expected Tensor as element 1 in argument 0, but got numpy.ndarraySHISM

This error message typically occurs when you are trying to pass a numpy array to a function that expects a tensor as input.

A tensor is a multi-dimensional array used in deep learning frameworks such as TensorFlow and PyTorch, whereas a numpy array is a fundamental data structure in Python used for numerical operations.

To resolve this error, you can convert your numpy array to a tensor using the appropriate function provided by the deep learning framework you are using. For example, in TensorFlow, you can use the `tf.convert_to_tensor()` function, while in PyTorch, you can use the `torch.from_numpy()` function.

Alternatively, you can check if the function you are passing the numpy array to accepts numpy arrays as input, or if there is a separate function or method for numpy arrays.