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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the CC-by-NC license found in the
# LICENSE file in the root directory of this source tree.
import torch
from torch import Tensor
def get_nearest_times(time_grid: Tensor, t_discretization: Tensor) -> Tensor:
distances = torch.cdist(
time_grid.unsqueeze(1),
t_discretization.unsqueeze(1),
compute_mode="donot_use_mm_for_euclid_dist",
)
nearest_indices = distances.argmin(dim=1)
return t_discretization[nearest_indices]