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python demo.py -i ../output/frames -o results -v 2.0 -s 1 -f 0.8 got error message each frame processing Failed inference for VQFR: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)`.
python demo.py -i ../output/frames -o results -v 2.0 -s 1 -f 0.8
Failed inference for VQFR: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)`.
nvcc: NVIDIA (R) Cuda compiler driver Copyright (c) 2005-2021 NVIDIA Corporation Built on Fri_Dec_17_18:16:03_PST_2021 Cuda compilation tools, release 11.6, V11.6.55 Build cuda_11.6.r11.6/compiler.30794723_0
Thu Nov 9 10:53:56 2023 +-----------------------------------------------------------------------------+ | NVIDIA-SMI 525.147.05 Driver Version: 525.147.05 CUDA Version: 12.0 | |-------------------------------+----------------------+----------------------+ | GPU Name Persistence-M| Bus-Id Disp.A | Volatile Uncorr. ECC | | Fan Temp Perf Pwr:Usage/Cap| Memory-Usage | GPU-Util Compute M. | | | | MIG M. | |===============================+======================+======================| | 0 NVIDIA GeForce ... Off | 00000000:01:00.0 On | N/A | | 62% 44C P8 45W / 350W | 163MiB / 24576MiB | 4% Default | | | | N/A | +-------------------------------+----------------------+----------------------+ +-----------------------------------------------------------------------------+ | Processes: | | GPU GI CI PID Type Process name GPU Memory | | ID ID Usage | |=============================================================================| | 0 N/A N/A 3287 G /usr/lib/xorg/Xorg 107MiB | | 0 N/A N/A 19571 G /usr/bin/gnome-shell 30MiB | | 0 N/A N/A 29963 G /usr/lib/firefox/firefox 22MiB | +-----------------------------------------------------------------------------+
any idea?
The text was updated successfully, but these errors were encountered:
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python demo.py -i ../output/frames -o results -v 2.0 -s 1 -f 0.8
got error message each frame processing
Failed inference for VQFR: CUDA error: CUBLAS_STATUS_NOT_SUPPORTED when calling `cublasSgemmStridedBatched( handle, opa, opb, m, n, k, &alpha, a, lda, stridea, b, ldb, strideb, &beta, c, ldc, stridec, num_batches)`.
any idea?
The text was updated successfully, but these errors were encountered: