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ac45ce07
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PaddleRec
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体验新版 GitCode,发现更多精彩内容 >>
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ac45ce07
编写于
4月 14, 2020
作者:
T
tangwei
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电子邮件补丁
差异文件
user define trainer
上级
7ea92706
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1 changed file
with
63 addition
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+63
-0
fleetrec/examples/ctr-dnn_train_userdefine.yaml
fleetrec/examples/ctr-dnn_train_userdefine.yaml
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fleetrec/examples/ctr-dnn_train_userdefine.yaml
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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.# Copyright (c) 2019 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.
train
:
threads
:
12
epochs
:
10
trainer
:
"
UserDefineTrainer"
location
:
"
/root/FleetRec/fleetrec/examples/user_define_trainer.py"
reader
:
batch_size
:
2
class
:
"
fleetrec.models.ctr_dnn.data_generator"
train_data_path
:
"
/root/FleetRec/fleetrec/models/ctr_dnn/data/train/"
model
:
models
:
"
fleetrec.models.ctr_dnn.model"
hyper_parameters
:
sparse_inputs_slots
:
27
sparse_feature_number
:
1000001
sparse_feature_dim
:
8
dense_input_dim
:
13
fc_sizes
:
[
512
,
256
,
128
,
32
]
learning_rate
:
0.001
save
:
increment
:
dirname
:
"
models_for_increment"
epoch_interval
:
2
save_last
:
True
inference
:
dirname
:
"
models_for_inference"
epoch_interval
:
4
save_last
:
True
evaluate
:
batch_size
:
32
train_thread_num
:
12
reader
:
"
reader.py"
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