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-rw-r--r--utils/configuration.py28
1 files changed, 14 insertions, 14 deletions
diff --git a/utils/configuration.py b/utils/configuration.py
index 20aec76..cf667ed 100644
--- a/utils/configuration.py
+++ b/utils/configuration.py
@@ -1,4 +1,4 @@
-from typing import TypedDict, Optional, Union
+from typing import TypedDict, Optional, Union, Tuple, Dict
from utils.dataset import ClipClasses, ClipConditions, ClipViews
@@ -17,39 +17,39 @@ class DatasetConfiguration(TypedDict):
num_sampled_frames: int
truncate_threshold: int
discard_threshold: int
- selector: Optional[dict[str, Union[ClipClasses, ClipConditions, ClipViews]]]
+ selector: Optional[Dict[str, Union[ClipClasses, ClipConditions, ClipViews]]]
num_input_channels: int
- frame_size: tuple[int, int]
+ frame_size: Tuple[int, int]
cache_on: bool
class DataloaderConfiguration(TypedDict):
- batch_size: tuple[int, int]
+ batch_size: Tuple[int, int]
num_workers: int
pin_memory: bool
class ModelHPConfiguration(TypedDict):
ae_feature_channels: int
- f_a_c_p_dims: tuple[int, int, int]
- hpm_scales: tuple[int, ...]
+ f_a_c_p_dims: Tuple[int, int, int]
+ hpm_scales: Tuple[int, ...]
hpm_use_1x1conv: bool
hpm_use_avg_pool: bool
hpm_use_max_pool: bool
fpfe_feature_channels: int
- fpfe_kernel_sizes: tuple[tuple, ...]
- fpfe_paddings: tuple[tuple, ...]
- fpfe_halving: tuple[int, ...]
+ fpfe_kernel_sizes: Tuple[Tuple, ...]
+ fpfe_paddings: Tuple[Tuple, ...]
+ fpfe_halving: Tuple[int, ...]
tfa_squeeze_ratio: int
tfa_num_parts: int
embedding_dims: int
triplet_is_hard: bool
- triplet_margins: tuple[float, float]
+ triplet_margins: Tuple[float, float]
class SubOptimizerHPConfiguration(TypedDict):
lr: int
- betas: tuple[float, float]
+ betas: Tuple[float, float]
eps: float
weight_decay: float
amsgrad: bool
@@ -58,7 +58,7 @@ class SubOptimizerHPConfiguration(TypedDict):
class OptimizerHPConfiguration(TypedDict):
start_iter: int
lr: int
- betas: tuple[float, float]
+ betas: Tuple[float, float]
eps: float
weight_decay: float
amsgrad: bool
@@ -83,8 +83,8 @@ class ModelConfiguration(TypedDict):
name: str
restore_iter: int
total_iter: int
- restore_iters: tuple[int, ...]
- total_iters: tuple[int, ...]
+ restore_iters: Tuple[int, ...]
+ total_iters: Tuple[int, ...]
class Configuration(TypedDict):