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Do MMrazor's existing pruning and NAS algorithms support compression of models with Transformer structures? #201

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lb-hit opened this issue Jul 19, 2022 · 2 comments

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@lb-hit
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lb-hit commented Jul 19, 2022

Checklist

  • I have searched related issues but cannot get the expected help.
  • I have read related documents and don't know what to do.

Describe the question you meet

[here]

Post related information

  1. The output of pip list | grep "mmcv\|mmrazor\|^torch"
    [here]
  2. Your config file if you modified it or created a new one.
[here]
  1. Your train log file if you meet the problem during training.
    [here]
  2. Other code you modified in the mmrazor folder.
    [here]
@wutongshenqiu
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Hi, sibet-lb. Thanks for your attention. Currently there is no pruning or nas algorithms for transformer in MMRazor.

We are working on Autoformer, and it might probably be integrated in MMRazor in a few months.

@lb-hit
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lb-hit commented Jul 20, 2022

@wutongshenqiu
hi, is there a distillation algorithm suitable for transformer, is MMrazaor's quantization algorithm coming out soon, is there a quantization algorithm suitable for transformer?
I want to compress DETR, any recommendation?

humu789 pushed a commit to humu789/mmrazor that referenced this issue Feb 13, 2023
* [WIP] Refactor v2.0 (open-mmlab#163)

* Refactor backend wrapper

* Refactor mmdet.inference

* Fix

* merge

* refactor utils

* Use deployer and deploy_model to manage pipeline

* Resolve comments

* Add a real inference api function

* rename wrappers

* Set execute to private method

* Rename deployer deploy_model

* Refactor task

* remove type hint

* lint

* Resolve comments

* resolve comments

* lint

* docstring

* [Fix]: Fix bugs in details in refactor branch (open-mmlab#192)

* [WIP] Refactor v2.0 (open-mmlab#163)

* Refactor backend wrapper

* Refactor mmdet.inference

* Fix

* merge

* refactor utils

* Use deployer and deploy_model to manage pipeline

* Resolve comments

* Add a real inference api function

* rename wrappers

* Set execute to private method

* Rename deployer deploy_model

* Refactor task

* remove type hint

* lint

* Resolve comments

* resolve comments

* lint

* docstring

* Fix errors

* lint

* resolve comments

* fix bugs

* conflict

* lint and typo

* Resolve comment

* refactor mmseg (open-mmlab#201)

* support mmseg

* fix docstring

* fix docstring

* [Refactor]: Get the count of backend files (open-mmlab#202)

* Fix backend files

* resolve comments

* lint

* Fix ncnn

* [Refactor]: Refactor folders of mmdet (open-mmlab#200)

* Move folders

* lint

* test object detection model

* lint

* reset changes

* fix openvino

* resolve comments

* __init__.py

* Fix path

* [Refactor]: move mmseg (open-mmlab#206)

* [Refactor]: Refactor mmedit (open-mmlab#205)

* feature mmedit

* edit2.0

* edit

* refactor mmedit

* fix __init__.py

* fix __init__

* fix formai

* fix comment

* fix comment

* Fix wrong func_name of ConvFCBBoxHead (open-mmlab#209)

* [Refactor]: Refactor mmdet unit test (open-mmlab#207)

* Move folders

* lint

* test object detection model

* lint

* WIP

* remove print

* finish unit test

* Fix tests

* resolve comments

* Add mask test

* lint

* resolve comments

* Refine cfg file

* Move files

* add files

* Fix path

* [Unittest]: Refine the unit tests in mmdet open-mmlab#214

* [Refactor] refactor mmocr to mmdeploy/codebase (open-mmlab#213)

* refactor mmocr to mmdeploy/codebase

* fix docstring of show_result

* fix docstring of visualize

* refine docstring

* replace print with logging

* refince codes

* resolve comments

* resolve comments

* [Refactor]: mmseg  tests (open-mmlab#210)

* refactor mmseg tests

* rename test_codebase

* update

* add model.py

* fix

* [Refactor] Refactor mmcls and the package (open-mmlab#217)

* refactor mmcls

* fix yapf

* fix isort

* refactor-mmcls-package

* fix print to logging

* fix docstrings according to others comments

* fix comments

* fix comments

* fix allentdans comment in pr215

* remove mmocr init

* [Refactor] Refactor mmedit tests (open-mmlab#212)

* feature mmedit

* edit2.0

* edit

* refactor mmedit

* fix __init__.py

* fix __init__

* fix formai

* fix comment

* fix comment

* buff

* edit test and code refactor

* refactor dir

* refactor tests/mmedit

* fix docstring

* add test coverage

* fix lint

* fix comment

* fix comment

* Update typehint (open-mmlab#216)

* update type hint

* update docstring

* update

* remove file

* fix ppl

* Refine get_predefined_partition_cfg

* fix tensorrt version > 8

* move parse_cuda_device_id to device.py

* Fix cascade

* onnx2ncnn docstring

Co-authored-by: Yifan Zhou <singlezombie@163.com>
Co-authored-by: RunningLeon <maningsheng@sensetime.com>
Co-authored-by: VVsssssk <88368822+VVsssssk@users.noreply.github.com>
Co-authored-by: AllentDan <41138331+AllentDan@users.noreply.github.com>
Co-authored-by: hanrui1sensetime <83800577+hanrui1sensetime@users.noreply.github.com>
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