[WIP] dgl-cugraph benchmarks

[VibhuJawa]

This PR depends upon: #3048

Example Command:

pytest -svx --benchmark-columns="mean,stddev,outliers,rounds" --benchmark-gpu-disable --benchmark-warmup=off --benchmark-min-rounds=2 --pdb cugraph-dgl/pytest-based/bench_cugraph_dgl_uniform_neighbor_sample.py -k "SG and fanout_10_25 and rmat_25_4"

----------------------------------------------------------------------------------------- benchmark: 15 tests -----------------------------------------------------------------------------------------
Name (time in ms, mem in bytes)                                                                                                          Mean              StdDev            Outliers  Rounds          
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=100]         83.6024 (1.0)       43.7546 (31.94)         2;2      15
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=500]         94.5904 (1.13)      72.0702 (52.61)         1;1      14
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=1000]        89.1689 (1.07)       2.1179 (1.55)          1;0       3
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=2500]       141.4596 (1.69)      96.7475 (70.63)         2;2      11
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=5000]       155.7184 (1.86)     106.3896 (77.67)         2;2      10
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=10000]      188.4561 (2.25)     121.4741 (88.68)         2;2       9
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=20000]      201.9263 (2.42)     119.8722 (87.51)         2;0       8
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=30000]      222.6969 (2.66)     129.3296 (94.41)         2;0       7
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=40000]      229.5216 (2.75)     118.9508 (86.84)         2;0       7
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=50000]      153.5004 (1.84)       1.3698 (1.0)           1;0       3
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=60000]      225.2665 (2.69)     111.0862 (81.09)         2;0       7
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=70000]      246.0592 (2.94)     125.3636 (91.52)         2;0       7
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=80000]      179.6898 (2.15)       6.1373 (4.48)          1;0       3
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=90000]      279.9968 (3.35)     135.1328 (98.65)         2;0       6
bench_cugraph_dgl_uniform_neighbor_sample[gpu_config=SG-dataset=rmat_25_4-with_replacement=False-fanout=10_25-batch_size=100000]     212.5346 (2.54)      35.1669 (25.67)         1;0       3
-------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------------

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