本文整理汇总了Python中tensorflow.python.ops.control_flow_ops.IsLoopExit方法的典型用法代码示例。如果您正苦于以下问题：Python control_flow_ops.IsLoopExit方法的具体用法？Python control_flow_ops.IsLoopExit怎么用？Python control_flow_ops.IsLoopExit使用的例子？那么, 这里精选的方法代码示例或许可以为您提供帮助。您也可以进一步了解该方法所在类tensorflow.python.ops.control_flow_ops的用法示例。
在下文中一共展示了control_flow_ops.IsLoopExit方法的1个代码示例，这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞，您的评价将有助于系统推荐出更棒的Python代码示例。
示例1: _UpdatePendingAndEnqueueReady
# 需要导入模块: from tensorflow.python.ops import control_flow_ops [as 别名]
# 或者: from tensorflow.python.ops.control_flow_ops import IsLoopExit [as 别名]
def _UpdatePendingAndEnqueueReady(grads, op, queue, pending_count, loop_state):
"""Update pending count for the inputs of op and enqueue ready ops."""
for x in op.inputs:
# pylint: disable=protected-access
pending_count[x.op._id] -= 1
ready = (pending_count[x.op._id] == 0)
if loop_state and not ready:
ready = (pending_count[x.op._id] > 0 and
control_flow_ops.IsLoopSwitch(x.op))
# pylint: enable=protected-access
if ready:
if control_flow_ops.IsLoopExit(x.op):
# if x is an exit without real gradient, defer processing them.
grad_state = loop_state.GetGradState(x.op, before=False)
grad_state.deferred_exits.append(x)
grad_state.pending_exits_count -= 1
if grad_state.pending_exits_count == 0:
# We now have all the exits so process them.
has_real_grad = False
for y in grad_state.deferred_exits:
if _HasAnyNotNoneGrads(grads, y.op):
has_real_grad = True
queue.append(y.op)
else:
grad_state.unused_exits.append(y)
if has_real_grad:
# For an unused exit, if it has floating-point outputs, backprop
# a zero gradient. Otherwise, just ignore it.
for y in grad_state.unused_exits:
if _IsTrainable(y):
_SetGrad(grads, y, loop_state.ZerosLikeForExit(y))
queue.append(y.op)
else:
# All exits are "unused" so use None as gradient.
for y in grad_state.unused_exits:
queue.append(y.op)
else:
queue.append(x.op)