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docs/source/release.rst
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* Modelspeedup does not support non-tensor intermediate variables | ||
* The training service runs much slower after a while. |
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Don't include this line. There's nothing to do with NNI.
docs/source/release.rst
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Neural Architecture Search | ||
^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
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* Added deduplication for evolutionary search. |
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deduplication -> trial deduplication
docs/source/release.rst
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^^^^^^^^^^^^^^^^^^^^^^^^^^ | ||
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* Added deduplication for evolutionary search. | ||
* Fixed the racing issue in RL strategy submit model. |
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submit model -> on submitting models?
docs/source/release.rst
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* Added deduplication for evolutionary search. | ||
* Fixed the racing issue in RL strategy submit model. | ||
* Fixed an issue introduced by the trial recovery feature. | ||
* Fixed import error of ``Lightning`` in nas. |
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Lightning
should be PyTorch Lightning
. nas should be NAS
docs/source/release.rst
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Compression | ||
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* #3514 |
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a little strange to simply put an id here
* #3514 | ||
* Fixed the bug that speedup ``rand_like_with_shape`` is easy to overflow when ``dtype=torch.int8``. | ||
* Fixed the bug when calling ``torch._C.parse_schema`` in pytorch < 1.9.0. | ||
* Fixed the propagation error with view tensors in speedup. |
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-> propagation error of torch.view
operator ?
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view tensors can be produced by many operators(30+, such as expand
, t
, or detach
).
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Got it. Is "...error with viewing (e.g., torch.view, torch.reshape) tensors..." better?
docs/source/release.rst
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Hyper-parameter optimization | ||
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* Fixed a dependency issue of Anneal tuner by change Anneal tuner dependency to optional. |
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change -> changing
docs/source/release.rst
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* Fixed a dependency issue of Anneal tuner by change Anneal tuner dependency to optional. | ||
* Fixed a bug that tuner might loss connection in long experiments. |
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loss -> lose
docs/source/release.rst
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Web portal | ||
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* Fixed an error in HPO experiment hyper-parameters page. |
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what is this error? better to very briefly describe it
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Hyper-parameter optimization | ||
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could add one more: Supported rerunning (resuming) the interrupted trials induced by the termination of an NNI experiment when resuming this experiment.
Description
Test Options
Checklist
How to test