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# torch.Tensor.sparse_resize_

Tensor.sparse_resize_(size, sparse_dim, dense_dim) → Tensor

  Resizes `self` sparse tensor to the desired size and the number of sparse and dense dimensions.

  Note

  If the number of specified elements in `self` is zero, then `size`, `sparse_dim`, and `dense_dim` can be any size and positive integers such that `len(size) == sparse_dim + dense_dim`.

  If `self` specifies one or more elements, however, then each dimension in `size` must not be smaller than the corresponding dimension of `self`, `sparse_dim` must equal the number of sparse dimensions in `self`, and `dense_dim` must equal the number of dense dimensions in `self`.

  Warning

  Throws an error if `self` is not a sparse tensor.

  Parameters:

    - size (torch.Size) – the desired size. If `self` is non-empty sparse tensor, the desired size cannot be smaller than the original size.

    - sparse_dim (int) – the number of sparse dimensions

    - dense_dim (int) – the number of dense dimensions

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