static tensorflow.Status |
tensorflow.AddSymbolicGradients(tensorflow.NodeOut y_node_outputs,
tensorflow.NodeOut x_node_outputs,
tensorflow.NodeOut y_grad_node_outputs,
tensorflow.NodeOut x_grad_node_outputs,
tensorflow.Graph graph) |
static tensorflow.Status |
tensorflow.ConvertGraphDefToGraph(tensorflow.GraphConstructorOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g) |
static tensorflow.Status |
tensorflow.ConvertNodeDefsToGraph(tensorflow.GraphConstructorOptions opts,
tensorflow.NodeDef nodes,
tensorflow.Graph g) |
static void |
tensorflow.CopyGraph(tensorflow.Graph src,
tensorflow.Graph dest) |
tensorflow.Status |
tensorflow.Device.FillContextMap(tensorflow.Graph graph,
tensorflow.DeviceContextVector device_context_map) |
tensorflow.Status |
tensorflow.NodeBuilder.Finalize(tensorflow.Graph graph,
PointerPointer created_node) |
tensorflow.Status |
tensorflow.NodeBuilder.Finalize(tensorflow.Graph graph,
tensorflow.Node created_node) |
static tensorflow.Status |
tensorflow.ImportGraphDef(tensorflow.ImportGraphDefOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g,
tensorflow.ShapeRefiner refiner) |
static tensorflow.Status |
tensorflow.ImportGraphDef(tensorflow.ImportGraphDefOptions opts,
tensorflow.GraphDef gdef,
tensorflow.Graph g,
tensorflow.ShapeRefiner refiner,
tensorflow.ImportGraphDefResults results) |
tensorflow.Status |
tensorflow.Device.MaybeRewriteGraph(tensorflow.Graph arg0) |
tensorflow.Status |
tensorflow.GraphRunner.Run(tensorflow.Graph graph,
tensorflow.FunctionLibraryRuntime function_library,
tensorflow.StringTensorPairVector inputs,
tensorflow.StringVector output_names,
tensorflow.TensorVector outputs) |
tensorflow.Status |
tensorflow.Scope.ToGraph(tensorflow.Graph g)
If status() is Status::OK(), construct a Graph object using the default
GraphConstructorOptions, and return Status::OK if graph construction was
successful.
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