mindspore.COOTensor
- class mindspore.COOTensor(indices=None, values=None, shape=None, coo_tensor=None)[source]
A sparse representation of a set of nonzero elements from a tensor at given indices.
For a tensor dense, its COOTensor(indices, values, shape) has dense[indices[i]] = values[i].
For example, if indices is [[0, 1], [1, 2]], values is [1, 2], shape is (3, 4), then the dense representation of the sparse tensor will be:
[[0, 1, 0, 0], [0, 0, 2, 0], [0, 0, 0, 0]]
Note
This is an experimental feature and is subjected to change. Currently, duplicate coordinates in the indices will not be coalesced.
- Parameters
indices (Tensor) – A 2-D integer Tensor of shape [N, ndims], where N and ndims are the number of values and number of dimensions in the COOTensor, respectively. Currently, ndims must be 2. Please make sure that the indices are in range of the given shape.
values (Tensor) – A 1-D tensor of any type and shape [N], which supplies the values for each element in indices.
shape (tuple(int)) – A integer tuple of size ndims, which specifies the dense_shape of the sparse tensor.
coo_tensor (COOTensor) – A COOTensor object.
- Returns
COOTensor, composed of indices, values, and shape.
Examples
>>> import mindspore as ms >>> import mindspore.nn as nn >>> from mindspore import Tensor, COOTensor >>> indices = Tensor([[0, 1], [1, 2]], dtype=ms.int32) >>> values = Tensor([1, 2], dtype=ms.float32) >>> shape = (3, 4) >>> x = COOTensor(indices, values, shape) >>> print(x.values) [1. 2.] >>> print(x.indices) [[0 1] [1 2]] >>> print(x.shape) (3, 4)
- abs()[source]
Return absolute value element-wisely.
- Returns
COOTensor.
- Supported Platforms:
Ascend
GPU
CPU
- astype(dtype)[source]
Return a copy of the COOTensor, cast its values to a specified type.
- Parameters
dtype (Union[
mindspore.dtype
, numpy.dtype, str]) – Designated tensor dtype.- Returns
COOTensor.
- Supported Platforms:
Ascend
GPU
CPU
Examples
>>> import mindspore as ms >>> from mindspore import Tensor, COOTensor >>> indices = Tensor([[0, 1], [1, 2]], dtype=ms.int32) >>> values = Tensor([1, 2], dtype=ms.float32) >>> shape = (3, 4) >>> coo_tensor = COOTensor(indices, values, shape) >>> print(coo_tensor.astype(ms.float64).dtype) Float64
- property dtype
Return the dtype of the values of COOTensor (
mindspore.dtype
).
- property indices
Return COOTensor’s indices.
- property itemsize
Return the length of one tensor element in bytes.
- property ndim
Return the number of tensor dimensions.
- property shape
Return COOTensor’s shape.
- property size
Return the number of non-zero values.
- to_tuple()[source]
Return indices, values and shape as a tuple.
- Returns
Tuple.
- Supported Platforms:
Ascend
GPU
CPU
- property values
Return COOTensor’s non-zero values.