scikit-cuda
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Python interface to GPU-powered libraries
## Problem I have found an issue when using CUDA 11.1, where creating a FFT plan, using it and doing another operation (simple sum reduction), then deleting the plan, re-creating...
If haven't those method, the code as follow will not working pca.fit(X) pca.transform(Y)
## Problem I want to compute the skcuda equivalent to ``A.T @ b`` for numpy arrays ``(A, b)`` when A has 2 dimensions and b has one dimension. Here's some...
## Problem while importing skcuda.linalg, OSError: cublas library not found. I tried with other released pycuda, still not working. ## Environment List the following info: * OS platform (including distro...
## Problem I am not famalier to the **cublas** programming, the implemented algorithm **scikit-cuda PCA** seems different to **sklearn**, I try to compare their **explained_variance_ratio_** to know which one is...
## Problem I am using Colab to do GPU programming. I came up with a problem when I am using matrix multiplication function `Sgemm`. The three inputs of the function...
Probably caused by a misprint in cusolver.py, "11" is missed in _win32_version_list. in line 26 two "10": _win32_version_list = [110, 10, 10, 100, 92, 91, 90, 80, 75, 70] I...
## Problem I found `pycuda.gpuarray.dot()` is different from `numpy.dot()`. So I want to use `linalg.dot()` by `import skcuda.linalg`. (The calculation method of `linalg.dot()` is equivalent to `numpy.dot()`?). Then I got...
Are there any plans to get a 0.5.4 release out of the door? It looks like there has been some good work on scikit-cuda over the last two years (since...
compiled scikit-cuda from source. build successful but two tests failed ``` ====================================================================== FAIL: test_batch_fft_float32_to_complex64_2d (test_fft.test_fft) ---------------------------------------------------------------------- Traceback (most recent call last): File "/home/bernard/opt/python38/scikit-cuda/tests/test_fft.py", line 75, in test_batch_fft_float32_to_complex64_2d np.testing.assert_allclose(xf, xf_gpu.get(), atol=atol_float32)...