mindspore.ops.trapz
- mindspore.ops.trapz(y, x=None, *, dx=1.0, dim=- 1)[source]
Compute the trapezoidal rule along dim.
The spacing between elements is specified by the tensor x or the scalar dx , default
1
.- Parameters
- Keyword Arguments
- Returns
Tensor
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore >>> y = mindspore.tensor([[1., 2., 3.], [2., 3., 4.], [3., 2., 1.]]) >>> # case 1: Integrate over a regular grid, with spacing 1. >>> output = mindspore.ops.trapz(y, dx=1.) >>> print(output) [4. 6. 4.] >>> >>> # case 2: Integrate over an irregular grid. >>> x = mindspore.tensor([[1, 2, 3], [1, 3, 5], [1, 4, 7]]) >>> output = mindspore.ops.trapz(y, x) >>> print(output) [ 4. 12. 12.]