decent_bench.utils

• decent_bench.utils.array
  • Array
• decent_bench.utils.agent_utils
  • infer_client_data_size()
• decent_bench.utils.checkpoint_manager
  • CheckpointManager
• decent_bench.utils.interoperability
  • argmax()
  • argmin()
  • astype()
  • copy()
  • diag()
  • eye()
  • eye_like()
  • get_item()
  • max()
  • mean()
  • min()
  • norm()
  • ones_like()
  • reshape()
  • set_item()
  • shape()
  • squeeze()
  • stack()
  • sum()
  • to_array()
  • to_array_like()
  • to_numpy()
  • to_torch()
  • to_tensorflow()
  • to_jax()
  • transpose()
  • zeros()
  • zeros_like()
  • absolute()
  • add()
  • div()
  • dot()
  • matmul()
  • maximum()
  • mul()
  • negative()
  • power()
  • sign()
  • sqrt()
  • sub()
  • device_to_framework_device()
  • framework_device_of_array()
  • is_supported_array_type()
  • autodecorate_cost_method()
  • choice()
  • rng_numpy()
  • get_rng_state()
  • get_seed()
  • rng_tensorflow()
  • rng_torch()
  • set_rng_state()
  • set_seed()
  • uniform_like()
  • uniform()
  • normal()
  • normal_like()
  • rng_jax()
• decent_bench.utils.logger
  • LOGGER
  • LogQueue
  • start_logger()
  • start_log_listener()
  • start_queue_logger()
• decent_bench.utils.network_utils
  • plot_network()
• decent_bench.utils.progress_bar
  • ProgressBarHandle
  • ProgressBarController
• decent_bench.utils.pytorch_utils
  • SimpleLinearModel
  • ArgmaxActivation
  • ArgminActivation
• decent_bench.utils.types
  • NetworkT
  • ArrayLike
  • SupportedArrayTypes
  • InitialStates
  • LocalSteps
  • ArrayKey
  • EmpiricalRiskIndices
  • EmpiricalRiskReduction
  • EmpiricalRiskBatchSize
  • Datapoint
  • Dataset
  • SupportedFrameworks
  • SupportedDevices