GPU utilization rate is very low with WHISPER_CUBLAS=1

[bobqianic]

It seems that the CPU is working most of the time while the GPU is resting. There's still a lot of room for optimization.
A 27.8-minute audio takes 62.7 minutes to transcribe...

model: ggml-model-largev2.bin
parameters: -bs 5 -bo 5
audio: diffusion2023-07-03.wav 27.8 mins

[MichaelDays]

Could you paste the full text of the log output, startup to shutdown?

[jbrough]

It's at least an order of magnitude slower than my M2 Air with CoreML. I'm trying with cuda on g4dn.xlarge

ggml_init_cublas: found 1 CUDA devices:
  Device 0: Tesla T4

[ggerganov]

Yes, current cuBLAS support is quite rudimentary as we constantly keep moving data between the CPU and the GPU.
Better implementation with tensor offloading as in llama.cpp is possible, but don't have enough time to implement it yet

[dereklll]

Yes, current cuBLAS support is quite rudimentary as we constantly keep moving data between the CPU and the GPU. Better implementation with tensor offloading as in llama.cpp is possible, but don't have enough time to implement it yet

This should leave a lot of room for optimization of the whole process and hopefully help speed it up

[dereklll]

whisper_print_timings: load time = 1177.86 ms
whisper_print_timings: fallbacks = 3 p / 1 h
whisper_print_timings: mel time = 75.22 ms
whisper_print_timings: sample time = 127.27 ms / 142 runs ( 0.90 ms per run)
whisper_print_timings: encode time = 4798.87 ms / 7 runs ( 685.55 ms per run)
whisper_print_timings: decode time = 755.72 ms / 125 runs ( 6.05 ms per run)
whisper_print_timings: prompt time = 259.36 ms / 12 runs ( 21.61 ms per run)
whisper_print_timings: total time = 115156.91 ms

llama_print_timings: load time = 2547.77 ms
llama_print_timings: sample time = 1384.57 ms / 207 runs ( 6.69 ms per token, 149.51 tokens per second)
llama_print_timings: prompt eval time = 2709.93 ms / 326 tokens ( 8.31 ms per token, 120.30 tokens per second)
llama_print_timings: eval time = 10688.34 ms / 207 runs ( 51.63 ms per token, 19.37 tokens per second)
llama_print_timings: total time = 113960.37 ms

[bobqianic]

Fixed in #1472