mars.tensor.
empty
Return a new tensor of given shape and type, without initializing entries.
shape (int or tuple of int) – Shape of the empty tensor
dtype (data-type, optional) – Desired output data-type.
chunk_size (int or tuple of int or tuple of ints, optional) – Desired chunk size on each dimension
gpu (bool, optional) – Allocate the tensor on GPU if True, False as default
order ({'C', 'F'}, optional, default: 'C') – Whether to store multi-dimensional data in row-major (C-style) or column-major (Fortran-style) order in memory.
out – Tensor of uninitialized (arbitrary) data of the given shape, dtype, and order. Object arrays will be initialized to None.
Tensor
See also
empty_like, zeros, ones
empty_like
zeros
ones
Notes
empty, unlike zeros, does not set the array values to zero, and may therefore be marginally faster. On the other hand, it requires the user to manually set all the values in the array, and should be used with caution.
Examples
>>> import mars.tensor as mt >>> mt.empty([2, 2]).execute() array([[ -9.74499359e+001, 6.69583040e-309], [ 2.13182611e-314, 3.06959433e-309]]) #random >>> mt.empty([2, 2], dtype=int).execute() array([[-1073741821, -1067949133], [ 496041986, 19249760]]) #random