CUDA error: CUBLAS_STATUS_NOT_SUPPORTED
ERROR diffusion_model.output_blocks.5.1.transformer_blocks.1.ff.net.2.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_q.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_k.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_v.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.1.transformer_blocks.1.attn2.to_out.0.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.1.proj_out.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.5.2.conv.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.6.0.in_layers.2.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.6.0.emb_layers.1.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.6.0.out_layers.3.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.6.0.skip_connection.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.7.0.in_layers.2.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.7.0.emb_layers.1.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.7.0.out_layers.3.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.7.0.skip_connection.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.8.0.in_layers.2.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.8.0.emb_layers.1.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.8.0.out_layers.3.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
ERROR diffusion_model.output_blocks.8.0.skip_connection.weight CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling cublasSgemm( handle, opa, opb, m, n, k, &alpha, a, lda, b, ldb, &beta, c, ldc)
sgemm is already implemented. Please check whether ZLUDA BLAS is loaded and is being used. (cublas.dll on Windows, libcublas.so on Linux)
tasklist /m cublas.dll i write this in cmd if i understood right and it says what can't find it Do I need to replace some dlls in the python libraries?
What application are you trying?
Fooocus
Follow the second paragraph of ZLUDA PyTorch instruction.
cublas64_*.dll
cusparse64_*.dll
nvrtc64_*_*.dll
Fooocus
Here you find a install Guide for Fooocus with ZLUDA. I tested it a few minutes ago. https://github.com/CS1o/Stable-Diffusion-Info/wiki/Installation-Guides
Follow the second paragraph of ZLUDA PyTorch instruction.
cublas64_*.dll cusparse64_*.dll nvrtc64_*_*.dll
Error loading caffe2_nvrtc.dll or its dependencied after replace the three dll
Make sure that you have
- AMD GPU driver (amdhip64.dll, or amdhip64_6.dll with HIP SDK 6.1)
- HIP SDK (rocblas.dll, rocsolver.dll, rocsparse.dll, and hiprtc0601.dll (0507 in HIP SDK 5.7))
- Microsoft Visual C Runtime (vcruntime140.dll)
Error loading caffe2_nvrtc.dll or its dependencied after replace the three dll
That error is caused by any Python Version that got installed through the Microsoft Store. To fix it, uninstall all Python Versions you have under the Windows Settings/APPS. Then install Python 3.10.11 64bit with its normal installer from here: https://www.python.org/downloads/release/python-31011/ Check "Add Python to Path" and reboot the System.
Open up a cmd and type
python --version
and
where python
Verify that the Path to Python 3.10.11 is at the top.
Error loading caffe2_nvrtc.dll or its dependencied after replace the three dll
That error is caused by any Python Version that got installed through the Microsoft Store. To fix it, uninstall all Python Versions you have under the Windows Settings/APPS. Then install Python 3.10.11 64bit with its normal installer from here: https://www.python.org/downloads/release/python-31011/ Check "Add Python to Path" and reboot the System.
Open up a cmd and type
python --versionandwhere pythonVerify that the Path to Python 3.10.11 is at the top.
It's a little better, but new error emerge Error loading "C:\Users\M1175\AppData\Local\Programs\Python\Python310\lib\site-packages\torch\lib\cusolver64_11.dll" or one of its dependencies.