按照视频的方法换了作者的数据集之后，再运行报错

[VictorSlave]

错误信息如下： E:\aiSound\MockingBird\MockingBird-main\synthesizer\synthesizer_dataset.py:84: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\utils\tensor_new.cpp:204.) embeds = torch.tensor(embeds) E:\aiSound\MockingBird\MockingBird-main\synthesizer\synthesizer_dataset.py:84: UserWarning: Creating a tensor from a list of numpy.ndarrays is extremely slow. Please consider converting the list to a single numpy.ndarray with numpy.array() before converting to a tensor. (Triggered internally at C:\actions-runner_work\pytorch\pytorch\builder\windows\pytorch\torch\csrc\utils\tensor_new.cpp:204.) embeds = torch.tensor(embeds) C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\nn\functional.py:1949: UserWarning: nn.functional.tanh is deprecated. Use torch.tanh instead. warnings.warn("nn.functional.tanh is deprecated. Use torch.tanh instead.") Traceback (most recent call last): File "E:\aiSound\MockingBird\MockingBird-main\synthesizer_train.py", line 37, in train(**vars(args)) File "E:\aiSound\MockingBird\MockingBird-main\synthesizer\train.py", line 208, in train optimizer.step() File "C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\optimizer.py", line 113, in wrapper return func(*args, **kwargs) File "C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\autograd\grad_mode.py", line 27, in decorate_context return func(*args, **kwargs) File "C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\adam.py", line 157, in step adam(params_with_grad, File "C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\adam.py", line 213, in adam func(params, File "C:\Users\86186\AppData\Local\Programs\Python\Python39\lib\site-packages\torch\optim\adam.py", line 262, in single_tensor_adam exp_avg.mul(beta1).add_(grad, alpha=1 - beta1) RuntimeError: The size of tensor a (1024) must match the size of tensor b (3) at non-singleton dimension 3

[zhuhero2012]

同问

[zhangmm2]

同问