* update benchmark test
* fix circle ci gpu config
* move delivery, recorder, tracer from structures to task modules
* move ops from models to models.architectures
* rename dynamic_op to dynamic_ops
* fix configs and metafiles
* remove some github ci
* fix configs / readme / metafile
Co-authored-by: gaojianfei <gaojianfei@sensetime.com>
* fix name of mmcv-full to mmcv
* [doc] move the location of nas/kd/pruning; fix lint errors
* optimize docs and fix pre-commit error
* [Doc&Fix] add note for installation; fix the requirements
* update docs
Co-authored-by: humu789 <humu@pjlab.org.cn>
* [doc] add doc of installation, kd, nas, pruning
* [doc] add user guide part
* fix name of mmcv-full to mmcv
* [doc] fix mmcv based on zaida 's suggestion
* [doc] fix index error based on shiguang's comments
* 1.Add FBKD
* 1.Add torch_connector and its ut. 2.Revise readme and fbkd config.
* 1.Revise UT for torch_connectors
* 1.Revise nonlocalblock into a subclass of NonLocal2d in mmcv.cnn
* 1.Add ZSKT algorithm with zskt_generator, at_loss. 2.Add teacher_detach in kl_divergence.
* 1.Amend readme. 2.Revise UT bugs of test_graph and test_distill.
* 1.Amend docstring of zskt_generator
* 1.Add torch version judgment in test_distillation_loss.
* 1.Revise defaults of batch_size to 1 in generators. 2.Revise mmcls.data to mmcls.structures
* 1.Rename function "at" to "calc_attention_matrix".
* Refactor ModelEstimator:
1. add EvaluatorLoop in engine.runners;
2. add estimator for structures (both subnet & supernet);
3. add layer_counter for each op.
* fix lint
* update estimator:
1. add ResourceEstimator based on BaseEstimator;
2. add notes & examples for ResourceEstimator & EvaluatorLoop usage;
3. fix a bug of latency test.
4. minor changes according to comments.
* add UT & fix a bug caused by UT
* add docstrings & remove old estimator
* update docstrings for op_spec_counters
* rename resource_evaluator_val_loop
* support adding resource attrs of each submodule in a measured model
* fix lint
* refactor estimator file structures
* support estimating resources for spec modules
* rm old UT
* update new estimator UT cases
* fix traversal range of the model
* cancel unit convert in accumulate_sub_module_flops_params
* use estimator_cfg to build ResourceEstimator
* fix a broadcast bug
* delete fixed input_shape
* add assertion and string-format-return when measuring spec_modules
* add UT for estimating spec_modules
* 1.Add DAFL, including config, DAFLLoss and readme. 2.Add DataFreeDistillationtillation. 3.Add Generator, including base_generator and dafl_generator. 4.Add get_module_device and set_requires_grad functions in utils.
* 1.Amend the file that report error in mypy test under py37, including gather_tensors, datafree_distillation, base_generator. 2.Revise other linting error.
* 1.Revise some docstrings.
* 1.Add UT for datafreedistillation. 2.Add all typing.hints.
* 1.Add UT for generators and gather_tensors.
* 1.Add assert of batch_size in base_generator
* 1.Isort
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
* add BaseNode/BaseGraph, ModuleNode/ModuleGraph
* add docstring, redesign some functions
* add 'placeholder' after cat/bind/pass
* change type to a property from a method
* add test model s
* rename XXXNode in path to PathXXXNode
* 'xxconv' -> 'xxconv2d' in type
* ToGraph -> GraphConverter, PathToGraph -> PathToGraphConverter
* rm init_from_path_list
* convert some public methods to private methods in GraphConverter
* type -> basic_type
* fix some error
Co-authored-by: liukai <liukai@pjlab.org.cn>
* add dynamic bricks
* add dynamic conv2d test
* add tests for dynamic linear and dynamic norm
* add docstring for dynamic conv2d
* add docstring for dynamic linear
* add docstring for dynamic batchnorm
* Refactor the dynamic op ( put more logic into the mixin )
* fix UT
* Fix UT ( fileio was moved to mmengine)
* derived mutable adds choices property
* Unify the register interface of mutable in dynamic op
* Unified getter interface of mutable in dynamic op
Co-authored-by: gaojianfei <gaojianfei@sensetime.com>
Co-authored-by: pppppM <gjf_mail@126.com>
* fix lint
* complement unittest for derived mutable
* add docstring for derived mutable
* add unittest for mutable value
* fix logger error
* fix according to comments
* not dump derived mutable when export
* add warning in `export_fix_subnet`
* fix __mul__ in mutable value
* move build_arch_param from mutable to mutator
* fix UT of diff mutable and mutator
* modify based on shiguang's comments
* remove mutator from the unittest of mutable
* 1.Add ABLoss and its config, readme and pipeline image. 2.Merge all connectors in general_connector into convconnector.
* 1.Improve convconnector to convmoduleconnecotr which aligns with mmcv. 2.Revise UT of test_connector. 3.Revise config of fitnet and abloss. 4.Revise mmcls import of darts_subnet_head to align with the newest mmcls-dev-1.x.
* 1.Simplify ConvModuleConncetor by ConvModule.
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
* Fix spelling mistakes
* 1.Rename general connectors. 2.Replace nn.conv2 to build_conv_layer, replace nn.bn to build_norm_layer.
* 1. Rename function init_parameters to init_weights in SingleConvConnector to realize automatically invocation.
* 1. Add norm_cfg in config and general_connector
* 1.Move calculate_student_loss to distillation algorithm. 2.Move mmrazor.models.connector to mmrazor.models.architectures. 3.Merge stu_connectors and tea_connectors into connectors, and call connectors by their connector_name.
* 1.Replace connector_name to connector in record_info. 2.Add assert that each connector must be in connectors.
Co-authored-by: zhangzhongyu.vendor < zhangzhongyu.vendor@sensetime.com>
