def test_concatenate_axis_1_unnamed():
    A = npr.randn(5, 6, 4)
    B = npr.randn(5, 6, 4)
    def fun(x): return to_scalar(np.concatenate((B, x, B), 1))
    d_fun = lambda x : to_scalar(grad(fun)(x))
    check_grads(fun, A)
    check_grads(d_fun, A)
Tests whether you can specify the axis without saying "axis=1".
dataset/ETHPy150Open HIPS/autograd/tests/test_numpy.py/test_concatenate_axis_1_unnamed