# 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. import yaml from paddlerec.core.reader import Reader from paddlerec.core.utils import envs try: import cPickle as pickle except ImportError: import pickle import paddle.fluid.incubate.data_generator as dg class TrainReader(dg.MultiSlotDataGenerator): def __init__(self, config): dg.MultiSlotDataGenerator.__init__(self) if os.path.isfile(config): with open(config, 'r') as rb: _config = yaml.load(rb.read(), Loader=yaml.FullLoader) else: raise ValueError("reader config only support yaml") def init(self): pass def _process_line(self, line): line = line.strip().split(',') features = list(map(float, line)) wide_feat = features[0:8] deep_feat = features[8:58+8] label = int(features[-1]) return wide_feat, deep_feat, [label] def generate_sample(self, line): """ Read the data line by line and process it as a dictionary """ def data_iter(): wide_feat, deep_deat, label = self._process_line(line) s = "" for i in [('wide_input', wide_feat), ('deep_input', deep_deat), ('label', label)]: k = i[0] v = i[1] for j in v: s += " " + k + ":" + str(j) print s.strip() yield None return data_iter reader = TrainReader("../config.yaml") reader.init() reader.run_from_stdin()