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[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
           |