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hybrid-ring-attention-profile_l20_128gpu_weakscale_0813

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computation_list=[(0, 6)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_7(
communication_list=[('kv', 1)],
computation_list=[(0, 7)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_8(
communication_list=[('kv', 1)],
computation_list=[(0, 8)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_9(
communication_list=[('kv', 1)],
computation_list=[(0, 9)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_10(
communication_list=[('kv', 1)],
computation_list=[(0, 10)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_11(
communication_list=[('kv', 1)],
computation_list=[(0, 11)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_12(
communication_list=[('kv', 1)],
computation_list=[(0, 12)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_13(
communication_list=[('kv', 1)],
computation_list=[(0, 13)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_14(
communication_list=[('kv', 1)],
computation_list=[(0, 14)],
fine_grained_parts_list=[(['kv'], 1)]
), Step_15(
communication_list=[('q', 1)],
computation_list=[(0, 15)],
fine_grained_parts_list=[(['q'], 1)]
), Step_16(
communication_list=[('q', 1)],
computation_list=[(1, 0), (1, 1), (1, 2), (1, 3), (1, 4), (1, 5), (1, 6), (1, 7), (1, 8), (1, 9), (1, 10), (1, 11), (1, 12), (1, 13), (1, 14), (1, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_17(
communication_list=[('q', 1)],
computation_list=[(2, 0), (2, 1), (2, 2), (2, 3), (2, 4), (2, 5), (2, 6), (2, 7), (2, 8), (2, 9), (2, 10), (2, 11), (2, 12), (2, 13), (2, 14), (2, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_18(
communication_list=[('q', 1)],
computation_list=[(3, 0), (3, 1), (3, 2), (3, 3), (3, 4), (3, 5), (3, 6), (3, 7), (3, 8), (3, 9), (3, 10), (3, 11), (3, 12), (3, 13), (3, 14), (3, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_19(
communication_list=[('q', 1)],
computation_list=[(4, 0), (4, 1), (4, 2), (4, 3), (4, 4), (4, 5), (4, 6), (4, 7), (4, 8), (4, 9), (4, 10), (4, 11), (4, 12), (4, 13), (4, 14), (4, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_20(
communication_list=[('q', 1)],
computation_list=[(5, 0), (5, 1), (5, 2), (5, 3), (5, 4), (5, 5), (5, 6), (5, 7), (5, 8), (5, 9), (5, 10), (5, 11), (5, 12), (5, 13), (5, 14), (5, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_21(
communication_list=[('q', 1)],
computation_list=[(6, 0), (6, 1), (6, 2), (6, 3), (6, 4), (6, 5), (6, 6), (6, 7), (6, 8), (6, 9), (6, 10), (6, 11), (6, 12), (6, 13), (6, 14), (6, 15)],
fine_grained_parts_list=[(['q'], 16)]
), Step_22(
communication_list=[],
computation_list=[],
fine_grained_parts_list=[([], 0)]
), Step_23(
communication_list=[('out', 1)],
computation_list=[(7, 0), (7, 1), (7, 2), (7, 3), (7, 4), (7, 5), (7, 6), (7, 7), (7, 8), (7, 9), (7, 10), (7, 11), (7, 12), (7, 13), (7, 14), (7, 15)],
fine_grained_parts_list=[(['out'], 16)]
), Step_24(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
), Step_25(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
), Step_26(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
), Step_27(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
), Step_28(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
), Step_29(
communication_list=[('out', 1)],
computation_list=[],
fine_grained_parts_list=[(['out'], 0)]
)],
"rank_99_fwd_comp_time_step_000(second)": 0.05397,
"rank_99_fwd_comp_time_step_001(second)": 0.07517,
"rank_99_fwd_comp_time_step_002(second)": 0.07510,
"rank_99_fwd_comp_time_step_003(second)": 0.07493,
"rank_99_fwd_comp_time_step_004(second)": 0.07499,