Add CUDA devices to the benchmark

[ahmadsharif1]

Now the following works and uses cuda:

python benchmarks/decoders/benchmark_decoders.py --decoders=torchcodec_core,torchcodec_core:device=cuda
video_files_paths=['/home/ahmads/personal/torchcodec/benchmarks/decoders/../../test/resources/nasa_13013.mp4']
video=/home/ahmads/personal/torchcodec/benchmarks/decoders/../../test/resources/nasa_13013.mp4, decoder=TorchCodecCore
video=/home/ahmads/personal/torchcodec/benchmarks/decoders/../../test/resources/nasa_13013.mp4, decoder=TorchCodecCore:device=cuda
[AVHWDeviceContext @ 0x9be45c0] Using current CUDA context.
[----- video=/home/ahmads/personal/torchcodec/benchmarks/decoders/../../test/resources/nasa_13013.mp4 h264 480x270, 13.013s 29.97002997002997fps -----]
                                  |  uniform 10 seek()+next()  |  random 10 seek()+next()  |  1 next()  |  10 next()  |  100 next()  |  create()+next()
1 threads: --------------------------------------------------------------------------------------------------------------------------------------------
      TorchCodecCore              |            62.9            |            50.4           |    14.9    |     16.8    |     53.1     |        25.8     
      TorchCodecCore:device=cuda  |           595.1            |           597.3           |   302.5    |    302.5    |    308.0     |