V0.3 pretrained rep fix #64
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amandlek
requested changes
Jul 3, 2023
| @@ -88,11 +88,15 @@ class Sequential(torch.nn.Sequential, Module): | |||
| """ | |||
| Compose multiple Modules together (defined above). | |||
| """ | |||
| def __init__(self, *args): | |||
| def __init__(self, *args, has_output_shape = True): | |||
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add small docstring here please
amandlek
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Jul 4, 2023
* colab links in readme and docs * move colab link to getting_started in docs, add colab banner in readme * basic support for logging warnings * wandb logging; revamped warning logging; macros * addressed PR comments; moved wandb proj name to experiments.logging section; hyperparam generator populates tags * change tags to meta. add wandb api key to macros * check that Macros.WANDB_ENTITY is not None * fix depth unprocessing, fix config modality handling * limit torch threads * space saving options in dataset extraction script * changes to make image uint8 to float conversion happen on GPU * disable load next obs if BC * small bug fix * add storage flags to docs * add some 2022 refs * add viola * add link to old docs on tab bar and logo into tab bar * make sure kwargs are empty in default configs for easy override * move some models into obs core file * minor change * work with older robosuite versions * add some 2023 refs * making validation hdf5 key explicit * IQL implementation; todo: comments and testing * revamped comments for IQL * add minimal iql test and fix template * added comments and tests; removed filter_type feature * updated docs and configs for d4rl v2 envs; added iql results * update iql template json config to reflect v0.3 changes * generate iql configs for d4rl * fixed small bug with d4rl output dirs * update version numbers for d4rl docs * adding r3m and mvp pretraining * clean * add doc for pretrain * fix * revert change to env robosuite * minor rename * update pretrained reps tutorial * fix minor issues * small update to iql config * small docs fix * add orbit reference * more 2023 papers * working version of color jitter net * add gaussian noise randomizer * fix bug in GaussianNoiseRandomizer * randomizer visualization * center cropping for CropRandomizer eval mode * viz randomizer * move randomizers to obs_core.py * remove dups * remove dups * missing import * doc instruction for visualizing randomizer * Fix tab issue * update reqs with matplotlib * modified docs for new datasets, new algos, wandb support * add note about using offline_study datasets * postprocess xml for v1.3 * update postprocess function * added verification exps * limit num torch threads * updated dataset gen script * mj211 verification runs * started conversion script for robosuite v1.3.1. WIP * initial conversion script ready * add verion to env_robosuite; fix bug from observation modality PR * added v_1_3_1 verification jsons * converted lift dataset, wip on can * playback with can appears working but state divergence still high * all tasks minimally in place now without mujoco exceptions * minimal script for robosuite v140 conversion; created configs * updated robosuite v140 convertion script * added version checks for robosuite * update dataset registry to point to v141 raw datasets * generating and downloading datasets for v141 * updated obs extraction script to use v141 robosuite datasets * remove unsued scripts * remove unnec script * delete old verification scripts * remove unnec changes * add low_dim dataset links back in, more informative message for unstored datasets * Transformer support (#38) * initial BC-mingpt implementation * added adamw and weight scheduler * updated mingpt configs for sweep * rename mingpt -> transformer * cleaned up bc transformer in bc.py * cleaned up code comments * remove internal config gen scripts * addressing Danfei's comments in PR * update template configs and make some cosmetic changes * add ack for mingpt --------- Co-authored-by: Ajay Mandlekar <ajay.mandlekar@gmail.com> Co-authored-by: amandlek <amandlek@users.noreply.github.com> * bump version and minor docs update * remove file * some minor docs fixes for updated test_v141 hdf5 * small change to gitignore for test hdf5 * some minor docs fixes * update 2023 refs * Update obs_core.py with import * Add wandb description in "viewing results" tutorial page * added more wandb info to docs * fix observation postprocessing for nested obs dicts * added bc transformer tests * V0.3 transformer tutorial (#59) * added transformer tutorial * Update bc_transformer.json * Update bc_transformer.json * Update training_transformers.md * adjusting tutorial docs based on feedback * changes to pretrained representations and transformer tutorial * added data loader params for pretrained reps tutorial --------- Co-authored-by: Bronars <mattbronars82@gmail.com> * add readme note * V0.3 pretrained rep fix (#64) * fixed error in base_nets for R3MConv * added error messages for Sequential * added doc string for Sequential init --------- Co-authored-by: Danfei Xu <danfeix@nvidia.com> Co-authored-by: snasiriany <snasiriany@gmail.com> Co-authored-by: josiah_wong <84cremebrule@gmail.com> Co-authored-by: Soroush Nasiriany <sornasir324@gmail.com> Co-authored-by: Soroush Nasiriany <snasiriany@users.noreply.github.com> Co-authored-by: j96w <j96w@qq.com> Co-authored-by: danfei <danfeiX@users.noreply.github.com> Co-authored-by: MBronars <35738375+MBronars@users.noreply.github.com> Co-authored-by: Bronars <mattbronars82@gmail.com>
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Allows Sequential class to be created with torch.nn modules that don't have output shapes defined