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To access the contents of a sparse matrix, we currently have the following options:
- Iterating through elements, obtaining the row, column and value of each. https://igraph.org/c/html/latest/igr…
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Is there any examples of the intputs that are sparse matrices? I didn't see it in "Running-InferCNV"
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Why doesn't cuSPARSE support dense matrix sparse matrix multiplication resulting in a dense matrix? Many application scenarios require this. Please consider adding support.
```[tasklist]
### Tasks
…
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Gradient computation is unsupported if a variable is multiplied with a Sparse Matrix, even if we are not interested at all at the gradient w.r.t. the Sparse Matrix, but only w.r.t. the dense variable.…
IngLP updated
6 years ago
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Thanks for this amazing package! I have used it in so many projects already!
I just wanted to check if there are plans to support sparse matrices as well any time soon?
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Here's the beginnings of my work on sparse double matrices.
This is based on 4.3.rc0. Note that I have *not* run the entire Sage test suite,
only tests in the matrix package. I'm happy to run the e…
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Subj. Also we need to think about using these formats with dense matrices.
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I have big-size matrices, but it too sparsed. I do not have enough memory, and I do not see other libraries to do it.
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This is awesome and I really wanted to use it, however at some point it is converting the sparse numpy matrix to a dense matrix, which is unusable for my purposes because it causes a memory exception.…
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Hello,
My data sets are rather large (I am trying a data set that has 33K genes and 67K cells) that is coming from a Seurat pipeline.
Seurat uses sparse matrices (ie dgTMatrix) and I run into er…
s2hui updated
3 years ago