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[Improvement] Update estimator with api revision #277

Merged
merged 7 commits into from
Sep 14, 2022
Merged

[Improvement] Update estimator with api revision #277

merged 7 commits into from
Sep 14, 2022

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gaoyang07
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Thanks for your contribution and we appreciate it a lot. The following instructions would make your pull request more healthy and more easily get feedback. If you do not understand some items, don't worry, just make the pull request and seek help from maintainers.

Motivation

Please describe the motivation of this PR and the goal you want to achieve through this PR.

Modification

  • Update ResourceEstimator with more init_cfgs.
  • Add units prefix in measurement.
  • Update UTs in estimator & runner_loops.

BC-breaking (Optional)

Does the modification introduce changes that break the backward compatibility of the downstream repositories?
If so, please describe how it breaks the compatibility and how the downstream projects should modify their code to keep compatibility with this PR.

Use cases (Optional)

If this PR introduces a new feature, it is better to list some use cases here and update the documentation.

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 tests 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.

sunnyxiaohu
sunnyxiaohu reviewed Sep 7, 2022
View reviewed changes
mmrazor/engine/runner/evolution_search_loop.py Outdated
@@ -65,7 +67,8 @@ def __init__(self,
num_mutation: int = 25,
num_crossover: int = 25,
mutate_prob: float = 0.1,
flops_range: Optional[Tuple[float, float]] = (0., 330 * 1e6),
flops_range: Optional[Tuple[float, float]] = (0., 330),
resource_input_shape: Tuple = (1, 3, 224, 224),
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resource_input_shape and spec_modules -> resource_evaluator_cfg to unify build cfgs

mmrazor/engine/runner/subnet_sampler_loop.py Outdated
@@ -138,7 +140,8 @@ def __init__(self,
val_begin: int = 1,
val_interval: int = 1000,
score_key: str = 'accuracy/top1',
flops_range: Optional[Tuple[float, float]] = (0., 330 * 1e6),
flops_range: Optional[Tuple[float, float]] = (0., 330),
resource_input_shape: Tuple = (1, 3, 224, 224),
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resource_input_shape and spec_modules -> resource_evaluator_cfg to unify build cfgs

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Check commit bbbb675 to assess current usage.

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resource_estimator_cfg may be better, evaluator is confused easily with mmengine's. I will fix it in my commit

mmrazor/models/task_modules/estimators/base_estimator.py Outdated
input_shape: Tuple = (1, 3, 224, 224),
units: Dict = dict(),
as_strings: bool = False):
assert len(input_shape) == 4, (
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len(input_shape) in [3, 4, 5] is supported.

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Done.

humu789
humu789 reviewed Sep 13, 2022
View reviewed changes
mmrazor/models/task_modules/estimators/resource_estimator.py

from mmrazor.registry import TASK_UTILS
from .base_estimator import BaseEstimator
from .counters import (get_model_complexity_info, params_units_convert,
repeat_measure_inference_speed)
from .counters import get_model_flops_params, get_model_latency


@TASK_UTILS.register_module()
class ResourceEstimator(BaseEstimator):
"""Estimator for calculating the resources consume.

Args:
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docstring of args need to update

humu789
humu789 reviewed Sep 13, 2022
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mmrazor/models/task_modules/estimators/counters/flops_params_counter.py
print_per_layer_stat=False,
units=dict(flops='M', params='M'),
as_strings=False,
seperate_return: bool = False,
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seperate_return need to add docstring

sunnyxiaohu
sunnyxiaohu reviewed Sep 14, 2022
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mmrazor/engine/runner/utils/check.py Outdated
from typing import Optional, Tuple

import torch.nn as nn
from mmdet.models.detectors import BaseDetector
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Try to use PlaceHolder for downstream repos.

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Done.

@sunnyxiaohu sunnyxiaohu merged commit 4e80037 into open-mmlab:dev-1.x Sep 14, 2022
@gaoyang07 gaoyang07 mentioned this pull request Sep 14, 2022
Closed
@gaoyang07 gaoyang07 deleted the gy/estimator_update branch October 9, 2022 08:46
LKJacky added a commit that referenced this pull request Oct 10, 2022
@LKJacky @fpshuang
@gaoyang07 @HIT-cwh @pppppM
Merge dev-1.x to pruning (#311)
8330b62 
* [feature] CONTRASTIVE REPRESENTATION DISTILLATION with dataset wrapper (#281)

* init

* TD: CRDLoss

* complete UT

* fix docstrings

* fix ci

* update

* fix CI

* DONE

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* add UT: CRD_ClsDataset

* init

* TODO: UT test formatting.

* init

* crd dataset wrapper

* update docstring

Co-authored-by: huangpengsheng <[email protected]>

* [Improvement] Update estimator with api revision (#277)

* update estimator usage and fix bugs

* refactor api of estimator & add inner check methods

* fix docstrings

* update search loop and config

* fix lint

* update unittest

* decouple mmdet dependency and fix lint

Co-authored-by: humu789 <[email protected]>

* [Fix] Fix tracer (#273)

* test image_classifier_loss_calculator

* fix backward tracer

* update SingleStageDetectorPseudoLoss

* merge

* [Feature] Add Dsnas Algorithm (#226)

* [tmp] Update Dsnas

* [tmp] refactor arch_loss & flops_loss

* Update Dsnas & MMRAZOR_EVALUATOR:
1. finalized compute_loss & handle_grads in algorithm;
2. add MMRAZOR_EVALUATOR;
3. fix bugs.

* Update lr scheduler & fix a bug:
1. update param_scheduler & lr_scheduler for dsnas;
2. fix a bug of switching to finetune stage.

* remove old evaluators

* remove old evaluators

* update param_scheduler config

* merge dev-1.x into gy/estimator

* add flops_loss in Dsnas using ResourcesEstimator

* get resources before mutator.prepare_from_supernet

* delete unness broadcast api from gml

* broadcast spec_modules_resources when estimating

* update early fix mechanism for Dsnas

* fix merge

* update units in estimator

* minor change

* fix data_preprocessor api

* add flops_loss_coef

* remove DsnasOptimWrapper

* fix bn eps and data_preprocessor

* fix bn weight decay bug

* add betas for mutator optimizer

* set diff_rank_seed=True for dsnas

* fix start_factor of lr when warm up

* remove .module in non-ddp mode

* add GlobalAveragePoolingWithDropout

* add UT for dsnas

* remove unness channel adjustment for shufflenetv2

* update supernet configs

* delete unness dropout

* delete unness part with minor change on dsnas

* minor change on the flag of search stage

* update README and subnet configs

* add UT for OneHotMutableOP

* [Feature] Update train (#279)

* support auto resume

* add enable auto_scale_lr in train.py

* support '--amp' option

* [Fix] Fix darts metafile (#278)

fix darts metafile

* fix ci (#284)

* fix ci for circle ci

* fix bug in test_metafiles

* add  pr_stage_test for github ci

* add multiple version

* fix ut

* fix lint

* Temporarily skip dataset UT

* update github ci

* add github lint ci

* install wheel

* remove timm from requirements

* install wheel when test on windows

* fix error

* fix bug

* remove github windows ci

* fix device error of arch_params when DsnasDDP

* fix CRD dataset ut

* fix scope error

* rm test_cuda in workflows of github

* [Doc] fix typos in en/usr_guides

Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

Co-authored-by: P.Huang <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: Yang Gao <[email protected]>
Co-authored-by: humu789 <[email protected]>
Co-authored-by: whcao <[email protected]>
Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>
LKJacky added a commit that referenced this pull request Oct 10, 2022
@LKJacky @fpshuang
@gaoyang07 @HIT-cwh @pppppM
Refine pruning branch (#307)
3715bbc 
* [feature] CONTRASTIVE REPRESENTATION DISTILLATION with dataset wrapper (#281)

* init

* TD: CRDLoss

* complete UT

* fix docstrings

* fix ci

* update

* fix CI

* DONE

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* add UT: CRD_ClsDataset

* init

* TODO: UT test formatting.

* init

* crd dataset wrapper

* update docstring

Co-authored-by: huangpengsheng <[email protected]>

* [Improvement] Update estimator with api revision (#277)

* update estimator usage and fix bugs

* refactor api of estimator & add inner check methods

* fix docstrings

* update search loop and config

* fix lint

* update unittest

* decouple mmdet dependency and fix lint

Co-authored-by: humu789 <[email protected]>

* [Fix] Fix tracer (#273)

* test image_classifier_loss_calculator

* fix backward tracer

* update SingleStageDetectorPseudoLoss

* merge

* [Feature] Add Dsnas Algorithm (#226)

* [tmp] Update Dsnas

* [tmp] refactor arch_loss & flops_loss

* Update Dsnas & MMRAZOR_EVALUATOR:
1. finalized compute_loss & handle_grads in algorithm;
2. add MMRAZOR_EVALUATOR;
3. fix bugs.

* Update lr scheduler & fix a bug:
1. update param_scheduler & lr_scheduler for dsnas;
2. fix a bug of switching to finetune stage.

* remove old evaluators

* remove old evaluators

* update param_scheduler config

* merge dev-1.x into gy/estimator

* add flops_loss in Dsnas using ResourcesEstimator

* get resources before mutator.prepare_from_supernet

* delete unness broadcast api from gml

* broadcast spec_modules_resources when estimating

* update early fix mechanism for Dsnas

* fix merge

* update units in estimator

* minor change

* fix data_preprocessor api

* add flops_loss_coef

* remove DsnasOptimWrapper

* fix bn eps and data_preprocessor

* fix bn weight decay bug

* add betas for mutator optimizer

* set diff_rank_seed=True for dsnas

* fix start_factor of lr when warm up

* remove .module in non-ddp mode

* add GlobalAveragePoolingWithDropout

* add UT for dsnas

* remove unness channel adjustment for shufflenetv2

* update supernet configs

* delete unness dropout

* delete unness part with minor change on dsnas

* minor change on the flag of search stage

* update README and subnet configs

* add UT for OneHotMutableOP

* [Feature] Update train (#279)

* support auto resume

* add enable auto_scale_lr in train.py

* support '--amp' option

* [Fix] Fix darts metafile (#278)

fix darts metafile

* fix ci (#284)

* fix ci for circle ci

* fix bug in test_metafiles

* add  pr_stage_test for github ci

* add multiple version

* fix ut

* fix lint

* Temporarily skip dataset UT

* update github ci

* add github lint ci

* install wheel

* remove timm from requirements

* install wheel when test on windows

* fix error

* fix bug

* remove github windows ci

* fix device error of arch_params when DsnasDDP

* fix CRD dataset ut

* fix scope error

* rm test_cuda in workflows of github

* [Doc] fix typos in en/usr_guides

Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

* fix bug when python=3.6

* fix lint

* fix bug when test using cpu only

* refine ci

* fix error in ci

* try ci

* update repr of Channel

* fix error

* mv init_from_predefined_model to MutableChannelUnit

* move tests

* update SquentialMutableChannel

* update l1 mutable channel unit

* add OneShotMutableChannel

* candidate_mode -> choice_mode

* update docstring

* change ci

Co-authored-by: P.Huang <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: Yang Gao <[email protected]>
Co-authored-by: humu789 <[email protected]>
Co-authored-by: whcao <[email protected]>
Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>
pppppM added a commit that referenced this pull request Oct 10, 2022
@LKJacky @fpshuang
@gaoyang07 @HIT-cwh @pppppM
merge pruning into dev-1.x (#312)
b4b7e24 
* add ChannelGroup (#250)

* rebase new dev-1.x

* modification for adding config_template

* add docstring to channel_group.py

* add docstring to mutable_channel_group.py

* rm channel_group_cfg from Graph2ChannelGroups

* change choice type of SequentialChannelGroup from float to int

* add a warning about group-wise conv

* restore __init__ of dynamic op

* in_channel_mutable  ->  mutable_in_channel

* rm abstractproperty

* add a comment about VT

* rm registry for ChannelGroup

* MUTABLECHANNELGROUP -> ChannelGroupType

* refine docstring of IndexDict

* update docstring

* update docstring

* is_prunable -> is_mutable

* update docstring

* fix error in pre-commit

* update unittest

* add return type

* unify init_xxx apit

* add unitest about init of MutableChannelGroup

* update according to reviews

* sequential_channel_group -> sequential_mutable_channel_group

Co-authored-by: liukai <[email protected]>

* Add BaseChannelMutator and refactor Autoslim (#289)

* add BaseChannelMutator

* add autoslim

* tmp

* make SequentialMutableChannelGroup accpeted both of num and ratio  as choice. and supports divisior

* update OneShotMutableChannelGroup

* pass supernet training of autoslim

* refine autoslim

* fix bug in OneShotMutableChannelGroup

* refactor make_divisible

* fix spell error:  channl -> channel

* init_using_backward_tracer -> init_from_backward_tracer
init_from_fx_tracer -> init_from_fx_tracer

* refine SequentialMutableChannelGroup

* let mutator support models with dynamicop

* support define search space in model

* tracer_cfg -> parse_cfg

* refine

* using -> from

* update docstring

* update docstring

Co-authored-by: liukai <[email protected]>

* refactor slimmable and add l1-norm (#291)

* refactor slimmable and add l1-norm

* make l1-norm support convnd

* update get_channel_groups

* add  l1-norm_resnet34_8xb32_in1k.py

* add pretrained to resnet34-l1

* remove old channel mutator

* BaseChannelMutator -> ChannelMutator

* update according to reviews

* add readme to l1-norm

* MBV2_slimmable -> MBV2_slimmable_config

Co-authored-by: liukai <[email protected]>

* Clean old codes. (#296)

* remove old dynamic ops

* move dynamic ops

* clean old mutable_channels

* rm OneShotMutableChannel

* rm MutableChannel

* refine

* refine

* use SquentialMutableChannel to replace OneshotMutableChannel

* refactor dynamicops folder

* let SquentialMutableChannel support float

Co-authored-by: liukai <[email protected]>

* Add channel-flow (#301)

* base_channel_mutator -> channel_mutator

* init

* update docstring

* allow omitting redundant configs for channel

* add register_mutable_channel_to_a_module to MutableChannelContainer

* update according to reviews 1

* update according to reviews 2

* update according to reviews 3

* remove old docstring

* fix error

* using->from

* update according to reviews

* support self-define input channel number

* update docstring

* chanenl -> channel_elem

Co-authored-by: liukai <[email protected]>
Co-authored-by: jacky <[email protected]>

* Rename: ChannelGroup -> ChannelUnit (#302)

* refine repr of MutableChannelGroup

* rename folder name

* ChannelGroup -> ChannelUnit

* filename in units folder

* channel_group -> channel_unit

* groups -> units

* group -> unit

* update

* get_mutable_channel_groups -> get_mutable_channel_units

* fix bug

* refine docstring

* fix ci

* fix bug in tracer

Co-authored-by: liukai <[email protected]>

* Merge dev-1.x to pruning (#311)

* [feature] CONTRASTIVE REPRESENTATION DISTILLATION with dataset wrapper (#281)

* init

* TD: CRDLoss

* complete UT

* fix docstrings

* fix ci

* update

* fix CI

* DONE

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* add UT: CRD_ClsDataset

* init

* TODO: UT test formatting.

* init

* crd dataset wrapper

* update docstring

Co-authored-by: huangpengsheng <[email protected]>

* [Improvement] Update estimator with api revision (#277)

* update estimator usage and fix bugs

* refactor api of estimator & add inner check methods

* fix docstrings

* update search loop and config

* fix lint

* update unittest

* decouple mmdet dependency and fix lint

Co-authored-by: humu789 <[email protected]>

* [Fix] Fix tracer (#273)

* test image_classifier_loss_calculator

* fix backward tracer

* update SingleStageDetectorPseudoLoss

* merge

* [Feature] Add Dsnas Algorithm (#226)

* [tmp] Update Dsnas

* [tmp] refactor arch_loss & flops_loss

* Update Dsnas & MMRAZOR_EVALUATOR:
1. finalized compute_loss & handle_grads in algorithm;
2. add MMRAZOR_EVALUATOR;
3. fix bugs.

* Update lr scheduler & fix a bug:
1. update param_scheduler & lr_scheduler for dsnas;
2. fix a bug of switching to finetune stage.

* remove old evaluators

* remove old evaluators

* update param_scheduler config

* merge dev-1.x into gy/estimator

* add flops_loss in Dsnas using ResourcesEstimator

* get resources before mutator.prepare_from_supernet

* delete unness broadcast api from gml

* broadcast spec_modules_resources when estimating

* update early fix mechanism for Dsnas

* fix merge

* update units in estimator

* minor change

* fix data_preprocessor api

* add flops_loss_coef

* remove DsnasOptimWrapper

* fix bn eps and data_preprocessor

* fix bn weight decay bug

* add betas for mutator optimizer

* set diff_rank_seed=True for dsnas

* fix start_factor of lr when warm up

* remove .module in non-ddp mode

* add GlobalAveragePoolingWithDropout

* add UT for dsnas

* remove unness channel adjustment for shufflenetv2

* update supernet configs

* delete unness dropout

* delete unness part with minor change on dsnas

* minor change on the flag of search stage

* update README and subnet configs

* add UT for OneHotMutableOP

* [Feature] Update train (#279)

* support auto resume

* add enable auto_scale_lr in train.py

* support '--amp' option

* [Fix] Fix darts metafile (#278)

fix darts metafile

* fix ci (#284)

* fix ci for circle ci

* fix bug in test_metafiles

* add  pr_stage_test for github ci

* add multiple version

* fix ut

* fix lint

* Temporarily skip dataset UT

* update github ci

* add github lint ci

* install wheel

* remove timm from requirements

* install wheel when test on windows

* fix error

* fix bug

* remove github windows ci

* fix device error of arch_params when DsnasDDP

* fix CRD dataset ut

* fix scope error

* rm test_cuda in workflows of github

* [Doc] fix typos in en/usr_guides

Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

Co-authored-by: P.Huang <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: Yang Gao <[email protected]>
Co-authored-by: humu789 <[email protected]>
Co-authored-by: whcao <[email protected]>
Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

* Refine pruning branch (#307)

* [feature] CONTRASTIVE REPRESENTATION DISTILLATION with dataset wrapper (#281)

* init

* TD: CRDLoss

* complete UT

* fix docstrings

* fix ci

* update

* fix CI

* DONE

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* maintain CRD dataset unique funcs as a mixin

* add UT: CRD_ClsDataset

* init

* TODO: UT test formatting.

* init

* crd dataset wrapper

* update docstring

Co-authored-by: huangpengsheng <[email protected]>

* [Improvement] Update estimator with api revision (#277)

* update estimator usage and fix bugs

* refactor api of estimator & add inner check methods

* fix docstrings

* update search loop and config

* fix lint

* update unittest

* decouple mmdet dependency and fix lint

Co-authored-by: humu789 <[email protected]>

* [Fix] Fix tracer (#273)

* test image_classifier_loss_calculator

* fix backward tracer

* update SingleStageDetectorPseudoLoss

* merge

* [Feature] Add Dsnas Algorithm (#226)

* [tmp] Update Dsnas

* [tmp] refactor arch_loss & flops_loss

* Update Dsnas & MMRAZOR_EVALUATOR:
1. finalized compute_loss & handle_grads in algorithm;
2. add MMRAZOR_EVALUATOR;
3. fix bugs.

* Update lr scheduler & fix a bug:
1. update param_scheduler & lr_scheduler for dsnas;
2. fix a bug of switching to finetune stage.

* remove old evaluators

* remove old evaluators

* update param_scheduler config

* merge dev-1.x into gy/estimator

* add flops_loss in Dsnas using ResourcesEstimator

* get resources before mutator.prepare_from_supernet

* delete unness broadcast api from gml

* broadcast spec_modules_resources when estimating

* update early fix mechanism for Dsnas

* fix merge

* update units in estimator

* minor change

* fix data_preprocessor api

* add flops_loss_coef

* remove DsnasOptimWrapper

* fix bn eps and data_preprocessor

* fix bn weight decay bug

* add betas for mutator optimizer

* set diff_rank_seed=True for dsnas

* fix start_factor of lr when warm up

* remove .module in non-ddp mode

* add GlobalAveragePoolingWithDropout

* add UT for dsnas

* remove unness channel adjustment for shufflenetv2

* update supernet configs

* delete unness dropout

* delete unness part with minor change on dsnas

* minor change on the flag of search stage

* update README and subnet configs

* add UT for OneHotMutableOP

* [Feature] Update train (#279)

* support auto resume

* add enable auto_scale_lr in train.py

* support '--amp' option

* [Fix] Fix darts metafile (#278)

fix darts metafile

* fix ci (#284)

* fix ci for circle ci

* fix bug in test_metafiles

* add  pr_stage_test for github ci

* add multiple version

* fix ut

* fix lint

* Temporarily skip dataset UT

* update github ci

* add github lint ci

* install wheel

* remove timm from requirements

* install wheel when test on windows

* fix error

* fix bug

* remove github windows ci

* fix device error of arch_params when DsnasDDP

* fix CRD dataset ut

* fix scope error

* rm test_cuda in workflows of github

* [Doc] fix typos in en/usr_guides

Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

* fix bug when python=3.6

* fix lint

* fix bug when test using cpu only

* refine ci

* fix error in ci

* try ci

* update repr of Channel

* fix error

* mv init_from_predefined_model to MutableChannelUnit

* move tests

* update SquentialMutableChannel

* update l1 mutable channel unit

* add OneShotMutableChannel

* candidate_mode -> choice_mode

* update docstring

* change ci

Co-authored-by: P.Huang <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: Yang Gao <[email protected]>
Co-authored-by: humu789 <[email protected]>
Co-authored-by: whcao <[email protected]>
Co-authored-by: liukai <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>

Co-authored-by: liukai <[email protected]>
Co-authored-by: jacky <[email protected]>
Co-authored-by: P.Huang <[email protected]>
Co-authored-by: huangpengsheng <[email protected]>
Co-authored-by: Yang Gao <[email protected]>
Co-authored-by: humu789 <[email protected]>
Co-authored-by: whcao <[email protected]>
Co-authored-by: pppppM <[email protected]>
Co-authored-by: gaoyang07 <[email protected]>
Co-authored-by: SheffieldCao <[email protected]>
humu789 pushed a commit to humu789/mmrazor that referenced this pull request Feb 13, 2023
@grimoire
Disable scatternd in TRT8+ (open-mmlab#277)
bd28671
humu789 pushed a commit to humu789/mmrazor that referenced this pull request Feb 13, 2023
@zytx121 @irexyc
@xizi @lzhangzz
Add roi_align_rotated op for onnxruntime (open-mmlab#277)
01a44c0 
* init

* add doc

* add

* Update test_ops.py

* fix bug

* fix pose demo and windows build (open-mmlab#307)

* add postprocessing_masks gpu version (open-mmlab#276)

* add postprocessing_masks gpu version

* default device cpu

* pre-commit fix

Co-authored-by: hadoop-basecv <[email protected]>

* fixed a bug causes text-recognizer to fail when (non-NULL) empty bboxes list is passed (open-mmlab#310)

* [Fix] include missing <type_traits> for formatter.h (open-mmlab#313)

* fix formatter

* relax GCC version requirement

* fix lint

* Update onnxruntime.md

* fix lint

Co-authored-by: Chen Xin <[email protected]>
Co-authored-by: Shengxi Li <[email protected]>
Co-authored-by: hadoop-basecv <[email protected]>
Co-authored-by: lzhangzz <[email protected]>
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