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2024-02-14docs: Update RELEASES.md for release 0.8.00.8.0-rc.10.8.0Benjamin Klimczak
Resolves: MLIA-1074 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com> Change-Id: Id23da33fefbe5ef61b2e507f6c7706e3ed3d0bef
2024-02-09feat: Integrate Vela's per-layer performance estimatesNathan Bailey
Resolves: MLIA-1055, MLIA-1056, MLIA-1057 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: Id573cec94e4a69117051dcd5175f383c0955d890
2024-01-23fix: Improve error handling for invalid fileAnnie Tallund
If a file has the right extension, MLIA previously tried to load files with invalid content, resulting in confusing errors. This patch adds better reporting for that scenario Resolves: MLIA-1051 Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I3f1fd578906a73a58367428f78409866f5da7836
2024-01-23build: Integrate Commitizen to check commit messages and generate changelogGergely Nagy
The commit messages are checked against the Conventional Commits (https://www.conventionalcommits.org) specification, along with minor customizations (eg, capitalized header, some irrelevant commit types removed Checking messages is integrated into `tox -e lint`. Changelog generation is integrated into "tox -e changelog", which runs `cz changelog` command underneath and incrementally updates RELEASES.md. Change-Id: I86f21f6c78a166d3bb92450a027a2d7e71ce22cf Signed-off-by: Gergely Nagy <gergely.nagy@arm.com>
2023-12-07MLIA-835 Invalid JSON outputGergely Nagy
TFLiteConverter was producing log messages in the output that was not possible to capture and redirect to logging. The solution/workaround is to run it as a subprocess. This change required some refactoring around existing invocations of the converter. Change-Id: I394bd0d49d36e6686cfcb9d658e4aad05326cb87 Signed-off-by: Gergely Nagy <gergely.nagy@arm.com>
2023-12-04Update to Vela 3.10, TensorFlow 2.14, Python 3.9Benjamin Klimczak
Updating to Vela 3.10 which requires TensorFlow 2.14 which requires Python 3.9 (dropping support for Python 3.8). Resolves: MLIA-997 Change-Id: Id60bd08f7156a8efa204ef71ba81590edf0e3b28 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-12-04MLIA-136 Add flaky dependency for unstable testsAnnie Tallund
- https://github.com/box/flaky - Is set to re-run tests marked with @flaky - Provides a report on failures - Add flaky guard to tests/test_nn_tensorflow_optimizations_clustering.py Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I6795fd8bb2c38be6513f3689c3eeb805e7976add
2023-11-24MLIA-1037 Fix default backend validationBenjamin Klimczak
Add a check to see if the default backends are installed when no backend is provided via CLI. Change-Id: I27dd9f35cfeec187f44cba06915d1be5a3a052b5 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-11-22MLIA-963: Capture and handle Vela warningMichiel Olieslagers
Signed-off-by: Gergely Nagy <gergely.nagy@arm.com> Change-Id: I6c8b0b74d6d35261eb0ff1a37b9577f9033be8f9
2023-11-16MLIA-136 Update RELEASES.md with pruning test issueAnnie Tallund
Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I2b2383533578b815372e26f01d6066b4a9b39df0
2023-11-16MLIA-790 Update README.mdAnnie Tallund
- New overview on Arm MLIA Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I7da120aefb23ac6434c99c41e65a051f4a0bd8fa
2023-11-15Add linters/checkers for TOML files to pre-commitsBenjamin Klimczak
Change-Id: I8a228cbab405b4d4112e5e38856b3cb92304cba7 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-11-03Fix PytestCollectionWarning in unit testsBenjamin Klimczak
Rename 'TestTrainingParameters' to 'MockTrainingParameters' to avoid a PytestCollectionWarning during test parsing Change-Id: I26b52d46aa71bcc6748e38e92331be21a667e8c9 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-10-31MLIA-1019 Fix rebase artifactGergely Nagy
Fixed an artifact that crept in during the upstream rebase process, change a6ae703b6e41c73 was being taken out, but 3cd84481fa25 reintroduced the first part of a try/except block which caused a syntax error. Change-Id: I7fc2e18a227a30ebaaee0763450ee68646611add Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-10-11Enable rewrites for quantized input modelsBenjamin Klimczak
If the input model for rewriting is quantized: - Record de-quantized TFRecords - enable writing de-quantized calibration data for the training - re-generate augmented training data, if needed - Use quantization-aware training (QAT) to train the replacement models - Check if replacement model is quantized: If source model is quantized, we make sure rewrite's output model is quantized too. Right now, only int8 is supported so raising an error if any other datatype is present in the output. Resolves: MLIA-907, MLIA-908, MLIA-927 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com> Change-Id: Icb4070a9e6f1fdb5ce36120d73823986e89ac955
2023-10-11Re-factoring of rewrite management & added metricsGergely Nagy
- List available rewrites - Refactor/rename 'Rewrite' class to 'RewritingOptimizer' - Introduce a registry for rewrite functions - Refactor 'Rewriter' to use the registry to look up rewrite functions - Remove mentions of hardcoded "fully_connected" from CLI help and error messages, using the registry instead - Add unit tests - Enable rewrites for all targets: Extract optimization (including rewrite specific code) from the Ethos-U-specific data collector into OptimizingDataCollector. This is reused in other targets' collectors, such as TOSA and Cortex-A. - Add more logging for rewrite - add display of MAE and NRMSE values for the trained result - add total model MAE and NRMSE metric Resolves: MLIA-891, MLIA-899, MLIA-906 Change-Id: Ie798749e1ed60cab14fdb6d9c2271c833960e93f Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-10-11Bug-fixes and re-factoring for the rewrite moduleBenjamin Klimczak
- Fix input shape of rewrite replacement: During and after training of the replacement model for a rewrite the Keras model is converted and saved in TensorFlow Lite format. If the input shape does not match the teacher model exactly, e.g. if the batch size is undefined, the TFLiteConverter adds extra operators during conversion. - Fix rewritten model output - Save the model output with the rewritten operator in the output dir - Log MAE and NRMSE of the rewrite - Remove 'verbose' flag from rewrite module and rely on the logging mechanism to control verbose output. - Re-factor utility classes for rewrites - Merge the two TFLiteModel classes - Move functionality to load/save TensorFlow Lite flatbuffers to nn/tensorflow/tflite_graph - Fix issue with unknown shape in datasets After upgrading to TensorFlow 2.12 the unknown shape of the TFRecordDataset is causing problems when training the replacement models for rewrites. By explicitly setting the right shape of the tensors we can work around the issue. - Adapt default parameters for rewrites. The training steps especially had to be increased significantly to be effective. Resolves: MLIA-895, MLIA-907, MLIA-946, MLIA-979 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com> Change-Id: I887ad165aed0f2c6e5a0041f64cec5e6c5ab5c5c
2023-10-11Implement first rewrite (proof of concept)Ruomei Yan
* Define replacement function fully_connected layer * Define RewriteConfiguration and Rewriter to integrate rewrite module into mlia optimize command * Fix a bug in the ethos_u/data_collection.py file * Fix a bug in join.py * Remove diff_stats and use diff instead, added related changes around this to ensure e2e tests passing * Add unit tests for all changes * Fix bug in diff_stats function * The bug was caused by a dividing by numpy array of all zeros. The previous way of handling it did not consider the all zeros case but only dealt with partially zeros * unit tests added. * Fix the bug in rewrite/core/graph_edit/join.py * Remove the possibility of passing None to append_relabel function because it is immutable * The bug happened when empty dictionary was passed in the append_relabel function and the function overwrites the reference of operator_map which caused the dictionary was not updated after the function call Resolves: MLIA-749, MLIA-864, MLIA-866 Change-Id: I1ab426996232f182345e6e98033d5dcb32aea08c Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-10-11Adapt rewrite module to MLIA coding standardsAnnie Tallund
- Fix imports - Update variable names - Refactor helper functions - Add licence headers - Add docstrings - Use f-strings rather than % notation - Create type annotations in rewrite module - Migrate from tqdm to rich progress bar - Use logging module in rewrite module: All print statements are replaced with logging module Resolves: MLIA-831, MLIA-842, MLIA-844, MLIA-846 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com> Change-Id: Idee37538d72b9f01128a894281a8d10155f7c17c
2023-10-11MLIA-843 Add unit tests for module mlia.nn.rewriteBenjamin Klimczak
Note: The unit tests mostly call the main functions from the respective modules only. Change-Id: Ib2ce5c53d0c3eb222b8b8be42fba33ac8e007574 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-10-11Add a CLI component to enable rewritesRuomei Yan
* Add flags for rewrite (--rewrite, --rewrite-start, --rewrite-end, --rewrite-target) * Refactor CLI interfaces to accept tflite models with optimize for rewrite, keras models with optimize for clustering and pruning * Refactor and move common.py and select.py out of the folder nn/tensorflow/optimizations * Add file nn/rewrite/core/rewrite.py as placeholder * Update/add unit tests * Refactor OptimizeModel in ethos_u/data_collection.py for accepting tflite model case * Extend the logic so that if "--rewrite" is specified, we don't add pruning to also accept TFLite models. * Update README.md Resolves: MLIA-750, MLIA-854, MLIA-865 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com> Change-Id: I67d85f71fa253d2bad4efe304ad8225970b9622c
2023-10-11MLIA-845 Migrate rewrite codeAnnie Tallund
- Add required files for rewriting of TensorFlow Lite graphs - Adapt rewrite dependency paths and project name - Add license headers Change-Id: I19c5f63215fe2af2fa7d7d44af08144c6c5f911c Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-09-29MLIA-984 Pin 'build' package to ~=0.10.0Benjamin Klimczak
The recent update to version 1.0.3 causes issues when building. Change-Id: I74db3b419ece7b744cbb48c8e11096e99709a9cd Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-09-26MLIA-469 Support batch size > 1 for optimizationsAnnie Tallund
- Add a PruningPolicy to skip layers that are not supported by the Keras pruning API - Make dataset generation more generic to support use-cases beyond classification Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I198dae2b53860f449f2fdbc71575babceed1ffcf
2023-09-08MLIA-961 Update pre-commit hook versionsBenjamin Klimczak
- Update dependencies in .pre-commit.yaml - Fix code issues with new linters Change-Id: I36964ecf1a405dd8faac01b4470b56122a7cad17 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-09-05MLIA-961 Update tox dependenciesBenjamin Klimczak
- Update version dependencies in the tox.ini - Fix linter issues Change-Id: I04c3a841ee2646a865dab037701d66c28792f2a4 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-09-05MLIA-961 Update MLIA dependenciesBenjamin Klimczak
Update Vela, TensorFlow and other dependencies. Change-Id: Id497084391d31548c2f307f5a4b7981981fa25a5 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-08-22MLIA-932 Update RELEASES.md0.7.0-rc.10.7.0Annie Tallund
Signed-off-by: Annie Tallund <annie.tallund@arm.com> Change-Id: I3c3f458dab214a7be00dd50c640a62767389fd9b
2023-08-22MLIA-757: Update Vela and TensorFlow dependenciesJoseph Tummon
Ignoring new 'Conv_hwcn_Weights' layer that is named in TensorFlow 2.11.1 and used as buffer for float32 only. Signed-off-by: Joseph Tummon <Joseph.Tummon@arm.com> Change-Id: Iaa579c76013b1e0dc505466c46f5864a96af8c6d
2023-08-21MLIA-881 Update compatible operators for Cortex-ABenjamin Klimczak
Update the compatibility information of the backend for ArmNN TensorFlow Lite Delegate (classic) to version 23.05. Change-Id: I84693842d1a883f7083a6faf7d5ddcd5ecc34e5d Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-07-25MLIA-757: Update Vela and remove NumPy dependencyJoseph Tummon
Two warnings appear when running e2e tests from where TensorFlow declares ranges of NumPy dtype, but this shouldn't affect anything else in MLIA. Change-Id: Idc22f1de352980c70d27cdcba35a51a1e1efaafc Signed-off-by: Joseph Tummon <Joseph.Tummon@arm.com>
2023-05-15Add contribution guidanceAnton Kachatkou
Signed-off-by: Anton Kachatkou <anton.kachatkou@arm.com> Change-Id: Ie74d7f8e7a4df319b72b64dda85cc9b754769dc5
2023-05-15MLIA-755 Remove TOSA Extra DependencyDhruv Chauhan
- Removed TOSA Checker dependency from setup.cfg - Installation process calls directly the installation of TOSA Checker instead of the extra dependency Change-Id: I21e309b9316671959483bd2ef1ecaf644936a4cb
2023-04-12MLIA-849 Update mypy version and fix associated issuesAnnie Tallund
- Remove unused silencing of typing - Amend None type hints where it is default Change-Id: Id972b56dcdce865bf6c9d6aea88bc76baf39133e
2023-04-11MLIA-825 Make backend installation more genericBenjamin Klimczak
Use the backend registry to manage installation routines for different backends as well. This makes the process more generic and allows us to move towards plug & play for backends (i.e. there should be no code changes needed in the general MLIA code to add/support new backends). Change-Id: Ib7c772ec52b2f4d857c2c9871e44dfff97e9d970
2023-04-04MLIA-816 Correctly name TOSA Checker attributeDhruv Chauhan
- JSON output now reports tosa_checker as attribute name, which accurately represents its value as the version of TOSA Checker Change-Id: I8ac5032fea5dae65382db76091d295595a644816
2023-03-24MLIA-711 Extend TensorFlow Lite Compatibility CheckDhruv Chauhan
- Unify the TensorFlow Lite compatibility check across Cortex-A, TOSA and Ethos-U targets - Display tables/messages with parsed information - Do not display raw TensorFlow Lite errors, and return with exit code 0 Change-Id: I9333fdb6cbe592f1ed7395d392412168492a1479
2023-02-21MLIA-813 Change default output directory0.6.0-rc.30.6.0Dmitrii Agibov
- Use directory mlia-output as output directory for MLIA - If parameter --output-dir provided then place directory mlia-output under specified path or otherwise create it in the current working directory Change-Id: I298088c4aa8dbe9f35dee69ecb9ff6e9ea3cac0a
2023-02-16MLIA-812 Show error message for unsupported functionality0.6.0-rc.2Dmitrii Agibov
Change-Id: I68fb8c4e51046e9fc2d91ad8338718ba545209cd
2023-02-15MLIA-814 Specify required Python version exactlyBenjamin Klimczak
There is an issue with Python 3.8.0 that makes it impossible to use MLIA. It is fixed from Python 3.8.1 onwards. https://github.com/python/cpython/issues/82019 Change-Id: I48c0a5f103fb29561be483875ba706928b7e77d1
2023-02-15MLIA-798 Update/check RELEASES.mdRuomei Yan
Change-Id: I5eff40ac2050b77f580460c2d5233ed6e96adeb7
2023-02-15MLIA-813 Change default output directoryDmitrii Agibov
- If no output directory provided then create one in the current working directory - Update documentation and tests Change-Id: Id1f2acef14e1bd2edffbfa6139a961a5c5018211
2023-02-13MLIA-709 Update compatibility data for Cortex-A0.6.0-rc.1Annie Tallund
- Add operator compatibility data for Cortex-A via for ArmNN TensorFlow Lite delegate 22.11 - Extend the Cortex-A target profile to include the version of the ArmNN TensorFlow Lite delegate to be used. - Some re-factoring work to support multiple versions and the new target profile parameter. Change-Id: Iae91bb0757ea3909be975af68b34d0ca2be47c43
2023-02-13MLIA-775 Refactor metadata related classesRuomei Yan
- define Metadata base class with dictionary data and abstract method - mlia, tosa, model and metadatadisplay classes are all inherited from base class - update unit tests - update function report_metadata into more generalized format Change-Id: Id49e15283eebdca705045eda81db637d82f85453
2023-02-13MLIA-811 Fix issue with CLI parser in e2e testsDmitrii Agibov
- Create new CLI parser instance whenever needed as it contains static data and could not be reused Change-Id: I8a67bb585e95d972304eca809ff28b822a3151b6
2023-02-10MLIA-769 Add "pretty names" for targets / backendsBenjamin Klimczak
- Provide "pretty names" to print information for targets and backends. - Use 'target_config' instead of 'target' if a target profile is used. - Fix minor issue in output regarding the output directory. Change-Id: Ib38231f30b4d609a0d1e8f9c52b2fb547c69cb6a
2023-02-10MLIA-769 Replace use of 'device' with 'target'Benjamin Klimczak
Term 'device' can be ambiguous and is replaced with 'target'. Change-Id: I5e5108d033a13b98e4c2997713e1c32bce63ae62
2023-02-10MLIA-769 Expand use of target/backend registriesBenjamin Klimczak
- Use the target/backend registries to avoid hard-coded names. - Cache target profiles to avoid re-loading them Change-Id: I474b7c9ef23894e1d8a3ea06d13a37652054c62e
2023-02-10MLIA-592 Add documentation for using custom target profilesAnnie Tallund
Change-Id: I7dda9c2b99a1464d9682074245584d8c518a9c13
2023-02-10MLIA-594 Save target profile configurationAnnie Tallund
Save the target profile file in the output directory. Change-Id: I886e52cb922c5425e749b154bd67a5d294ce0201
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