heter_ps_config.yaml

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# Licensed under the Apache License, Version 2.0 (the "License");
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#     http://www.apache.org/licenses/LICENSE-2.0
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hyper_parameters:
  optimizer:
    class: Adam
    learning_rate: 0.0001
    strategy: async    # 有用
  sparse_inputs_slots: 27
  sparse_feature_number: 1024
  sparse_feature_dim: 11
  dense_input_dim: 13
  fc_sizes: [512, 256, 128, 32]
  distributed_embedding: 0

runner:
  sync_mode: "heter"
  thread_num: 8
  micro_num: 8  # micro batch num for each thread
  pipeline: True
  
  model_path: "../ps_dnn_model.py"