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Bug mlagents-learn not responding due to torch error. What can I do?

Discussion in 'ML-Agents' started by sauraa, Oct 4, 2022.

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How can I fix it

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  1. sauraa

    sauraa

    Joined:
    Oct 3, 2022
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    1
    C:\Users\Usuario\Desktop\VirtualEnviroment\ProjectEnv\lib\site-packages\mlagents\trainers\torch\networks.py:91: 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.)
    enc.update_normalization(torch.as_tensor(vec_input))
    C:\Users\Usuario\Desktop\VirtualEnviroment\ProjectEnv\lib\site-packages\mlagents\trainers\torch\utils.py:320: UserWarning: The use of `x.T` on tensors of dimension other than 2 to reverse their shape is deprecated and it will throw an error in a future release. Consider `x.mT` to transpose batches of matricesor `x.permute(*torch.arange(x.ndim - 1, -1, -1))` to reverse the dimensions of a tensor. (Triggered internally at C:\actions-runner\_work\pytorch\pytorch\builder\windows\pytorch\aten\src\ATen\native\TensorShape.cpp:2985.)
    return (tensor.T * masks).sum() / torch.clamp(
    [WARNING] Restarting worker[0] after 'Communicator has exited.'
     
    sauraa, Oct 4, 2022
    #1