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when i train my own model in epoch 100,it has error in loss so that stop training
/pytorch/aten/src/ATen/native/cuda/Loss.cu:115: operator(): block: [1237,0,0], thread: [25,0,0] Assertion input_val >= zero && input_val <= one failed.
/pytorch/aten/src/ATen/native/cuda/Loss.cu:115: operator(): block: [1254,0,0], thread: [15,0,0] Assertion input_val >= zero && input_val <= one failed.
it looks like in l1_loss.py line 11
if mask_sum.item() == 0:
how to fix it plz,thanks
The text was updated successfully, but these errors were encountered:
try edit learning rate params. It's because the dataset is difference and the params is not the best conditions, that's why the calculation between mask and pred coming out NAN value
when i train my own model in epoch 100,it has error in loss so that stop training
/pytorch/aten/src/ATen/native/cuda/Loss.cu:115: operator(): block: [1237,0,0], thread: [25,0,0] Assertion
input_val >= zero && input_val <= one
failed./pytorch/aten/src/ATen/native/cuda/Loss.cu:115: operator(): block: [1254,0,0], thread: [15,0,0] Assertion
input_val >= zero && input_val <= one
failed.it looks like in l1_loss.py line 11
if mask_sum.item() == 0:
how to fix it plz,thanks
The text was updated successfully, but these errors were encountered: