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- # 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.
- # workspace
- #workspace: "models/rank/dnn"
- runner:
- train_data_dir: "data/sample_data/train"
- train_reader_path: "criteo_reader" # importlib format
- use_gpu: True
- use_auc: True
- train_batch_size: 32
- epochs: 3
- print_interval: 10
- model_save_path: "output_model_dnn_queue"
- sync_mode: "gpubox"
- thread_num: 30
- reader_type: "InmemoryDataset" # DataLoader / QueueDataset / RecDataset / InmemoryDataset
- pipe_command: "python models/rank/dnn/queuedataset_reader.py"
- dataset_debug: False
- split_file_list: False
- infer_batch_size: 2
- infer_reader_path: "criteo_reader" # importlib format
- test_data_dir: "data/sample_data/train"
- infer_load_path: "output_model_dnn_queue"
- infer_start_epoch: 0
- infer_end_epoch: 3
- # hyper parameters of user-defined network
- hyper_parameters:
- # optimizer config
- optimizer:
- class: Adam
- learning_rate: 0.001
- strategy: async
- # user-defined <key, value> pairs
- sparse_inputs_slots: 27
- sparse_feature_number: 1024
- sparse_feature_dim: 9
- dense_input_dim: 13
- fc_sizes: [512, 256, 128, 32]
- distributed_embedding: 0
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