def _capture_tensor_as_extra_input(self, tensor, name=None):
# Substitute with a placeholder.
self.extra_inputs.append(tensor)
# Hoist the new input placeholder out of any control flow context
# we're currently in.
with ops.control_dependencies(None):
ph = array_ops.placeholder(tensor.dtype,
shape=tensor.get_shape(),
name=name)
# pylint: disable=protected-access
if ops._USE_C_SHAPES:
if isinstance(tensor, ops.EagerTensor):
handle_data = tensor._handle_data
if handle_data:
handle_data = handle_data.SerializeToString()
else:
handle_data = c_api.GetResourceHandleShapeAndType(
tensor.graph._c_graph, tensor._as_tf_output())
if handle_data:
c_api.SetResourceHandleShapeAndType(
ph.graph._c_graph, ph._as_tf_output(),
compat.as_bytes(handle_data))
else:
ph._handle_data = tensor._handle_data
# pylint: enable=protected-access
self.inputs.append(ph)
self._captured[tensor] = ph
self.extra_args.append(ph)
if _is_guaranteed_const(tensor):
with ops.control_dependencies(None):
return array_ops.guarantee_const(ph)
else:
return ph
def get_resource_handle_data(graph_op):
assert ops._USE_C_SHAPES # pylint: disable=protected-access
assert type(graph_op) == ops.Tensor # pylint: disable=unidiomatic-typecheck
handle_data = pywrap_tensorflow.GetResourceHandleShapeAndType(
graph_op.graph._c_graph, graph_op._as_tf_output()) # pylint: disable=protected-access
return cpp_shape_inference_pb2.CppShapeInferenceResult.HandleData.FromString(
compat.as_bytes(handle_data))