Tensors

def rerun.log_tensor(entity_path, tensor, *, names=None, meter=None, ext=None, timeless=False, recording=None)

Log an n-dimensional tensor.

Parameters:

Name	Type	Description	Default
entity_path	str	Path to the tensor in the space hierarchy.	required
tensor	ArrayLike	A Tensor object.	required
names	Iterable[str | None] | None	Optional names for each dimension of the tensor.	None
meter	float | None	Optional scale of the tensor (e.g. meters per cell).	None
ext	dict[str, Any] | None	Optional dictionary of extension components. See rerun.log_extension_components	None
timeless	bool	If true, the tensor will be timeless (default: False).	False
recording	RecordingStream | None	Specifies the rerun.RecordingStream to use. If left unspecified, defaults to the current active data recording, if there is one. See also: rerun.init, rerun.set_global_data_recording.	None