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address style issue and docstring

This commit is contained in:
Akshay Kashyap 2024-05-08 10:16:45 -04:00
parent aea8312881
commit fe6899b91f
2 changed files with 2 additions and 1 deletions
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1
lerobot/common/policies/diffusion/configuration_diffusion.py
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@ -51,6 +51,7 @@ class DiffusionConfig:
use_film_scale_modulation: FiLM (https://arxiv.org/abs/1709.07871) is used for the Unet conditioning. use_film_scale_modulation: FiLM (https://arxiv.org/abs/1709.07871) is used for the Unet conditioning.
Bias modulation is used be default, while this parameter indicates whether to also use scale Bias modulation is used be default, while this parameter indicates whether to also use scale
modulation. modulation.
noise_scheduler_type: Name of the noise scheduler to use. Supported options: ["DDPM", "DDIM"].
num_train_timesteps: Number of diffusion steps for the forward diffusion schedule. num_train_timesteps: Number of diffusion steps for the forward diffusion schedule.
beta_schedule: Name of the diffusion beta schedule as per DDPMScheduler from Hugging Face diffusers. beta_schedule: Name of the diffusion beta schedule as per DDPMScheduler from Hugging Face diffusers.
beta_start: Beta value for the first forward-diffusion step. beta_start: Beta value for the first forward-diffusion step.

2
lerobot/common/policies/diffusion/modeling_diffusion.py
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@ -13,8 +13,8 @@ import einops
import torch import torch
import torch.nn.functional as F # noqa: N812 import torch.nn.functional as F # noqa: N812
import torchvision import torchvision
from diffusers.schedulers.scheduling_ddpm import DDPMScheduler
from diffusers.schedulers.scheduling_ddim import DDIMScheduler from diffusers.schedulers.scheduling_ddim import DDIMScheduler
from diffusers.schedulers.scheduling_ddpm import DDPMScheduler
from huggingface_hub import PyTorchModelHubMixin from huggingface_hub import PyTorchModelHubMixin
from robomimic.models.base_nets import SpatialSoftmax from robomimic.models.base_nets import SpatialSoftmax
from torch import Tensor, nn from torch import Tensor, nn