mars.tensor.full¶
- mars.tensor.full(shape, fill_value, dtype=None, chunk_size=None, gpu=False, order='C')[源代码]¶
Return a new tensor of given shape and type, filled with fill_value.
- 参数
shape (int or sequence of ints) – Shape of the new tensor, e.g.,
(2, 3)
or2
.fill_value (scalar) – Fill value.
dtype (data-type, optional) –
- The desired data-type for the tensor The default, None, means
np.array(fill_value).dtype.
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) – Whether to store multidimensional data in C- or Fortran-contiguous (row- or column-wise) order in memory.
- 返回
out – Tensor of fill_value with the given shape, dtype, and order.
- 返回类型
Tensor
参见
zeros_like
Return a tensor of zeros with shape and type of input.
ones_like
Return a tensor of ones with shape and type of input.
empty_like
Return an empty tensor with shape and type of input.
full_like
Fill a 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.
实际案例
>>> import mars.tensor as mt
>>> mt.full((2, 2), mt.inf).execute() array([[ inf, inf], [ inf, inf]]) >>> mt.full((2, 2), 10).execute() array([[10, 10], [10, 10]])