keras的get_value运行越来越慢的解决方案

import tensorflow.keras.backend as K

def get_my_session(gpu_fraction=0.1):
    '''Assume that you have 6GB of GPU memory and want to allocate ~2GB'''

    num_threads = os.environ.get('OMP_NUM_THREADS')
    gpu_options = tf.GPUOptions(per_process_gpu_memory_fraction=gpu_fraction)

    if num_threads:
        return tf.Session(config=tf.ConfigProto(
            gpu_options=gpu_options, intra_op_parallelism_threads=num_threads))
    else:
        return tf.Session(config=tf.ConfigProto(gpu_options=gpu_options))

K.set_session(get_my_session())

output = ctc_decode(y_pred,input_length=input_length,)
output = output[0][0]
out = output.eval(session=get_my_session())
# 删除 K.get_value(out[0][0])
tf.reset_default_graph() # 然后重置tf图，这句很关键

import tensorflow.keras.backend as K
def __init__(self, **kwargs):
    self.__dict__.update(self._defaults) # set up default values
    self.__dict__.update(kwargs) # and update with user overrides
    self.class_names = self._get_class()
    self.anchors = self._get_anchors()
    self.sess = K.get_session()

import tensorflow.python.keras.backend as K
sess = K.get_session()

import tensorflow as tf
sess = tf.compat.v1.keras.backend.get_session()