config_bigdata.yaml

# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

# global settings 

runner:
  train_data_dir: "../../../datasets/omniglot/omniglot_train"
  train_reader_path: "omniglot_reader" # importlib format
  use_gpu: True
  use_auc: False
  train_batch_size: 32
  epochs: 100
  print_interval: 10
  model_save_path: "output_model_all_maml"
  test_data_dir: "../../../datasets/omniglot/omniglot_test"
  infer_reader_path: "omniglot_reader" # importlib format
  infer_batch_size: 32
  infer_load_path: "output_model_all_maml"
  infer_start_epoch: 90
  infer_end_epoch: 100

# hyper parameters of user-defined network
hyper_parameters:
  # optimizer config
  meta_optimizer:
    class: Adam
    learning_rate: 0.001
    strategy: async
  base_optimizer:
    class: SGD
    learning_rate: 0.1
    strategy: async
  # user-defined <key, value> pairs
  update_step: 5
  update_step_test: 5
  n_way: 5
  k_spt: 1
  k_query: 15
  imgsize: 28
  conv_stride: 1
  conv_padding: 1
  conv_kernal: [3, 3]
  bn_channel: 64