Wonder1905

"The usage quota was exceeded: type=metrics_storage"

5

Hi, after ClearML working great for two weeks I'm getting the following error: `clearml.log - WARNING - failed logging task to backend (2 lines, )` And: `2022-03-27 10:48:02,642 - clearml.Metrics...

Extracting the graph

3

Since it's tf2, it's much harder for me to extract the forward graph (also the backward), can you help us with that?

Changing nvcc path , error when runninf setup.py

1

Hi I'm trying to install setup.py and I'm getting: "error: command '/usr/local/cuda/bin/nvcc' failed with exit status 1" I have a valid path :/usr/local/cuda-10.1/bin/nvcc, but it always picks the path shown...

AttributeError: module 'neuralnet_pytorch.metrics' has no attribute 'emd_loss'

2

Hi I'm trying to use emd loss and I'm getting: `AttributeError: module 'neuralnet_pytorch.metrics' has no attribute 'emd_loss' ` My integration is simple: `import neuralnet_pytorch as nnt cost = nnt.metrics.emd_loss(x,y) `...

eyeglasses boundary changing gender

7

Hi, first thanks for sharing your work. I'm running using: `python3.6 edit.py -m stylegan_celebahq -b boundaries/stylegan_celebahq_eyeglasses_boundary.npy --n 4 --o results/sg_eg_celebhq` But I'm getting a change in gender, and not gallasses...

Textdiffusers : TypeError: get_down_block() got an unexpected keyword argument 'attn_num_head_channels'

3

Hi, Im trying to run textdiffusers, followed all instructions. The problem arises when using: ``` accelerate launch train.py \ --train_batch_size=24 \ --gradient_accumulation_steps=4 \ --gradient_checkpointing \ --mixed_precision="fp16" \ --num_train_epochs=2 \ --learning_rate=1e-5...

After following all steps still get huge missmatch in loading the checkpoint

2

Im running with the following command: `python inference.py --seed 123 --mode 'i2v' --ckpt_path checkpoints/i2v_512_v1/model.ckpt --config configs/inference_i2v_512_v1.0.yaml --savedir results/i2v_512_test --n_samples 1 --bs 1 --height 320 --width 512 --unconditional_guidance_scale 12.0 --ddim_steps 50...

Hi, is there a possibility to adjust the code such that downloading the datasets is not necessary but streaming HuggingFace datasets. Even high-level guidelines would be nice!

### System Info ```Shell - `lerobot` version: 0.1.0 - Platform: Linux-6.8.0-52-generic-x86_64-with-glibc2.35 - Python version: 3.10.16 - Huggingface_hub version: 0.29.3 - Dataset version: 3.3.2 - Numpy version: 2.1.3 - PyTorch version...