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Merged
merged 1 commit into from
Dec 12, 2024

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@SS-JIA SS-JIA commented Dec 10, 2024

Summary:

Context

Currently, exporting llama models to Vulkan using 4 bit weight quantization is broken because the behaviour of the groupwise_affine_quantize_tensor utility function from torchao was recently changed so that the packing of two 4-bit integers into a single 8 bit value does not occur.

To fix, just have the VkInt4WeightOnlyQuantizer perform that step itself.

Differential Revision: D67051119

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pytorch-bot bot commented Dec 10, 2024

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🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/7274

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@facebook-github-bot facebook-github-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 Dec 10, 2024
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This pull request was exported from Phabricator. Differential Revision: D67051119

SS-JIA added a commit to SS-JIA/executorch-1 that referenced this pull request Dec 11, 2024
Summary:

## Context

Currently, exporting llama models to Vulkan using 4 bit weight quantization is broken because the behaviour of the `groupwise_affine_quantize_tensor` utility function from `torchao` was recently changed so that the packing of two 4-bit integers into a single 8 bit value does not occur.

To fix, just have the `VkInt4WeightOnlyQuantizer` perform that step itself.

Reviewed By: jorgep31415

Differential Revision: D67051119
SS-JIA added a commit to SS-JIA/executorch-1 that referenced this pull request Dec 11, 2024
Summary:

## Context

Currently, exporting llama models to Vulkan using 4 bit weight quantization is broken because the behaviour of the `groupwise_affine_quantize_tensor` utility function from `torchao` was recently changed so that the packing of two 4-bit integers into a single 8 bit value does not occur.

To fix, just have the `VkInt4WeightOnlyQuantizer` perform that step itself.

Reviewed By: jorgep31415

Differential Revision: D67051119
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This pull request was exported from Phabricator. Differential Revision: D67051119

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This pull request was exported from Phabricator. Differential Revision: D67051119

SS-JIA added a commit to SS-JIA/executorch-1 that referenced this pull request Dec 12, 2024
Summary:

## Context

Currently, exporting llama models to Vulkan using 4 bit weight quantization is broken because the behaviour of the `groupwise_affine_quantize_tensor` utility function from `torchao` was recently changed so that the packing of two 4-bit integers into a single 8 bit value does not occur.

To fix, just have the `VkInt4WeightOnlyQuantizer` perform that step itself.

Reviewed By: jorgep31415

Differential Revision: D67051119
@facebook-github-bot
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This pull request was exported from Phabricator. Differential Revision: D67051119

Summary:

## Context

Currently, exporting llama models to Vulkan using 4 bit weight quantization is broken because the behaviour of the `groupwise_affine_quantize_tensor` utility function from `torchao` was recently changed so that the packing of two 4-bit integers into a single 8 bit value does not occur.

To fix, just have the `VkInt4WeightOnlyQuantizer` perform that step itself.

Reviewed By: jorgep31415

Differential Revision: D67051119
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This pull request was exported from Phabricator. Differential Revision: D67051119

@facebook-github-bot facebook-github-bot merged commit 1e2efa3 into pytorch:main Dec 12, 2024
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3 participants