TH++ is a C++ tensor library, implemented as a wrapper around the TH library (the low-level tensor library in Torch). There is unfortunately little documentation about TH, but the interface mimics the Lua Tensor interface.
The core of the library is the Tensor<T> class template, where T is a
numeric type (usually floating point, float or double). A tensor is
a multi-dimensional array, usually in C (row-major) order, but many
operations (transpose, slice, etc) are performed by permuting indexes and
changing offsets, so the data is no longer contiguous / in row-major order.
Read the numpy.ndarray
documentation
for more details about the strided indexing scheme.
Tensors may also share memory with other tensors; operations that manipulate
metadata (select, slice, transpose, etc) will make the destination tensor
share memory with the source. To ensure you have a unique copy, call
force(Tensor<T>::UNIQUE) on the tensor. Similarly, to ensure you have
a contiguous C (row-major) tensor, call force(Tensor<T>::CONTIGUOUS), which
may also create a unique copy.
Please see the header file <thpp/Tensor.h> for more details.