mindspore.ops.SparseToDense
- class mindspore.ops.SparseToDense[源代码]
Converts a sparse representation into a dense tensor.
- Inputs:
indices (Tensor) - A 2-D Tensor, represents the position of the element in the sparse tensor. Support int32, int64, each element value should be a non-negative int number. The shape is \((n, 2)\).
values (Tensor) - A 1-D Tensor, represents the value corresponding to the position in the indices. The shape should be \((n,)\).
sparse_shape (tuple(int)) - A positive int tuple which specifies the shape of sparse tensor, should have 2 elements, represent sparse tensor shape is \((N, C)\).
- Returns
Tensor, converted from sparse tensor. The dtype is same as values, and the shape is sparse_shape.
- Raises
TypeError – If the dtype of indices is neither int32 nor int64.
ValueError – If sparse_shape, shape of indices and shape of values don’t meet the parameter description.
- Supported Platforms:
CPU
Examples
>>> indices = Tensor([[0, 1], [1, 2]]) >>> values = Tensor([1, 2], dtype=ms.float32) >>> sparse_shape = (3, 4) >>> sparse_to_dense = ops.SparseToDense() >>> out = sparse_to_dense(indices, values, sparse_shape) >>> print(out) [[0. 1. 0. 0.] [0. 0. 2. 0.] [0. 0. 0. 0.]]