Tensors
def rerun.log_tensor(entity_path, tensor, *, names=None, meter=None, ext=None, timeless=False)
Log an n-dimensional tensor.
Parameters:
Name | Type | Description | Default |
---|---|---|---|
entity_path |
str
|
Path to the tensor in the space hierarchy. |
required |
tensor |
npt.ArrayLike
|
A Tensor object. |
required |
names |
Optional[Iterable[Optional[str]]]
|
Optional names for each dimension of the tensor. |
None
|
meter |
Optional[float]
|
Optional scale of the tensor (e.g. meters per cell). |
None
|
ext |
Optional[Dict[str, Any]]
|
Optional dictionary of extension components. See rerun.log_extension_components |
None
|
timeless |
bool
|
If true, the tensor will be timeless (default: False). |
False
|