mindspore.Tensor.to_tensor

Tensor.to_tensor(slice_index=None, shape=None, opt_shard_group=None)[source]

Return init_data() and get the tensor format data of this Tensor.

Note

The usage of to_tensor is deprecated. Please use init_data.

Parameters

  • slice_index (int) – Slice index of a parameter’s slices. It is used when initialize a slice of a parameter, it guarantees that devices using the same slice can generate the same tensor. Default: None.

  • shape (list[int]) – Shape of the slice, it is used when initialize a slice of the parameter. Default: None.

  • opt_shard_group (str) – Optimizer shard group which is used in auto or semi auto parallel mode to get one shard of a parameter’s slice. Default: None.

Returns

Initialized Tensor.

Raises

  • TypeError – indices is neither int32 nor int64.

  • ValueError – The length of the shape of the tensor is less than the last dimension of indices.

Supported Platforms:

Ascend GPU CPU

Examples

>>> import mindspore as ms
>>> from mindspore.common.initializer import initializer, Constant
>>> x = initializer(Constant(1), [2, 2], ms.float32)
>>> out = x.to_tensor()
>>> print(out)
[[1. 1.]
 [1. 1.]]