mindspore.numpy.floor

mindspore.numpy.floor(x, dtype=None)[source]

Returns the floor of the input, element-wise.

The floor of the scalar x is the largest integer i, such that i <= x.

Note

Numpy arguments out, where, casting, order, subok, signature, and extobj are not supported. On GPU, the supported dtypes are np.float16 and np.float32. On CPU, the supported dtypes are np.float16, np.float32, and np.float64.

Parameters

x (Tensor) – input data.
dtype (mindspore.dtype, optional) – Default: None . Overrides the dtype of the output Tensor.

Returns

Tensor or scalar, the floor of each element in x. This is a scalar if x is a scalar.

Supported Platforms:: Ascend GPU CPU

Examples

>>> import mindspore.numpy as np
>>> output = np.floor(np.array([-1.7, -1.5, -0.2, 0.2, 1.5, 1.7, 2.0]))
>>> print(output)
[-2. -2. -1.  0.  1.  1.  2.]