Bump version to v0.3.0 #135
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* add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory
* add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory
* refactor set_random_seed * add unittests * fix unittests error * fix lint * avoid bc breaking
…nit_fn (#113) * add init_random_seed * Set diff seed to diff workers
* support multi nodes * update training doc * fix lints * remove fixed seed
* Add brief installation * add brief installtion ref to mmediting pr#816 Co-authored-by: caoweihan <[email protected]>
* fix bugs in pruner when pruning models with shared modules * pruner can trace models with dilation conv2d * fix deploy_subnet * fix add_pruning_attrs * fix bugs in modify_forward * fix lint * fix StructurePruner * test tracing models with shared modules Co-authored-by: caoweihan <[email protected]>
* add docs for dataset * add cfg-options for distillation * fix docs Co-authored-by: caoweihan <[email protected]>
Co-authored-by: caoweihan <[email protected]>
Codecov Report
@@ Coverage Diff @@
## master #135 +/- ##
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+ Coverage 58.46% 66.31% +7.84%
==========================================
Files 87 92 +5
Lines 3154 3369 +215
Branches 581 613 +32
==========================================
+ Hits 1844 2234 +390
+ Misses 1223 1033 -190
- Partials 87 102 +15
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pr open-mmlab/mmrazor#127 seems not merged to dev_v0.3.0 yet.
* add rkd * add rkd pytest * add rkd configs * fix readme * fix rkd * split rkd loss to distance-wise and angle-wise losses * rename rkd losses * add rkd metaflie * add rkd related links * rename rkd metafile and add to model index * delete cifar100 Co-authored-by: caoweihan <[email protected]> Co-authored-by: pppppM <[email protected]>
pppppM
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Jul 15, 2022
* [Feature] Add function to meet mmdeploy support (open-mmlab#102) * add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory * [Feature] Add function to meet mmdeploy support (open-mmlab#102) * add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory * [Refactor] Delete redundant `set_random_seed` function (open-mmlab#104) * refactor set_random_seed * add unittests * fix unittests error * fix lint * avoid bc breaking * [Feature] Add diff seeds to diff ranks and set torch seed in worker_init_fn (open-mmlab#113) * add init_random_seed * Set diff seed to diff workers * [Feature] Add multi machine dist_train (open-mmlab#114) * support multi nodes * update training doc * fix lints * remove fixed seed * fix ddp wrapper registry (open-mmlab#128) * [Docs] Add brief installation steps in README(_zh-CN).md (open-mmlab#121) * Add brief installation * add brief installtion ref to mmediting pr#816 Co-authored-by: caoweihan <[email protected]> * [BUG]Fix bugs in pruner (open-mmlab#126) * fix bugs in pruner when pruning models with shared modules * pruner can trace models with dilation conv2d * fix deploy_subnet * fix add_pruning_attrs * fix bugs in modify_forward * fix lint * fix StructurePruner * test tracing models with shared modules Co-authored-by: caoweihan <[email protected]> * [Docs]Add some more details to docs (open-mmlab#133) * add docs for dataset * add cfg-options for distillation * fix docs Co-authored-by: caoweihan <[email protected]> * reset norm running status after prepare_from_supernet (open-mmlab#81) * [Improvement]Sync train api (open-mmlab#115) Co-authored-by: caoweihan <[email protected]> * [Feature]Support Relational Knowledge Distillation (open-mmlab#127) * add rkd * add rkd pytest * add rkd configs * fix readme * fix rkd * split rkd loss to distance-wise and angle-wise losses * rename rkd losses * add rkd metaflie * add rkd related links * rename rkd metafile and add to model index * delete cifar100 Co-authored-by: caoweihan <[email protected]> Co-authored-by: pppppM <[email protected]> Co-authored-by: qiufeng <[email protected]> Co-authored-by: wutongshenqiu <[email protected]> Co-authored-by: whcao <[email protected]> Co-authored-by: caoweihan <[email protected]>
pppppM
added a commit
to pppppM/mmrazor
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Jul 15, 2022
* [Feature] Add function to meet mmdeploy support (open-mmlab#102) * add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory * [Feature] Add function to meet mmdeploy support (open-mmlab#102) * add init_model function for mmdeploy * fix lint * add unittest for init_xxx_model * fix lint * mv test_inference.py to test_apis directory * [Refactor] Delete redundant `set_random_seed` function (open-mmlab#104) * refactor set_random_seed * add unittests * fix unittests error * fix lint * avoid bc breaking * [Feature] Add diff seeds to diff ranks and set torch seed in worker_init_fn (open-mmlab#113) * add init_random_seed * Set diff seed to diff workers * [Feature] Add multi machine dist_train (open-mmlab#114) * support multi nodes * update training doc * fix lints * remove fixed seed * fix ddp wrapper registry (open-mmlab#128) * [Docs] Add brief installation steps in README(_zh-CN).md (open-mmlab#121) * Add brief installation * add brief installtion ref to mmediting pr#816 Co-authored-by: caoweihan <[email protected]> * [BUG]Fix bugs in pruner (open-mmlab#126) * fix bugs in pruner when pruning models with shared modules * pruner can trace models with dilation conv2d * fix deploy_subnet * fix add_pruning_attrs * fix bugs in modify_forward * fix lint * fix StructurePruner * test tracing models with shared modules Co-authored-by: caoweihan <[email protected]> * [Docs]Add some more details to docs (open-mmlab#133) * add docs for dataset * add cfg-options for distillation * fix docs Co-authored-by: caoweihan <[email protected]> * reset norm running status after prepare_from_supernet (open-mmlab#81) * [Improvement]Sync train api (open-mmlab#115) Co-authored-by: caoweihan <[email protected]> * [Feature]Support Relational Knowledge Distillation (open-mmlab#127) * add rkd * add rkd pytest * add rkd configs * fix readme * fix rkd * split rkd loss to distance-wise and angle-wise losses * rename rkd losses * add rkd metaflie * add rkd related links * rename rkd metafile and add to model index * delete cifar100 Co-authored-by: caoweihan <[email protected]> Co-authored-by: pppppM <[email protected]> Co-authored-by: qiufeng <[email protected]> Co-authored-by: wutongshenqiu <[email protected]> Co-authored-by: whcao <[email protected]> Co-authored-by: caoweihan <[email protected]>
humu789
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Feb 13, 2023
* Add tests * lint * add data * Remove redundant code
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Motivation
Bump version to v0.3.0