本文整理匯總了Python中tensorflow.python.ops.control_flow_ops.MaybeCreateControlFlowState方法的典型用法代碼示例。如果您正苦於以下問題：Python control_flow_ops.MaybeCreateControlFlowState方法的具體用法？Python control_flow_ops.MaybeCreateControlFlowState怎麽用？Python control_flow_ops.MaybeCreateControlFlowState使用的例子？那麽, 這裏精選的方法代碼示例或許可以為您提供幫助。您也可以進一步了解該方法所在類tensorflow.python.ops.control_flow_ops的用法示例。
在下文中一共展示了control_flow_ops.MaybeCreateControlFlowState方法的1個代碼示例，這些例子默認根據受歡迎程度排序。您可以為喜歡或者感覺有用的代碼點讚，您的評價將有助於係統推薦出更棒的Python代碼示例。
示例1: _PendingCount
# 需要導入模塊: from tensorflow.python.ops import control_flow_ops [as 別名]
# 或者: from tensorflow.python.ops.control_flow_ops import MaybeCreateControlFlowState [as 別名]
def _PendingCount(graph, to_ops, from_ops, colocate_gradients_with_ops):
"""Initialize the pending count for ops between two lists of Operations.
'pending_count[op._id]' indicates the number of backprop inputs
to this operation.
Args:
graph: a Graph.
to_ops: list of Operations.
from_ops: list of Operations.
colocate_gradients_with_ops: Python bool. See docstring of gradients().
Returns:
A tuple containing: (1) a list of integers indexed by operation id,
indicating the number of backprop inputs to this operation, and (2)
a ControlFlowState object which is not None if the ops between from_ops
and to_ops contain control flow loops.
"""
# Mark reachable ops from from_ops.
reached_ops = [False] * (graph._last_id + 1)
for op in to_ops:
reached_ops[op._id] = True
_MarkReachedOps(from_ops, reached_ops)
# Mark between ops.
between_ops = [False] * (graph._last_id + 1)
between_op_list = []
queue = collections.deque()
queue.extend(to_ops)
while queue:
op = queue.popleft()
# We are interested in this op.
if reached_ops[op._id]:
between_ops[op._id] = True
between_op_list.append(op)
# Clear the boolean so we won't add the inputs again.
reached_ops[op._id] = False
for inp in op.inputs:
queue.append(inp.op)
# 'loop_state' is None if there are no while loops.
loop_state = control_flow_ops.MaybeCreateControlFlowState(
between_op_list, between_ops, colocate_gradients_with_ops)
# Initialize pending count for between ops.
pending_count = [0] * (graph._last_id + 1)
for op in between_op_list:
for x in op.inputs:
if between_ops[x.op._id]:
pending_count[x.op._id] += 1
return pending_count, loop_state