Skip to content

Conversation

@SS-JIA
Copy link
Contributor

@SS-JIA SS-JIA commented Feb 11, 2026

Stack from ghstack (oldest at bottom):

This adds a GLSL compute shader and supporting C++ dispatch logic to transfer
int8 tensor data from a staging buffer (in NCHW contiguous order) to a GPU
buffer in any PackedInt8 layout (4W, 4C, 4W4C, 4H4W, 4C1W).

Previously there was no prepack path for kInt8x4 tensors, so constant int8
tensors (TensorRef inputs) could not be transferred to GPU buffers. This is
needed to support constant quantized weights in q8ta operators.

The shader uses texel-level dispatch where each thread writes one texel (one
int32 = 4 packed int8 values). It decomposes the texel index into block-space
coordinates using BufferMetadata strides and hashed_layout dim_order, then reads
the corresponding int8 bytes from the staging buffer (interpreted as int32 for
device compatibility, avoiding the need for 8-bit buffer support).

New files:

  • nchw_to_int8x4_buffer.glsl: Compute shader handling all PackedInt8 layouts
  • nchw_to_int8x4_buffer.yaml: Shader variant config
  • Q8taStaging.h/cpp: C++ dispatch function creating the PrepackNode

Modified files:

  • Staging.cpp: Routes kInt8x4 tensors in prepack_op() to the new function
  • TestQ8taBinary.cpp: Prepacks TensorRef inputs before quantization
  • test_q8ta_binary.cpp: Adds const_b test cases for constant tensor B inputs

This diff was authored with Claude.

Differential Revision: D93000169

…data

This adds a GLSL compute shader and supporting C++ dispatch logic to transfer
int8 tensor data from a staging buffer (in NCHW contiguous order) to a GPU
buffer in any PackedInt8 layout (4W, 4C, 4W4C, 4H4W, 4C1W).

Previously there was no prepack path for kInt8x4 tensors, so constant int8
tensors (TensorRef inputs) could not be transferred to GPU buffers. This is
needed to support constant quantized weights in q8ta operators.

The shader uses texel-level dispatch where each thread writes one texel (one
int32 = 4 packed int8 values). It decomposes the texel index into block-space
coordinates using BufferMetadata strides and hashed_layout dim_order, then reads
the corresponding int8 bytes from the staging buffer (interpreted as int32 for
device compatibility, avoiding the need for 8-bit buffer support).

New files:
- nchw_to_int8x4_buffer.glsl: Compute shader handling all PackedInt8 layouts
- nchw_to_int8x4_buffer.yaml: Shader variant config
- Q8taStaging.h/cpp: C++ dispatch function creating the PrepackNode

Modified files:
- Staging.cpp: Routes kInt8x4 tensors in prepack_op() to the new function
- TestQ8taBinary.cpp: Prepacks TensorRef inputs before quantization
- test_q8ta_binary.cpp: Adds const_b test cases for constant tensor B inputs

This diff was authored with Claude.

Differential Revision: [D93000169](https://our.internmc.facebook.com/intern/diff/D93000169/)

[ghstack-poisoned]
@pytorch-bot
Copy link

pytorch-bot bot commented Feb 11, 2026

🔗 Helpful Links

🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/17392

Note: Links to docs will display an error until the docs builds have been completed.

❌ 3 New Failures, 1 Unrelated Failure

As of commit b58d3cb with merge base 964c565 (image):

NEW FAILURES - The following jobs have failed:

BROKEN TRUNK - The following job failed but were present on the merge base:

👉 Rebase onto the `viable/strict` branch to avoid these failures

This comment was automatically generated by Dr. CI and updates every 15 minutes.

@github-actions
Copy link

This PR needs a release notes: label

If your change should be included in the release notes (i.e. would users of this library care about this change?), please use a label starting with release notes:. This helps us keep track and include your important work in the next release notes.

To add a label, you can comment to pytorchbot, for example
@pytorchbot label "release notes: none"

For more information, see
https://github.com/pytorch/pytorch/wiki/PyTorch-AutoLabel-Bot#why-categorize-for-release-notes-and-how-does-it-work.

@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 Feb 11, 2026
…t8 staging data"

This adds a GLSL compute shader and supporting C++ dispatch logic to transfer
int8 tensor data from a staging buffer (in NCHW contiguous order) to a GPU
buffer in any PackedInt8 layout (4W, 4C, 4W4C, 4H4W, 4C1W).

Previously there was no prepack path for kInt8x4 tensors, so constant int8
tensors (TensorRef inputs) could not be transferred to GPU buffers. This is
needed to support constant quantized weights in q8ta operators.

The shader uses texel-level dispatch where each thread writes one texel (one
int32 = 4 packed int8 values). It decomposes the texel index into block-space
coordinates using BufferMetadata strides and hashed_layout dim_order, then reads
the corresponding int8 bytes from the staging buffer (interpreted as int32 for
device compatibility, avoiding the need for 8-bit buffer support).

New files:
- nchw_to_int8x4_buffer.glsl: Compute shader handling all PackedInt8 layouts
- nchw_to_int8x4_buffer.yaml: Shader variant config
- Q8taStaging.h/cpp: C++ dispatch function creating the PrepackNode

Modified files:
- Staging.cpp: Routes kInt8x4 tensors in prepack_op() to the new function
- TestQ8taBinary.cpp: Prepacks TensorRef inputs before quantization
- test_q8ta_binary.cpp: Adds const_b test cases for constant tensor B inputs

This diff was authored with Claude.

Differential Revision: [D93000169](https://our.internmc.facebook.com/intern/diff/D93000169/)

[ghstack-poisoned]
…t8 staging data"

This adds a GLSL compute shader and supporting C++ dispatch logic to transfer
int8 tensor data from a staging buffer (in NCHW contiguous order) to a GPU
buffer in any PackedInt8 layout (4W, 4C, 4W4C, 4H4W, 4C1W).

Previously there was no prepack path for kInt8x4 tensors, so constant int8
tensors (TensorRef inputs) could not be transferred to GPU buffers. This is
needed to support constant quantized weights in q8ta operators.

The shader uses texel-level dispatch where each thread writes one texel (one
int32 = 4 packed int8 values). It decomposes the texel index into block-space
coordinates using BufferMetadata strides and hashed_layout dim_order, then reads
the corresponding int8 bytes from the staging buffer (interpreted as int32 for
device compatibility, avoiding the need for 8-bit buffer support).

New files:
- nchw_to_int8x4_buffer.glsl: Compute shader handling all PackedInt8 layouts
- nchw_to_int8x4_buffer.yaml: Shader variant config
- Q8taStaging.h/cpp: C++ dispatch function creating the PrepackNode

Modified files:
- Staging.cpp: Routes kInt8x4 tensors in prepack_op() to the new function
- TestQ8taBinary.cpp: Prepacks TensorRef inputs before quantization
- test_q8ta_binary.cpp: Adds const_b test cases for constant tensor B inputs

This diff was authored with Claude.

Differential Revision: [D93000169](https://our.internmc.facebook.com/intern/diff/D93000169/)

[ghstack-poisoned]
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment

Labels

CLA Signed This label is managed by the Facebook bot. Authors need to sign the CLA before a PR can be reviewed. fb-exported meta-exported

Projects

None yet

Development

Successfully merging this pull request may close these issues.

1 participant