How should I get a Vector from a Tensor slice in Eigen 3?

I'm tearing my hair out trying to access a column of data in an Eigen::Tensor<double, 3> as a Eigen::VectorXd.

Slicing, as according to this answer, works fine to get me the column I want. But I can't then assign that to a vector.

What I have:

Eigen::Tensor<double, 3> my_tens(2, 3, 4);
my_tens.setRandom();

Eigen::array<Eigen::Index, 3> dims = my_tens.dimensions();

Eigen::array<Eigen::Index, 3> offsets = {0, 1, 0};
Eigen::array<Eigen::Index, 3> extents = {dims[0], 1, 1};

// This works perfectly, and is exactly the column I want:
std::cout << my_tens.slice(offsets, extents);

// ... and I want it as a VectorXd, so:
Eigen::VectorXd my_vec(dims[0]);

The following things I've tried all FAIL:

// Direct assignment (won't compile, no viable overloaded '=')
my_vec = my_tens.slice(offsets, extents);

// Initialisation (won't compile, no viable overloaded '<<')
my_vec << my_tens.slice(offsets, extents);

// Same problem with reshaping:
g_a = signature_a.g.slice(offsets, extents).reshape(Eigen::array<Eigen::Index, 2>{dims[0], 1});

// Converting the base (won't compile, no member 'matrix')
my_vec << my_tens.slice(offsets, extents).matrix();

I also tried mapping as in this answer, but that doesn't work either (the elements are stored nonconsecutively due to the storage ordering):

// This produces a part of a row of the tensor, not a column. Gah!
auto page_offset = offsets[2] * dims[0] * dims[1];
auto col_offset = offsets[1] * dims[0];
auto bytes_offset = sizeof(double) * (page_offset + col_offset)
Eigen::Map<Eigen::VectorXd> my_mapped_vec(my_tens.data() + bytes_offset, dims[0]);

Should it really be this hard, or am I missing something simple? Thanks for any and all help!