executorch
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Add support for MobileNet v2 in Ethos-U55 and arm baremetal runner
- Builds on TOSA support for mv2
- Currently has accuracy issues for on-target execution.
- Adding support mv2 from examples/models (torchvision mv2)
- Adds ability to use portable Q/DQ ops to enable float signature quantized models (to be improved with int signature when possible to enable integer images rather than int -> float -> quant flow.
- Adds permute for ethos-u backend to enable NCHW to NHWC (which we'll aim to replace with a compiler pass on entry/exit of the subgraph, or the NHWC support when available.
- small fix to enable qantized ops in runtime for the IOQDQ pass, and build/register those kernels/ops in bare metal build
:link: Helpful Links
:test_tube: See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/3056
- :page_facing_up: Preview Python docs built from this PR
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:white_check_mark: No Failures
As of commit 6f4ce1909c46bac2c9138a23d82e07ac66e3ca81 with merge base cc12d9b5aa346b0caeb29ab492b14639754ba4cf ():
:green_heart: Looks good so far! There are no failures yet. :green_heart:
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@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.
Sigh.. can you rebase please?
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.
@digantdesai has imported this pull request. If you are a Meta employee, you can view this diff on Phabricator.
@digantdesai or @mergennachin could we import this now, thanks to the fix in #3449 this now passes when rebased.
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@digantdesai merged this pull request in pytorch/executorch@623f0e03ee8f251742c9a4bf8b350f321bc8c257.