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| author | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2022-10-25 18:12:34 +0100 |
|---|---|---|
| committer | Benjamin Klimczak <benjamin.klimczak@arm.com> | 2022-11-10 16:47:22 +0000 |
| commit | e40a7adadd254e29d71af38f69a0a20ff4871eef (patch) | |
| tree | 9a57ddf406846785683673565359d9bd6ba3cf0b /README.md | |
| parent | 720839a2dc6d4d75cd7aa77f83fcd49bcf114ba6 (diff) | |
| download | mlia-e40a7adadd254e29d71af38f69a0a20ff4871eef.tar.gz | |
MLIA-411 Report Cortex-A operator compatibility
Check input model for Arm NN TensorFlow Lite Delegate 22.08 support.
Change-Id: I1253c4c0b294c5283e08f0a39561b922ef0f62e6
Diffstat (limited to 'README.md')
| -rw-r--r-- | README.md | 39 |
1 files changed, 22 insertions, 17 deletions
@@ -14,12 +14,11 @@ If you find something that concerns you, email terms@arm.com. ## Introduction This tool is used to help AI developers design and optimize neural network -models for efficient inference on Arm® targets (e.g. Cortex®-M55 and -Ethos™-U55/Ethos™-U65, Cortex®-M85 and Ethos™-U55) by enabling performance analysis -and providing actionable advice early in the model development cycle. The final -advice can cover the operator list, performance analysis and suggestions for -model inference run on certain hardware before/after applying model optimization -(e.g. pruning, clustering, etc.). +models for efficient inference on Arm® targets (e.g. Cortex®-A or +Ethos™-U55/Ethos™-U65 with Cortex®-M55/Cortex®-M85) by enabling performance +analysis and providing actionable advice early in the model development cycle. +The final advice can cover supported operators, performance analysis and +suggestions for model optimization (e.g. pruning, clustering, etc.). ## Prerequisites and dependencies @@ -84,17 +83,21 @@ Not all backends work on any platform. Please refer to the compatibility table below: ``` -+---------------------------------------------------------------------------+ -| Backend | Linux | Windows | Python | -+============================================================================ -| Corstone-300 | x86_64 | Not compatible | Python>=3.8 | -+---------------------------------------------------------------------------- -| Corstone-310 | x86_64 | Not compatible | Python>=3.8 | -+---------------------------------------------------------------------------- -| TOSA checker | x86_64 (manylinux2014) | Not compatible | 3.7<=Python<=3.9 | -+---------------------------------------------------------------------------- -| Vela | x86_64 | Windows 10 | Python~=3.7 | -+---------------------------------------------------------------------------+ ++----------------------------------------------------------------------------+ +| Backend | Linux | Windows | Python | ++============================================================================= +| Arm NN | | | | +| TensorFlow | x86_64 | Windows 10 | Python>=3.8 | +| Lite delegate | | | | ++----------------------------------------------------------------------------- +| Corstone-300 | x86_64 | Not compatible | Python>=3.8 | ++----------------------------------------------------------------------------- +| Corstone-310 | x86_64 | Not compatible | Python>=3.8 | ++----------------------------------------------------------------------------- +| TOSA checker | x86_64 (manylinux2014) | Not compatible | 3.7<=Python<=3.9 | ++----------------------------------------------------------------------------- +| Vela | x86_64 | Windows 10 | Python~=3.7 | ++----------------------------------------------------------------------------+ ``` ### Using Corstone™-300 @@ -207,6 +210,7 @@ mlia operators --target-profile ethos-u55-256 ~/models/mobilenet_v1_1.0_224_quan target, MAC value, memory mode, etc ... * default: ethos-u55-256 * options: + * cortex-a * ethos-u55-256 * ethos-u55-128 * ethos-u65-512 @@ -378,6 +382,7 @@ mlia all_tests --output ./report.json ~/models/ds_cnn_l.h5 target, MAC value, memory mode, etc ... * default: ethos-u55-256 * options: + * cortex-a * ethos-u55-256 * ethos-u55-128 * ethos-u65-512 |