本文整理汇总了Python中tensorflow.python.ops.gen_math_ops.less_equal方法的典型用法代码示例。如果您正苦于以下问题：Python gen_math_ops.less_equal方法的具体用法？Python gen_math_ops.less_equal怎么用？Python gen_math_ops.less_equal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.gen_math_ops的用法示例。
在下文中一共展示了gen_math_ops.less_equal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: apply_gradients
# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import less_equal [as 别名]
def apply_gradients(self, grads_and_vars, global_step=None, name=None):
gradients = []
# Number of stale gradients.
stale_counter = variable_scope.get_variable(
"stale_counter", [],
initializer=init_ops.zeros_initializer(),
trainable=False)
def _AcceptGradientOp():
with ops.control_dependencies(
[self._opt.apply_gradients(
grads_and_vars, global_step=global_step, name=name)]):
return gen_array_ops.identity(0.0)
def _DropGradientOp():
return gen_array_ops.identity(1.0)
for grad_and_var in grads_and_vars:
grad = grad_and_var[0]
if isinstance(grad, ops.Tensor):
gradients.append(grad)
elif grad is not None:
gradients.append(grad.op)
with ops.control_dependencies(gradients), ops.colocate_with(global_step):
staleness = gen_array_ops.reshape(
global_step - self._local_step, shape=())
conditional_update = stale_counter.assign_add(control_flow_ops.cond(
gen_math_ops.less_equal(staleness, self._staleness),
_AcceptGradientOp, _DropGradientOp))
summary.scalar(
"Gradient staleness percentage",
stale_counter / (math_ops.cast(global_step + 1, dtypes.float32)))
return conditional_update