本文整理匯總了Python中tensorflow.python.ops.array_ops.rank_internal方法的典型用法代碼示例。如果您正苦於以下問題：Python array_ops.rank_internal方法的具體用法？Python array_ops.rank_internal怎麽用？Python array_ops.rank_internal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.array_ops的用法示例。
在下文中一共展示了array_ops.rank_internal方法的2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: assert_variables_initialized
# 需要導入模塊: from tensorflow.python.ops import array_ops [as 別名]
# 或者: from tensorflow.python.ops.array_ops import rank_internal [as 別名]
def assert_variables_initialized(var_list=None):
"""Returns an Op to check if variables are initialized.
NOTE: This function is obsolete and will be removed in 6 months. Please
change your implementation to use `report_uninitialized_variables()`.
When run, the returned Op will raise the exception `FailedPreconditionError`
if any of the variables has not yet been initialized.
Note: This function is implemented by trying to fetch the values of the
variables. If one of the variables is not initialized a message may be
logged by the C++ runtime. This is expected.
Args:
var_list: List of `Variable` objects to check. Defaults to the
value of `global_variables().`
Returns:
An Op, or None if there are no variables.
"""
if var_list is None:
var_list = global_variables() + local_variables()
# Backwards compatibility for old-style variables. TODO(touts): remove.
if not var_list:
var_list = []
for op in ops.get_default_graph().get_operations():
if op.type in ["Variable", "VariableV2", "AutoReloadVariable"]:
var_list.append(op.outputs[0])
if not var_list:
return None
else:
ranks = []
for var in var_list:
with ops.colocate_with(var.op):
ranks.append(array_ops.rank_internal(var, optimize=False))
if len(ranks) == 1:
return ranks[0]
else:
return array_ops.stack(ranks) 示例2: assert_variables_initialized
# 需要導入模塊: from tensorflow.python.ops import array_ops [as 別名]
# 或者: from tensorflow.python.ops.array_ops import rank_internal [as 別名]
def assert_variables_initialized(var_list=None):
"""Returns an Op to check if variables are initialized.
NOTE: This function is obsolete and will be removed in 6 months. Please
change your implementation to use `report_uninitialized_variables()`.
When run, the returned Op will raise the exception `FailedPreconditionError`
if any of the variables has not yet been initialized.
Note: This function is implemented by trying to fetch the values of the
variables. If one of the variables is not initialized a message may be
logged by the C++ runtime. This is expected.
Args:
var_list: List of `Variable` objects to check. Defaults to the
value of `global_variables().`
Returns:
An Op, or None if there are no variables.
"""
if var_list is None:
var_list = global_variables() + local_variables()
# Backwards compatibility for old-style variables. TODO(touts): remove.
if not var_list:
var_list = []
for op in ops.get_default_graph().get_operations():
if op.type in ["Variable", "AutoReloadVariable"]:
var_list.append(op.outputs[0])
if not var_list:
return None
else:
ranks = []
for var in var_list:
with ops.colocate_with(var.op):
ranks.append(array_ops.rank_internal(var, optimize=False))
if len(ranks) == 1:
return ranks[0]
else:
return array_ops.pack(ranks)