vak.common.validators

Functions for input validation

Functions

column_or_1d(y[, warn])	ravel column or 1d numpy array, else raise an error
have_same_dtype(t1, t2[, name1, name2])	Validates that two tensors, t1 and t2, have the same dtype.
have_same_ndim(t1, t2[, name1, name2])	Validates that two tensors, t1 and t2, have the same :prop:`torch.Tensor.ndim`.
is_1d_or_2d_tensor(y[, name])	Validates that y is a one-dimension or two-dimensional torch.Tensor.
is_1d_tensor(t[, name])	Validate that input is a one-dimensional tensor
is_2d_tensor(t[, name])	Validate that input is a two-dimensional tensor
is_a_directory(path)	check if given path is a directory
is_a_file(path)	check if given path is a file
is_non_negative(boundary_times[, name])	Validates that y is a torch.Tensor with all non-negative (>=0.0) values.
is_strictly_increasing(boundary_times[, name])	Validates that y is a torch.Tensor with strictly increasing values.
row_or_1d(y[, warn])	ravel row or 1d numpy array, else raise an error