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[Feature] Support DenseNet #750

Merged
merged 10 commits into from
Apr 28, 2022
Merged

[Feature] Support DenseNet #750

merged 10 commits into from
Apr 28, 2022

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yingfhu
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@yingfhu yingfhu commented Mar 29, 2022

Motivation

Support DenseNet

Checklist

Before PR:

  • Pre-commit or other linting tools are used to fix the potential lint issues.
  • Bug fixes are fully covered by unit tests, the case that causes the bug should be added in the unit tests.
  • The modification is covered by complete unit tests. If not, please add more unit test to ensure the correctness.
  • The documentation has been modified accordingly, like docstring or example tutorials.

After PR:

  • If the modification has potential influence on downstream or other related projects, this PR should be tested with those projects, like MMDet or MMSeg.
  • CLA has been signed and all committers have signed the CLA in this PR.

@yingfhu yingfhu marked this pull request as draft March 29, 2022 09:51
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codecov bot commented Mar 29, 2022

Codecov Report

Merging #750 (ac17e12) into dev (df6edd7) will increase coverage by 0.11%.
The diff coverage is 95.16%.

@@            Coverage Diff             @@
##              dev     #750      +/-   ##
==========================================
+ Coverage   86.90%   87.02%   +0.11%     
==========================================
  Files         129      130       +1     
  Lines        8414     8538     +124     
  Branches     1446     1468      +22     
==========================================
+ Hits         7312     7430     +118     
- Misses        886      888       +2     
- Partials      216      220       +4     
Flag Coverage Δ
unittests 86.94% <95.16%> (+0.12%) ⬆️

Flags with carried forward coverage won't be shown. Click here to find out more.

Impacted Files Coverage Δ
mmcls/models/backbones/densenet.py 95.12% <95.12%> (ø)
mmcls/models/backbones/__init__.py 100.00% <100.00%> (ø)

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@yingfhu yingfhu marked this pull request as ready for review April 11, 2022 07:22
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@mzr1996 mzr1996 left a comment

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LGTM

@mzr1996 mzr1996 merged commit 59292b3 into open-mmlab:dev Apr 28, 2022
ayulockin pushed a commit to ayulockin/mmclassification that referenced this pull request May 6, 2022
* [Enhance] Add extra dataloader settings in configs. (open-mmlab#752)

* Use `train_dataloader`, `val_dataloader` and `test_dataloader` settings
in the `data` field to specify different arguments.

* Fix bug

* Fix bug

* [Enhance] Improve CPE performance by reduce memory copy. (open-mmlab#762)

* [Feature] Support resize relative position embedding in `SwinTransformer`. (open-mmlab#749)

* [Feature]: Add resize rel pos embed

* [Refactor]: Create a separated resize_rel_pos_bias_table func

* [Refactor]: Refactor rel pos embed bias

* [Refactor]: Move interpolate into func

* Remove index buffer only when window_size changes

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature] Add PoolFormer backbone and checkpoints. (open-mmlab#746)

* add PoolFormer

* fix some typos in PoolFormer

* fix lint error

* modify out_indices and gap

* fix typo

* fix lint

* fix typo

* fix typo in poolforemr README

* fix lint

* Update some paths

* Refactor freeze_stages method

* Add unit tests

* Fix lint

Co-authored-by: mzr1996 <mzr1996@163.com>

* Bump version to v0.22.1 (open-mmlab#785)

* [Docs] Refine API reference. (open-mmlab#774)

* [Docs] Refine API reference

* Add PoolFormer

* [Docs] Fix docs.

* [Enhance] Reduce the memory usage of unit tests for Swin-Transformer. (open-mmlab#759)

* [Feature] Support VAN. (open-mmlab#739)

* add van

* fix config

* add metafile

* add test

* model convert script

* fix review

* fix lint

* fix the configs and improve docs

* rm debug lines

* add VAN into api

Co-authored-by: Yu Zhaohui <1105212286@qq.com>

* [Feature] Support DenseNet. (open-mmlab#750)

* init add densenet implementation

* Add config and converted models

* update meta

* add test for memory efficient

* Add docs

* add doc for jit

* Update checkpoint path

* Update readthedocs

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Fix] Use symbolic link in the API reference of Chinese docs.

* [Enhance] Support training on IPU and add fine-tuning configs of ViT. (open-mmlab#723)

* implement training and evaluation on IPU

* fp16 SOTA

* Tput reaches 5600

* 123

* add poptorch dataloder

* change ipu_replicas to ipu-replicas

* add noqa to config long line(website)

* remove ipu dataloder test code

* del one blank line in test_builder

* refine the dataloder initialization

* fix a typo

* refine args for dataloder

* remove an annoted line

* process one more conflict

* adjust code structure in mmcv.ipu

* adjust ipu code structure in mmcv

* IPUDataloader to IPUDataLoader

* align with mmcv

* adjust according to mmcv

* mmcv code structre fixed

Co-authored-by: hudi <dihu@graphcore.ai>

* [Fix] Fix lint and mmcv version requirement for IPU.

* Bump version to v0.23.0 (open-mmlab#809)

* Refacoter Wandb hook and refine docstring

Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
mzr1996 added a commit that referenced this pull request Jun 2, 2022
…Biases Integration) (#764)

* wandb integration

* visualize using wandb tables

* wandb tables enhanced

* Refactor MMClsWandbHook (#1)

* [Enhance] Add extra dataloader settings in configs. (#752)

* Use `train_dataloader`, `val_dataloader` and `test_dataloader` settings
in the `data` field to specify different arguments.

* Fix bug

* Fix bug

* [Enhance] Improve CPE performance by reduce memory copy. (#762)

* [Feature] Support resize relative position embedding in `SwinTransformer`. (#749)

* [Feature]: Add resize rel pos embed

* [Refactor]: Create a separated resize_rel_pos_bias_table func

* [Refactor]: Refactor rel pos embed bias

* [Refactor]: Move interpolate into func

* Remove index buffer only when window_size changes

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature] Add PoolFormer backbone and checkpoints. (#746)

* add PoolFormer

* fix some typos in PoolFormer

* fix lint error

* modify out_indices and gap

* fix typo

* fix lint

* fix typo

* fix typo in poolforemr README

* fix lint

* Update some paths

* Refactor freeze_stages method

* Add unit tests

* Fix lint

Co-authored-by: mzr1996 <mzr1996@163.com>

* Bump version to v0.22.1 (#785)

* [Docs] Refine API reference. (#774)

* [Docs] Refine API reference

* Add PoolFormer

* [Docs] Fix docs.

* [Enhance] Reduce the memory usage of unit tests for Swin-Transformer. (#759)

* [Feature] Support VAN. (#739)

* add van

* fix config

* add metafile

* add test

* model convert script

* fix review

* fix lint

* fix the configs and improve docs

* rm debug lines

* add VAN into api

Co-authored-by: Yu Zhaohui <1105212286@qq.com>

* [Feature] Support DenseNet. (#750)

* init add densenet implementation

* Add config and converted models

* update meta

* add test for memory efficient

* Add docs

* add doc for jit

* Update checkpoint path

* Update readthedocs

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Fix] Use symbolic link in the API reference of Chinese docs.

* [Enhance] Support training on IPU and add fine-tuning configs of ViT. (#723)

* implement training and evaluation on IPU

* fp16 SOTA

* Tput reaches 5600

* 123

* add poptorch dataloder

* change ipu_replicas to ipu-replicas

* add noqa to config long line(website)

* remove ipu dataloder test code

* del one blank line in test_builder

* refine the dataloder initialization

* fix a typo

* refine args for dataloder

* remove an annoted line

* process one more conflict

* adjust code structure in mmcv.ipu

* adjust ipu code structure in mmcv

* IPUDataloader to IPUDataLoader

* align with mmcv

* adjust according to mmcv

* mmcv code structre fixed

Co-authored-by: hudi <dihu@graphcore.ai>

* [Fix] Fix lint and mmcv version requirement for IPU.

* Bump version to v0.23.0 (#809)

* Refacoter Wandb hook and refine docstring

Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>

* shuffle val data

* minor updates

* minor fix

Co-authored-by: Ma Zerun <mzr1996@163.com>
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
mzr1996 added a commit to mzr1996/mmpretrain that referenced this pull request Nov 24, 2022
* init add densenet implementation

* Add config and converted models

* update meta

* add test for memory efficient

* Add docs

* add doc for jit

* Update checkpoint path

* Update readthedocs

Co-authored-by: mzr1996 <mzr1996@163.com>
mzr1996 added a commit to mzr1996/mmpretrain that referenced this pull request Nov 24, 2022
…Biases Integration) (open-mmlab#764)

* wandb integration

* visualize using wandb tables

* wandb tables enhanced

* Refactor MMClsWandbHook (open-mmlab#1)

* [Enhance] Add extra dataloader settings in configs. (open-mmlab#752)

* Use `train_dataloader`, `val_dataloader` and `test_dataloader` settings
in the `data` field to specify different arguments.

* Fix bug

* Fix bug

* [Enhance] Improve CPE performance by reduce memory copy. (open-mmlab#762)

* [Feature] Support resize relative position embedding in `SwinTransformer`. (open-mmlab#749)

* [Feature]: Add resize rel pos embed

* [Refactor]: Create a separated resize_rel_pos_bias_table func

* [Refactor]: Refactor rel pos embed bias

* [Refactor]: Move interpolate into func

* Remove index buffer only when window_size changes

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Feature] Add PoolFormer backbone and checkpoints. (open-mmlab#746)

* add PoolFormer

* fix some typos in PoolFormer

* fix lint error

* modify out_indices and gap

* fix typo

* fix lint

* fix typo

* fix typo in poolforemr README

* fix lint

* Update some paths

* Refactor freeze_stages method

* Add unit tests

* Fix lint

Co-authored-by: mzr1996 <mzr1996@163.com>

* Bump version to v0.22.1 (open-mmlab#785)

* [Docs] Refine API reference. (open-mmlab#774)

* [Docs] Refine API reference

* Add PoolFormer

* [Docs] Fix docs.

* [Enhance] Reduce the memory usage of unit tests for Swin-Transformer. (open-mmlab#759)

* [Feature] Support VAN. (open-mmlab#739)

* add van

* fix config

* add metafile

* add test

* model convert script

* fix review

* fix lint

* fix the configs and improve docs

* rm debug lines

* add VAN into api

Co-authored-by: Yu Zhaohui <1105212286@qq.com>

* [Feature] Support DenseNet. (open-mmlab#750)

* init add densenet implementation

* Add config and converted models

* update meta

* add test for memory efficient

* Add docs

* add doc for jit

* Update checkpoint path

* Update readthedocs

Co-authored-by: mzr1996 <mzr1996@163.com>

* [Fix] Use symbolic link in the API reference of Chinese docs.

* [Enhance] Support training on IPU and add fine-tuning configs of ViT. (open-mmlab#723)

* implement training and evaluation on IPU

* fp16 SOTA

* Tput reaches 5600

* 123

* add poptorch dataloder

* change ipu_replicas to ipu-replicas

* add noqa to config long line(website)

* remove ipu dataloder test code

* del one blank line in test_builder

* refine the dataloder initialization

* fix a typo

* refine args for dataloder

* remove an annoted line

* process one more conflict

* adjust code structure in mmcv.ipu

* adjust ipu code structure in mmcv

* IPUDataloader to IPUDataLoader

* align with mmcv

* adjust according to mmcv

* mmcv code structre fixed

Co-authored-by: hudi <dihu@graphcore.ai>

* [Fix] Fix lint and mmcv version requirement for IPU.

* Bump version to v0.23.0 (open-mmlab#809)

* Refacoter Wandb hook and refine docstring

Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>

* shuffle val data

* minor updates

* minor fix

Co-authored-by: Ma Zerun <mzr1996@163.com>
Co-authored-by: XiaobingZhang <xiaobing.zhang@intel.com>
Co-authored-by: Yuan Liu <30762564+YuanLiuuuuuu@users.noreply.github.com>
Co-authored-by: Weihao Yu <1090924009@qq.com>
Co-authored-by: takuoko <to78314910@gmail.com>
Co-authored-by: Yu Zhaohui <1105212286@qq.com>
Co-authored-by: Hubert <42952108+yingfhu@users.noreply.github.com>
Co-authored-by: Hu Di <476658825@qq.com>
Co-authored-by: hudi <dihu@graphcore.ai>
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2 participants