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v0.23.3

mosaicml/composer

版本发布时间: 2024-06-21 08:18:38

mosaicml/composer最新发布版本:v0.25.0(2024-09-25 04:56:05)

New Features

1. Update mlflow logger to use the new API with time-dimension to view images in MLFlow (#3286)

We've enhanced the MLflow logger's log_image function to use the new API with time-dimension support, enabling images to be viewed in MLflow.

2. Add logging buffer time to MLFLow logger (#3401)

We've added the logging_buffer_seconds argument to the MLflow logger, which specifies how many seconds to buffer before sending logs to the MLflow tracking server.

Bug Fixes

1. Only require databricks-sdk when on Databricks platform (#3389)

Previously, MLFlow always imported the databricks-sdk. Now, we only require the sdk if on the databricks platform and using databricks secrets to access managed MLFlow.

2. Skip extra dataset state load during job resumption (#3393)

Previously, when loading a checkpoint with train_dataloader, the dataset_state would load first, and if train_dataloader was set again afterward, load_state_dict would be called with a None value. Now, we've added a check in the train_dataloader setter to skip this redundant load.

3. Fix auto-microbatching on CUDA 12.4 (#3400)

In CUDA 12.4, the out-of-memory error message has changed to CUDA error: out of memory. Previously, our logic hardcoded checks for CUDA out of memory when using device_train_microbatch_size="auto". Now, we check for both CUDA out of memory and CUDA error: out of memory.

4. Fix mlflow logging to Databricks workspace file paths which startswith /Shared/ prefix (#3410)

Previously, for MLflow logging, we prepended the path /Users/ to all user-provided logging paths on the Databricks platform, if not specified, including paths starting with /Shared/, which was incorrect since /Shared/ indicates a shared workspace. Now, the /Users/ prepend is skipped for paths starting with /Shared/.

What's Changed

New Contributors

Full Changelog: https://github.com/mosaicml/composer/compare/v0.23.2...v0.23.3

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