mindspore.numpy.minimum

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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) – Default: 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]]