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Add a16w8 per-op test for conv1d (#19597)#19597

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Add a16w8 per-op test for conv1d (#19597)#19597
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christine-long-meta:export-D104532360

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@christine-long-meta christine-long-meta commented May 14, 2026 •
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Summary:

Add int16 activation / int8 weight (a16w8) quantization tests for aten.conv1d on Ethos-U55 and Ethos-U85.

Changes

  • Add test_conv1d_a16w8_u55_INT using EthosU55PipelineINT with a16w8_quantization=True, symmetric_io_quantization=True, reusing existing test_data_INT parameters
  • Add test_conv1d_a16w8_u85_INT using EthosU85PipelineINT with same kwargs
  • Register ops/test_conv1d.py in fbcode/ and xplat/ targets.bzl

Reviewed By: Ninja91

Differential Revision: D104532360

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pytorch-bot Bot commented May 14, 2026 •
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🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/19597

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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 May 14, 2026
@github-actions github-actions Bot added ciflow/trunk module: arm Issues related to arm backend labels May 14, 2026
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pytorch-bot Bot commented May 14, 2026 •
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Workflows were awaiting approval. CI has now been triggered for the ciflow labels on this PR.

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github-actions Bot commented May 14, 2026

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@meta-codesync meta-codesync Bot changed the title Add a16w8 per-op test for conv1d Add a16w8 per-op test for conv1d (#19597) May 14, 2026
@christine-long-meta christine-long-meta force-pushed the export-D104532360 branch 2 times, most recently from cf08707 to 2f54bac Compare May 14, 2026 16:48
christine-long-meta added a commit to christine-long-meta/executorch that referenced this pull request May 14, 2026
@christine-long-meta @facebook-github-bot
Add a16w8 per-op test for conv1d (pytorch#19597)
d52c255 
Summary:

Add int16 activation / int8 weight (a16w8) quantization tests for `aten.conv1d` on Ethos-U55 and Ethos-U85.

## Changes
- Add `a16w8_conv1d_test_parameters` dict with 14 test configurations (7 conv configs × {per_channel_quant=True, False}) covering kernel sizes 1/3/5, stride 1/2, dilation, depthwise, and no-bias variants
- Add `test_conv1d_a16w8_u55_INT` using `EthosU55PipelineINT` with `a16w8_quantization=True, symmetric_io_quantization=True, per_channel_quantization=<varied>, qtol=128, epsilon=2**-16`
- Add `test_conv1d_a16w8_u85_INT` using `EthosU85PipelineINT` with same kwargs
- Register `ops/test_conv1d.py` in `fbcode/` and `xplat/` `targets.bzl`

bypass-pytorch-oss-checks

Differential Revision: D104532360
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meta-codesync Bot commented May 14, 2026

@christine-long-meta has exported this pull request. If you are a Meta employee, you can view the originating Diff in D104532360.

@christine-long-meta christine-long-meta force-pushed the export-D104532360 branch 3 times, most recently from f5f9e2d to 66dc761 Compare May 14, 2026 16:53
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meta-codesync Bot commented May 14, 2026

@christine-long-meta has exported this pull request. If you are a Meta employee, you can view the originating Diff in D104532360.

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meta-codesync Bot commented May 14, 2026

@christine-long-meta has exported this pull request. If you are a Meta employee, you can view the originating Diff in D104532360.

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meta-codesync Bot commented May 14, 2026

@christine-long-meta has exported this pull request. If you are a Meta employee, you can view the originating Diff in D104532360.

@meta-codesync meta-codesync Bot changed the title Add a16w8 per-op test for conv1d (#19597) Add a16w8 per-op test for conv1d May 14, 2026
@christine-long-meta christine-long-meta force-pushed the export-D104532360 branch 3 times, most recently from 1719ccc to c6484aa Compare May 16, 2026 02:07
@meta-codesync meta-codesync Bot changed the title Add a16w8 per-op test for conv1d Add a16w8 per-op test for conv1d (#19597) May 16, 2026
@christine-long-meta @facebook-github-bot
Add a16w8 per-op test for var (pytorch#19596)
3879789 
Summary:

Add int16 activation / int8 weight (a16w8) quantization tests for `aten.var` on Ethos-U55 and Ethos-U85.

## Changes
- Add `test_parameters_ethosu` class attribute to `Var` with 2 test configurations (4D tensors with correction=0 and correction=1)
- Switch existing `test_var_dim_u55_INT_no_dim` and `test_var_dim_u85_INT_no_dim` from `Var.test_parameters` to `Var.test_parameters_ethosu` for Ethos-U compatible tensor shapes
- Add `test_var_a16w8_u55_INT` using `EthosU55PipelineINT` with `a16w8_quantization=True, symmetric_io_quantization=True`
- Add `test_var_a16w8_u85_INT` using `EthosU85PipelineINT` with same kwargs
- Register `ops/test_var.py` in `fbcode/` and `xplat/` `targets.bzl`

Differential Revision: D104532362
@christine-long-meta @facebook-github-bot
Add a16w8 per-op test for conv1d (pytorch#19597)
09b0ebf 
Summary:

Add int16 activation / int8 weight (a16w8) quantization tests for `aten.conv1d` on Ethos-U55 and Ethos-U85.

## Changes
- Add `test_conv1d_a16w8_u55_INT` using `EthosU55PipelineINT` with `a16w8_quantization=True, symmetric_io_quantization=True`, reusing existing `test_data_INT` parameters
- Add `test_conv1d_a16w8_u85_INT` using `EthosU85PipelineINT` with same kwargs
- Register `ops/test_conv1d.py` in `fbcode/` and `xplat/` `targets.bzl`

Reviewed By: Ninja91

Differential Revision: D104532360
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