| HEAD | 5677756 | Update readme with AutoGluon (#1766) * introduce ag * fix opencv * fix * fix * test * test * test * test * fix * test * fix six * address comments Co-authored-by: Weisu Yin <weisy@amazon.com> | 19 January 2023, 00:37:33 UTC |
| refs/heads/autogluon | c2f6aa1 | Update train_cifar10.py | 02 October 2019, 15:05:38 UTC |
| refs/heads/cpu_pickle | 56b1059 | cpu pickle | 02 February 2022, 19:14:56 UTC |
| refs/heads/estimator | a34ff45 | Estimator con't improvements (#1484) * allow ssd/faster-rcnn to take in train/val dataset * update * fix * update ssd * fix ctx * fix ctx * fix self.datasets * fix self.epoch * remove async_net * fix predict * debug predict * fix predict scores * filter out invalid predictions * fix faster_rcnn * fix * fix * fix deepcopy * fix fpn anchor generator * fix ctx * fix frcnn predict * fix * fix skipping logic * fix yolo3 * fix import * fix rename yoloestimator * fix import * fix yolo3 train * fix * fix * fix * fix * fix * fix * fix * fix ctx * fix trainer * fix num_class < 5 for topk * fix unpickable batch_fn * fix print * add predict * fix cls predict * fix cls predict * fix cls predict * fix cls predict * improve auto fit * improve auto fit * fix * fix * fix * fix * fix * debug * fix * fix * fix * fix * fix * fix * fix reporter pickle * change epochs to smaller * update image cls search space * fix * fix * fix * fix * fix * fix * fix * replace sacred with autocfg * fix * fix tuple type * fix * fix * fix * clean up * remove sacred * fix import * fix import * add types * fix * fix * defaults for object detection * fix * fix * update image classification * change lr * update * Fix pylint * Fix pylint * fit summary * pprint summary * fix * update * fix single trial * fix sample_config * fix sample_config * fix sample_config * fix lint * fix lint * adjust batch size * fix * stacktrace * fix * fix traceback * fix traceback * fix train evaluation * default networks * default networks * improves * fix * fix lint Co-authored-by: tmwangcas <tmwang428@outlook.com> | 31 October 2020, 00:55:58 UTC |
| refs/heads/finetune | d0f73bf | Add trainer to the SSD tutorial (#319) * finetune * code * add trainer | 19 September 2018, 17:40:19 UTC |
| refs/heads/fix_cifar_tutorial | a946f47 | Update dive_deep_cifar10.py | 15 June 2019, 04:14:05 UTC |
| refs/heads/fix_cifar_tutorial_2 | dffb4fc | Update dive_deep_cifar10.py | 16 June 2019, 02:20:19 UTC |
| refs/heads/hetong007-patch-readme | 72e4c88 | fix pip | 02 July 2019, 22:42:43 UTC |
| refs/heads/master | 5677756 | Update readme with AutoGluon (#1766) * introduce ag * fix opencv * fix * fix * test * test * test * test * fix * test * fix six * address comments Co-authored-by: Weisu Yin <weisy@amazon.com> | 19 January 2023, 00:37:33 UTC |
| refs/heads/numpy | 1e9ca58 | densenet.py for MXNet-master (#1572) * resnet.py numpy * fix both document and a bug for RandomCrop (#1389) * fix both document and a bug for RandomCrop `RandomCrop` pad first and then crop, not what is said in the document or even CIFAR tutorials. further, an error occurs with the default `pad=None` ``` >>> for i in train_data:break ... multiprocessing.pool.RemoteTraceback: """ Traceback (most recent call last): File "/usr/lib/python3.8/multiprocessing/pool.py", line 125, in worker result = (True, func(*args, **kwds)) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in _worker_fn batch = batchify_fn([_worker_dataset[i] for i in samples]) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in <listcomp> batch = batchify_fn([_worker_dataset[i] for i in samples]) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 219, in __getitem__ return self._fn(*item) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 230, in __call__ return (self._fn(x),) + args File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__ out = self.forward(*args) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/nn/basic_layers.py", line 55, in forward x = block(x) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__ out = self.forward(*args) File "/home/neutron/.local/lib/python3.8/site-packages/gluoncv/data/transforms/block.py", line 75, in forward return image.random_crop(nd.array(x_pad), *self._args)[0] UnboundLocalError: local variable 'x_pad' referenced before assignment """ The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 505, in __next__ batch = pickle.loads(ret.get(self._timeout)) File "/usr/lib/python3.8/multiprocessing/pool.py", line 771, in get raise self._value UnboundLocalError: local variable 'x_pad' referenced before assignment ``` This PR is intend to fix both the document and the BUG which caused `pad` cannot be optional. * make pylint happy. make pylint happy. * happy-2 happy-2 * remove monkey patch I just think monkey patch may goes faster than the useless switch in the forward step * make checkers happy * fix CI checks * Update resnet.py * Update resnet.py * Update resnet.py * bump up to 0.9 pre (#1412) * bump up to 0.9 pre * fix nightly build mxnet * Update resnet.py * fixing ci * Revert "fixing ci" This reverts commit d2daaa3e4cf36d9146744320d89b32dcaa569ef2. * Update resnet.py * fix ci checks err * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci check errors * fix ci sanity check errors * fix ci check errors * fix ci check errors * fix type errors add as_nd_ndarray * fix ci check errors * modifying ssd.py resnet.py anchor.py * fix sanity check errors * fix sanity check warnings * modifying batchify,py rcnn.py anchor.py rpn_target * fix rpn_target.py sanity * modify batchify.py sanity checks * revert gluoncv/data/batchify.py to 1d84cae * modifying batchify.py * ssd.py nd.concat with as_np_ndarray * ssd.py nd.concat with as_np_ndarray * errors still exist * fix ci check errors * fix sanity check errors * fix sanity check, modify matcher.py * disable unittest of ssd * fix test_data_transforms.py * disable all unnecessary * disable unnecessay tests for resnet.py * import unittest test_nn utils_bbox metric parallel * disable uncessary tests for resnet * skip test_get_all_models * disable unnecessary tests * disable more test cases * disable resnet_v1b tests * fix tests bugs in test_model_zoo.py * disable tests for resnest * disable tests for se_resnet * disable nasnet tests * disable other tests * disable more tests * fix carelessness * disable tests * import unittest * unuse as_np_ndarray() * convert inputs to numpy ndarray * revert all changes except resnet.py * modifying image.py * Numpy API: cifar danet deeplab fcn pspnet... * commit message * resnest for mxnet-master * resnest for mxnet master * remove unrelated files * remove unrelated files * sanity * sanity * sanity * fixing error * fix resnest * resnext for mxnet-master * fix test_model_zoo * gluoncv/model_zoo/resnext.py:201:86: W0613: Unused argument 'stage_index' (unused-argument) * Unused argument 'stage_index' (unused-argument) * senet for mxnet-master * mobilenet for mxnet-master * sanity * mobilenetv3 for mxnet master * densenet for mxnet master * squeezenet * darknet only for mxnet master * from .yolo import * * test nn * alexnet for mxnet master * alexnet googlenet for mxnet master * fix test nn * vgg for mxnet master * change model store * update pretrained models * update model_store * Trigger Build * Trigger Build * Trigger Build * Trigger Build * fix ci issues * fix bugs * with np_shape(False): * sanity * with np_shape(False): * sanity * mx.np_shape * Update resnetv1b_pruned.py * Update resnetv1b_pruned.py * fixing * try fixing * try fixing * sanity * sanity * revert changes for pruned * Trigger Build Co-authored-by: jinboci <cijinbo@outlook.com> Co-authored-by: Neutron3529 <qweytr_1@163.com> Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Ubuntu <ubuntu@ip-172-31-29-176.ap-northeast-1.compute.internal> | 15 January 2021, 06:11:28 UTC |
| refs/heads/path-ci | 1f8ce46 | fix permission | 29 June 2022, 22:43:19 UTC |
| refs/heads/pose-estimation | 735b44b | fix duplicated model store, improve demo | 21 February 2019, 01:23:15 UTC |
| refs/tags/v0.1 | c4e2471 | update url and test oom (#79) * rename param suggested by Tong * pylint * update url | 01 May 2018, 00:03:02 UTC |
| refs/tags/v0.10.0 | 3862e2d | Fix get_model (#1626) * fix get model bug * disable dp | 02 March 2021, 18:37:34 UTC |
| refs/tags/v0.2.0 | 9975c04 | Add static alloc and fix load/save_params (#183) * fix save_params * add warmup lr * add static alloc * tune coco settings * fix load_params * add logging to saving parameters * tune coco param num_sample, test_post_nms * fix params doc * add coco settings to eval * change coco to 2x lr schedule * fix load_params in eval, pretrained backbone is still unchanged | 26 June 2018, 05:22:09 UTC |
| refs/tags/v0.3.0 | b55232d | force mxnet>=1.3.0, replace load_params with load_parameters (#398) * force mxnet>=1.3.0, replace load_params with load_parameters * fix pylint | 16 October 2018, 02:35:30 UTC |
| refs/tags/v0.4.0 | 8c022b5 | metrics for pre-trained FPN RCNN (#693) * number of gpus * syncbn * pylint * resnetv1c * merge * indent * unitest * trigger * norm args * indent * resnet v1d +0.5% * style * update docs * fix args * trigger build * add test * resolve conflict * Add FPN model * Add FPN train scripts * Fix FPN error, Stay tuned Training on VOC is still going on, I will report the result and log later. * Revert "Sync from dmlc/master" * Revert "Revert "Sync from dmlc/master"" * Update gluoncv/model_zoo/fpn/fpn.py * Fix `FPN` Bugs mAP on VOC07 is 58%, stay tuned. * add faster_rcnn_fpn_resnet50_v1b model * Update gluoncv/model_zoo/fpn/fpn.py * Update gluoncv/model_zoo/fpn/fpn.py * Create Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Update Readme.md * Rename Readme.md to README.md * Update Train and Eval script, Support Eval VOC12 Test. * Update scripts/detection/fpn/eval_fpn_voc12.py * Update scripts/detection/fpn/eval_fpn_voc12.py * Update README.md * Update README.md * Update fpn.py * Update gluoncv/model_zoo/model_zoo.py * Update gluoncv/model_zoo/model_zoo.py * default not to use static alloc to save memory, speed is not significantly impacted. added dilated faster_rcnn_resnet50_v1b added mask_rcnn_resnet101_v1b * fix missing args * small fix * docs * rm unneeded file * rm debug log * Faster RCNN with FPN * rm unnecessary files pylint rm Non-ASCII fix syntax lint rm from .fpn import * stride => strides rm syncbn in rpn rm syncbn arg mask rcnn arg fix missing "s" * rm 's' in anchor_generators * old model compatibility fix * not using RPNHead to keep backward compatibility with old models * _strides * mask rcnn compatibility * docs * rm dilated faster rcnn * mask rcnn w/ fpn * rm undefined functions * change default roi mode to 'align' * trigger build * change name of the fpn networks * model store update * Fix typo (#622) * Improve custo coco compatible detection dataset (#624) * coco det improve for custom datasets * allow flexible image path parser * fix pycocotools _isArrayLike * better comment * clean * Add assertions for invalid class names for VOCDetection (#614) * Add assertions for invalid class names * Add assertions for invalid class names (revision1) * Add assertions/warnings for invalid class names (revision2) * Add assertions/warnings for invalid class names (revision3) * Add assertions/warnings for invalid class names (revision4) * add detection paper (#628) * add bibtex * rephrase * update bibtex * Update PSP Params (#629) * update psp params * update with pin-device_id (#630) * sync bn faster rcnn * pylint * change roi from 7 to 14, since the last fpn model we trained use 14 * add pretrained faster rcnn fpn bn * Update model_zoo.py * Update model_zoo.py * fpn RCNN docs | 19 March 2019, 12:18:29 UTC |
| refs/tags/v0.5.0 | dc1af56 | Handle no Cython error in setup.py (#931) Signed-off-by: Serge Panev <spanev@nvidia.com> | 06 September 2019, 17:57:01 UTC |
| refs/tags/v0.6.0 | ce90b0e | [Deprecation] Deprecate python2 as it has reached EOF on Jan 1st, 2020 (#1141) * add warning * fix lint | 13 January 2020, 18:49:23 UTC |
| refs/tags/v0.7.0 | 18f8ab5 | add ResNeSt to Faster R-CNN (#1259) * add ResNeSt to Faster R-CNN add custom voc dataset * fix style * fix style * trigger ci * add docs * docs update * add custom voc dataset * small fix | 17 April 2020, 22:49:11 UTC |
| refs/tags/v0.8.0 | 1e90f7e | fix both document and a bug for RandomCrop (#1389) * fix both document and a bug for RandomCrop `RandomCrop` pad first and then crop, not what is said in the document or even CIFAR tutorials. further, an error occurs with the default `pad=None` ``` >>> for i in train_data:break ... multiprocessing.pool.RemoteTraceback: """ Traceback (most recent call last): File "/usr/lib/python3.8/multiprocessing/pool.py", line 125, in worker result = (True, func(*args, **kwds)) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in _worker_fn batch = batchify_fn([_worker_dataset[i] for i in samples]) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 450, in <listcomp> batch = batchify_fn([_worker_dataset[i] for i in samples]) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 219, in __getitem__ return self._fn(*item) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataset.py", line 230, in __call__ return (self._fn(x),) + args File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__ out = self.forward(*args) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/nn/basic_layers.py", line 55, in forward x = block(x) File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/block.py", line 693, in __call__ out = self.forward(*args) File "/home/neutron/.local/lib/python3.8/site-packages/gluoncv/data/transforms/block.py", line 75, in forward return image.random_crop(nd.array(x_pad), *self._args)[0] UnboundLocalError: local variable 'x_pad' referenced before assignment """ The above exception was the direct cause of the following exception: Traceback (most recent call last): File "<stdin>", line 1, in <module> File "/home/neutron/.local/lib/python3.8/site-packages/mxnet/gluon/data/dataloader.py", line 505, in __next__ batch = pickle.loads(ret.get(self._timeout)) File "/usr/lib/python3.8/multiprocessing/pool.py", line 771, in get raise self._value UnboundLocalError: local variable 'x_pad' referenced before assignment ``` This PR is intend to fix both the document and the BUG which caused `pad` cannot be optional. * make pylint happy. make pylint happy. * happy-2 happy-2 * remove monkey patch I just think monkey patch may goes faster than the useless switch in the forward step * make checkers happy | 10 August 2020, 00:44:22 UTC |
| refs/tags/v0.9.0 | 386be93 | Github Actions for CI (#1541) * [WIP] Github Actions (#1) * incorporate autodatasets (#1496) * Add torch clarification (#1495) * Add torch clarification * fix * Fix auto detectors (#1497) * fix yolo predictor * fix predict * fix config (#1498) * Added support for AWS Batch. Added support for docker (#1474) * Added support for AWS Batch. Added support for docker * Fixed style. Removed code in commet. Updated README to include boto3 usage * Renamed template file. Removed gluon aws id * fix readme * fix * fix imports (#1499) * fix imports * fix * fix image classification * fix * fix width height * fix * fix batch size * fix * fix * none to empty string (#1502) * [WIP] Tinycoco (#1501) * Add minicoco * update jenkins for minicoco * fix * renamed mini to tiny * fix * fix * fix, add VOCDetectionTiny * fix * fix env * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test * test * test * clean up Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> * Fix rcnn target generator (#1508) * fix not used rcnn target generator * fix lint * fix * fix * add get flops (#1509) * warmup scheduler for video torch (#1510) 1. refine warmup logic, now using cfg.CONFIG.TRAIN.USE_WARMUP to control open warmup or not. 2. fix bug in gluoncv/torch/utils/lr_policy.py 3. change training configs 4. change ddp_train_pytorch and ddp_train_shortonly_pytorch, This is tested on ec2 machines * update torchvideo model zoo (#1513) * add ir-csn-152 into torchvideo model zoo (#1515) * Revise danet.py (#1507) The dropout layer should be placed before the classification layer. * icnet missing background class (#1518) * Add CSN model to torch video model zoo (#1517) * add ircsn * update model zoo * fix lint * Improve auto tasks (#1523) * use in-memory pickle instead of disk file * add feature extractor for image classification * add tests * fix * fix lint * more unittests * fix * fix * Added github action and workflow for sanity check * Removed container and actions. * Added unit test * Added build docs * Fix * Fix * Fix * Fix * Test * test * Update unit test * fix * fix * fix * fix * fix * fix * fix * subclass coco * fix * fix * fix * fix * rebase conflict * fix rebase * fix * fix * add aws authentication * add aws authentication * test * test * test * test * test * fix log * test * test * test * test * test * test * fix * rebase * add tiny motorbike * fix * model zoo * test * fix docker * parallel jobs * parallel jobs * fix * add torch * add torch * fix * fix * fix * full test * full test * test build docs * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test branch * test branch * fix * test * test * add comment Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Yi Zhu <yizhu59@gmail.com> Co-authored-by: Xinyu Li <lixinyu.arthur@outlook.com> Co-authored-by: Chunhui Liu <chunhuiliu960@gmail.com> Co-authored-by: YANYI ZHANG <yz593@scarletmail.rutgers.edu> Co-authored-by: BebDong <BebDong@users.noreply.github.com> Co-authored-by: Kuang Haofei <haofeikuang@gmail.com> * [WIP] Test PR (#3) * Added github action and workflow for sanity check * Removed container and actions. * Added unit test * Added build docs * Fix * Fix * Fix * Fix * Test * test * Update unit test * fix * fix * fix * fix * fix * fix * fix * subclass coco * fix * fix * fix * fix * rebase conflict * fix rebase * fix * fix * add aws authentication * add aws authentication * test * test * test * test * test * fix log * test * test * test * test * test * test * fix * rebase * add tiny motorbike * fix * model zoo * test * fix docker * parallel jobs * parallel jobs * fix * add torch * add torch * fix * fix * fix * full test * full test * test build docs * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test branch * test branch * fix * test * test * add comment * test * full test * full test * full test * test (#5) * test * fix * change to 12x * test comments * change to pr_target * [WIP] Full Test (#6) * full test * test model zoo * test model zoo * full test * full test * add auto * add gpu_test.sh * test efs modelzoo * test efs modelzoo * test efs modelzoo * test without auto * test repo name * test repo name * test repo name * test repo name * test sharemem * full test (#8) * [WIP] Github Actions (#1) * incorporate autodatasets (#1496) * Add torch clarification (#1495) * Add torch clarification * fix * Fix auto detectors (#1497) * fix yolo predictor * fix predict * fix config (#1498) * Added support for AWS Batch. Added support for docker (#1474) * Added support for AWS Batch. Added support for docker * Fixed style. Removed code in commet. Updated README to include boto3 usage * Renamed template file. Removed gluon aws id * fix readme * fix * fix imports (#1499) * fix imports * fix * fix image classification * fix * fix width height * fix * fix batch size * fix * fix * none to empty string (#1502) * [WIP] Tinycoco (#1501) * Add minicoco * update jenkins for minicoco * fix * renamed mini to tiny * fix * fix * fix, add VOCDetectionTiny * fix * fix env * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test * test * test * clean up Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> * Fix rcnn target generator (#1508) * fix not used rcnn target generator * fix lint * fix * fix * add get flops (#1509) * warmup scheduler for video torch (#1510) 1. refine warmup logic, now using cfg.CONFIG.TRAIN.USE_WARMUP to control open warmup or not. 2. fix bug in gluoncv/torch/utils/lr_policy.py 3. change training configs 4. change ddp_train_pytorch and ddp_train_shortonly_pytorch, This is tested on ec2 machines * update torchvideo model zoo (#1513) * add ir-csn-152 into torchvideo model zoo (#1515) * Revise danet.py (#1507) The dropout layer should be placed before the classification layer. * icnet missing background class (#1518) * Add CSN model to torch video model zoo (#1517) * add ircsn * update model zoo * fix lint * Improve auto tasks (#1523) * use in-memory pickle instead of disk file * add feature extractor for image classification * add tests * fix * fix lint * more unittests * fix * fix * Added github action and workflow for sanity check * Removed container and actions. * Added unit test * Added build docs * Fix * Fix * Fix * Fix * Test * test * Update unit test * fix * fix * fix * fix * fix * fix * fix * subclass coco * fix * fix * fix * fix * rebase conflict * fix rebase * fix * fix * add aws authentication * add aws authentication * test * test * test * test * test * fix log * test * test * test * test * test * test * fix * rebase * add tiny motorbike * fix * model zoo * test * fix docker * parallel jobs * parallel jobs * fix * add torch * add torch * fix * fix * fix * full test * full test * test build docs * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test branch * test branch * fix * test * test * add comment Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Yi Zhu <yizhu59@gmail.com> Co-authored-by: Xinyu Li <lixinyu.arthur@outlook.com> Co-authored-by: Chunhui Liu <chunhuiliu960@gmail.com> Co-authored-by: YANYI ZHANG <yz593@scarletmail.rutgers.edu> Co-authored-by: BebDong <BebDong@users.noreply.github.com> Co-authored-by: Kuang Haofei <haofeikuang@gmail.com> * [WIP] Test PR (#3) * Added github action and workflow for sanity check * Removed container and actions. * Added unit test * Added build docs * Fix * Fix * Fix * Fix * Test * test * Update unit test * fix * fix * fix * fix * fix * fix * fix * subclass coco * fix * fix * fix * fix * rebase conflict * fix rebase * fix * fix * add aws authentication * add aws authentication * test * test * test * test * test * fix log * test * test * test * test * test * test * fix * rebase * add tiny motorbike * fix * model zoo * test * fix docker * parallel jobs * parallel jobs * fix * add torch * add torch * fix * fix * fix * full test * full test * test build docs * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * fix * test branch * test branch * fix * test * test * add comment * test * full test * full test * full test * test (#5) * test * fix * change to 12x * test comments * change to pr_target * [WIP] Full Test (#6) * full test * test model zoo * test model zoo * full test * full test * add auto * add gpu_test.sh * test efs modelzoo * test efs modelzoo * test efs modelzoo * test without auto * test repo name * test repo name * test repo name * test repo name * test sharemem * test pr only on yinweisu * test pr only on yinweisu * update repo name * test pr only on yinweisu (#9) * full test on pr only yinweisu (#10) * ready to pr * fix * change doc env name * add torch to env * add yacs to env * fix path Co-authored-by: Joshua Z. Zhang <cheungchih@gmail.com> Co-authored-by: Yi Zhu <yizhu59@gmail.com> Co-authored-by: Xinyu Li <lixinyu.arthur@outlook.com> Co-authored-by: Chunhui Liu <chunhuiliu960@gmail.com> Co-authored-by: YANYI ZHANG <yz593@scarletmail.rutgers.edu> Co-authored-by: BebDong <BebDong@users.noreply.github.com> Co-authored-by: Kuang Haofei <haofeikuang@gmail.com> | 02 December 2020, 22:21:56 UTC |
