Add exportable coreml codebook quantization op#2443
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/ao/2443
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metascroy
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Jun 26, 2025
metascroy
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Jun 26, 2025
metascroy
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Jun 26, 2025
metascroy
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Jun 26, 2025
metascroy
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Jun 26, 2025
metascroy
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metascroy
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Jun 26, 2025
| codes = codes.to(torch.int32) | ||
| return dequantize_codebook( | ||
| codes, | ||
| self.codebook, |
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Should we have a granularity?
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we'll use block_size for now, it can be extended to other granularities
Summary: Added CoreML codebook quant (Palettization): https://apple.github.io/coremltools/docs-guides/source/opt-palettization-overview.html#palettization-overview * supports group_size `per_grouped_channel` * doesn't support vector quantization yet, but will be easy to turn on if needed * ops added: choose_qparams_and_quantize_codebook, dequantize_codebook * also enabled support for export, these two ops will be preserved after exporta * Added CodebookWeightOnlyConfig(dtype, group_size) that can be used with quantize_ to quantize the Tensor Test Plan: python test/prototype/test_coreml_codebook.py Reviewers: Subscribers: Tasks: Tags:
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Summary: Added CoreML codebook quant (Palettization): https://apple.github.io/coremltools/docs-guides/source/opt-palettization-overview.html#palettization-overview * supports group_size `per_grouped_channel` * doesn't support vector quantization yet, but will be easy to turn on if needed * ops added: choose_qparams_and_quantize_codebook, dequantize_codebook * also enabled support for export, these two ops will be preserved after exporta * Added CodebookWeightOnlyConfig(dtype, group_size) that can be used with quantize_ to quantize the Tensor Test Plan: python test/prototype/test_coreml_codebook.py Reviewers: Subscribers: Tasks: Tags:
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Summary:
Added CoreML codebook quant (Palettization): https://apple.github.io/coremltools/docs-guides/source/opt-palettization-overview.html#palettization-overview
per_grouped_channelTest Plan:
python test/prototype/test_coreml_codebook.py
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Subscribers:
Tasks:
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