data_set_helpers_RHL.py 文件源码

def __init__(self, files_list, thread_count, batch_size, numcep, numcontext, next_index=lambda x: x + 1):
        self._coord = None
        self._numcep = numcep
        self._x = tf.placeholder(tf.float32, [None, numcep + (2 * numcep * numcontext)])
        self._x_length = tf.placeholder(tf.int32, [])
        self._y = tf.placeholder(tf.int32, [None,])
        self._y_length = tf.placeholder(tf.int32, [])
        self.example_queue = tf.PaddingFIFOQueue(shapes=[[None, numcep + (2 * numcep * numcontext)], [], [None,], []],
                                                  dtypes=[tf.float32, tf.int32, tf.int32, tf.int32],
                                                  capacity=2 * self._get_device_count() * batch_size)
        self._enqueue_op = self.example_queue.enqueue([self._x, self._x_length, self._y, self._y_length])
        self._close_op = self.example_queue.close(cancel_pending_enqueues=True)
        self.batch_size = batch_size
        self._numcontext = numcontext
        self._thread_count = thread_count
        self._files_list = self._create_files_list(files_list)
        self._next_index = next_index