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Releases: mosaicml/composer

v0.19.1

08 Feb 20:49
@milocress milocress
v0.19.1
e49670a
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v0.19.1

What's New

1. New Event: BEFORE_LOAD (#2974)

Composer now has the events Event.BEFORE_LOAD, which lets users modify state before a model is loaded. This is particularly useful for accessing certain attributes which may not exist at Event.INIT, such as the dataloader state.

2. Registering model in MLFlow with run id (#2967)

The MLFlow logger now has register_model_with_run_id, which allows users to register a model based on the run_id. This is a different way of registering the model which preserves the link to the mlflow runs.

What's Changed

  • before_load event added #2974
  • Add a register_model_with_run_id api to MLflowLogger #2967

Full Changelog: v0.19.0...v0.19.1

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v0.19.0

02 Feb 09:07
@j316chuck j316chuck
v0.19.0
de89606
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v0.19.0

What's New

1. Improved DTensor Support

Composer now supports elastic saving and loading of DTensors at various mesh sizes.

2. Checkpoint Saving and Loading from Databricks MLFlow

Composer now supports saving and loading checkpoints to Databricks-managed MLFlow.

composer_model = MyComposerModel(...)

trainer = Trainer(
      model=composer_model,
      save_folder= 'dbfs:/databricks/mlflow-tracking/{mlflow_experiment_id}/{mlflow_run_id}/artifacts',
      logger=MLFlowLogger(...),
      load_path= 'dbfs:/databricks/mlflow-tracking/{mlflow_experiment_id}/{mlflow_run_id}/artifacts',
      ...
)

3. Better Communication Computation Overlap in FSDP

Composer now has improved communication/computation overlap in our FSDP code which should improve MFU across several architectures.

4. Python3.11 + Torch2.2 Support

Initial support of Python3.11 + Torch2.2 added in Composer.

5. PEFT LoRA

PEFT LoRA is now supported in the HuggingFaceModel class.

6. Refactored Evaluation

in_context_learning_evaluation.py has a new design with cleaner abstractions and easier interfaces to work wtih.

7. Azure Checkpointing

Composer now supports saving your model in Azure.

8. MLFlow Checkpointing

Composer now supports saving your model in MLFlow.

Bug Fixes

What's Changed

New Contributors

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Contributors

eracah, JAEarly, and 16 other contributors
Assets 2
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v0.18.2

01 Feb 04:48
@b-chu b-chu
v0.18.2
cc5e35b
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v0.18.2

Bug Fixes

What's Changed

Full Changelog: v0.18.1...v0.18.2

Contributors

b-chu and snarayan21
Assets 2
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v0.18.1

30 Jan 23:10
@b-chu b-chu
v0.18.1
79e3309
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v0.18.1

Bug Fixes

What's Changed

New Contributors

Full Changelog: v0.18.0...v0.18.1

Contributors

JAEarly, irenedea, and 5 other contributors
Assets 2
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v0.18.0

25 Jan 20:44
@b-chu b-chu
v0.18.0
844d1dc
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v0.18.0

This release has been yanked, please skip directly to Composer v0.18.1

New Features

1. Improved DTensor Support

Composer now supports elastic saving and loading of DTensors at various mesh sizes.

2. Checkpoint Saving and Loading from Databricks MLFlow

Composer now supports saving and loading checkpoints to Databricks-managed MLFlow.

composer_model = MyComposerModel(...)

trainer = Trainer(
      model=composer_model,
      save_folder= 'dbfs:/databricks/mlflow-tracking/{mlflow_experiment_id}/{mlflow_run_id}/artifacts',
      logger=MLFlowLogger(...),
      load_path= 'dbfs:/databricks/mlflow-tracking/{mlflow_experiment_id}/{mlflow_run_id}/artifacts',
      ...
)

Bug Fixes

Deprecations

  • Remove fused layernorm (already deprecated for 2 versions) by @mvpatel2000 in #2827

What's Changed

New Contributors

Full Changelog: v0.17.2...v0.18.0

Contributors

eracah, jerrychen109, and 13 other contributors
Assets 2
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v0.17.2

14 Dec 20:02
@mvpatel2000 mvpatel2000
v0.17.2
7e0e40a
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v0.17.2

New Features

1. Torch 2.1.1 Support

Composer now supports torch 2.1.1! This new release primarily fixes several small bugs that we had previously monkeypatched in Composer.

2. Faster OCI Upload/Download

Composer now supports multi-part upload/download to OCI, which should speedup object store times.

3. Memory Profiling

We've expanded the torch profiler integration to support memory profiling. Now, when the profile is enabled, you will get a trace showing how memory utilization is broken down by various components on your GPUs.

Bug Fixes

1. FSDP Initialization with Meta

Previously, our FSDP integration had a bug with initializing weights when using device=meta, which resulted in an additional scaling. This has now been fixed, so device and distributed strategies should not affect parallelization strategy.

What's Changed

New Contributors

Full Changelog: v0.17.1...v0.17.2

Contributors

j316chuck, irenedea, and 12 other contributors
Assets 2
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v0.17.1

27 Nov 22:07
@mvpatel2000 mvpatel2000
v0.17.1
2b3e2a6
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v0.17.1

Bug Fixes

1. MosaicML Logger Robustness (#2728)

We've improved the MosaicML logger to be more robust to faulty serialization.

What's Changed

Full Changelog: v0.17.0...v0.17.1

Contributors

eracah, j316chuck, and 7 other contributors
Assets 2
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v0.17.0

16 Nov 00:23
@mvpatel2000 mvpatel2000
v0.17.0
83a40f5
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v0.17.0

What's New

1. Hybrid Sharded Data Parallel (HSDP) Integration (#2648)

Composer now supports Hybrid Sharded Data Parallel (HSDP), where a model is both sharded and replicated across blocks of controllable size. By default, this will shard a model within a node and replicate across nodes, but Composer will accept a tuple of process groups to specify custom shard/replicate sizes. This can be specified in the FSDP config.

  composer_model = MyComposerModel(n_layers=3)

  fsdp_config = {
      'sharding_strategy': 'HYBRID_SHARD',
  }

  trainer = Trainer(
      model=composer_model,
      max_duration='4ba',
      fsdp_config=fsdp_config,
      ...
  )

HYBRID_SHARD will FULL_SHARD a model whereas _HYBRID_SHARD_ZERO2 will SHARD_GRAD_OP within the shard block.

2. Train Loss NaN Monitor (#2704)

Composer has a new callback which will raise a value error if your loss NaNs out. This is very useful to avoid wasting compute if your training run diverges or fails for numerical reasons.

  from composer.callbacks import NaNMonitor

  composer_model = MyComposerModel(n_layers=3)

  trainer = Trainer(
      model=composer_model,
      max_duration='4ba',
      callbacks=NaNMonitor(),
      ...
  )

Bug Fixes

What's Changed

New Contributors

Full Changelog: v0.16.4...v0.17.0

Contributors

eracah, j316chuck, and 10 other contributors
Assets 2
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v0.16.4

11 Oct 19:49
@mvpatel2000 mvpatel2000
v0.16.4
1c9d8d1
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v0.16.4

What's New

1. Torch 2.1 Support

Composer officially supports PyTorch 2.1! We support several new features from 2.1, including CustomPolicy which supports granular wrapping with FSDP.

What's Changed

New Contributors

Full Changelog: v0.16.3...v0.16.4

Contributors

eracah, ejyuen, and 9 other contributors
Assets 2
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v0.16.3

26 Sep 18:07
@mvpatel2000 mvpatel2000
v0.16.3
c82da77
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v0.16.3

What's New

1. Add pass@k for HumanEval

HumanEval now supports pass@k. We also support first-class integration with the MosaicML platform for secure code evaluation.

2. log_model with MLFlow

The MLFlow integration now supports log_model at the end of the run.

What's Changed

New Contributors

Full Changelog: v0.16.2...v0.16.3

Contributors

mcarbin, eracah, and 6 other contributors
Assets 2
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