wehub-resource-sync
56 lines
1.7 KiB
YAML
Executable File
56 lines
1.7 KiB
YAML
Executable File
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# workspace
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#workspace: "models/rank/dnn"
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runner:
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train_data_dir: "data/sample_data/train"
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train_reader_path: "criteo_reader" # importlib format
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use_gpu: True
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use_auc: False
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train_batch_size: 32
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epochs: 3
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print_interval: 10
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model_save_path: "output_model_dnn_queue"
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sync_mode: "gpubox"
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thread_num: 30
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reader_type: "InmemoryDataset" # DataLoader / QueueDataset / RecDataset / InmemoryDataset
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pipe_command: "python dataset_generator_criteo.py"
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dataset_debug: False
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split_file_list: False
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infer_batch_size: 2
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infer_reader_path: "criteo_reader" # importlib format
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test_data_dir: "data/sample_data/train"
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infer_load_path: "output_model_dnn_queue"
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infer_start_epoch: 0
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infer_end_epoch: 3
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# hyper parameters of user-defined network
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hyper_parameters:
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# optimizer config
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optimizer:
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class: Adam
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learning_rate: 0.001
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strategy: async
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# user-defined <key, value> pairs
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sparse_inputs_slots: 27
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sparse_feature_number: 1024
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sparse_feature_dim: 9
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dense_input_dim: 13
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fc_sizes: [512, 256, 128, 32]
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distributed_embedding: 0
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