File size: 926 Bytes
7cbb55b | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 | import torch
import time
from tensorly import tenalg
tenalg.set_backend("einsum")
from neuralop import get_model
# Read the configuration
from zencfg import make_config_from_cli
import sys
sys.path.insert(0, "../")
from config.test_config import TestConfig
config = make_config_from_cli(TestConfig)
print(config)
print(config.to_dict())
config = config.to_dict()
batch_size = config.data.batch_size
size = config.data.size
if torch.has_cuda:
device = "cuda"
else:
device = "cpu"
model = get_model(config)
model = model.to(device)
in_data = torch.randn(batch_size, 3, size, size).to(device)
print(model.__class__)
print(model)
t1 = time.time()
out = model(in_data)
t = time.time() - t1
print(f"Output of size {out.shape} in {t}.")
loss = out.sum()
loss.backward()
# Check for unused params
for name, param in model.named_parameters():
if param.grad is None:
print(f"Usused parameter {name}!")
|