps=1 \ trainer.precision=bf16 \ trainer.devices=${GPU_COUNT} \ trainer.num_nodes=1 \ trainer.val_check_interval=5 \ trainer.max_steps=200 \ model.restore_from_path=${MODEL} \ model.peft.peft_scheme=${PEFT_SCHEME} \ model.peft.lora_tuning.target_modules=[attention_qkv] \ +model.tp_comm_overlap_disable_qkv=True \ model.micro_batch_size=1 \ model.global_batch_size=128 \ model.tensor_model_parallel_size=${TP_SIZE} \ model.pipeline_model_parallel_size=${PP_SIZE} \ model.megatron_amp_O2=True \ model.activations_checkpoint_granularity=selective \ model.activations_checkpoint_num_layers=null \ model.activations_checkpoint_method=uniform \ model.optim.name=fused_adam \ model.optim.lr=1e-4 \ model.answer_only_loss=True \ model.data.train_ds.file_names=${TRAIN_DS} \ model.data.validation_ds.file_names=${VALID_DS} \ model.data.test_ds.file_names=${TEST_DS} \ model.data.train_ds.concat_sampling_probabilities=${CONCAT_SAMPLING_PROBS} \ model.data.train_ds.max_seq_length=4096 \ model.data.validation_ds.max_seq_length=4096 \ model.data.train_ds.micro_batch_size=1 \ model.data.train_ds.global_batch_size=128 \ model.data.validation_ds.micro_batch_size=1 \ model.data.validation_ds.global_batch_size=128 \ model.data.train_ds.num_workers=0 \ model.data.validation_ds.num_workers=0 \ model.data.test_ds.num_workers=0 \ model.data.validation_ds.metric.name=loss \ model.data.test_ds.metric.name=loss \ exp_manager.create_wandb_logger=False \ exp_manager.checkpoint_callback_params.mode=min \ exp_manager.explicit_log_dir=${OUTPUT_DIR} \ exp_manager.resume_if_exists=True \ exp_manager.resume_ignore_no_checkpoint=True \ exp_manager.create_checkpoint_callback=True \ exp_manager.checkpoint_callback_params.monitor=validation_loss \ ++exp_manager.checkpoint_callback_params.save_best_model=False \ exp_manager.checkpoint_callback_params.save_nemo_on_train_end=True \ model.save_nemo_on_validation_end=False ``` **Environment overview** - Environment location: apptainer - Method of NeMo install: Built my NeMo container based on the dev tag, and then added the lm-evaluation-harness. *nemo_eval.def* ```def Bootstrap: docker From: nvcr.io/nvidia/nemo:dev %post git clone --depth 1 https://github.com/EleutherAI/lm-evaluation-harness cd lm-evaluation-harness pip install -e . cd .. ``` The commands to build the container: `apptainer build nemo_eval.sif nemo_eval.def` **Additional context** - Running on the [Palmetto Cluster](https://docs.rcd.clemson.edu/palmetto/]) - Using a node with a single A100 GPU
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[ "[πŸ€–]: Hi @JRD971000 πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "CI passed : https://github.com/NVIDIA/NeMo/actions/runs/11236355310" ]
2024-10-07T13:30:08
2024-10-08T21:11:41
2024-10-08T21:11:39
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Akoumparouli/mcore microbatch calculator fix
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[ "[πŸ€–]: Hi @akoumpa πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-07T06:54:45
2024-10-07T17:06:31
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# What does this PR do ? Changes: 1. use context manager when running reconfigure microbatch calculator to avoid side-effects across tests. 2. move test/lightning/io to test/lightning/_io to avoid name-collision with python's io lib. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? `signal.SIGKILL` is used but it's not supported in windows, it was introduced in #9352 **Collection**: Core # Changelog - Replace `signal.SIGKILL` with `signal.SIGTERM` as it is not supported in windows, I know windows is supposed to be used along with WSL, but most of the inference functionality does work without WSL, so if this PR doesn't break the functionality, there is no need to break what is left of windows compatibility # Usage `from nemo.collections.asr.models.msdd_models import NeuralDiarizer` or `from nemo.utils import exp_manager` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [x] Did you write any new necessary tests? - [x] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [x] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? @ericharper @titu1994 @blisc @okuchaiev
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ci: Fix broken notifications
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ci: Cleanup required tests
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-05T10:33:25
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`IPython` should be included in the requirements
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[ "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", ".", "πŸ‘ βž• ", "Fixed in #11191 , release 2.0.0" ]
2024-10-05T09:40:09
2024-11-18T09:07:42
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**Describe the bug** `IPython` is not included in the requirements but it is used in an non-optional manner **Steps/Code to reproduce bug** `from nemo.collections.asr.parts.utils.vad_utils import load_tensor_from_file` On a new environment that comes without `IPython` **Expected behavior** `IPython` should be included in the requirements or imported inside the functions that need it (`plot` and `plot_sample_from_rttm`) This was already discussed in https://github.com/NVIDIA/NeMo/pull/9890#discussion_r1704593976
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Dpykhtar/llama3 8b 24.09 train
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Cherry pick `Checkpoint connector bugfixes (10647 & 10786)` into `r2.0.0`
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[ "Maybe some other change needs to get cherry picked? https://github.com/NVIDIA/NeMo/actions/runs/11191244026/job/31113955708?pr=10770", "@akoumpa to help merge this in", "CI passed: https://github.com/NVIDIA/NeMo/actions/runs/11446635583" ]
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[πŸ€–]: Hi @jstjohn πŸ‘‹,<br><br>we've cherry picked #10647 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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# What does this PR do ? Fixes param_groups in the checkpoint when we have a separate pipeline stage for lm_head. Without this we face error below when loading the distributed checkpoint before resuming training. `ValueError: Cannot merge two lists with different lengths (2 and 1, encountered at level ('optimizer_states', 0, 'param_groups'))` **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-10-05)
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
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πŸš€ PR to Bump `Dockerfile.ci`. πŸ“ Please remember the following to-do's before merge: - [ ] Verify the presubmit CI πŸ™ Please merge this PR only if the CI workflow completed successfully.
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[ "[πŸ€–]: Hi @pablo-garay πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "> let's undo the change of the required -> optional change, re-run the CI, and hopefully get this merged (if everything passed on first attempt)\r\n\r\nThis is independent of the changes . So in the interest of time, I will merge and revert in follow up PR when I see CI pass again.\r\n" ]
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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disable dynamo for DDP test
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remove 8x3b recipes
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[ "[πŸ€–]: Hi @yaoyu-33 πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11732901102) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-04T17:57:14
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? tb overlap configs for llama3.1 405b, gpt 20b and 175b **Collection**: [llm] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python trainer = run.Config( nl.Trainer, callbacks = [ run.Config( MegatronCommOverlapCallback, tp_comm_overlap=True, tp_comm_overlap_cfg=userbuffers_fp8_h100_h12288_tp4_mbs1_seqlen2048, ) ] ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Akoumparouli/nemo ux test fixes (#10641)
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* NeMoLogger arg rename dir -> log_dir * Set NVTE_APPLY_QK_LAYER_SCALING=0 * call mbs reconfigure to avoid interference from other tests; rewrite os.environ :( to avoid interference from other tests * Apply isort and black reformatting --------- # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick `Vllm 0.6.0 integration test (10697)` into `r2.0.0`
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[πŸ€–]: Hi @HuiyingLi πŸ‘‹,<br><br>we've cherry picked #10697 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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## Manifest format ``` { β€œid”: β€œsome_id_14323452”, "conversations": [ { "value": "Can you help summarize the following?", "from": "User", "type": "text", }, { "value": "123.wav", "from": "User", "type": "audio", β€œduration”: 5.73, }, { "value": "I'm glad to assist you with your request. The information can be summarized as the following: ….", "from": "Assistant", "type": "text", }, { "value": "123_answer.wav", "from": "Assistant", "type": "audio", β€œduration”: 7.11, }, { "value": "Can you further shorten it?", "from": "User", "type": "text", }, … } ``` ## Input CFG format ``` - type: group input_cfg: - manifest_filepath: /media/data/datasets/LibriSpeech/dev_clean_10.conv.json type: multimodal_conversation audio_locator_tag: "<unused0>" ``` - Note: we need seprate ICFG for single turn and multi turn data mixing because we need to measure length / calibrate batch size differently. ## Example usage - check here https://docs.google.com/document/d/15BppG_IyP7DWRh5Lw20bRVHdOXt1uvfhJZhIVmzh8AQ/edit#bookmark=id.5i9bljw374yo mainly needs to add the following flags ``` ++model.data.validation_ds.force_finite=True \ ++model.data.train_ds.prompt_format="gemma" \ ++model.data.validation_ds.prompt_format="gemma" \ ++model.data.validation_ds.drop_last=False \ ++model.data.train_ds.drop_last=False \ ++model.data.train_ds.input_cfg=manifests/train2.conv2.yaml \ ++model.data.validation_ds.input_cfg=manifests/train2.conv2.yaml ``` ## TODO - Tar/sharding the audios - BESTOW support https://github.com/zhehuaichen/NeMo/tree/speechllm-develop-prompt
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# What does this PR do ? * Infers the list of VMs to check via the rest api. Another benefit: We can filter for runners that are online! * Runs a check to decide if a reboot is necessary or not * Transposes the execution order: Prev. we worked in stages (first: shutdown of _all_ runners, second: re-install drivers) that all runners had to pass before the next stage could start. So all runners were delayed by the slowest runner, and so were just idle. Now, we do this on a one-by-one basis, so each runner will be maintained independently of other runners. * Run this healthy check every 4hrs, b/c why not? It finishes super quickly (less than 5minutes) and is good for body and soul 🚨 This PR is in draft because of `environment: ko3n1g/ci/improve-vm-maintenance`. This was necessary to safely test this workflow. After an approval (just write a comment), I will change this to `environment: main` and merge it. PS: This workflow requires sensitive secrets that we want to expose only to protected branches. So I added a branch protection rule for this branch (`ko3n1g/ci/improve-vm-maintenance`) such that I can safely test this feature.
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ci: Apply hotfix to `Nemo_CICD_Test`
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Remove long context recipe finetuning tests
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-10-04)
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
2024-10-04T00:21:57
2024-10-04T13:16:56
2024-10-04T13:16:54
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πŸš€ PR to Bump `Dockerfile.ci`. πŸ“ Please remember the following to-do's before merge: - [ ] Verify the presubmit CI πŸ™ Please merge this PR only if the CI workflow completed successfully.
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[ "isn't this changed needed for 8x3b as well?\r\n" ]
2024-10-04T00:21:26
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Add flux inference pipeline
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[ "This PR is dependent on implementation of media in Mcore. Will need to add the changes to NeMo first or stay as a draft until the Mcore change is merged.", "@zpx01 can you take a look at the flow matching?", "[πŸ€–]: Hi @Victor49152 πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11390808610) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "[πŸ€–]: Hi @Victor49152 πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11445018290) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-04T00:16:35
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# What does this PR do ? Add flux inference pipeline **Collection**: diffusion # Changelog /nemo/collections/diffusion # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [x] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR.
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remove rm -rf /home/TestData and use /tmp instead (#10729)
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[ "Equivalent: https://github.com/NVIDIA/NeMo/pull/10729 in main" ]
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[Draft] Fix optimizer state_dict compatibility between Apex's fused_adam and distributed_fused_adam
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2024-10-03T21:38:32
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# Description The use case I am supporting is the ability to take model checkpoints trained with fused_adam optimizer and then resume training with Apex's distributed_fused_adam while maintaining optimizer state. There is mismatch in the optimizer state_dict where MoE-specific keys, which are ShardedTensorFactory objects and not ShardedTensor's, are not caught in the rename_fp32_params function, causing the moe keys to fall under the missing and unexpected keys when loading the optimizer state_dict. Additionally, when resuming training from a model using fused_adam, state_dict['param_groups'] does not contain any keys aside from params. The param_groups need to be pulled from state_dict['optimizer']. I override load_state_dict in NeMo's MegatronDistributedFusedAdam and manipulate the optimizer's state_dict if we see state_dict['param_groups'] only contains params key. This behavior can be reproduced by training any MoE model with fused_adam and then attempt to resume training with distributed_fused_adam. Additionally, # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[ "https://wandb.ai/joc/llava_next_energon/runs/70551i0j?nw=nwuserykarnati - fine tuning convergence run on LLaVA dataset" ]
2024-10-03T20:32:53
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# What does this PR do ? Support training of LLaVa NeXt model. **Collection**: [Note which collection this PR will affect] Multimodal # Changelog - Added necessary task encoders for energon data module to support training LLaVA NeXT with NeVA Model # Usage The only change is to use the energon based data module as shown below with existing NeVA model ```python from nemo.collections.multimodal.data.energon.config import MultiModalSampleConfig from nemo.collections.vlm import LlavaNextTaskEncoder from nemo.collections.multimodal.data.energon import SimpleMultiModalDataModule from transformers import AutoProcessor processor = AutoProcessor.from_pretrained("llava-hf/llava-v1.6-mistral-7b-hf") data_path = args.data_path image_processor = processor.image_processor tokenizer = processor.tokenizer multimodal_sample_config = MultiModalSampleConfig() task_encoder = LlavaNextTaskEncoder( tokenizer=tokenizer, image_processor=image_processor, multimodal_sample_config=multimodal_sample_config ) data = SimpleMultiModalDataModule( path=data_path, tokenizer=tokenizer, image_processor=image_processor, num_workers=8, micro_batch_size=mbs, global_batch_size=gbs, multimodal_sample_config=multimodal_sample_config, task_encoder=task_encoder, ) ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[MCoreDistOptim] Add assertions for McoreDistOptim and fix fp8 arg specs
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# What does this PR do ? 1. Copies the argument guard for param AG overlap with optim.step from Megatron LM. 2. Add FP8 support to MoE sequential group gemm **Collection**: [Note which collection this PR will affect] # Changelog - AUse param AG overlap with optim.step only when using (1) param AG overlap and (2) virtual pipelining - Param AG overlap can be used only when grad RS overlap is used - Fp8 interface is passed accordingly to GPT specs # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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2024-10-03T19:50:52
2024-11-05T01:57:42
2024-11-05T01:57:41
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick `Remove finetuning recipes for Long Context (10703)` into `r2.0.0`
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2024-10-03T19:15:58
2024-10-04T15:23:35
2024-10-04T15:23:34
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[πŸ€–]: Hi @BoxiangW πŸ‘‹,<br><br>we've cherry picked #10703 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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Loading 70B model from .nemo checkpoint takes very long time
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2024-10-03T17:55:24
2024-11-11T01:58:43
2024-11-11T01:58:43
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I am launching a continuous pretraining job from a 70B model checkpoint. The checkpoint is saved as .nemo file. I use ``` megatronGPTModel.restore_from(restore_path="/path/to/my/70B/.nemo", override_config_path, trainer) ``` to restore the checkpoint. It hangs while unpacking the .nemo file. The container I am using is `nvcr.io/nvidia/nemo:24.05.llama3.1`
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Fix load nemo issue in Multimodal TRTLLM
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[ "@meatybobby Do you think this PR should also be merged to 24.09 release? If yes, we need to add the r2.0.0 label.", "[πŸ€–]: Hi @meatybobby πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-03T17:52:21
2024-10-05T19:33:44
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# What does this PR do ? Fix load nemo issue in Multimodal TRTLLM **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick `Fix typo in ASR RNNT BPE model (10742)` into `r2.0.0`
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2024-10-03T17:30:19
2024-10-04T12:06:50
2024-10-04T12:06:48
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[πŸ€–]: Hi @pzelasko πŸ‘‹,<br><br>we've cherry picked #10742 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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Fix typo in ASR RNNT BPE model
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[ "[πŸ€–]: Hi @JimmyZhang12 πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11165214983) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
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[ "[πŸ€–]: Hi @karpnv πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11166342670) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
2024-10-03T14:06:40
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# Fix tests for TestEncDecMultiTaskModel **PR Type**: - [ ] New Feature - [ V] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? @pzelasko # Additional Information * Related to # (issue)
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11162127214) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11164078510) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11166279299) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-03T12:38:16
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How to implement weight decay towards the pre-trained model?
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2024-10-03T11:15:41
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Hello, let me one question. If using NeMo for supervised fune-tuning, how do I implement penalizing the distance between starting and current weights? This was shown to be effective in https://arxiv.org/abs/1706.03610
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
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[ "[πŸ€–]: Hi @marcromeyn πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
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[ "[πŸ€–]: Hi @marcromeyn πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11275169690) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
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Cherry pick `In-framework inference fixes (10698)` into `r2.0.0`
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[πŸ€–]: Hi @janekl πŸ‘‹,<br><br>we've cherry picked #10698 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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Track io for hf AutoTokenizer
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Fix error raising logic in model import
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[ "[πŸ€–]: Hi @cuichenx πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
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# What does this PR do ? Fix error raising logic in model import **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-10-03)
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πŸš€ PR to Bump `Dockerfile.ci`. πŸ“ Please remember the following to-do's before merge: - [ ] Verify the presubmit CI πŸ™ Please merge this PR only if the CI workflow completed successfully.
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[ "[πŸ€–]: Hi @maanug-nv πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
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* Call reload_model_params only if there's no optimizer state * add nemo-ux resume test * Apply isort and black reformatting --------- # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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* Adding nemo-run to requirements * Updating nemo-run entrypoint inside setup.py * Remove nemo-run from requirements until we have a pypi package * Update entrypoint naming * Setting up cli recipe for llama3-8b * Move AutoTokenizer import inline for starcoder * Move AutoTokenizer import inline for starcoder2 * Use target for factories inside llama3_8b * Update other recipes * Fix some bugs in the recipes * Adding some examples * Adding repl example * Starting to add a notebook example as well * Fix wrong imports * [pre-commit.ci] auto fixes from pre-commit.com hooks for more information, see https://pre-commit.ci * Apply isort and black reformatting * Fix wrong imports * Apply isort and black reformatting * Fix typo + add script with default executor * Apply isort and black reformatting * Add nemo-run to Dockerfile.ci * Adding copyright to recipes * Apply isort and black reformatting * Adding guides to recipes dir * Adding hatchling to Dockerfile.ci * Move install to different line * fix install * Move llama3_pretraining to scripts for now * Remove img folder & use images from release instead * Apply isort and black reformatting * Updating default of num_nodes in all recipes * Apply isort and black reformatting * Adding tests for all recipes * ddAing docstrings * Apply isort and black reformatting * Fix failing tests inside test_mixtral_8x7b_64k * Rename fabric to _fabric to avoid name collision with package fabric * add rename comment --------- # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[McoreDistOptim] Add a few assertions for McoreDistOptim
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2024-10-02T21:23:46
2024-10-08T03:59:47
2024-10-03T20:53:58
CONTRIBUTOR
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# What does this PR do ? Copies the argument guard for param AG overlap with optim.step from Megatron LM. # Changelog - Use param AG overlap with optim.step only when using (1) param AG overlap and (2) virtual pipelining - Param AG overlap can be used only when grad RS overlap is used # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Add Llama 3.1 Pruning and Distillation Tutorial
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[ "@gvenkatakris Thanks for this great feature! I note that the current impl only support TP. Will PP be supported in the roadmap? " ]
2024-10-02T21:15:43
2024-11-23T12:50:48
2024-10-04T05:54:29
CONTRIBUTOR
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Add Llama 3.1 pruning and distillation tutorial to NeMo tutorials
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use model device for embedding extraction
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2024-10-02T18:23:06
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This fixes major slowdowns when running diarization parallel on multiple gpus Discussion: https://github.com/NVIDIA/NeMo/issues/7101 # What does this PR do ? Stores embedding extraction on device. # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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chore: Release/nim 24.08 no deploy trt llm only
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Fix/gpu for embedding extraction
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2024-10-02T18:16:36
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# What does this PR do ? Stores embedding extraction on device. This fixes major slowdowns when running diarization parallel on multiple gpus Discussion: https://github.com/NVIDIA/NeMo/issues/7101 **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Adding NeMo 2.0 T5 finetuning (on Squad dataset)
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[ "[πŸ€–]: Hi @huvunvidia πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "[πŸ€–]: Hi @huvunvidia πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "LGTM" ]
2024-10-02T17:50:32
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Global shape mismatch for loaded ((1024, 768)) and expected ((512, 768)) tensor for key model.embedding.position_embeddings.weight
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[ "I find it:\nI have to delete this folder:\nnemo_experiments/megatron_gpt/checkpoints", "This issue is stale because it has been open for 30 days with no activity. Remove stale label or comment or this will be closed in 7 days.", "This issue was closed because it has been inactive for 7 days since being marked as stale.", "what is the folder nemo_experiments/megatron_gpt/checkpoints? And why delete it can work?" ]
2024-10-02T17:40:32
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**Describe the bug** I followed the instructions in: https://docs.nvidia.com/nemo-framework/user-guide/latest/nemotoolkit/nlp/nemo_megatron/gpt/gpt_training.html the i replace 1024 with 512 ``` python src/examples/nlp/language_modeling/megatron_gpt_pretraining.py \ --config-path=conf \ --config-name=megatron_gpt_config \ trainer.devices=1 \ trainer.num_nodes=1 \ trainer.max_epochs=null \ trainer.max_steps=30000 \ trainer.val_check_interval=300 \ trainer.log_every_n_steps=50 \ trainer.limit_val_batches=50 \ trainer.limit_test_batches=50 \ trainer.accumulate_grad_batches=1 \ trainer.precision=16 \ model.micro_batch_size=6 \ model.global_batch_size=192 \ model.tensor_model_parallel_size=1 \ model.pipeline_model_parallel_size=1 \ model.max_position_embeddings=512 \ model.encoder_seq_length=512 \ model.hidden_size=768 \ model.ffn_hidden_size=3072 \ model.num_layers=12 \ model.num_attention_heads=12 \ model.init_method_std=0.021 \ model.hidden_dropout=0.1 \ model.layernorm_epsilon=1e-5 \ model.tokenizer.vocab_file=data/tokenizer/gpt2-vocab.json \ model.tokenizer.merge_file=data/tokenizer/gpt2-merges.txt \ model.data.data_prefix=[1.0,data/tokenized_data/hfbpe_gpt_training_data_text_document] \ model.data.num_workers=2 \ model.data.seq_length=512 \ model.data.splits_string=\'980,10,10\' \ model.megatron_amp_O2=False \ model.optim.name=fused_adam \ model.optim.lr=6e-4 \ model.optim.betas=[0.9,0.95] \ model.optim.weight_decay=0.1 \ model.optim.sched.name=CosineAnnealing \ model.optim.sched.warmup_steps=750 \ model.optim.sched.constant_steps=80000 \ model.optim.sched.min_lr=6e-5 \ exp_manager.resume_if_exists=True \ exp_manager.resume_ignore_no_checkpoint=True \ exp_manager.create_checkpoint_callback=True \ exp_manager.checkpoint_callback_params.monitor=val_loss \ exp_manager.checkpoint_callback_params.save_top_k=3 \ exp_manager.checkpoint_callback_params.mode=min \ exp_manager.checkpoint_callback_params.always_save_nemo=False ``` It get this error: ``` Error executing job with overrides: ['trainer.devices=1', 'trainer.num_nodes=1', 'trainer.max_epochs=null', 'trainer.max_steps=30000', 'trainer.val_check_interval=300', 'trainer.log_every_n_steps=50', 'trainer.limit_val_batches=50', 'trainer.limit_test_batches=50', 'trainer.accumulate_grad_batches=1', 'trainer.precision=16', 'model.micro_batch_size=6', 'model.global_batch_size=192', 'model.tensor_model_parallel_size=1', 'model.pipeline_model_parallel_size=1', 'model.max_position_embeddings=512', 'model.encoder_seq_length=512', 'model.fp8_amax_history_len=512', 'model.hidden_size=768', 'model.ffn_hidden_size=3072', 'model.num_layers=12', 'model.num_attention_heads=12', 'model.init_method_std=0.021', 'model.hidden_dropout=0.1', 'model.layernorm_epsilon=1e-5', 'model.tokenizer.vocab_file=data/tokenizer/gpt2-vocab.json', 'model.tokenizer.merge_file=data/tokenizer/gpt2-merges.txt', 'model.data.data_prefix=[1.0,data/tokenized_data/hfbpe_gpt_training_data_text_document]', 'model.data.num_workers=2', 'model.data.seq_length=512', "model.data.splits_string='980,10,10'", 'model.megatron_amp_O2=False', 'model.optim.name=fused_adam', 'model.optim.lr=6e-4', 'model.optim.betas=[0.9,0.95]', 'model.optim.weight_decay=0.1', 'model.optim.sched.name=CosineAnnealing', 'model.optim.sched.warmup_steps=750', 'model.optim.sched.constant_steps=80000', 'model.optim.sched.min_lr=6e-5', 'exp_manager.resume_if_exists=True', 'exp_manager.resume_ignore_no_checkpoint=True', 'exp_manager.create_checkpoint_callback=True', 'exp_manager.checkpoint_callback_params.monitor=val_loss', 'exp_manager.checkpoint_callback_params.save_top_k=3', 'exp_manager.checkpoint_callback_params.mode=min', 'exp_manager.checkpoint_callback_params.always_save_nemo=False'] Traceback (most recent call last): File "/app/src/examples/nlp/language_modeling/megatron_gpt_pretraining.py", line 42, in main trainer.fit(model) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 543, in fit call._call_and_handle_interrupt( File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/call.py", line 43, in _call_and_handle_interrupt return trainer.strategy.launcher.launch(trainer_fn, *args, trainer=trainer, **kwargs) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/strategies/launchers/subprocess_script.py", line 105, in launch return function(*args, **kwargs) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 579, in _fit_impl self._run(model, ckpt_path=ckpt_path) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/trainer.py", line 973, in _run self._checkpoint_connector._restore_modules_and_callbacks(ckpt_path) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/connectors/checkpoint_connector.py", line 397, in _restore_modules_and_callbacks self.resume_start(checkpoint_path) File "/usr/local/lib/python3.10/dist-packages/pytorch_lightning/trainer/connectors/checkpoint_connector.py", line 79, in resume_start loaded_checkpoint = self.trainer.strategy.load_checkpoint(checkpoint_path) File "/opt/NeMo/nemo/collections/nlp/parts/nlp_overrides.py", line 441, in load_checkpoint return self.checkpoint_io.load_checkpoint(checkpoint_path, sharded_state_dict=checkpoint) File "/opt/NeMo/nemo/utils/callbacks/dist_ckpt_io.py", line 78, in load_checkpoint return dist_checkpointing.load( File "/opt/megatron-lm/megatron/core/dist_checkpointing/serialization.py", line 135, in load loaded_state_dict = sharded_strategy.load(sharded_state_dict, checkpoint_dir) File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 43, in load dict_list_map_inplace(load_fn, sharded_state_dict) File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 180, in dict_list_map_inplace x[k] = dict_list_map_inplace(f, v) File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 180, in dict_list_map_inplace x[k] = dict_list_map_inplace(f, v) File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 184, in dict_list_map_inplace return f(x) File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 80, in _load_from_array x = _load_regular_chunk(sharded_tensor, checkpoint_dir) File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/tensorstore.py", line 107, in _load_regular_chunk raise CheckpointingException(_msg) megatron.core.dist_checkpointing.core.CheckpointingException: Global shape mismatch for loaded ((1024, 768)) and expected ((512, 768)) tensor for key model.embedding.position_embeddings.weight ``` **Environment details** A100 nemo docker: nvcr.io/nvidia/nemo:24.05.01
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2,562,258,986
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10,714
Upt nemo2 ckpt inn TRT-LLM export
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2024-10-02T17:29:14
2024-10-08T16:29:56
2024-10-08T16:29:55
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# What does this PR do ? Adds support for nemo 2.0 ckpt in export
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Add a build option to load_context
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[ "[πŸ€–]: Hi @marcromeyn πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11494978487) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-02T15:36:57
2024-10-24T11:07:27
2024-10-24T11:07:27
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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nemotron perf recipes
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2024-10-02T14:28:29
2024-10-03T19:52:26
2024-10-03T19:52:19
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missing space
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[ "@pzelasko @nithinraok\r\n", "Merged with #9597" ]
2024-10-02T13:49:15
2024-10-03T20:12:51
2024-10-03T20:12:50
CONTRIBUTOR
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just missing a space in the error message.
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Support `tie_word_embeddings=True` in `convert_mistral_7b_nemo_to_hf.py`
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# What does this PR do ? `convert_mistral_7b_nemo_to_hf.py` does not support tied embeddings. In other words, - `share_embeddings_and_output_weights: true` in `model_config.yaml` in a .nemo checkpoint should be converted to `tie_word_embeddings": true` in `config.json` in an HF checkpoint. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[McoreDistOptim] fix the naming to match apex.dist
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# What does this PR do ? Change the `overlap_param_gather` to `overlap_param_sync` to match with apex.dist. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-10-02)
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2024-10-02T00:22:10
2024-10-03T13:33:42
2024-10-03T13:33:41
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πŸš€ PR to Bump `Dockerfile.ci`. πŸ“ Please remember the following to-do's before merge: - [ ] Verify the presubmit CI πŸ™ Please merge this PR only if the CI workflow completed successfully.
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10,705
Cherry pick `Update NeVA Mixtral Tutorial (10669)` into `r2.0.0`
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2024-10-01T23:06:10
2024-10-04T11:09:39
2024-10-04T11:09:37
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[πŸ€–]: Hi @paul-gibbons πŸ‘‹,<br><br>we've cherry picked #10669 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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Mixtral set seq_length=4k
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[ "this needs the 'r2.0.0' tag right?\r\n", "@maanug-nv I have it on https://github.com/NVIDIA/NeMo/pull/10526", "[πŸ€–]: Hi @akoumpa πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g", "[πŸ€–]: Hi @akoumpa πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/$REPOSITORY/actions/runs/$RUN_ID) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-01T22:38:35
2024-10-08T17:44:00
2024-10-08T17:43:59
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Remove finetuning recipes for Long Context
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[ "hey @BoxiangW, this PR broke the test [L0_Unit_Tests_GPU_LLM](https://github.com/NVIDIA/NeMo/actions/runs/11149877529/job/30989881442). Can you help us fixing it?" ]
2024-10-01T21:29:48
2024-10-04T07:10:23
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# What does this PR do ? Removed finetuning recipes due to no use cases **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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[MoE] Add FP8 arg for MoE Sequential Gemm
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[ "@pablo-garay I saw the failure test OPTIONAL_L0_Unit_Tests_CPU_ASR / main but it seem not related to my change. Not sure if these are expected?", "Close this and move to https://github.com/NVIDIA/NeMo/pull/10748\r\nto avoid CI issues" ]
2024-10-01T20:47:58
2024-10-08T03:59:46
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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a few fixes for the new prompt template based dataloader and lora+distributed fused adam
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1. tokenize_with_prompt (from Piotr) 2. keep the previous behavior of truncating input_ids when the length is larger than max_seq_length 3. add gemma support 4. make the prompt template compatible with our data which has `context`, `question`, or `default_context` in the manifest 5. support distributed fused adam on lora 6. fix lora ckpt loading and storing issue in naming verified speechllm-develop can train with `/lustre/fs8/portfolios/llmservice/users/zhehuaic/works/mod_speech_llm/scripts/oci_canary_gpt_gemma_prompt_lorac_lhmerge6_p2h_d5.sh`
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add diffusion energon dataloader
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[ "[πŸ€–]: Hi @ethanhe42 πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11166294773) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g", "lgtm" ]
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Allow logging memory profile on interval
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# What does this PR do ? Fixing two things in **r2.0.0** release testing, to be cherry-picked to the release branch: - repro below for an oldish Nemo checkpoint from FP8 SFT: ``` python /opt/NeMo/tests/export/nemo_export.py \ --checkpoint_dir /opt/checkpoints/LLAMA2-7B-base/LLAMA2-7B-fp8-sft.nemo \ --model_type llama \ --min_tps 1 \ --max_output_len 24 \ --test_deployment False \ --in_framework True \ --model_name llama ``` Issues are: 1. Loading old checkpoints - solved with https://github.com/NVIDIA/NeMo/commit/86408ccbabc4920a5c8e2a5d76cfc5d3afaf7bf4 ``` [rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 191, in dict_list_map_inplace [rank0]: x[k] = dict_list_map_inplace(f, v) [rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 191, in dict_list_map_inplace [rank0]: x[k] = dict_list_map_inplace(f, v) [rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/dict_utils.py", line 195, in dict_list_map_inplace [rank0]: return f(x) [rank0]: File "/opt/megatron-lm/megatron/core/dist_checkpointing/strategies/common.py", line 118, in load_sharded_object [rank0]: raise CheckpointingException(err_msg) from e [rank0]: megatron.core.dist_checkpointing.core.CheckpointingException: Object shard /tmp/tmpuuv6zoo9/model_weights/model.decoder.layers.self_attention.core_attention._extra_state/shard_0_32.pt not found ``` 2. In-framework inference issues for FP8 - solved with https://github.com/NVIDIA/NeMo/commit/56d6e6f4c21bd1ce6328d756c34256791718f5dd (need to disable) ``` [rank0]: mixed_qkv, _ = self.linear_qkv(hidden_states) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1552, in _wrapped_call_impl [rank0]: return self._call_impl(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/nn/modules/module.py", line 1561, in _call_impl [rank0]: return forward_call(*args, **kwargs) [rank0]: File "/opt/megatron-lm/megatron/core/extensions/transformer_engine.py", line 336, in forward [rank0]: out = super().forward(x, is_first_microbatch=_is_first_microbatch) [rank0]: File "/usr/local/lib/python3.10/dist-packages/torch/_dynamo/eval_frame.py", line 574, in _fn [rank0]: return fn(*args, **kwargs) [rank0]: File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/module/layernorm_linear.py", line 1216, in forward [rank0]: out = fwd_fn(*args) [rank0]: File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/module/layernorm_linear.py", line 101, in forward [rank0]: assert_dim_for_fp8_exec(inputmat) [rank0]: File "/usr/local/lib/python3.10/dist-packages/transformer_engine/pytorch/utils.py", line 237, in assert_dim_for_fp8_exec [rank0]: and tensor.size(1) % 16 == 0 [rank0]: AssertionError: FP8 execution requires 2D input matrices with height divisible by 8 and width divisible by 16, but got tensor with dims=[12, 4096] ``` **Collection**: NLP # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [x] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Add integrations to update vllm to 0.6.0 **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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# What does this PR do ? Cheery pick #10559 and #10555 to r2.0.0
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[ "[πŸ€–]: Hi @ko3n1g πŸ‘‹,\n\nI just wanted to let you know that, you know, a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11120821848) for this PR just finished successfully ✨\n\nSo it might be time to merge this PR or like to get some approvals πŸš€\n\nBut I'm just a πŸ€– so I'll leave it you what to do next.\n\nHave a great day! \n\n//cc @ko3n1g" ]
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# What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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MCore Partial DistOpt Feature
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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale.", "[πŸ€–]: Hi @sanandaraj5597 πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/12659627818) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-01T05:51:42
2025-01-15T23:25:44
2025-01-15T02:22:22
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# What does this PR do ? This PR adds an interface argument to support the MCore Partial DistOpt feature. The argument `num_distributed_optimizer_instances` determines the the level of sharding that can be done on the MCore DistOpt across the DP domain. The setting need to be set as `training.model.optim. num_distributed_optimizer_instances =2` in the configuration YAML file.
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mixtral bitexact ci test
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[ "[πŸ€–]: Hi @akoumpa πŸ‘‹,\n\nWe wanted to let you know that a [CICD pipeline](https://github.com/NVIDIA/NeMo/actions/runs/11280794259) for this PR just finished successfully\n\nSo it might be time to merge this PR or get some approvals\n\nI'm just a bot so I'll leave it you what to do next.\n\n//cc @pablo-garay @ko3n1g" ]
2024-10-01T05:23:12
2024-10-11T06:27:31
2024-10-11T06:27:30
MEMBER
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# What does this PR do ? Run Mini-Mixtral (3M) pretraining with Mcore & NeMo and compare bitexactness of checkpoints. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Bump `Dockerfile.ci` (2024-10-01)
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πŸš€ PR to Bump `Dockerfile.ci`. πŸ“ Please remember the following to-do's before merge: - [ ] Verify the presubmit CI πŸ™ Please merge this PR only if the CI workflow completed successfully.
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Add assertion for always save nemo add model parallel size
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[ "Seems like we don't have the ability to save '.nemo' in 2.0 right?", "Yes, this was an NVbug about NeMo 1.0. We are not going to save .nemo in 2.0 right now", "One last request, can we add a test in `test_exp_manager.py` to ensure this configuration will fail?", "@maanug-nv Can you help approve this again? It just passed all tests." ]
2024-09-30T23:51:31
2024-10-22T07:49:59
2024-10-22T07:49:59
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# What does this PR do ? `always_save_nemo` option is not supported yet to work with model parallel. Added assertions to avoid future confusions. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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DAPT with NeMo FW
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[ "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "Finalizing reviews and comments this week\r\n", "This PR is stale because it has been open for 14 days with no activity. Remove stale label or comment or update or this will be closed in 7 days.", "This PR was closed because it has been inactive for 7 days since being marked as stale.", "Reopening this one" ]
2024-09-30T23:40:37
2024-12-06T18:30:19
2024-11-29T02:03:52
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# What does this PR do ? Tutorial for DAPT with NeMo Framework **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [Y ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [N ] Did you write any new necessary tests? - [N ] Did you add or update any necessary documentation? - [N ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ Y] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Context Parallel SFT Support for dataset in THD format
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[ "Please fix [DCO](https://github.com/NVIDIA/NeMo/pull/10688/checks?check_run_id=31972432771) also.", "Could you let me know when it will be completed? I’ve been really looking forward to this feature. It works in pretrain, but it’s really strange that it doesn’t work in SFT.", "<!-- pylint-output-strict-mode-false -->\n\nbeep boop πŸ€–: πŸ™ The following files have warnings. In case you are familiar with these, please try helping us to improve the code base.\n\n---\n\nYour code was analyzed with PyLint. The following annotations have been identified:\n\n```\n************* Module nemo.collections.nlp.data.language_modeling.megatron.gpt_sft_dataset\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:70:0: C0301: Line too long (353/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:72:0: C0301: Line too long (173/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:73:0: C0301: Line too long (156/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:79:0: C0301: Line too long (157/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:82:0: C0301: Line too long (147/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:83:0: C0301: Line too long (178/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:84:0: C0301: Line too long (138/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:85:0: C0301: Line too long (121/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:87:0: C0301: Line too long (144/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:90:0: C0301: Line too long (247/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:165:0: C0301: Line too long (125/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:174:0: C0301: Line too long (121/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:244:0: C0301: Line too long (137/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:247:0: C0301: Line too long (133/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:272:0: C0301: Line too long (146/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:277:0: C0301: Line too long (153/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:278:0: C0301: Line too long (155/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:300:0: C0301: Line too long (127/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:389:0: C0301: Line too long (120/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:655:0: C0301: Line too long (120/119) (line-too-long)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:36:0: C0115: Missing class docstring (missing-class-docstring)\nnemo/collections/nlp/data/language_modeling/megatron/gpt_sft_dataset.py:526:0: C0115: Missing class docstring (missing-class-docstring)\n************* Module nemo.collections.nlp.models.language_modeling.megatron_gpt_model\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:327:0: C0301: Line too long (149/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:367:0: C0301: Line too long (136/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:413:0: C0301: Line too long (126/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:460:0: C0301: Line too long (122/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:791:0: C0301: Line too long (131/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1106:0: C0301: Line too long (146/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1127:0: C0301: Line too long (168/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1337:0: C0301: Line too long (122/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1378:0: C0301: Line too long (122/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1435:0: C0301: Line too long (140/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1616:0: C0301: Line too long (132/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1617:0: C0301: Line too long (136/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1619:0: C0301: Line too long (159/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1790:0: C0301: Line too long (128/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1810:0: C0301: Line too long (140/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1818:0: C0301: Line too long (155/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1839:0: C0301: Line too long (141/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1909:0: C0301: Line too long (125/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1936:0: C0301: Line too long (134/119) (line-too-long)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:140:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:153:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:179:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:198:0: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:245:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:283:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:287:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:299:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:307:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:469:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:472:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:701:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:705:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:787:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1104:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1177:12: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1226:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1255:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1448:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1583:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1591:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1600:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:1884:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:2037:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:2044:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:2050:4: C0116: Missing function or method docstring (missing-function-docstring)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:20:0: W0611: Unused fields imported from dataclasses (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:28:0: W0611: Unused _DataFetcherWrapper imported from lightning.pytorch.loops.fetchers (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:30:0: W0611: Unused OmegaConf imported from omegaconf (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:72:0: W0611: Unused activation_to_func imported from nemo.collections.nlp.parts.utils_funcs (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:81:4: W0611: Unused megatron.core imported as core (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:82:4: W0611: Unused tensor_parallel imported from megatron.core (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:101:4: W0611: Unused init_method_normal imported from megatron.core.utils (unused-import)\nnemo/collections/nlp/models/language_modeling/megatron_gpt_model.py:101:4: W0611: Unused scaled_init_method_normal imported from megatron.core.utils (unused-import)\n************* Module nemo.utils.sequence_packing_utils\nnemo/utils/sequence_packing_utils.py:53:0: C0301: Line too long (125/119) (line-too-long)\nnemo/utils/sequence_packing_utils.py:112:0: C0301: Line too long (127/119) (line-too-long)\nnemo/utils/sequence_packing_utils.py:121:0: C0301: Line too long (122/119) (line-too-long)\nnemo/utils/sequence_packing_utils.py:122:0: C0301: Line too long (139/119) (line-too-long)\n************* Module scripts.nlp_language_modeling.prepare_packed_ft_dataset\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:206:0: C0301: Line too long (157/119) (line-too-long)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:169:0: C0115: Missing class docstring (missing-class-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:175:4: C0116: Missing function or method docstring (missing-function-docstring)\nscripts/nlp_language_modeling/prepare_packed_ft_dataset.py:188:0: C0116: Missing function or method docstring (missing-function-docstring)\n\n-----------------------------------\nYour code has been rated at 9.46/10\n```\n\n---\n\nThank you for improving NeMo's documentation!" ]
2024-09-30T23:39:01
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# What does this PR do ? This PR adds CP support for THD format and is compatible with cu_seqlen_padded in the latest CUDNN fused attention. Steps to run SFT + CP + THD format: 1. Prepare packed dataset in THD format: run `scripts/nlp_language_modeling/prepare_packed_ft_dataset.py` to pack the dataset into THD format in desired sequence length. For example: ``` python <NeMo_top_dir>/scripts/nlp_language_modeling/prepare_packed_ft_dataset.py \ model.data.train_ds.file_names=[<dataset_top_dir>/squad/1_squad_train.jsonl] \ model.data.train_ds.max_seq_length=4096 \ +model.context_parallel_size=2 \ +tokenizer_path=<tokenizer_path> \ +output_dir=<output_dir> +pack_sizes=[4096] \ ``` 2. Run SFT on the packed dataset in THD format with the same CP size specified in the last step **PR Type**: - [x] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR.
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Revert "Cherry pick `Updating modelopt spec for Mixtral (10660)` into `r2.0.0`"
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Reverts NVIDIA/NeMo#10664
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Require setuptools>=70 and update deprecated api (#10659)
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* Require setuptools>=70 and update deprecated api * Apply isort and black reformatting --------- # What does this PR do ? Add a one line overview of what this PR aims to accomplish. **Collection**: [Note which collection this PR will affect] # Changelog - Add specific line by line info of high level changes in this PR. # Usage * You can potentially add a usage example below ```python # Add a code snippet demonstrating how to use this ``` # GitHub Actions CI The Jenkins CI system has been replaced by GitHub Actions self-hosted runners. The GitHub Actions CI will run automatically when the "Run CICD" label is added to the PR. To re-run CI remove and add the label again. To run CI on an untrusted fork, a NeMo user with write access must first click "Approve and run". # Before your PR is "Ready for review" **Pre checks**: - [ ] Make sure you read and followed [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) - [ ] Did you write any new necessary tests? - [ ] Did you add or update any necessary documentation? - [ ] Does the PR affect components that are optional to install? (Ex: Numba, Pynini, Apex etc) - [ ] Reviewer: Does the PR have correct import guards for all optional libraries? **PR Type**: - [ ] New Feature - [ ] Bugfix - [ ] Documentation If you haven't finished some of the above items you can still open "Draft" PR. ## Who can review? Anyone in the community is free to review the PR once the checks have passed. [Contributor guidelines](https://github.com/NVIDIA/NeMo/blob/main/CONTRIBUTING.md) contains specific people who can review PRs to various areas. # Additional Information * Related to # (issue)
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Cherry pick `DB tutorial ckpt path update (10662)` into `r2.0.0`
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[πŸ€–]: Hi @Victor49152 πŸ‘‹,<br><br>we've cherry picked #10662 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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Cherry pick `Akoumparouli/fix get tokenizer list (10596)` into `r2.0.0`
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[πŸ€–]: Hi @akoumpa πŸ‘‹,<br><br>we've cherry picked #10596 into `r2.0.0` for you! πŸš€<br><br>Please review and approve this cherry pick by your convenience\!
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