perfkitbenchmarker/data/mlperf_inference_dlrm_offline_custom.py [81:108]:
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  use_small_tile_gemm_plugin = True


@ConfigRegistry.register(
    HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP
)
class CloudL4x1HighAccuracy(CloudL4x1):
  pass


@ConfigRegistry.register(
    HarnessType.Triton, AccuracyTarget.k_99, PowerSetting.MaxP
)
class CloudL4x1Triton(CloudL4x1):
  buffer_manager_thread_count = 8
  use_triton = True


@ConfigRegistry.register(
    HarnessType.Triton, AccuracyTarget.k_99_9, PowerSetting.MaxP
)
class CloudL4x1HighAccuracyTriton(CloudL4x1Triton):
  pass


@ConfigRegistry.register(
    HarnessType.Custom, AccuracyTarget.k_99, PowerSetting.MaxP
)
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perfkitbenchmarker/data/mlperf_inference_dlrm_server_custom.py [105:132]:
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  use_small_tile_gemm_plugin = True


@ConfigRegistry.register(
    HarnessType.Custom, AccuracyTarget.k_99_9, PowerSetting.MaxP
)
class CloudL4x1HighAccuracy(CloudL4x1):
  pass


@ConfigRegistry.register(
    HarnessType.Triton, AccuracyTarget.k_99, PowerSetting.MaxP
)
class CloudL4x1Triton(CloudL4x1):
  buffer_manager_thread_count = 8
  use_triton = True


@ConfigRegistry.register(
    HarnessType.Triton, AccuracyTarget.k_99_9, PowerSetting.MaxP
)
class CloudL4x1HighAccuracyTriton(CloudL4x1Triton):
  pass


@ConfigRegistry.register(
    HarnessType.Custom, AccuracyTarget.k_99, PowerSetting.MaxP
)
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