Co-authored-by: xinzhang3 <xinzhang3@microsoft.com>
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Bonytu 2023-10-26 13:31:53 +08:00 коммит произвёл GitHub
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Коммит 767ed7f22e
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4 изменённых файлов: 129 добавлений и 3 удалений

3
dependencies/recommended.txt поставляемый
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@ -20,4 +20,5 @@ tianshou >= 0.4.1
matplotlib
git+https://github.com/microsoft/nn-Meter.git#egg=nn_meter
sympy
timm >= 0.5.4
timm >= 0.5.4
typing_extensions >= 4.7.0

2
dependencies/required.txt поставляемый
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@ -19,6 +19,6 @@ scikit-learn >= 0.24.1
scipy < 1.8 ; python_version < "3.8"
scipy ; python_version >= "3.8"
tqdm
typeguard >= 3.0.0
typeguard >= 3.0.0, < 4.1.3
typing_extensions >= 4.7.0
websockets >= 10.1

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@ -31,7 +31,7 @@ author = 'Microsoft'
version = ''
# The full version, including alpha/beta/rc tags
# FIXME: this should be written somewhere globally
release = 'v3.0rc1'
release = 'v3.0pt1'
# -- General configuration ---------------------------------------------------
@ -117,6 +117,8 @@ linkcheck_ignore = [
r'https://cla\.opensource\.microsoft\.com',
r'https://www\.docker\.com/',
r'https://nlp.stanford.edu/projects/glove/',
r'https://code.visualstudio.com/docs/python/editing#_formatting',
r'https://dl.acm.org/doi/10.1145/3352020.3352031',
# remove after 3.0 release
r'https://nni\.readthedocs\.io/en/v2\.10/compression/overview\.html',

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@ -5,6 +5,126 @@
Change Log
==========
Release 3.0 - 21/8/2023
-----------------------
Web Portal
^^^^^^^^^^
* New look and feel
Neural Architecture Search
^^^^^^^^^^^^^^^^^^^^^^^^^^
* **Breaking change**: ``nni.retiarii`` is no longer maintained and tested. Please migrate to ``nni.nas``.
* Inherit ``nni.nas.nn.pytorch.ModelSpace``, rather than use ``@model_wrapper``.
* Use ``nni.choice``, rather than ``nni.nas.nn.pytorch.ValueChoice``.
* Use ``nni.nas.experiment.NasExperiment`` and ``NasExperimentConfig``, rather than ``RetiariiExperiment``.
* Use ``nni.nas.model_context``, rather than ``nni.nas.fixed_arch``.
* Please refer to `quickstart <https://nni.readthedocs.io/en/v3.0rc1/tutorials/hello_nas.html>`_ for more changes.
* A refreshed experience to construct model space.
* Enhanced debuggability via ``freeze()`` and ``simplify()`` APIs.
* Enhanced expressiveness with ``nni.choice``, ``nni.uniform``, ``nni.normal`` and etc.
* Enhanced experience of customization with ``MutableModule``, ``ModelSpace`` and ``ParamterizedModule``.
* Search space with constraints is now supported.
* Improved robustness and stability of strategies.
* Supported search space types are now enriched for PolicyBaseRL, ENAS and Proxyless.
* Each step of one-shot strategies can be executed alone: model mutation, evaluator mutation and training.
* Most multi-trial strategies now supports specifying seed for reproducibility.
* Performance of strategies have been verified on a set of benchmarks.
* Strategy/engine middleware.
* Filtering, replicating, deduplicating or retrying models submitted by any strategy.
* Merging or transforming models before executing (e.g., CGO).
* Arbitrarily-long chains of middlewares.
* New execution engine.
* Improved debuggability via SequentialExecutionEngine: trials can run in a single process and breakpoints are effective.
* The old execution engine is now decomposed into execution engine and model format.
* Enhanced extensibility of execution engines.
* NAS profiler and hardware-aware NAS.
* New profilers profile a model space, and quickly compute a profiling result for a sampled architecture or a distribution of architectures (FlopsProfiler, NumParamsProfiler and NnMeterProfiler are officially supported).
* Assemble profiler with arbitrary strategies, including both multi-trial and one-shot.
* Profiler are extensible. Strategies can be assembled with arbitrary customized profilers.
Model Compression
^^^^^^^^^^^^^^^^^
* Compression framework is refactored, new framework import path is ``nni.contrib.compression``.
* Configure keys are refactored, support more detailed compression configurations.
* Support multi compression methods fusion.
* Support distillation as a basic compression component.
* Support more compression targets, like ``input``, ``ouptut`` and any registered paramters.
* Support compressing any module type by customizing module settings.
* Model compression support in DeepSpeed mode.
* Fix example bugs.
* Pruning
* Pruner interfaces have fine-tuned for easy to use.
* Support configuring ``granularity`` in pruners.
* Support different mask ways, multiply zero or add a large negative value.
* Support manully setting dependency group and global group.
* A new powerful pruning speedup is released, applicability and robustness have been greatly improved.
* The end to end transformer compression tutorial has been updated, achieved more extreme compression performance.
* Fix config list in the examples.
* Quantization
* Support using ``Evaluator`` to handle training/inferencing.
* Support more module fusion combinations.
* Support configuring ``granularity`` in quantizers.
* Bias correction is supported in the Post Training Quantization algorithm.
* LSQ+ quantization algorithm is supported.
* Distillation
* DynamicLayerwiseDistiller and Adaptive1dLayerwiseDistiller are supported.
* Compression documents now updated for the new framework, the old version please view `v2.10 <https://nni.readthedocs.io/en/v2.10/>`_ doc.
* New compression examples are under `nni/examples/compression <https://github.com/microsoft/nni/tree/v3.0rc1/examples/compression>`_
* Create a evaluator: `nni/examples/compression/evaluator <https://github.com/microsoft/nni/tree/v3.0rc1/examples/compression/evaluator>`_
* Pruning a model: `nni/examples/compression/pruning <https://github.com/microsoft/nni/tree/v3.0rc1/examples/compression/pruning>`_
* Quantize a model: `nni/examples/compression/quantization <https://github.com/microsoft/nni/tree/v3.0rc1/examples/compression/quantization>`_
* Fusion compression: `nni/examples/compression/fusion <https://github.com/microsoft/nni/tree/v3.0rc1/examples/compression/fusion>`_
Training Services
^^^^^^^^^^^^^^^^^
* **Breaking change**: NNI v3.0 cannot resume experiments created by NNI v2.x
* Local training service:
* Reduced latency of creating trials
* Fixed "GPU metric not found"
* Fixed bugs about resuming trials
* Remote training service:
* ``reuse_mode`` now defaults to ``False``; setting it to ``True`` will fallback to v2.x remote training service
* Reduced latency of creating trials
* Fixed "GPU metric not found"
* Fixed bugs about resuming trials
* Supported viewing trial logs on the web portal
* Supported automatic recover after temporary server failure (network fluctuation, out of memory, etc)
* Get rid of IoC and remove unused training services.
Release 3.0 Preview - 5/9/2022
------------------------------
@ -25,18 +145,21 @@ Neural Architecture Search
* Please refer to `quickstart <https://nni.readthedocs.io/en/v3.0rc1/tutorials/hello_nas.html>`_ for more changes.
* A refreshed experience to construct model space.
* Enhanced debuggability via ``freeze()`` and ``simplify()`` APIs.
* Enhanced expressiveness with ``nni.choice``, ``nni.uniform``, ``nni.normal`` and etc.
* Enhanced experience of customization with ``MutableModule``, ``ModelSpace`` and ``ParamterizedModule``.
* Search space with constraints is now supported.
* Improved robustness and stability of strategies.
* Supported search space types are now enriched for PolicyBaseRL, ENAS and Proxyless.
* Each step of one-shot strategies can be executed alone: model mutation, evaluator mutation and training.
* Most multi-trial strategies now supports specifying seed for reproducibility.
* Performance of strategies have been verified on a set of benchmarks.
* Strategy/engine middleware.
* Filtering, replicating, deduplicating or retrying models submitted by any strategy.
* Merging or transforming models before executing (e.g., CGO).
* Arbitrarily-long chains of middlewares.