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Specifications and Common Mistakes

- Specifications and Common Mistakes:

- Misspellings or punctuation mistakes,incorrect formulas, abnormal display.

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mindspore.ops.TrilIndices

class mindspore.ops.TrilIndices(row, col, offset=0, dtype=mstype.int32)

Calculates the indices of the lower triangular elements in a row * col matrix and returns them as a 2-by-N Tensor.

Warning

This is an experimental API that is subject to change or deletion.

Refer to mindspore.ops.tril_indices() for more details.

Parameters

• row (int) – number of rows in the 2-D matrix.

• col (int) – number of columns in the 2-D matrix.

• offset (int, optional) – diagonal offset from the main diagonal. Default: 0 .

• dtype (mindspore.dtype, optional) – The specified type of output tensor. An optional data type of mstype.int32 and mstype.int64 . Default: mstype.int32 .

Outputs:

• y (Tensor) - indices of the elements in lower triangular part of matrix. The type specified by dtype. The shape of output is $(2,tril\mathrm{\_}size)$, where $tril\mathrm{\_}size$ is the number of elements in the lower triangular matrix.

Supported Platforms:

Ascend GPU CPU

Examples

>>> from mindspore import ops
>>> from mindspore import dtype as mstype
>>> net = ops.TrilIndices(4, 3, -1, mstype.int64)
>>> output = net()
>>> print(output)
[[1 2 2 3 3 3]
 [0 0 1 0 1 2]]
>>> print(output.dtype)
Int64