einx.errors.RankError

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einx.errors.RankError#

exception einx.errors.RankError(invocation, message, pos=None, constraints=None)#

This error occurs if the ranks (i.e. number of dimensions) of all expressions cannot be determined under the given input tensor shapes and additional constraints.

Example

>>> x = np.random.rand(3, 4)
>>> einx.id("a b c -> a c b", x)
einx.errors.RankError: The number of tensor dimensions and axes in the expression does not match.
The operation was called with the following arguments:
- Positional argument #1: Tensor with shape (3, 4)
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