tf.summary.graph

Writes a TensorFlow graph summary.

tf.summary.graph( graph_data )

Write an instance of tf.Graph or tf.compat.v1.GraphDef as summary only in an eager mode. Please prefer to use the trace APIs (tf.summary.trace_on, tf.summary.trace_off, and tf.summary.trace_export) when using tf.function which can automatically collect and record graphs from executions.

Usage Example:

writer = tf.summary.create_file_writer("/tmp/mylogs") @tf.function def f(): x = constant_op.constant(2) y = constant_op.constant(3) return x**y with writer.as_default(): tf.summary.graph(f.get_concrete_function().graph) # Another example: in a very rare use case, when you are dealing with a TF v1 # graph. graph = tf.Graph() with graph.as_default(): c = tf.constant(30.0) with writer.as_default(): tf.summary.graph(graph)

graph_data The TensorFlow graph to write, as a tf.Graph or a tf.compat.v1.GraphDef.

True on success, or False if no summary was written because no default summary writer was available.

ValueError graph summary API is invoked in a graph mode.