None values not supported.

[xtarx]

When trying to use "svhn" on ALI model

or my own dataset similar to the "mnist_data.py" I get None values not supported. when running the training

Mias dimensions  (50000, 28, 28, 1)

Data shape is  (28, 28, 1)
load data  28 28 1
inputs_per_gpu  Tensor("Tower_0/strided_slice:0", shape=(100, 28, 28, 1), dtype=float32, device=/device:GPU:0)
Encoder inps  Tensor("Tower_0/strided_slice:0", shape=(100, 28, 28, 1), dtype=float32, device=/device:GPU:0)
Traceback (most recent call last):
  File "/home/user/tee/deployedProjects/tf-ali/main.py", line 58, in <module>
    tf.app.run()
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/platform/app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "/home/user/tee/deployedProjects/tf-ali/main.py", line 45, in main
    z_dist=FLAGS.z_dist
  File "/home/user/tee/deployedProjects/tf-ali/ALI.py", line 45, in __init__
    self.build_model()
  File "/home/user/tee/deployedProjects/tf-ali/ALI.py", line 90, in build_model
    self.build_model_per_gpu(inputs_per_gpu)
  File "/home/user/tee/deployedProjects/tf-ali/ALI.py", line 131, in build_model_per_gpu
    D_n, D_n_logits = self.discriminator(reconst_x, squeeze_eps, reuse=True)
  File "/home/user/tee/deployedProjects/tf-ali/ALI.py", line 153, in discriminator
    net = slim.conv2d(x_inputs, 32, [5, 5], 2, scope='conv1')
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/contrib/framework/python/ops/arg_scope.py", line 181, in func_with_args
    return func(*args, **current_args)
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/contrib/layers/python/layers/layers.py", line 914, in convolution
    inputs = ops.convert_to_tensor(inputs)
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 676, in convert_to_tensor
    as_ref=False)
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/framework/ops.py", line 741, in internal_convert_to_tensor
    ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/framework/constant_op.py", line 113, in _constant_tensor_conversion_function
    return constant(v, dtype=dtype, name=name)
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/framework/constant_op.py", line 102, in constant
    tensor_util.make_tensor_proto(value, dtype=dtype, shape=shape, verify_shape=verify_shape))
  File "/home/user/.local/lib/python3.5/site-packages/tensorflow/python/framework/tensor_util.py", line 364, in make_tensor_proto
    raise ValueError("None values not supported.")
ValueError: None values not supported.