Datasets:

ICICLE-AI
/

ResourceEstimation_HLOGenCNN

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train · 19.1k rows

name stringlengths 63 80	samples int64 1 1k	input_dim_w int64 224 600	input_dim_h int64 224 600	input_dim_c int64 3 3	output_dim int64 10 10	optimizer stringclasses 2 values	epochs int64 1 10	batch int64 1 64	learn_rate float64 0 0.01	tf_version stringclasses 1 value	cuda_version float64 12.2 12.2	batch_time float64 0.01 190	epoch_time float64 0.5 484	fit_time float64 4.71 574	npz_path stringlengths 46 63	gpu_make stringclasses 1 value	gpu_name stringclasses 3 values	gpu_arch stringclasses 2 values	gpu_cc float64 6 8	gpu_core_count int64 3.58k 6.91k	gpu_sm_count int64 56 108	gpu_memory_size float64 16 80	gpu_memory_type stringclasses 2 values	gpu_memory_bw float64 732 2.04k	gpu_tensor_core_count int64 0 640	max_memory_util float64 0 86	avg_memory_util float64 0 37.9	max_gpu_util float64 0 100	avg_gpu_util float64 0 83.1	max_gpu_temp float64 23 69	avg_gpu_temp float64 22.1 64
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b16_lr0001_1308	1,000	224	224	3	10	sgd	10	16	0.0001	2.15.1	12.2	0.15	9.8	98.05	model-npz/ResNet152_optsgd_s1000_e10_b16_lr00001_6795.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	24	10.55	79	37.04	45	37.38
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b32_lr01_5638	1,000	224	224	3	10	sgd	10	32	0.01	2.15.1	12.2	0.25	8.11	81.12	model-npz/ResNet152_optsgd_s1000_e10_b32_lr001_1624.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	43	15.44	94	35.82	47	36.99
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b32_lr001_1619	1,000	224	224	3	10	sgd	10	32	0.001	2.15.1	12.2	0.25	8.07	80.71	model-npz/ResNet152_optsgd_s1000_e10_b32_lr0001_1202.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	43	15.59	94	36.3	49	37.53
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b32_lr0001_3697	1,000	224	224	3	10	sgd	10	32	0.0001	2.15.1	12.2	0.25	8.05	80.52	model-npz/ResNet152_optsgd_s1000_e10_b32_lr00001_3323.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	43	15.88	94	36.83	50	37.55
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b64_lr01_2447	1,000	224	224	3	10	sgd	10	64	0.01	2.15.1	12.2	0.49	7.86	78.64	model-npz/ResNet152_optsgd_s1000_e10_b64_lr001_2556.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	57	18.57	96	34.99	51	37.56
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b64_lr001_1471	1,000	224	224	3	10	sgd	10	64	0.001	2.15.1	12.2	0.49	7.93	79.4	model-npz/ResNet152_optsgd_s1000_e10_b64_lr0001_2381.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	56	19.01	96	35.97	51	37.53
ResNet152_architecture_optsgd_s1000_ipd224x224x3_opd10_e10_b64_lr0001_1961	1,000	224	224	3	10	sgd	10	64	0.0001	2.15.1	12.2	0.49	7.85	78.55	model-npz/ResNet152_optsgd_s1000_e10_b64_lr00001_1566.npz	Nvidia	NVIDIA A100-SXM4-80GB	Ampere	8	6,912	108	80	hbm2e	2,040	432	56	19.06	96	36.54	52	38.13

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