tfg.geometry.representation.mesh.sampler.generate_random_face_indices

Generate a sample of face ids given per face probability.

tfg.geometry.representation.mesh.sampler.generate_random_face_indices(
    num_samples: int,
    face_weights: type_alias.TensorLike,
    seed: Optional[type_alias.TensorLike] = None,
    stateless: bool = False,
    name: str = 'generate_random_face_indices'
) -> type_alias.TensorLike

Note
In the following, A1 to An are optional batch dimensions.

Args
num_samples	An int32 scalar denoting the number of samples to generate per mesh.
face_weights	A float tensor of shape [A1, ..., An, F] where F is number of faces. All weights must be > 0.
seed	Optional seed for the random number generator.
stateless	Optional flag to use stateless random sampler. If stateless=True, then seed must be provided as shape [2] int tensor. Stateless random sampling is useful for testing to generate the same reproducible sequence across calls. If stateless=False, then a stateful random number generator is used (default behavior).
name	Name for op. Defaults to "generate_random_face_indices".

Returns
An int32 tensor of shape [A1, ..., An, num_samples] denoting sampled face indices.