def detach_inputs(sgv, control_inputs=False):
"""Detach the inputs of a subgraph view.
Args:
sgv: the subgraph view to be detached. This argument is converted to a
subgraph using the same rules as the function subgraph.make_view.
Note that sgv is modified in place.
control_inputs: if True control_inputs are also detached.
Returns:
A tuple `(sgv, input_placeholders)` where
`sgv` is a new subgraph view of the detached subgraph;
`input_placeholders` is a list of the created input placeholders.
Raises:
StandardError: if sgv cannot be converted to a SubGraphView using
the same rules than the function subgraph.make_view.
"""
sgv = subgraph.make_view(sgv)
with sgv.graph.as_default():
input_placeholders = [
tf_array_ops.placeholder(
dtype=input_t.dtype, name=util.placeholder_name(input_t))
for input_t in sgv.inputs
]
reroute.swap_inputs(sgv, input_placeholders)
if control_inputs:
detach_control_inputs(sgv)
return sgv, input_placeholders
def detach_inputs(sgv):
"""Detach the inputs of a subgraph view.
Args:
sgv: the subgraph view to be detached. This argument is converted to a
subgraph using the same rules than the function subgraph.make_view.
Returns:
A new subgraph view of the detached subgraph.
Note that sgv is also modified in place.
Raises:
StandardError: if sgv cannot be converted to a SubGraphView using
the same rules than the function subgraph.make_view.
"""
sgv = subgraph.make_view(sgv)
with sgv.graph.as_default():
input_placeholders = [
tf_array_ops.placeholder(dtype=input_t.dtype,
name=util.placeholder_name(input_t))
for input_t in sgv.inputs
]
return swap_inputs(sgv, input_placeholders)
def detach_inputs(sgv):
"""Detach the inputs of a subgraph view.
Args:
sgv: the subgraph view to be detached. This argument is converted to a
subgraph using the same rules than the function subgraph.make_view.
Returns:
A new subgraph view of the detached subgraph.
Note that sgv is also modified in place.
Raises:
StandardError: if sgv cannot be converted to a SubGraphView using
the same rules than the function subgraph.make_view.
"""
sgv = subgraph.make_view(sgv)
with sgv.graph.as_default():
input_placeholders = [
tf_array_ops.placeholder(dtype=input_t.dtype,
name=util.placeholder_name(input_t))
for input_t in sgv.inputs
]
return swap_inputs(sgv, input_placeholders)