mindspore.ops.unsorted_segment_prod
- mindspore.ops.unsorted_segment_prod(x, segment_ids, num_segments)[source]
Computes the product of a tensor along segments.
The following figure shows the calculation process of UnsortedSegmentProd:
Note
If the segment_id i is absent in the segment_ids, then output[i] will be filled with 1.
The segment_ids must be non-negative tensor.
- Parameters
- Returns
Tensor, set the number of num_segments as N, the shape is
.- Raises
TypeError – If num_segments is not an int.
ValueError – If length of shape of segment_ids is not equal to 1.
- Supported Platforms:
Ascend
GPU
Examples
>>> from mindspore import Tensor >>> from mindspore import ops >>> import numpy as np >>> x = Tensor(np.array([[1, 2, 3], [4, 5, 6], [4, 2, 1]]).astype(np.float32)) >>> segment_ids = Tensor(np.array([0, 1, 0]).astype(np.int32)) >>> num_segments = 2 >>> output = ops.unsorted_segment_prod(x, segment_ids, num_segments) >>> print(output) [[4. 4. 3.] [4. 5. 6.]]