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WIP: Torch upgrade. Aux loss. Vision backbone networks. #304

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WIP: Torch upgrade. Aux loss. Vision backbone networks. #304

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@ViktorM ViktorM commented Sep 9, 2024

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ViktorM and others added 30 commits May 21, 2024 14:12
@ViktorM
Updated to torch 2. Compile without max-autotune is working.
c41212b
@ViktorM
Fixed minibatch_per_env bug.
6a91bd3
@ViktorM
Merge from master.
46c8c48
@ViktorM
Merge branch 'master' into VM/torch_upgrade
ae043b9
@ViktorM
WIP: adding proprio observations to resnet network.
1e58c1e
@ViktorM
Added pretrained resnet e2e network. Fixes.
80f43f7
@ViktorM
Clean up.
7ea73fa
@ViktorM
Temporary moved vision_actor_critic back to network_builder.
2c285bd
@ViktorM
E2e training is working with Impala network and proprieception.
ec4e4f1
@ViktorM
Fixed input dictinary observation shapes for resnet network. Fixed amp.
04d653a
@ViktorM
Added support for more visual backbones.
637d2bc
@ViktorM
WIP: network with different vision backbones.
0dc5b43
@ViktorM
Vision backbone improvements.
eeae30e
@ViktorM
Resnet18 works!
006fe2c
@ViktorM
Added convnext and vit backbones support. Added preprocessing.
61d1bc4
@ViktorM
Fixed observation dict.
c1eeeba
@ViktorM
Pacman training.
3531fb8
@ViktorM
Refactored vision backbone networks. Maniskill first pass.
d073f4d
@ViktorM
Fixed Maniskill state-based training.
ead882c
@ViktorM
Fixed Maniskill resets. Push and pick configs.
8be57aa
@ViktorM
Maniskill RGB and Depth only observations. Added resnet and impala cu…
d21fd8f 
…be pickup configs.
@ViktorM
Fix.
dc4e279
@ViktorM
WIP: norm layer with Impala for pick cube vision training.
a78caac
@DenSumy
added test aux_loss
2fe6c5f
@ViktorM
Layer norm for vision model. Better maniskill training configs.
8b274d1
@ViktorM
Merge with aux_loss branch.
00cbd3d
@ViktorM
Aux loss.
4d29423
@ViktorM
Merge from master.
b3467f2
@ViktorM
Auxilarry losses visual training WIP. Maniskill env switched to using…
80ee4df 
… uint8 for RGBD envs.
@ViktorM
Aux loss is now optional. Confif fix.
39e0ff8
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2 participants
@ViktorM @DenSumy