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Method _add_function

tensorflow/python/framework/ops.py:3267–3297  ·  view source on GitHub ↗

Adds a function to the graph. After the function has been added, you can call to the function by passing the function name in place of an op name to `Graph.create_op()`. Args: function: A `_DefinedFunction` object. Raises: ValueError: if another function is defined

(self, function)

Source from the content-addressed store, hash-verified

3265 return self._functions.get(compat.as_str(name), None)
3266
3267 def _add_function(self, function):
3268 """Adds a function to the graph.
3269
3270 After the function has been added, you can call to the function by
3271 passing the function name in place of an op name to
3272 `Graph.create_op()`.
3273
3274 Args:
3275 function: A `_DefinedFunction` object.
3276
3277 Raises:
3278 ValueError: if another function is defined with the same name.
3279 """
3280 name = function.name
3281 # Sanity checks on gradient definition.
3282 if (function.grad_func_name is not None) and (function.python_grad_func is
3283 not None):
3284 raise ValueError("Gradient defined twice for function %s" % name)
3285
3286 # Add function to graph
3287 # pylint: disable=protected-access
3288 gradient = (
3289 function._grad_func._c_func.func if function._grad_func else None)
3290 c_api.TF_GraphCopyFunction(self._c_graph, function._c_func.func, gradient)
3291 # pylint: enable=protected-access
3292
3293 self._functions[compat.as_str(name)] = function
3294
3295 # Need a new-enough consumer to support the functions we add to the graph.
3296 if self._graph_def_versions.min_consumer < 12:
3297 self._graph_def_versions.min_consumer = 12
3298
3299 @property
3300 def building_function(self):

Callers 3

add_to_graphMethod · 0.45
add_to_graphMethod · 0.45
pruneMethod · 0.45

Calls

no outgoing calls

Tested by

no test coverage detected