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* Currently using 21.11 release candidates
Signed-off-by: Richard Burton <richard.burton@arm.com>
Change-Id: I696b48c3a4c87c5dca3bbee957049790d900b48e
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These changes will limit the use of FPGA internal SRAM from a max
of 4MiB to 2MiB and the BRAM from 2MiB to 1MiB.
Change-Id: I69c8e695aee26ff4f235bfe83ffd26efbd66f547
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For easier look up and maintenance, all common CMake user options
have been consolidated in one CMake file.
NOTE: the individual use case specific options are still within
the correspoinding use case CMake files.
Change-Id: Id887f7b2c763f4d3eb997d997cf466684d0089b6
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-Updated CMake to use C++ 14
-Removed cmsis makefile include from tensorflow.cmake
-Documentation update
-Added more flags for processor in CMake
Change-Id: I1c2b72141e98a5cf8bb09176d7c331da3b05b4c5
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Signed-off-by: Liam Barry <liam.barry@arm.com>
Change-Id: Ibf712cb9359b9bc9977d4f77aec1d7c7f4245825
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* Use RNNoise model from PMZ
* Add Noise reduction use-case
Signed-off-by: Richard burton <richard.burton@arm.com>
Change-Id: Ia8cc7ef102e22a5ff8bfbd3833594a4905a66057
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Python scripts 'build_default.py' and 'set_up_default_resources.py'
now allow building for non-default Ethos-U configurations: H32, H64,
H256 and Y512.
Change-Id: Iefdbf135410396c4dc0be73462644725d4b47910
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* Changed image->cc conversion to be similar with preprocessing
of img_class and vww models: images are scaled maintaing the
aspect ration and then the centre crop of the correct size
is taken.
* VWW applies input quantization info to the int8 image
(prior converted to [0,1] float range).
* Changed adult_blur to a image without person.
* Fix menu print when selecting a specific ifm to run
(Select message was displayed after typing something)
Change-Id: Ie6cde7ab4835ea842667b87397458a5d32131df3
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* Fixed vww usage warnings (imageData in RunInferene and _GetImageIdx function)
Change-Id: I2c37e4e4cc8c8eca841690f2df8d525ed516ecc8
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Change-Id: Icf09410f12072e8d7850dd1e540c3243af24ed09
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Change-Id: Ifd6d3d72abb1e8ce058e612295d01a148962627e
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Documenting how the target platform's SRAM size impacts configuration files,
sources and linker scripts.
Change-Id: I8647ab67b73bafd0c44e6c586a1b5f2602bf03f5
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* Update all dependancies to 21.08
* Refactoring to fit the new changes
Change-Id: Icc2ae3628ee6e8fbc0af2cd8f91e368c9ccae053
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With this patch, the generic inference runner use-case can be
configured to accept the model tflite file at run-time via
the FVP's command line parameters. Same is true for the IFM
and the inference results can be dumped out too.
NOTE: this change is only for supporting the FVP, the FPGA
implementation will not allow additional loading for the
changes in this patch to be useful.
Change-Id: I1318bd5b0cfb7bb635ced6fe58d22c3e401d2547
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Change-Id: I744a4eb2553207004c9403b956e5bd9e9b352bfb
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
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* Now uses seperate TFLu github repo
* Fixes to align with API changes
* Update ASR model ops and re-enable ASR inference tests
* Set default release level to release_with_logs
Signed-off-by: Richard Burton <richard.burton@arm.com>
Change-Id: I57612088985dece1413c5c00a6e442381e07dd91
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Change-Id: I64ab930a1de5210f435f91bed7600a700581946f
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Reviewed-on: https://eu-gerrit-2.euhpc.arm.com/c/ml/ecosystem/ml-embedded-evaluation-kit/+/459126
Tested-by: mlecosys <mlecosys@arm.com>
Tested-by: George Gekov <george.gekov@arm.com>
Reviewed-by: George Gekov <george.gekov@arm.com>
Reviewed-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
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Breaking down the elf(axf) file into bin blobs for the
simple_platform target too.
Change-Id: Ie909508433ef03f8b4a32e04bc69353aed0d0849
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Signed-off-by: George Gekov <george.gekov@arm.com>
Change-Id: I92b9ab60974ad266246994deae5833f7f374633d
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ASRSlidingWindow can be used in other use-cases,
thus it was renamed to decouple from ASR.
Signed-off-by: alexander <alexander.efremov@arm.com>
Change-Id: I2df977e4f18f490a532e0f27e3625b153ca464d7
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Changes:
* minor speed up for tflite to C++ file generation
* virtual env's pip upgrade before installation of packages
Change-Id: If8cef85779b7381f444f608b565da0b8f994d364
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Core driver and sofware dependencies updated to latest release
candidate revisions. Note: TensorFlow Lite Micro has not been
updated.
Also, gcc warnings for simple_platform target and ad use case have
been fixed.
Change-Id: I455b421f34375a719a941e6e220fe292a57613f5
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Signed-off-by: alexander <alexander.efremov@arm.com>
Change-Id: Ic3e940a9d289d649976c4e951ced1473fc31ff3f
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This patch enables compilation of ML use cases bare-metal applications
using Arm GNU Embedded Toolchain. The GNU toolchain can be used instead
of the Arm Compiler that was already supported.
The GNU toolchain is also set as the default toolchain when building
applications for the MPS3 target.
Note: The version of GNU toolchain must be 10.2.1 or higher.
Change-Id: I5fff242f0f52d2db6c75d292f9fa990df1aec978
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
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MLECO-1882: Anomaly Detection use-case default model download added
and tests updated to run with it.
Test data generation cmake logic moved from use-case cmakes to top-level cmake script.
Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Change-Id: Ifde469e3585c37b9a53810236a92ce52d4fbb407
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Signed-off-by: alexander <alexander.efremov@arm.com>
Change-Id: Ie462e786af1d429bcb815f2c10656ed82862715a
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Signed-off-by: Isabella Gottardi <isabella.gottardi@arm.com>
Change-Id: Ic7bcb0cbf334049ff89e9973e58fd0b3bf463892
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Change-Id: I12e807f19f5cacad7cef82572b6dd48252fd61fd
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