tensorflow因爲未初始化變量所致使的錯誤

 

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初始代碼

import pandas as pd import numpy as np import tensorflow as tf train_input_data = pd.read_excel('new_data/4.12.2.xlsx',header=None,sheetname='train') train_input_data = np.array(train_input_data).ravel() train_input_data = list(train_input_data) train_input_data = tf.constant(train_input_data,dtype=tf.float32) train_output_data = train_input_data test_input_data = pd.read_excel('new_data/4.12.2.xlsx',header=None,sheetname='test') test_input_data = np.array(test_input_data).ravel() test_input_data = list(test_input_data) test_input_data = tf.constant(test_input_data,shape=[270,1],dtype=tf.float32) test_output_data = test_input_data print(type(train_input_data)) fc_mean, fc_var = tf.nn.moments(train_input_data,axes=[0]) scale = tf.Variable(tf.ones([1])) shift = tf.Variable(tf.zeros([1])) epslion = 0.001 train_input_data = tf.nn.batch_normalization(train_input_data,fc_mean,fc_var,shift,scale,epslion) sess = tf.Session() sess.run(train_input_data)

 

報錯：

Traceback (most recent call last):
  File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1327, in _do_call return fn(*args) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1306, in _run_fn status, run_metadata) File "/Users/zhangjia/anaconda/lib/python3.6/contextlib.py", line 89, in __exit__ next(self.gen) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status pywrap_tensorflow.TF_GetCode(status)) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value Variable_1 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1)]] During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/Users/zhangjia/PycharmProjects/太陽能預測/test.py", line 30, in <module> a = sess.run(train_input_data) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 895, in run run_metadata_ptr) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1124, in _run feed_dict_tensor, options, run_metadata) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1321, in _do_run options, run_metadata) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/client/session.py", line 1340, in _do_call raise type(e)(node_def, op, message) tensorflow.python.framework.errors_impl.FailedPreconditionError: Attempting to use uninitialized value Variable_1 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1)]] Caused by op 'Variable_1/read', defined at: File "/Users/zhangjia/PycharmProjects/太陽能預測/test.py", line 21, in <module> shift = tf.Variable(tf.zeros([1])) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 199, in __init__ expected_shape=expected_shape) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/variables.py", line 330, in _init_from_args self._snapshot = array_ops.identity(self._variable, name="read") File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/ops/gen_array_ops.py", line 1400, in identity result = _op_def_lib.apply_op("Identity", input=input, name=name) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py", line 767, in apply_op op_def=op_def) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 2630, in create_op original_op=self._default_original_op, op_def=op_def) File "/Users/zhangjia/anaconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py", line 1204, in __init__ self._traceback = self._graph._extract_stack() # pylint: disable=protected-access FailedPreconditionError (see above for traceback): Attempting to use uninitialized value Variable_1 [[Node: Variable_1/read = Identity[T=DT_FLOAT, _class=["loc:@Variable_1"], _device="/job:localhost/replica:0/task:0/cpu:0"](Variable_1)]]

錯誤緣由：

在初始的代碼中，因爲沒有使用tf.global_variables_initializer()函數來對變量初始化，致使代碼出現錯誤

解決方法：

在代碼中加入tf.global_variables_initializer()函數來對數據進行初始化以後即可解決

正確代碼

import pandas as pd import numpy as np import tensorflow as tf train_input_data = pd.read_excel('new_data/4.12.2.xlsx',header=None,sheetname='train') train_input_data = np.array(train_input_data).ravel() train_input_data = list(train_input_data) train_input_data = tf.constant(train_input_data,dtype=tf.float32) train_output_data = train_input_data test_input_data = pd.read_excel('new_data/4.12.2.xlsx',header=None,sheetname='test') test_input_data = np.array(test_input_data).ravel() test_input_data = list(test_input_data) test_input_data = tf.constant(test_input_data,shape=[270,1],dtype=tf.float32) test_output_data = test_input_data fc_mean, fc_var = tf.nn.moments(train_input_data,axes=[0]) scale = tf.Variable(tf.ones([1])) shift = tf.Variable(tf.zeros([1])) epslion = 0.001 train_input_data = tf.nn.batch_normalization(train_input_data,fc_mean,fc_var,shift,scale,epslion) sess = tf.Session() init = tf.global_variables_initializer() sess.run(init)

data, vocabulary = prepare_test_data(config)

model = CaptionGenerator(config)

init = tf.global_variables_initializer()

sess.run(init)

model.load(sess, FLAGS.model_file)

tf.get_default_graph().finalize()

model.test(sess, data, vocabulary)