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@kangshiyin, there is something I need to be done in the 'rnnlm' branch.
We'll need the cuSPARSE library. It will include some changes to the headers and the Makefiles.
Also, there seems to be som…
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### 🚀 The feature, motivation and pitch
Despite not being explicitly documented, [`torch.triangular_solve`](https://pytorch.org/docs/stable/generated/torch.triangular_solve.html) appears to support…
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E.g. during the active set strategy a bunch of matrices are created (and not destroyed?) within each iteration. This seems to lead to an excessive RAM use and thus an error within the simulation for l…
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Hi, guys,
I compiled the example code for cusparseLt here: [https://github.com/NVIDIA/CUDALibrarySamples/tree/master/cuSPARSELt/matmul](url), which I used the default problem size, and used Nsight sy…
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We improve multiplication of matrix and vector for flint matrices by using that the rows of the matrix are already stored as vectors.
We also wrap the code in `try ... finally` such that memory is …
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Generate matrices of various sizes and values based on their input parameters. The component takes input parameters such as the number of rows and columns of the matrix, the minimum and maximum value …
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Some ideas:
1. We do not need to store both `Y` and `Yorig` in the flash data object.
2. We should probably store `tau` as a vector when `var_type = by_column` or `by_row`. This could be tricky, but…
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I need to solve upper-triangular systems with both dense and sparse matrices. To this end, I'm looking at [solve_triangular](https://docs.scipy.org/doc/scipy/reference/generated/scipy.linalg.solve_tri…
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Based on clad discussion #780. We assume the current computations of a Jacobian and Hessian are returned as a dense matrix. We wish to augment the API to allow sparse representations of the Jacobian…
a-jp updated
3 months ago
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Hi,
I'm getting System.OutOfMemoryExceptions when trying to call Svd() on dense matrices with nRows or nCols > 16383.
This is with MathNet.Numerics version 4.12.0 and MathNetNumerics.MKL-Win-x…
eoner updated
4 years ago