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9 daysfeat: Enable user parameters for activation functions in conv2d rewritesNathan Bailey
Allow the user to specify an activation function for conv2d rewrites Enable automatic detection of most common activation function in rewrite in the case that the user does not specify one Resolves: MLIA-1163 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: Icbf6f4c6f8eaba6d78b88bdf62448f1d30aed1ae
12 daysfeat: Enable rewrite parameterisation for specific rewritesNathan Bailey
Adds support for rewrite-specific parameters Resolves: MLIA-1114 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: I290c326af3356033a916a43b28027819c876c3dd
2024-05-08feat: Enables augmentations via --optimization-profileNathan Bailey
- Enables user to specify augmentations via the --optimization-profile switch - Can specify from pre-given examples or can provide each parameter manually - Updates README Resolves: MLIA-1147 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: I9cbe71d85def6a8db9dc974adc4bcc8d90625505
2024-03-14feat: Enable rewrite parameterisationNathan Bailey
Enables user to provide a toml or default profile to change training settings for rewrite optimization Resolves: MLIA-1004 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: I3bf9f44b9a2062fb71ef36eb32c9a69edcc48061
2024-02-23refactor: Migrate from Vela's internal code to CSV summaryNathan Bailey
Removes vela defines from vela compiler.py and performance.py Replaces calls to vela code with data from vela summary csv Resolves: MLIA-1024 Signed-off-by: Nathan Bailey <nathan.bailey@arm.com> Change-Id: I569878f2936767f70c0255919ca40d1969275529
2023-11-15Add linters/checkers for TOML files to pre-commitsBenjamin Klimczak
Change-Id: I8a228cbab405b4d4112e5e38856b3cb92304cba7 Signed-off-by: Benjamin Klimczak <benjamin.klimczak@arm.com>
2023-08-21MLIA-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>
2023-02-13MLIA-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
2023-02-08MLIA-595 Remove old backend configuration mechanismDmitrii Agibov
- Remove old backend configuration code - Install backends into directory ~/.mlia - Rename targets/backends in registry to make it consistent across codebase. Change-Id: I9c8b012fe863280f1c692940c0dcad3ef638aaae
2023-02-08MLIA-590 Support path to custom target profilesAnnie Tallund
- Start using TOML format for target profile - Add support for loading custom target profile files Change-Id: I6be019d4341e93115440ccdbdb6dafdc1c85b966
2022-10-21MLIA-671 Update generic inference runner to 22.08Diego Russo
Due to the new version of Corstone-310, the generic inference runner has been updated to 22.08: * The inference runner 22.08 doesn't have timing adapters because incompatible with new version of Corstone-310 * Remove some memory mode logic which is not needed anymore * Corstone-310 allows to run Ethos-U65 simulation hence adding the binary for enabling this case * Delete the inference runner 22.05 * Fix codebase and tests to cope with changes above Change-Id: I3dc894d7cb49b09102a19b0d7f588694a0f3b99f
2022-10-18MLIA-409 Create new Cortex-A device skeletonRaul Farkas
* Add Cortex-A device skeleton * Add unit tests for the Cortex-A device skeleton * Update profiles.json by adding the new "cortex-a" profile * Add new cortex-a factory to the get_advisor method in api.py * Disable performance and optimization commands for the cortex-a profile. * Update trademarks section in README.md * Update pyproject.toml to not run similarity check in imports Change-Id: I2e228aaada1e2d3c5cc329d70572b51962ff517f
2022-10-07MLIA-607 Update documentation and commentsDmitrii Agibov
Use "TensorFlow Lite" instead of "TFLite" in documentation and comments Change-Id: Ie4450d72fb2e5261d152d72ab8bd94c3da914c46
2022-09-21MLIA-618 MLIA performance for Ethos-U65-256Ruomei Yan
- added the target profile for ethos-u65-256 - modified the unit tests regarding target profiles - updated the README.md Change-Id: I0f6b50199e735a18f0b436d291c871e1fa0460dd
2022-08-19MLIA-549 Integrate TOSA checker into MLIADmitrii Agibov
- Add new module for TOSA - Add advisor workflow components - Use TOSA checker for getting operators compatibility information Change-Id: I769e5e2a84e15779658f0895b4a347384def63bf
2022-07-26MLIA-551 Rework remains of AIET architectureBenjamin Klimczak
Re-factoring the code base to further merge the old AIET code into MLIA. - Remove last traces of the backend type 'tool' - Controlled systems removed, including SSH protocol, controller, RunningCommand, locks etc. - Build command / build dir and deploy functionality removed from Applications and Systems - Moving working_dir() - Replace module 'output_parser' with new module 'output_consumer' and merge Base64 parsing into it - Change the output consumption to optionally remove (i.e. actually consume) lines - Use Base64 parsing in GenericInferenceOutputParser, replacing the regex-based parsing and remove the now unused regex parsing - Remove AIET reporting - Pre-install applications by moving them to src/mlia/resources/backends - Rename aiet-config.json to backend-config.json - Move tests from tests/mlia/ to tests/ - Adapt unit tests to code changes - Dependencies removed: paramiko, filelock, psutil - Fix bug in corstone.py: The wrong resource directory was used which broke the functionality to download backends. - Use f-string formatting. - Use logging instead of print. Change-Id: I768bc3bb6b2eda57d219ad01be4a8e0a74167d76
2022-07-08MLIA-546 Merge AIET into MLIABenjamin Klimczak
Merge the deprecated AIET interface for backend execution into MLIA: - Execute backends directly (without subprocess and the aiet CLI) - Fix issues with the unit tests - Remove src/aiet and tests/aiet - Re-factor code to replace 'aiet' with 'backend' - Adapt and improve unit tests after re-factoring - Remove dependencies that are not needed anymore (click and cloup) Change-Id: I450734c6a3f705ba9afde41862b29e797e511f7c
2022-07-04MLIA-316 Specify cache arena size in the Vela memory profilesRuomei Yan
When running the e2e test of Wav2Letter, the tensor allocation failed. To resolve this, we changed the arena cache size to 2096768. This is due to the requirement in Vela. We need to make it aware of the memory limitation on the target we are deploying for. Change-Id: I192790033954058fa5db249452d998764df52663
2022-05-30Add MLIA codebase0.3.0-rc.1Diego Russo
Add MLIA codebase including sources and tests. Change-Id: Id41707559bd721edd114793618d12ccd188d8dbd
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