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feat: Implement FP8 functionality #2763

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feat: Implement FP8 functionality #2763

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peri044
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@peri044 peri044 commented Apr 18, 2024

Description

This PR adds FP8 & BF16 datatype support. It also implements converter for FP8 quantized ops.

Type of change

Please delete options that are not relevant and/or add your own.

  • Bug fix (non-breaking change which fixes an issue)
  • New feature (non-breaking change which adds functionality)
  • Breaking change (fix or feature that would cause existing functionality to not work as expected)
  • This change requires a documentation update

Checklist:

  • My code follows the style guidelines of this project (You can use the linters)
  • I have performed a self-review of my own code
  • I have commented my code, particularly in hard-to-understand areas and hacks
  • I have made corresponding changes to the documentation
  • I have added tests to verify my fix or my feature
  • New and existing unit tests pass locally with my changes
  • I have added the relevant labels to my PR in so that relevant reviewers are notified

chore: updates to trt api

chore: trt 10 fixes

chore: more fixes
author Dheeraj Peri <peri.dheeraj@gmail.com> 1711393059 -0700
committer Dheeraj Peri <peri.dheeraj@gmail.com> 1711393072 -0700

chore: minor updates

chore: Fix save failures

chore: minor fixes

chore: remove duplicate bert test case

chore: remove comments

chore: add load api

chore: minor updates

chore: minor updates

chore: minor updates

chore: more updates
@zewenli98
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@peri044 I remember we've already removed cudnn dependency on the release/2.3, but it still stays here:

__cudnn_version__,

This causes an error when I import torch-trt:

>>> import torch_tensorrt
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/scratch.zewenl_sw/docker_workspace/TRT10/TensorRT/py/torch_tensorrt/__init__.py", line 7, in <module>
    from torch_tensorrt._version import (  # noqa: F401
ImportError: cannot import name '__cudnn_version__' from 'torch_tensorrt._version' (/home/scratch.zewenl_sw/docker_workspace/TRT10/TensorRT/py/torch_tensorrt/_version.py)

Can you take a look?

@peri044
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peri044 commented May 17, 2024

@peri044 I remember we've already removed cudnn dependency on the release/2.3, but it still stays here:

__cudnn_version__,

This causes an error when I import torch-trt:

>>> import torch_tensorrt
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
  File "/home/scratch.zewenl_sw/docker_workspace/TRT10/TensorRT/py/torch_tensorrt/__init__.py", line 7, in <module>
    from torch_tensorrt._version import (  # noqa: F401
ImportError: cannot import name '__cudnn_version__' from 'torch_tensorrt._version' (/home/scratch.zewenl_sw/docker_workspace/TRT10/TensorRT/py/torch_tensorrt/_version.py)

Can you take a look?

fixed it now

@zewenli98
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Cool thanks! And did you implement the unit test for torch.ops.trt.quantize_fp8.default?

@github-actions github-actions bot added the documentation Improvements or additions to documentation label May 21, 2024
@zewenli98
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@peri044 Thanks for the comments. I have refactored based on your suggestions.

examples/dynamo/vgg16_fp8_ptq.py Outdated Show resolved Hide resolved
examples/dynamo/vgg16_fp8_ptq.py Outdated Show resolved Hide resolved
examples/dynamo/vgg16_fp8_ptq.py Outdated Show resolved Hide resolved
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Overall looks good! Added a few comments

py/torch_tensorrt/_enums.py Show resolved Hide resolved
py/torch_tensorrt/dynamo/_defaults.py Outdated Show resolved Hide resolved
py/torch_tensorrt/dynamo/conversion/aten_ops_converters.py Outdated Show resolved Hide resolved
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cla signed component: api [Python] Issues re: Python API component: conversion Issues re: Conversion stage component: converters Issues re: Specific op converters component: dynamo Issues relating to the `torch.compile` or `torch._dynamo.export` paths component: lowering Issues re: The lowering / preprocessing passes component: tests Issues re: Tests component: torch_compile documentation Improvements or additions to documentation
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5 participants