track stringclasses 2
values | code stringclasses 2
values | time_s float64 2.59 27.3 | acc_threshold float64 94 96 |
|---|---|---|---|
94% |
import os
import sys
with open(sys.argv[0]) as f:
code = f.read()
import uuid
from math import ceil
import torch
from torch import nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as T
torch.backends.cudnn.benchmark = True
#############################################
# ... | 2.59 | 94 |
96% |
import os
import sys
import uuid
from math import ceil
import torch
from torch import nn
import torch.nn.functional as F
import torchvision
import torchvision.transforms as T
torch.backends.cudnn.benchmark = True
hyp = {
'opt': {
'train_epochs': 45.0,
'batch_size': 1024,
'batch_size_mask... | 27.3 | 96 |
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