本文整理汇总了Python中tensorflow.python.framework.ops.set_shapes_for_outputs方法的典型用法代码示例。如果您正苦于以下问题：Python ops.set_shapes_for_outputs方法的具体用法？Python ops.set_shapes_for_outputs怎么用？Python ops.set_shapes_for_outputs使用的例子？那么恭喜您, 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.framework.ops的用法示例。
在下文中一共展示了ops.set_shapes_for_outputs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: calculate_graph_metrics
# 需要导入模块: from tensorflow.python.framework import ops [as 别名]
# 或者: from tensorflow.python.framework.ops import set_shapes_for_outputs [as 别名]
def calculate_graph_metrics(graph_def, statistic_types, input_layer,
input_shape_override, batch_size):
"""Looks at the performance statistics of all nodes in the graph."""
_ = tf.import_graph_def(graph_def, name="")
total_stats = {}
node_stats = {}
for statistic_type in statistic_types:
total_stats[statistic_type] = ops.OpStats(statistic_type)
node_stats[statistic_type] = {}
# Make sure we get pretty-printed numbers with separators.
locale.setlocale(locale.LC_ALL, "")
with tf.Session() as sess:
input_tensor = sess.graph.get_tensor_by_name(input_layer)
input_shape_tensor = input_tensor.get_shape()
if input_shape_tensor:
input_shape = input_shape_tensor.as_list()
else:
input_shape = None
if input_shape_override:
input_shape = input_shape_override
if input_shape is None:
raise ValueError("""No input shape was provided on the command line,"""
""" and the input op itself had no default shape, so"""
""" shape inference couldn't be performed. This is"""
""" required for metrics calculations.""")
input_shape[0] = batch_size
input_tensor.set_shape(input_shape)
for node in graph_def.node:
# Ensure that the updated input shape has been fully-propagated before we
# ask for the statistics, since they may depend on the output size.
op = sess.graph.get_operation_by_name(node.name)
ops.set_shapes_for_outputs(op)
for statistic_type in statistic_types:
current_stats = ops.get_stats_for_node_def(sess.graph, node,
statistic_type)
node_stats[statistic_type][node.name] = current_stats
total_stats[statistic_type] += current_stats
return total_stats, node_stats