PyObjectCall2Args */

RaiseTooManyValuesToUnpack */

Normalize coordinate to [0, 1] for unit cube experiments. Corresponds to our 3D model Args: x (tensor): coordinate reso

Encodes the input. Args: input (tensor): the input

:param masked_imgs: torch tensor, [3,H,W](RGB), float, 0-1. H=W=256 :param masks: torch tensor, [H,W], float32 :return: inpai

Must return the number of data points

Query for the \a num_closest closest points to a given point (entered as query_point[0:dim-1]). * Note that this is a short-cut method for index->

Write ".ply" files Parameters ---------- filename : string the name of the file to which the data is saved. A '.ply' extensio

IterFinish */

ParseKeywords */

CIntFromPy */

:param num_views: number of views :param D: distance to the origin :return:

get data

Create a linear module.

Normalize coordinate to [0, 1] for unit cube experiments Args: p (tensor): point padding (float): conventional padding paramter

Read ".ply" files Parameters ---------- filename : string the name of the file to read. Returns ------- result :

Multiplies the input vector by A

GetBuiltinName */

Import */

UnpackItemEndCheck */

ParseKeywords */

CIntToPy */

CIntToPy */

None */

decode_c_string */

Convert the torso of the model to float16.

:param img: C,H,W :param no_need_inpaint_mask2: :param method: 'linear' or 'nearest' :return:

Returns a vector containing the singular values. The shape of the vector should be the same as the smaller dimension (like U)

r"""Sets the module in training mode.

Zero out the parameters of a module and return it.

Multiplies the input vector by U transposed

Multiplies the input vector by V

GetAttr */

GetItemInt */

RaiseArgTupleInvalid */

RaiseNeedMoreValuesToUnpack */