In this view x.view(-1) is a weird flatten layer but missing the squeeze (i.e. adding a dimension of 1). Adding this squeeze or removing it is usually important for the code to actually run.
A view is a stored sql text of a select query. Parameters are out of the discussion. When your stored query returns the column where you want to filter with, you can do it in the calling query. E.g. "SELECT * FROM v_emp WHERE emp_id = ?"
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Simply put, torch.Tensor.view() which is inspired by numpy.ndarray.reshape() or numpy.reshape(), creates a new view of the tensor, as long as the new shape is compatible with the shape of the original tensor.