# mars.tensor.ones_like¶

mars.tensor.ones_like(a, dtype=None, gpu=None, order='K')[source]

Return a tensor of ones with the same shape and type as a given tensor.

Parameters
• a (array_like) – The shape and data-type of a define these same attributes of the returned tensor.

• dtype (data-type, optional) – Overrides the data type of the result.

• gpu (bool, optional) – Allocate the tensor on GPU if True, None as default

• order ({'C', 'F', 'A', or 'K'}, optional) – Overrides the memory layout of the result. ‘C’ means C-order, ‘F’ means F-order, ‘A’ means ‘F’ if a is Fortran contiguous, ‘C’ otherwise. ‘K’ means match the layout of a as closely as possible.

Returns

out – Tensor of ones with the same shape and type as a.

Return type

Tensor

zeros_like

Return a tensor of zeros with shape and type of input.

empty_like

Return a empty tensor with shape and type of input.

zeros

Return a new tensor setting values to zero.

ones

Return a new tensor setting values to one.

empty

Return a new uninitialized tensor.

Examples

>>> import mars.tensor as mt

>>> x = mt.arange(6)
>>> x = x.reshape((2, 3))
>>> x.execute()
array([[0, 1, 2],
[3, 4, 5]])
>>> mt.ones_like(x).execute()
array([[1, 1, 1],
[1, 1, 1]])

>>> y = mt.arange(3, dtype=float)
>>> y.execute()
array([ 0.,  1.,  2.])
>>> mt.ones_like(y).execute()
array([ 1.,  1.,  1.])