---------------------------------------------------------------------------
ValueError                                Traceback (most recent call last)
<ipython-input-6-9862564a0bb2> in <module>()
----> 1 model, result = vgg16_py3.process_image_fc2('/mipt_mln/data/train/00002.jpg')

/anaconda3/lib/python3.5/site-packages/vgg16_py3.py in process_image_fc2(fname, layer)
    259     img1 = imresize(img1, (224, 224))
    260
--> 261     print(vgg.fc2[:20])
    262     return vgg, sess.run(vgg.fc2, feed_dict={vgg.imgs: [img1]})
    263

/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py in _SliceHelper(tensor, slice_spec)
    336       sizes.append(1)
    337       squeeze_dims.append(dim)
--> 338   sliced = slice(tensor, indices, sizes)
    339   if squeeze_dims:
    340     return squeeze(sliced, squeeze_dims=squeeze_dims)

/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py in slice(input_, begin, size, name)
    386     A `Tensor` the same type as `input`.
    387   """
--> 388   return gen_array_ops._slice(input_, begin, size, name=name)
    389
    390

/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/gen_array_ops.py in _slice(input, begin, size, name)
   1999   """
   2000   result = _op_def_lib.apply_op("Slice", input=input, begin=begin, size=size,
-> 2001                                 name=name)
   2002   return result
   2003

/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/op_def_library.py in apply_op(self, op_type_name, name, **keywords)
    701           op = g.create_op(op_type_name, inputs, output_types, name=scope,
    702                            input_types=input_types, attrs=attr_protos,
--> 703                            op_def=op_def)
    704           outputs = op.outputs
    705           return _Restructure(ops.convert_n_to_tensor(outputs),

/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py in create_op(self, op_type, inputs, dtypes, input_types, name, attrs, op_def, compute_shapes, compute_device)
   2310                     original_op=self._default_original_op, op_def=op_def)
   2311     if compute_shapes:
-> 2312       set_shapes_for_outputs(ret)
   2313     self._add_op(ret)
   2314     self._record_op_seen_by_control_dependencies(ret)

/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/ops.py in set_shapes_for_outputs(op)
   1702       raise RuntimeError("No shape function registered for standard op: %s"
   1703                          % op.type)
-> 1704   shapes = shape_func(op)
   1705   if shapes is None:
   1706     raise RuntimeError(

/anaconda3/lib/python3.5/site-packages/tensorflow/python/ops/array_ops.py in _SliceShape(op)
   1508   ndims = begin_shape.merge_with(sizes_shape)[0].value
   1509   if ndims is not None:
-> 1510     input_shape.assert_has_rank(ndims)
   1511   begin_value = tensor_util.constant_value(op.inputs[1])
   1512   sizes_value = tensor_util.constant_value(op.inputs[2])

/anaconda3/lib/python3.5/site-packages/tensorflow/python/framework/tensor_shape.py in assert_has_rank(self, rank)
    619     """
    620     if self.ndims not in (None, rank):
--> 621       raise ValueError("Shape %s must have rank %d" % (self, rank))
    622
    623   def with_rank(self, rank):

ValueError: Shape (?, 4096) must have rank 1