er.py

gistfile1.py

TypeError                                 Traceback (most recent call last)
<ipython-input-10-394d9d79c99b> in <module>()
     67 # training pipeline
     68 lr = 0.001
---> 69 logits = my_net(x, n_classes=n_classes)
     70 cross_entropy = tf.nn.sparse_softmax_cross_entropy_with_logits(logits=logits, labels=y)
     71 loss_function = tf.reduce_mean(cross_entropy)

<ipython-input-10-394d9d79c99b> in my_net(x, n_classes)
     42     drop2 = tf.nn.dropout(pool2, keep_prob=keep_prob)
     43 
---> 44     fc0 = tf.concat(1, [flatten(drop1), flatten(drop2)])
     45 
     46     fc1_out = 64

/usr/local/lib/python3.4/dist-packages/tensorflow/python/ops/array_ops.py in concat(values, axis, name)
   1170       ops.convert_to_tensor(
   1171           axis, name="concat_dim",
-> 1172           dtype=dtypes.int32).get_shape().assert_is_compatible_with(
   1173               tensor_shape.scalar())
   1174       return identity(values[0], name=scope)

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py in convert_to_tensor(value, dtype, name, preferred_dtype)
    944       name=name,
    945       preferred_dtype=preferred_dtype,
--> 946       as_ref=False)
    947 
    948 

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx)
   1034 
   1035     if ret is None:
-> 1036       ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref)
   1037 
   1038     if ret is NotImplemented:

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/constant_op.py in _constant_tensor_conversion_function(v, dtype, name, as_ref)
    233                                          as_ref=False):
    234   _ = as_ref
--> 235   return constant(v, dtype=dtype, name=name)
    236 
    237 

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name, verify_shape)
    212   tensor_value.tensor.CopyFrom(
    213       tensor_util.make_tensor_proto(
--> 214           value, dtype=dtype, shape=shape, verify_shape=verify_shape))
    215   dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)
    216   const_tensor = g.create_op(

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape)
    431       nparray = np.empty(shape, dtype=np_dt)
    432     else:
--> 433       _AssertCompatible(values, dtype)
    434       nparray = np.array(values, dtype=np_dt)
    435       # check to them.

/usr/local/lib/python3.4/dist-packages/tensorflow/python/framework/tensor_util.py in _AssertCompatible(values, dtype)
    342     else:
    343       raise TypeError("Expected %s, got %s of type '%s' instead." %
--> 344                       (dtype.name, repr(mismatch), type(mismatch).__name__))
    345 
    346 

TypeError: Expected int32, got list containing Tensors of type '_Message' instead.