0ac261a3d12677483c47572aae57ba877992ea66,demo.py,,,#,7

Before Change

from datetime import datetime
from tensorboard import SummaryWriter
resnet18 = models.resnet18(True)
writer = SummaryWriter("runs/"+datetime.now().strftime("%B%d  %H:%M:%S"))
sample_rate = 44100
freqs = [262, 294, 330, 349, 392, 440, 440, 440, 440, 440, 440]
for n_iter in range(100):
    M_global = torch.rand(1) // value to keep

After Change

import torchvision.models as models
from tensorboard import SummaryWriter
resnet18 = models.resnet18(False)
writer = SummaryWriter()
sample_rate = 44100
freqs = [262, 294, 330, 349, 392, 440, 440, 440, 440, 440, 440]
for n_iter in range(100):
    M_global = torch.rand(1) // value to keep

Instances