gpleiss/efficient_densenet_pytorch issues and pull requests

#78 - Fix syntax error.

Pull Request - State: closed - Opened by irryden over 1 year ago

#78 - Fix syntax error.

Pull Request - State: closed - Opened by irryden over 1 year ago

#77 - Excuse me, what is the cause of this problem?

Issue - State: open - Opened by SzLSzC over 1 year ago - 1 comment

#77 - Excuse me, what is the cause of this problem?

Issue - State: open - Opened by SzLSzC over 1 year ago - 1 comment

#76 - Question about the place of checkpoint (shared memory allocation)

Issue - State: closed - Opened by mert-kurttutan about 2 years ago - 1 comment

#76 - Question about the place of checkpoint (shared memory allocation)

Issue - State: closed - Opened by mert-kurttutan about 2 years ago - 1 comment

#75 - will the inference memory reduced too?

Issue - State: open - Opened by emergencyd about 2 years ago - 1 comment

#75 - will the inference memory reduced too?

Issue - State: open - Opened by emergencyd about 2 years ago - 1 comment

#74 - Correct normalization values for CIFAR-10

Pull Request - State: closed - Opened by abduallahmohamed over 3 years ago

#74 - Correct normalization values for CIFAR-10

Pull Request - State: closed - Opened by abduallahmohamed over 3 years ago

#73 - The BN running mean&var with torch.utils.checkpoint.checkpoint

Issue - State: closed - Opened by ljn114514 almost 4 years ago - 2 comments

#73 - The BN running mean&var with torch.utils.checkpoint.checkpoint

Issue - State: closed - Opened by ljn114514 almost 4 years ago - 2 comments

#72 - The function received no value for the required argument: data

Issue - State: closed - Opened by June-Luo about 4 years ago - 2 comments

#72 - The function received no value for the required argument: data

Issue - State: closed - Opened by June-Luo about 4 years ago - 2 comments

#71 - AttributeError: module 'fire' has no attribute 'Fire'

Issue - State: open - Opened by MRLQ-Q about 4 years ago - 8 comments

#71 - AttributeError: module 'fire' has no attribute 'Fire'

Issue - State: open - Opened by MRLQ-Q about 4 years ago - 8 comments

#70 - How can I apply this to my own model?

Issue - State: open - Opened by CXMANDTXW about 4 years ago - 1 comment

#70 - How can I apply this to my own model?

Issue - State: open - Opened by CXMANDTXW about 4 years ago - 1 comment

#69 - test error interpretation

Issue - State: closed - Opened by abduallahmohamed over 4 years ago - 1 comment

#69 - test error interpretation

Issue - State: closed - Opened by abduallahmohamed over 4 years ago - 1 comment

#68 - Is the normalizatin values for CIFAR-10 correct?

Issue - State: closed - Opened by abduallahmohamed over 4 years ago - 1 comment

#68 - Is the normalizatin values for CIFAR-10 correct?

Issue - State: closed - Opened by abduallahmohamed over 4 years ago - 1 comment

#67 - Fixed number of parameters for DenseNet-BC

Pull Request - State: closed - Opened by vinhtq115 over 4 years ago

#67 - Fixed number of parameters for DenseNet-BC

Pull Request - State: closed - Opened by vinhtq115 over 4 years ago

#66 - Is this really memory efficient?

Issue - State: open - Opened by leonardishere over 4 years ago - 1 comment

#66 - Is this really memory efficient?

Issue - State: open - Opened by leonardishere over 4 years ago - 1 comment

#65 - Is it possible to provide ImageNet pre-trained models？

Issue - State: closed - Opened by zc3945 over 4 years ago - 2 comments

#65 - Is it possible to provide ImageNet pre-trained models？

Issue - State: closed - Opened by zc3945 over 4 years ago - 2 comments

#64 - use adaptive_avg_pool2d instead of avg_pool2d

Pull Request - State: closed - Opened by aneeshnema over 4 years ago - 1 comment

#64 - use adaptive_avg_pool2d instead of avg_pool2d

Pull Request - State: closed - Opened by aneeshnema over 4 years ago - 1 comment

#63 - 网络内存消耗？

Issue - State: closed - Opened by long2double almost 5 years ago

#63 - 网络内存消耗？

Issue - State: closed - Opened by long2double almost 5 years ago

#62 - What is bn_size?

Issue - State: closed - Opened by w32zhong almost 5 years ago - 3 comments

#62 - What is bn_size?

Issue - State: closed - Opened by w32zhong almost 5 years ago - 3 comments

#61 - dropout not in 3x3 convolutional layer

Issue - State: open - Opened by lizhenstat about 5 years ago

#61 - dropout not in 3x3 convolutional layer

Issue - State: open - Opened by lizhenstat about 5 years ago

#60 - Question: why use bn_function on 1x1 conv, not on 3x3 conv

Issue - State: closed - Opened by lizhenstat about 5 years ago - 1 comment

#60 - Question: why use bn_function on 1x1 conv, not on 3x3 conv

Issue - State: closed - Opened by lizhenstat about 5 years ago - 1 comment

#59 - How about the version of the torchvision, project killer and pyhon-fire?

Issue - State: closed - Opened by jwnirvana about 5 years ago - 1 comment

#59 - How about the version of the torchvision, project killer and pyhon-fire?

Issue - State: closed - Opened by jwnirvana about 5 years ago - 1 comment

#58 - Unable to run demo.

Issue - State: closed - Opened by frost26k about 5 years ago

#57 - Fixed a bug in demo.py.

Pull Request - State: closed - Opened by zyh911 over 5 years ago - 1 comment

#56 - New adaptive pooling layer.

Issue - State: closed - Opened by CielAl over 5 years ago - 1 comment
Labels: enhancement

#55 - Inference time issue

Issue - State: closed - Opened by youngwanLEE over 5 years ago - 1 comment

#54 - Can we test using the trained model.

Issue - State: closed - Opened by TJstory over 5 years ago - 1 comment

#53 - Should there be a global average pooling layer before the classifier?

Issue - State: closed - Opened by yangzy-yzy over 5 years ago

#52 - What is the minimum GPU memory required? Still breaks for me in a single GPU

Issue - State: open - Opened by PabloRR100 over 5 years ago - 1 comment

#51 - Validation dataset is being augmented as well

Issue - State: closed - Opened by garyfanhku over 5 years ago - 1 comment

#50 - does this code support pytorch1.0 and the jit feature for c++ online deployment?

Issue - State: open - Opened by mmxuan18 almost 6 years ago - 3 comments

#49 - Create LICENSE

Pull Request - State: closed - Opened by gpleiss almost 6 years ago

#48 - Could you add a License?

Issue - State: closed - Opened by csrhddlam almost 6 years ago - 1 comment

#47 - Segmentation fault (core dumped) error for multiple GPUs

Issue - State: open - Opened by theonegis almost 6 years ago - 6 comments

#46 - Number of parameters doesn't match with naïve implementation

Issue - State: closed - Opened by PabloRR100 almost 6 years ago - 3 comments

#45 - Is there any option to run ImageNet in this demo?

Issue - State: closed - Opened by jugol almost 6 years ago - 1 comment

#44 - torch.utils.checkpoint cost too much memory than previous 0.3 version

Issue - State: closed - Opened by mingminzhen about 6 years ago - 1 comment

#43 - Softmax layer is missing in the code.

Issue - State: closed - Opened by srinidhiPY about 6 years ago - 2 comments

#42 - Can't not train when using a 256*256 dataset

Issue - State: closed - Opened by nessieyang about 6 years ago - 2 comments

#41 - [Trivial] Fix a typo in demo.py doc string.

Pull Request - State: closed - Opened by grapeot about 6 years ago - 1 comment

#40 - pretrained densenet169 weights

Issue - State: open - Opened by Kexiii over 6 years ago - 8 comments

#39 - Fix multigpu issue: denselayer's input and weights are not in same gpu

Pull Request - State: closed - Opened by ZhengRui over 6 years ago - 1 comment

#38 - FP become slower after upgrade to 0.4

Issue - State: closed - Opened by DesertsP over 6 years ago - 5 comments

#37 - not worked in python3 environment

Issue - State: closed - Opened by tengshaofeng over 6 years ago - 3 comments

#36 - MultiGPU efficient densenets are slow

Issue - State: open - Opened by wandering007 over 6 years ago - 14 comments

#35 - Pytorch 0.4 compatibility (uses checkpointing)

Pull Request - State: closed - Opened by gpleiss over 6 years ago - 2 comments

#34 - The final test accuracy

Issue - State: closed - Opened by ustctf-zz over 6 years ago - 6 comments

#33 - Test failed on PyTorch 0.3.1 with CUDA 9.0

Issue - State: closed - Opened by DesertsP over 6 years ago - 3 comments

#32 - Compatibility with PyTorch 0.4

Issue - State: closed - Opened by seyiqi over 6 years ago - 11 comments
Labels: compatibility

#31 - Multi-GPU model in pytorch0.3 consumes much more memory than pytorch0.1 version

Issue - State: closed - Opened by ZhengRui over 6 years ago - 8 comments
Labels: bug

#30 - Input data size

Issue - State: closed - Opened by g5996706 over 6 years ago - 3 comments

#29 - Update densenet_efficient.py

Pull Request - State: closed - Opened by wandering007 over 6 years ago - 8 comments

#28 - PyTorch 0.3 compatibility

Pull Request - State: closed - Opened by gpleiss over 6 years ago - 7 comments

#27 - Pre-trained weight

Issue - State: closed - Opened by soon-will over 6 years ago - 1 comment

#26 - storage resize_ function

Issue - State: closed - Opened by mingminzhen over 6 years ago - 4 comments

#25 - how implement memory efficient DenseNet using Tensorflow?

Issue - State: closed - Opened by phybrain over 6 years ago - 5 comments

#24 - I meet this problem when I run the demo.py. How to solve it?

Issue - State: closed - Opened by yyjFish almost 7 years ago - 9 comments

#23 - Pretrained models

Issue - State: closed - Opened by EliasVansteenkiste almost 7 years ago - 2 comments
Labels: easy-to-fix, call-for-contribution

#22 - Could it be MORE memory efficient?

Issue - State: closed - Opened by zhiqiangdon almost 7 years ago - 4 comments

#21 - efficient seams not so efficient.

Issue - State: closed - Opened by tengshaofeng almost 7 years ago - 2 comments

#20 - Why the Error is very high?

Issue - State: closed - Opened by tryerrorman about 7 years ago - 3 comments

#19 - Added densenet121 structure; Made single/multi gpu models having same names

Pull Request - State: closed - Opened by ZhengRui about 7 years ago - 1 comment

#18 - Fix optimizer bug: weight decay missing.

Pull Request - State: closed - Opened by JiahuiYu about 7 years ago - 1 comment

#17 - `DenseNetEfficientMult` not giving same forwarding result as `DenseNetEfficient`

Issue - State: closed - Opened by ZhengRui about 7 years ago - 3 comments

#16 - Cannot reproduce the cifar100 results using models/densenet.py (not efficient)

Issue - State: closed - Opened by wandering007 about 7 years ago - 2 comments

#15 - Is there any memory-efficient tensorflow Implementation？

Issue - State: closed - Opened by feynman233 about 7 years ago - 2 comments

#14 - Efficient Conv3d Class

Issue - State: closed - Opened by ahkarami about 7 years ago - 2 comments

#13 - Any Pre-trained models on ImageNet

Issue - State: closed - Opened by zhanghang1989 about 7 years ago - 6 comments

#12 - error rate compute in demo.py

Issue - State: closed - Opened by ghost about 7 years ago - 4 comments

#11 - test failed on v0.2

Issue - State: closed - Opened by yifita about 7 years ago - 18 comments
Labels: call-for-contribution

GitHub / gpleiss/efficient_densenet_pytorch issues and pull requests