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fix: typo

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Former-commit-id: 0336f7e3a3809f6501dec4ca11a9ae1f3be44f29 [formerly 1bd5e48616d48d52e13067ff505a94162acf9e6f]
Former-commit-id: 471e9d11a26b14f6b878f9735d3e9c40eb10161b
This commit is contained in:
Laurent Fainsin 2022-06-30 14:43:41 +02:00
parent 24df16a612
commit 3056ebc498
1 changed files with 4 additions and 4 deletions
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8
src/train.py
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@ -43,7 +43,7 @@ def main():
) )
# create device # create device
device = torch.device(wandb.config.device) device = torch.device(wandb.config.DEVICE)
# enable cudnn benchmarking # enable cudnn benchmarking
torch.backends.cudnn.benchmark = wandb.config.BENCHMARK torch.backends.cudnn.benchmark = wandb.config.BENCHMARK
@ -112,7 +112,7 @@ def main():
# save model.onxx # save model.onxx
dummy_input = torch.randn( dummy_input = torch.randn(
1, wandb.config.n_channels, wandb.config.IMG_SIZE, wandb.config.IMG_SIZE, requires_grad=True 1, wandb.config.N_CHANNELS, wandb.config.IMG_SIZE, wandb.config.IMG_SIZE, requires_grad=True
).to(device) ).to(device)
torch.onnx.export(net, dummy_input, "model.onnx") torch.onnx.export(net, dummy_input, "model.onnx")
artifact = wandb.Artifact("onnx", type="model") artifact = wandb.Artifact("onnx", type="model")
@ -132,8 +132,8 @@ def main():
# Training round # Training round
for step, (images, true_masks) in enumerate(train_loader): for step, (images, true_masks) in enumerate(train_loader):
assert images.shape[1] == net.N_CHANNELS, ( assert images.shape[1] == net.n_channels, (
f"Network has been defined with {net.N_CHANNELS} input channels, " f"Network has been defined with {net.n_channels} input channels, "
f"but loaded images have {images.shape[1]} channels. Please check that " f"but loaded images have {images.shape[1]} channels. Please check that "
"the images are loaded correctly." "the images are loaded correctly."
) )