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| author | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-20 14:30:02 +0100 |
|---|---|---|
| committer | Kshitij Sisodia <kshitij.sisodia@arm.com> | 2022-05-23 16:11:45 +0100 |
| commit | 9c6f9f8afcb003fd72944918d6b6e200d68c0918 (patch) | |
| tree | b1237909970ac74232f4ed81a26edc0847204269 /scripts/cmake/tensorflow.cmake | |
| parent | 6f6df0934f991b64fef494b86643b3f5074fca0e (diff) | |
| download | ml-embedded-evaluation-kit-9c6f9f8afcb003fd72944918d6b6e200d68c0918.tar.gz | |
MLECO-3225: Using official support for Arm Cortex-M85 CPU.
* CMake version requirement bumped up to 3.21.0
* CMake 3.22.4 installed in the local Python virtualenv
* CPU flags updated in toolchain files.
* Using __ARM_FEATURE_DSP instead of potentially defining
ARM_MATH_DSP wrongly.
* CMake project version bumped up to 22.05.0
Changes also made for MLECO-3107 (pack generation):
* TensorFlow Lite Micro CMSIS-pack version updated to
1.22.02.
* Change to using __ARM_FEATURE_DSP will also help the
generated pack.
Partial changes for MLECO-3095:
* CMSIS updated to version post 5.9.0
* TensorFlow Lite Micro updated to latest available
* Ethos-U driver and core-platform repositories updated
to 20.05_rc2 tags.
Change-Id: I012c9e65897aed8ce589cff9bfe3a19efc3edeb9
Signed-off-by: Kshitij Sisodia <kshitij.sisodia@arm.com>
Diffstat (limited to 'scripts/cmake/tensorflow.cmake')
| -rw-r--r-- | scripts/cmake/tensorflow.cmake | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/scripts/cmake/tensorflow.cmake b/scripts/cmake/tensorflow.cmake index 8a790bc..ac11542 100644 --- a/scripts/cmake/tensorflow.cmake +++ b/scripts/cmake/tensorflow.cmake @@ -51,7 +51,7 @@ if (TARGET_PLATFORM STREQUAL native) else() set(TENSORFLOW_LITE_MICRO_TARGET "cortex_m_generic") - if ("${CMAKE_SYSTEM_ARCH}" STREQUAL "armv8.1-m.main") + if ("${CMAKE_SYSTEM_ARCH}" STREQUAL "armv8.1-m.main" OR "${CMAKE_SYSTEM_PROCESSOR}" STREQUAL "cortex-m85") # TensorFlow's generic makefile doesn't currently have a flow for Cortex-M85. # We build for Arm Cortex-M55 instead. # @TODO: check with latest TensorFlow package. |