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Paddle/demo/recommendation/common_utils.py

29 lines
1.2 KiB

# Copyright (c) 2016 Baidu, Inc. 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.
from paddle.trainer.PyDataProvider2 import *
def meta_to_header(meta, name):
metas = meta[name]['__meta__']['raw_meta']
for each_meta in metas:
if each_meta['type'] == 'id':
yield integer_value(each_meta['max'])
elif each_meta['type'] == 'embedding':
is_seq = each_meta['seq'] == 'sequence'
yield integer_value(len(each_meta['dict']),
seq_type=SequenceType.SEQUENCE if is_seq
else SequenceType.NO_SEQUENCE)
elif each_meta['type'] == 'one_hot_dense':
yield dense_vector(len(each_meta['dict']))