wangzixiang
/
lerobot
mirror of https://github.com/huggingface/lerobot.git
1
0
Fork 0
Code Issues Packages Projects Releases Wiki Activity

Improve documentation on VAE encoder inputs (#215)

This commit is contained in:
Alexander Soare 2024-05-30 18:16:44 +01:00 committed by GitHub
parent 0b51a335bc
commit 57fb5fe8a6
No known key found for this signature in database
GPG Key ID: B5690EEEBB952194
1 changed files with 2 additions and 2 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

4
lerobot/common/policies/act/modeling_act.py
View File

@ -198,7 +198,7 @@ class ACT(nn.Module):
def __init__(self, config: ACTConfig):
super().__init__()
self.config = config
# BERT style VAE encoder with input [cls, *joint_space_configuration, *action_sequence].
# BERT style VAE encoder with input tokens [cls, robot_state, *action_sequence].
# The cls token forms parameters of the latent's distribution (like this [*means, *log_variances]).
if self.config.use_vae:
self.vae_encoder = ACTEncoder(config)
@ -214,7 +214,7 @@ class ACT(nn.Module):
self.latent_dim = config.latent_dim
# Projection layer from the VAE encoder's output to the latent distribution's parameter space.
self.vae_encoder_latent_output_proj = nn.Linear(config.dim_model, self.latent_dim * 2)
# Fixed sinusoidal positional embedding the whole input to the VAE encoder. Unsqueeze for batch
# Fixed sinusoidal positional embedding for the input to the VAE encoder. Unsqueeze for batch
# dimension.
self.register_buffer(
"vae_encoder_pos_enc",