mindspore.numpy.minimum
- mindspore.numpy.minimum(x1, x2, dtype=None)[source]
Element-wise minimum of tensor elements.
Compares two tensors and returns a new tensor containing the element-wise minima.
Note
Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. On Ascend, input arrays containing inf or NaN are not supported.
- Parameters
x1 (Tensor) – first input tensor to be compared.
x2 (Tensor) – second input tensor to be compared.
dtype (
mindspore.dtype
, optional) – defaults to None. Overrides the dtype of the output Tensor.
- Returns
Tensor, element-wise minimum of x1 and x2.
- Raises
TypeError – If inputs have types not specified above.
ValueError – If the shapes of x1 and x2 cannot be broadcast.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore.numpy as np >>> a = np.asarray([1, 2]) >>> b = np.asarray([[1, 3],[1, 4]]) >>> print(np.minimum(a, b)) [[1 2] [1 2]]