with tf.device(DEVICE): model = modellib.MaskRCNN(mode = "inference", model_dir = LOGS_DIR, config = config)

ValueError Traceback (most recent call last) /miniconda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py in _apply_op_helper(self, op_type_name, name, **keywords) 509 as_ref=input_arg.is_ref, --> 510 preferred_dtype=default_dtype) 511 except TypeError as err:

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/ops.py in internal_convert_to_tensor(value, dtype, name, as_ref, preferred_dtype, ctx) 1106 if ret is None: -> 1107 ret = conversion_func(value, dtype=dtype, name=name, as_ref=as_ref) 1108

/miniconda/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in _autopacking_conversion_function(v, dtype, name, as_ref) 959 return NotImplemented --> 960 return _autopacking_helper(v, inferred_dtype, name or "packed") 961

/miniconda/lib/python3.6/site-packages/tensorflow/python/ops/array_ops.py in _autopacking_helper(list_or_tuple, dtype, name) 921 elems_as_tensors.append( --> 922 constant_op.constant(elem, dtype=dtype, name=str(i))) 923 return gen_array_ops.pack(elems_as_tensors, name=scope)

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/constant_op.py in constant(value, dtype, shape, name, verify_shape) 195 tensor_util.make_tensor_proto( --> 196 value, dtype=dtype, shape=shape, verify_shape=verify_shape)) 197 dtype_value = attr_value_pb2.AttrValue(type=tensor_value.tensor.dtype)

/miniconda/lib/python3.6/site-packages/tensorflow/python/framework/tensor_util.py in make_tensor_proto(values, dtype, shape, verify_shape) 423 if values is None: --> 424 raise ValueError("None values not supported.") 425 # if dtype is provided, forces numpy array to be the type

ValueError: None values not supported.

During handling of the above exception, another exception occurred: