* Return the pointers to the beginning of each column in \ref valuePtr() */

\returns the number of columns of the matrix */

xyz can be (B T N 3) or (B T 3 H W) or (B N 3)

\returns a const pointer to the array of inner indices. * This function is aimed at interoperability with other libraries. * \sa valuePtr(

Interpolate a trajectory to have a specific number of points. Args: trajectory: numpy array of shape (N, 2) or (N, 3) nu

Log scalar data to TensorBoard. Args: name: Tag name used to group scalars data: Scalar data to log (float/int/Tensor

\brief Returns an expression of the tridiagonal matrix T in the decomposition * * \returns expression object representing the matrix T

Create a new tensor of the same type and device.

\returns the number of rows of the matrix */

\returns the size of a side of the respective square matrix, i.e., the number of indices */

extract translation component

Update the gravity vector by adding a delta.

\returns a const pointer to the array of values. * This function is aimed at interoperability with other libraries. * \sa innerIndexPtr(),

Convert input to torch tensor if it's not already one.

Wrapper for grid_sample, uses pixel coordinates

* Get the number of columns of the input matrix. */

\returns true if \a U (full or thin) is asked for in this SVD decomposition */

Expand from edge (ii, jj) to (pi, qi, di, pj, qj, dj) which refers to the actual indices in the flattened buffer. In

Load configuration from YAML file.

Turns the matrix into the \em compressed format. */

\internal */

Preprocess image tensor(s) to target size with crop or pad mode. Args: img_tensor (torch.Tensor): Image tensor of shape (C, H, W) or