Closed ltbjwzttzz closed 10 months ago
改为relu
@Canyao45 请问改如何修改呢
@Canyao45 请问改如何修改呢
you may try here: https://github.com/primepake/wav2lip_288x288/blob/b351d584523707c055225444b4883d40409071a4/models/conv2.py#L12
@cookabc It works!!!Thank you so much.
运行: python color_syncnet_train.py --data_root ./data/preprocessed_root/original_data --checkpoint_dir ./lipsync_expert
报错: C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\cuda\Loss.cu:103: block: [0,0,0], thread: [36,0,0] Assertion
train(device, model, train_data_loader, test_data_loader, optimizer,
File "E:\AI\wav2lip_288x288\color_syncnet_train.py", line 162, in train
loss.backward()
File "C:\AIr\anaconda3\envs\wav2lip_288\lib\site-packages\torch_tensor.py", line 487, in backward
torch.autograd.backward(
File "C:\AIr\anaconda3\envs\wav2lip_288\lib\site-packages\torch\autograd__init__.py", line 200, in backward
Variable._execution_engine.run_backward( # Calls into the C++ engine to run the backward pass
RuntimeError: CUDA error: device-side assert triggered
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with
input_val >= zero && input_val <= one
failed. 0it [00:07, ?it/s] Traceback (most recent call last): File "E:\AI\wav2lip_288x288\color_syncnet_train.py", line 276, inTORCH_USE_CUDA_DSA
to enable device-side assertions.