Return a process group based on gloo backend, containing all the ranks The result is cached.

Returns: list[int]: size of the tensor, on each rank Tensor: padded tensor that has the max size

Aggregate metrics for the whole dataset: (This method should be called once per dataset) 1. AUC of the pose error (angular) at the threshold

If this bigint has a bigger exponent than other, adds trailing zero to make exponents equal. This simplifies some operations such as subtraction.

https://github.com/wenbowen123/iros20-6d-pose-tracking/blob/2df96b720e8e499b9f0d5fcebfbae2bcfa51ab19/eval_ycb.py#L45

Update: data (dict):{"epi_errs": [M]}

Instantiate NeRF's MLP model.

Returns true iff x is divisible by pow(5, exp).

Ensure tensor is of specified type. This utility function checks if a tensor has the required data type and converts it if n

Return if file exists

A wrapper around fwrite that throws on error.

Returns the argument at specified index. */

Returns the argument with the specified id. */

Get a yacs CfgNode object with default values for my_project.

Given the divisor (normally a power of 10), the remainder = v % divisor for some number v and the error, returns whether v should be rounded up, down,

Make matching figures for a batch. Args: data (Dict): a batch updated by PL_LoFTR. config (Dict): matcher config Returns

For megadepth dataset, zero-padding exists in images

Computes lhs * rhs / pow(2, 64) rounded to nearest with half-up tie breaking.

Return the next frame, and increment internal counter. Returns image: Next H x W image. status: True or False depen