[HIL-SERL]Remove overstrict pre-commit modifications (#1028)

This commit is contained in:
Adil Zouitine
2025-04-24 13:48:52 +02:00
committed by GitHub
parent 671ac3411f
commit c58b504a9e
47 changed files with 163 additions and 757 deletions

View File

@@ -32,10 +32,7 @@ import torch
from huggingface_hub import HfApi
import lerobot
from lerobot.common.datasets.lerobot_dataset import (
LeRobotDataset,
LeRobotDatasetMetadata,
)
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata
# We ported a number of existing datasets ourselves, use this to see the list:
print("List of available datasets:")

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@@ -22,10 +22,7 @@ from pathlib import Path
import torch
from lerobot.common.datasets.lerobot_dataset import (
LeRobotDataset,
LeRobotDatasetMetadata,
)
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata
from lerobot.common.datasets.utils import dataset_to_policy_features
from lerobot.common.policies.diffusion.configuration_diffusion import DiffusionConfig
from lerobot.common.policies.diffusion.modeling_diffusion import DiffusionPolicy
@@ -80,24 +77,7 @@ def main():
# Load the previous action (-0.1), the next action to be executed (0.0),
# and 14 future actions with a 0.1 seconds spacing. All these actions will be
# used to supervise the policy.
"action": [
-0.1,
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0,
1.1,
1.2,
1.3,
1.4,
],
"action": [-0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4],
}
# We can then instantiate the dataset with these delta_timestamps configuration.

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@@ -26,10 +26,7 @@ import math
import torch
from lerobot.common.datasets.lerobot_dataset import (
LeRobotDataset,
LeRobotDatasetMetadata,
)
from lerobot.common.datasets.lerobot_dataset import LeRobotDataset, LeRobotDatasetMetadata
from lerobot.common.policies.diffusion.modeling_diffusion import DiffusionPolicy
@@ -54,24 +51,7 @@ def main():
# Load the previous action (-0.1), the next action to be executed (0.0),
# and 14 future actions with a 0.1 seconds spacing. All these actions will be
# used to calculate the loss.
"action": [
-0.1,
0.0,
0.1,
0.2,
0.3,
0.4,
0.5,
0.6,
0.7,
0.8,
0.9,
1.0,
1.1,
1.2,
1.3,
1.4,
],
"action": [-0.1, 0.0, 0.1, 0.2, 0.3, 0.4, 0.5, 0.6, 0.7, 0.8, 0.9, 1.0, 1.1, 1.2, 1.3, 1.4],
}
# Load the last 10% of episodes of the dataset as a validation set.