Upload folder using huggingface_hub
Browse files- model.py +0 -2
- modeling_act_estimator.py +1 -2
model.py
CHANGED
@@ -6,8 +6,6 @@ import torch.nn.functional as F
|
|
6 |
from torch import Tensor, nn
|
7 |
from torch.nn import TransformerEncoder, TransformerEncoderLayer
|
8 |
|
9 |
-
from transformers import AutoModel, PreTrainedModel
|
10 |
-
|
11 |
|
12 |
class MaxPool3dSamePadding(nn.MaxPool3d):
|
13 |
def compute_pad(self, dim, s):
|
|
|
6 |
from torch import Tensor, nn
|
7 |
from torch.nn import TransformerEncoder, TransformerEncoderLayer
|
8 |
|
|
|
|
|
9 |
|
10 |
class MaxPool3dSamePadding(nn.MaxPool3d):
|
11 |
def compute_pad(self, dim, s):
|
modeling_act_estimator.py
CHANGED
@@ -1,9 +1,8 @@
|
|
1 |
-
import torch
|
2 |
from torch import Tensor
|
3 |
from transformers import PreTrainedModel
|
4 |
|
5 |
-
from .model import VideoActionEstimator
|
6 |
from .configuration_act_estimator import ActEstimatorConfig
|
|
|
7 |
|
8 |
|
9 |
class ActEstimator(PreTrainedModel):
|
|
|
|
|
1 |
from torch import Tensor
|
2 |
from transformers import PreTrainedModel
|
3 |
|
|
|
4 |
from .configuration_act_estimator import ActEstimatorConfig
|
5 |
+
from .model import VideoActionEstimator
|
6 |
|
7 |
|
8 |
class ActEstimator(PreTrainedModel):
|