stoa commented on a change in pull request #9385:
URL: https://github.com/apache/tvm/pull/9385#discussion_r739081718
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File path: python/tvm/target/target.py
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@@ -642,6 +642,27 @@ def create_tvm_options(cpu_ver, config): # pylint:
disable=unused-argument
return Target(" ".join(["hexagon"] + args_list))
+STM32_SUPPORTED_MODELS = {
+ #"stm32H7xx": ["-device=arm_cpu", "-mcpu=cortex-m7", "-march=armv7e-m"],
+ "stm32H7xx": ["-device=arm_cpu", "-mcpu=cortex-m7"],
Review comment:
@areusch
Upon a second thought ...
We first aligned with the CubeAI libraries that have a library per series.
However, even within a given series there may be differences depending on the
target board. So, it makes a better sense to distinguish targets per board ID.
Additionally, the CubeMX also takes the board ID as a starting point. Finally,
it will be easier for the user.
Alternatively, if a user needs to use a model compiled for the same series
but a different board, if they know what they are doing (memory sizes for
example) - it will work as well.
So, let's move to the board ID. And then this table will get large (dozens
of entries or more). Perhaps we should imagine a separate file to keep it in ?
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