fixed error (Python 2.7.12, OS X El Capitan, TensorFlow 0.12.0)

tensorflow.python.framework.errors.FailedPreconditionError: Attempting to use uninitialized value input_producer/limit_epochs/epochs [[Node: input_producer/limit_epochs/CountUpTo = CountUpToT=DT_INT64, _class=["loc:@input_producer/limit_epochs/epochs"], limit=1000000000, _device="/job:localhost/replica:0/task:0/cpu:0"]]

any idea about how to solve it?. thanks!

libpng warning: Application was compiled with png.h from libpng-1.6.22
libpng warning: Application  is  running with png.c from libpng-1.2.53
libpng error: Incompatible libpng version in application and library

Those conditions caused error:

TypeError: Using a `tf.Tensor` as a Python `bool` is not allowed. Use `if t is not None:` instead of `if t:` to test if a tensor is defined, and use the logical TensorFlow ops to test the value of a tensor.

On my OS X El Capitan, Python 2.7.11, Anaconda 4.0.0 and Tensorflow 0.8.0. With those fixes I was able to run a model.

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W1209 14:04:14.659156 34370101248 deprecation_wrapper.py:119] From train.py:159: The name tf.GraphDef is deprecated. Please use tf.compat.v1.GraphDef instead.

Traceback (most recent call last):
  File "train.py", line 160, in <module>
    graph_def.ParseFromString(fileContent)
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/message.py", line 187, in ParseFromString
    return self.MergeFromString(serialized)
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/python_message.py", line 1128, in MergeFromString
    if self._InternalParse(serialized, 0, length) != length:
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/python_message.py", line 1180, in InternalParse
    buffer, new_pos, wire_type)  # pylint: disable=protected-access
  File "/usr/local/lib/python3.6/site-packages/google/protobuf/internal/decoder.py", line 952, in _DecodeUnknownField
    raise _DecodeError('Wrong wire type in tag.')
google.protobuf.message.DecodeError: Wrong wire type in tag.

py36-tensorflow-1.14.0

filenames = sorted(glob.glob("../colornet//.jpg")) File "train.py", line 179, in colorimage = input_pipeline(filenames, batch_size, num_epochs=num_epochs) File "train.py", line 31, in input_pipeline filenames, num_epochs=num_epochs, shuffle=False)

i don't exactly know why i am facing this error.any solutions to it.

File "/home/atul/Desktop/train.py", line 196, in pred = colornet(tensors) File "/home/atul/Desktop/train.py", line 67, in colornet conv1 = tf.nn.relu(tf.nn.conv2d(batch_norm(_tensors["conv4_3"], 512, phase_train),_tensors["weights"]["wc1"], [1, 1, 1, 1], 'SAME')) File "/home/atul/Desktop/train.py", line 45, in batch_norm x = bn.normalize(x, train=phase_train) File "/home/atul/Desktop/batchnorm.py", line 45, in normalize if train: File "/home/atul/.local/lib/python2.7/site-packages/tensorflow/python/framework/ops.py", line 620, in nonzero raise TypeError("Using a tf.Tensor as a Python bool is not allowed. " TypeError: Using a tf.Tensor as a Python bool is not allowed. Use if t is not None: instead of if t: to test if a tensor is defined, and use TensorFlow ops such as tf.cond to execute subgraphs conditioned on the value of a tensor.

Traceback (most recent call last): File "train.py", line 160, in graph_def.ParseFromString(fileContent) google.protobuf.message.DecodeError: Error parsing messag