Bucketize
Bucketize
torch_bucketize(self, boundaries, out_int32 = FALSE, right = FALSE)
self |
(Tensor or Scalar) N-D tensor or a Scalar containing the search value(s). |
boundaries |
(Tensor) 1-D tensor, must contain a monotonically increasing sequence. |
out_int32 |
(bool, optional) – indicate the output data type. |
right |
(bool, optional) – if False, return the first suitable location that is found. If True, return the last such index. If no suitable index found, return 0 for non-numerical value (eg. nan, inf) or the size of boundaries (one pass the last index). In other words, if False, gets the lower bound index for each value in input from boundaries. If True, gets the upper bound index instead. Default value is False. |
Returns the indices of the buckets to which each value in the input belongs, where the
boundaries of the buckets are set by boundaries. Return a new tensor with the same size
as input. If right is FALSE (default), then the left boundary is closed.
if (torch_is_installed()) {
boundaries <- torch_tensor(c(1, 3, 5, 7, 9))
boundaries
v <- torch_tensor(rbind(c(3, 6, 9), c(3, 6, 9)))
v
torch_bucketize(v, boundaries)
torch_bucketize(v, boundaries, right=TRUE)
}Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.