我使用二进制数据来训练DNN.
但tf.train.shuffle_batch和tf.train.batch让我迷惑.
这是我的代码,我会对它进行一些测试.
第一Using_Queues_Lib.py:
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import os
from six.moves import xrange # pylint: disable=redefined-builtin
import tensorflow as tf
NUM_EXAMPLES_PER_EPOCH_FOR_TRAIN = 100
REAL32_BYTES=4
def read_dataset(filename_queue,data_length,label_length):
class Record(object):
pass
result = Record()
result_data = data_length*REAL32_BYTES
result_label = label_length*REAL32_BYTES
record_bytes = result_data + result_label
reader = tf.FixedLengthRecordReader(record_bytes=record_bytes)
result.key, value = reader.read(filename_queue)
record_bytes = tf.decode_raw(value, tf.float32)
result.data = tf.strided_slice(record_bytes, [0],[data_length])#record_bytes: tf.float list
result.label = tf.strided_slice(record_bytes, …