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Summary

  • Supports transpose_conv with per_channel_quant. Previously, transpose_conv per_channel_quant is not done correctly, as the channel should be ch_axis=1 instead of ch_axis=0.
  • Some test suite operators are using random values instead of desired input. These operations require specific range to prevent NaN as output.

Test plan

UT added

cc @cccclai @shewu-quic @haowhsu-quic @DannyYuyang-quic @cbilgin

### Summary

- Supports transpose_conv with per_channel_quant. Previously,
transpose_conv per_channel_quant is not done correctly, as the channel
should be ch_axis=1 instead of ch_axis=0.
- Some test suite operators are using random values instead of desired
input. These operations require specific range to prevent `NaN` as
output.

### Test plan
UT added

cc @cccclai @shewu-quic @haowhsu-quic @DannyYuyang-quic @cbilgin

(cherry picked from commit 810b8e8)
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pytorch-bot bot commented Oct 16, 2025

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/15194

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@meta-cla meta-cla bot added the CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. label Oct 16, 2025
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2 participants