原文：https://stackoverflow.com/questions/36883949/in-tensorflow-get-the-names-of-all-the-tensors-in-a-graph
I’ll try to summarize the answers:
To get all nodes in the graph: (type tensorflow.core.framework.node_def_pb2.NodeDef)
all_nodes = [n for n in tf.get_default_graph().as_graph_def().node]
To get all ops in the graph: (type tensorflow.python.framework.ops.Operation)
all_ops = tf.get_default_graph().get_operations()
To get all variables in the graph: (type tensorflow.python.ops.resource_variable_ops.ResourceVariable)
all_vars = tf.global_variables()
To get all tensors in the graph: (type tensorflow.python.framework.ops.Tensor)
all_tensors = [tensor for op in tf.get_default_graph().get_operations() for tensor in op.values()]
To get all placeholders in the graph: (type tensorflow.python.framework.ops.Tensor)
all_placeholders = [placeholder for op in tf.get_default_graph().get_operations() if op.type=='Placeholder' for placeholder in op.values()]
Tensorflow 2
To get the graph in Tensorflow 2, instead of tf.get_default_graph() you need to instantiate a tf.function first and access the graph attribute, for example:
graph = func.get_concrete_function().graph
where func is a tf.function
