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以下是我的项目代码的一部分。如何在TensorFlow中初始化tf.metrics成员?
with tf.name_scope("test_accuracy"):
test_mean_abs_err, test_mean_abs_err_op = tf.metrics.mean_absolute_error(labels=label_pl, predictions=test_eval_predict)
test_accuracy, test_accuracy_op = tf.metrics.accuracy(labels=label_pl, predictions=test_eval_predict)
test_precision, test_precision_op = tf.metrics.precision(labels=label_pl, predictions=test_eval_predict)
test_recall, test_recall_op = tf.metrics.recall(labels=label_pl, predictions=test_eval_predict)
test_f1_measure = 2 * test_precision * test_recall/(test_precision + test_recall)
tf.summary.scalar('test_mean_abs_err', test_mean_abs_err)
tf.summary.scalar('test_accuracy', test_accuracy)
tf.summary.scalar('test_precision', test_precision)
tf.summary.scalar('test_recall', test_recall)
tf.summary.scalar('test_f1_measure', test_f1_measure)
# validation metric init op
validation_metrics_init_op = tf.variables_initializer(\
var_list=[test_mean_abs_err_op, test_accuracy_op, test_precision_op, test_recall_op], \
name='validation_metrics_init')
然而,当我运行它,会出现这样的错误:
Traceback (most recent call last):
File "./run_dnn.py", line 285, in <module>
train(wnd_conf)
File "./run_dnn.py", line 89, in train
name='validation_metrics_init')
File "/export/local/anaconda2/lib/python2.7/site-
packages/tensorflow/python/ops/variables.py", line 1176, in
variables_initializer
return control_flow_ops.group(*[v.initializer for v in var_list], name=name)
AttributeError: 'Tensor' object has no attribute 'initializer'
我意识到,我不能创建一个验证初始化这样。当我保存新的检查点模型并应用新一轮验证时,我想重新计算相应的指标。所以,我必须重新初始化指标为零。
但是如何将所有这些指标重置为零?非常感谢您的帮助!