mindspore.ops.bucketize
- mindspore.ops.bucketize(input, boundaries, *, right=False)[source]
Bucketizes input based on boundaries. If right is
False
, the left boundary is closed. For each element x in input, the returned index satisfies the following rules:\[\begin{split}\begin{cases} boundaries[i-1] < x <= boundaries[i], & \text{if right} = False\\ boundaries[i-1] <= x < boundaries[i], & \text{if right} = True \end{cases}\end{split}\]- Parameters
- Keyword Arguments
right (bool, optional) – if
False
, gets the lower bound index for each value in input from boundaries; IfTrue
, gets the upper bound index instead. Default:False
.- Returns
Tensor, the indexes Tensor, with the same shape as the input, and data type is int32.
- Raises
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import numpy as np >>> from mindspore import Tensor, ops >>> input = Tensor(np.array([[3, 6, 9], [3, 6, 9]])) >>> boundaries = list(np.array([1., 3., 5., 7., 9.])) >>> output = ops.bucketize(input, boundaries, right=True) >>> print(output) [[2 3 5] [2 3 5]]