Writes a TensorFlow graph to the summary interface.
tf.contrib.summary.graph(
param, step=None, name=None
)
The graph summary is, strictly speaking, not a summary. Conditions
like tf.summary.should_record_summaries do not apply. Only
a single graph can be associated with a particular run. If multiple
graphs are written, then only the last one will be considered by
TensorBoard.
When not using eager execution mode, the user should consider passing
the graph parameter to tf.compat.v1.summary.initialize instead of
calling this function. Otherwise special care needs to be taken when
using the graph to record the graph.
Args |
|---|
param
|
A tf.Tensor containing a serialized graph proto. When
eager execution is enabled, this function will automatically
coerce tf.Graph, tf.compat.v1.GraphDef, and string types.
|
step
|
The global step variable. This doesn't have useful semantics
for graph summaries, but is used anyway, due to the structure of
event log files. This defaults to the global step.
|
name
|
A name for the operation (optional).
|
Returns |
|---|
The created tf.Operation or a tf.no_op if summary writing has
not been enabled for this context.
|
Raises |
|---|
TypeError
|
If param isn't already a tf.Tensor in graph mode.
|
View source on GitHub