我正在尝试使用Keras Dense图层制作基本的Adanet（tensorflow）目标示例，但检查点存在问题。 链接到示例： https://github.com/tensorflow/adanet/blob/master/adanet/examples/tutorials/adanet_objective.ipynb
您能帮忙解决此错误吗？
此代码可以正常工作：
def build_subnetwork(self,
features,
logits_dimension,
training,
iteration_step,
summary,
previous_ensemble=None):
input_layer = tf.to_float(features[FEATURES_KEY])
kernel_initializer = tf.glorot_uniform_initializer(seed=self._seed)
last_layer = input_layer
for _ in range(self._num_layers):
last_layer = tf.layers.dense(
last_layer,
units=self._layer_size,
activation=tf.nn.relu,
kernel_initializer=kernel_initializer)
logits = tf.layers.dense(
last_layer,
units=logits_dimension,
kernel_initializer=kernel_initializer)
persisted_tensors = {_NUM_LAYERS_KEY: tf.constant(self._num_layers)}
return adanet.Subnetwork(
last_layer=last_layer,
logits=logits,
complexity=self._measure_complexity(),
persisted_tensors=persisted_tensors)
此代码出现错误：
def build_subnetwork(self,
features,
logits_dimension,
training,
iteration_step,
summary,
previous_ensemble=None):
input_layer = tf.to_float(features[FEATURES_KEY])
kernel_initializer = tf.glorot_uniform_initializer(seed=self._seed)
last_layer = input_layer
for _ in range(self._num_layers):
last_layer = tf.keras.layers.Dense(
units=64, activation="relu", kernel_initializer=kernel_initializer,
use_bias=True, bias_initializer=kernel_initializer)(last_layer)
logits = tf.keras.layers.Dense(
units=2, activation=None, kernel_initializer=kernel_initializer,
use_bias=True, bias_initializer=kernel_initializer)(last_layer)
persisted_tensors = {_NUM_LAYERS_KEY: tf.constant(self._num_layers)}
return adanet.Subnetwork(
last_layer=last_layer,
logits=logits,
complexity=self._measure_complexity(),
persisted_tensors=persisted_tensors)
错误：
2019-07-19 07：54：58.178313：W tensorflow / core / framework / op_kernel.cc：1502] OP_REQUIRES在以下位置失败 save_restore_v2_ops.cc:184：找不到：密钥 找不到adanet / iteration_0 / subnetwork_t0_2_layer_dnn / dense / bias 检查点回溯（最近一次通话）：文件 “ C：\ Python37 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”， 1356行，_do_call中 返回fn（* args）文件“ C：\ Python37 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”， _run_fn中的第1341行 选项，feed_dict，fetch_list，target_list，run_metadata）文件“ C：\ Python37 \ lib \ site-packages \ tensorflow \ python \ client \ session.py”， 第1429行，在_call_tf_sessionrun中 run_metadata）
tensorflow.python.framework.errors_impl.NotFoundError：键 找不到adanet / iteration_0 / subnetwork_t0_2_layer_dnn / dense / bias 检查点[[{{node save / RestoreV2}}]]