[ghj]

I tried giving it a problem that required matrix power and it couldn't solve it. (this was a somewhat real task where I couldn't google how to raise a matrix to a power in tf).

    # A dict mapping input variable names to input tensors.
    inputs = {
        'matrix': [[1, 1], [1, 0]],
        'vector': [[1], [0]],
    }

    # The corresponding output tensor.
    output = [[13],
              [8]]

    # A list of relevant scalar constants, if any.
    constants = [6]

    # An English description of the tensor manipulation.
    description = 'Whatever the equivalent of numpy.linalg.matrix_power is in tf. Calculates fibonacci.'

I was hoping it would at least return

    matrix @ matrix @ matrix @ matrix @ matrix @ matrix @ vector

But it just didn't find anything. (the constant for the exponent is large because smaller numbers give nonsense results)