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FP6 quantization end-to-end. #5234

Merged
merged 33 commits into from
Mar 8, 2024
Merged

FP6 quantization end-to-end. #5234

merged 33 commits into from
Mar 8, 2024

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loadams
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@loadams loadams commented Mar 6, 2024

The user interface: microsoft/DeepSpeed-MII#433
nv-a6000 ci running against the MII branch linked above is here

Co-authored-by: Zhen Zheng [email protected]
Co-authored-by: Shiyang Chen [email protected]
Co-authored-by: Arash Bakhtiari [email protected]
Co-authored-by: Haojun Xia [email protected]

JamesTheZ and others added 30 commits March 5, 2024 00:56
* Initialize the fp6-quant-kernel integration.
* Add necessary parameters of kernel interfaces and the linear layer selection logic.
* upload kernel code
* The simple script for debugging.
* fix typo
* update
* fix split k
* Fix some errors and add test case.
* Workspace for Inference Kernels (#1)
* Add transform_param functions and update format.
* kernel debug
* fix include
* Update core_ops.cpp
* Add split k support
* fix
* Fix kernel error
* update
* update
* Fix rebase errors.
* Add missed include.
* Fix the bug that the attribute uses the weight information for mem alloc.
* Avoid GPU preallocation during weight loading.
* Add support of larger shapes for gated activation kernel.
* update
* model update
* fix all weight preprocessing
* Add split-k heuristic.
* Avoid reading scale attribute on non-quantized tensors.
* Change the scales from attributes to new tensors. Provide the end-to-end script given HuggingFace model id.
* Hard-coded commented out the scales in the kernel to workaround the bug.
* Support the user config for quantization. Fix kernel bug.
* Per operator test functions.
* Multiply scales by 1e12 according to the kernel design.
* Revert "Workspace for Inference Kernels (#1)". This reverts commit 1528732.
* Remove the format-only changes.
* Put the quantization into the transform_param function.

---------

Co-authored-by: Shiyang Chen <[email protected]>
Co-authored-by: Haojun Xia <[email protected]>
@loadams
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loadams commented Mar 7, 2024

A6000 CI that points to the required branch for MII is here

@loadams loadams disabled auto-merge March 8, 2024 00:44
@loadams loadams merged commit ccfdb84 into master Mar 8, 2024
16 of 17 checks passed
ShellyNR pushed a commit to ShellyNR/DeepSpeed that referenced this pull request Mar 11, 2024
The user interface: microsoft/DeepSpeed-MII#433
nv-a6000 ci running against the MII branch linked above is
[here](https://github.com/microsoft/DeepSpeed/actions/runs/8192124606)

Co-authored-by: Zhen Zheng
[[email protected]](mailto:[email protected])
Co-authored-by: Shiyang Chen [[email protected]](mailto:[email protected])
Co-authored-by: Arash Bakhtiari
[[email protected]](mailto:[email protected])
Co-authored-by: Haojun Xia
[[email protected]](mailto:[email protected])

---------

Co-authored-by: ZHENG, Zhen <[email protected]>
Co-authored-by: Shiyang Chen <[email protected]>
Co-authored-by: Haojun Xia <[email protected]>
Co-authored-by: Arash Bakhtiari <[email protected]>
Co-authored-by: Michael Wyatt <[email protected]>
Co-authored-by: Michael Wyatt <[email protected]>
loadams added a commit that referenced this pull request Apr 4, 2024
rraminen pushed a commit to ROCm/DeepSpeed that referenced this pull request May 9, 2024
The user interface: microsoft/DeepSpeed-MII#433
nv-a6000 ci running against the MII branch linked above is
[here](https://github.com/microsoft/DeepSpeed/actions/runs/8192124606)

Co-authored-by: Zhen Zheng
[[email protected]](mailto:[email protected])
Co-authored-by: Shiyang Chen [[email protected]](mailto:[email protected])
Co-authored-by: Arash Bakhtiari
[[email protected]](mailto:[email protected])
Co-authored-by: Haojun Xia
[[email protected]](mailto:[email protected])

---------

Co-authored-by: ZHENG, Zhen <[email protected]>
Co-authored-by: Shiyang Chen <[email protected]>
Co-authored-by: Haojun Xia <[email protected]>
Co-authored-by: Arash Bakhtiari <[email protected]>
Co-authored-by: Michael Wyatt <[email protected]>
Co-authored-by: Michael Wyatt <[email protected]>
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5 participants