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67 lines
2.2 KiB
Markdown
67 lines
2.2 KiB
Markdown
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---
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title: Version 0.11
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---
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:::important
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**Trains** is now **ClearML**.
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:::
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## Version 0.11.3
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### Trains
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**Features and Bug Fixes**
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* Resource-Monitor will only monitor active GPU devices based on environment variables: `NVIDIA_VISIBLE_DEVICES` or `CUDA_VISIBLE_DEVICES`.
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* Fix issue ([GitHub Issue #48](https://github.com/allegroai/trains/issues/48)).
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## Version 0.11.2
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### Trains
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**Features and Bug Fixes**
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* Fix Python 2.7 support.
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* Improve sample code Windows support.
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## Version 0.11.1
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### Trains
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**Features and Bug Fixes**
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* Embed GPU Monitoring into **Trains** (removed gpustat dependency).
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* Add initial support for TensorFlow v2.0 (tested with v2.0.0rc1).
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* Add artifact upload retry on network errors (default: 3).
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* Suppress urllib3 retry warnings.
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* Fix Matplotlib support with Agg backend (multiple plot windows caused repeated graphs to be sent).
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* Fix support for tuples in hyperparameters.
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* Fix multi processing issues with different task types.
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## Version 0.11.0
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### Trains
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**Features and Bug Fixes**
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* Full artifacts support (supported by trains-server >= 0.11.0).
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* Artifacts include, Pandas.DataFrame, Numpy, PIL Image, local files, and local folder / wildcard ([example](https://github.com/allegroai/trains/blob/master/examples/reporting/artifacts.py)).
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* Artifacts support for folder / wildcard, selected files will be zipped and uploaded.
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* Resource monitoring, remove sensor reading failure warnings.
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**Breaking Changes**
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* Logger `info`/`error`/`warning`/`console` functions were removed, use `Logger.report_text` (or Python logging or print instead).
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* TensorBoard scalars are not grouped into one graph, but are stored on individual graphs (to match TensorBoard behavior).
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To restore previous behavior call: `Logger.tensorboard_auto_group_scalars(group_scalars=True)`.
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### Trains Server
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* Add scalar graphs smoothing (matched TensorBoard behavior).
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* Add scalar graphs X-axis selection: Iteration / Relative / Wall Time.
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* Add min / max / last value for all scalars (available in experiment table column selection / sorting).
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* Add hyperparameter to experiment table custom columns.
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* Add artifacts support (Models tab moved into artifacts as specific artifact type).
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* Add full Azure storage support.
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* Fix column sorting N/A values.
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