本文整理汇总了Python中tensorflow.core.framework.summary_pb2.Summary方法的典型用法代码示例。如果您正苦于以下问题：Python summary_pb2.Summary方法的具体用法？Python summary_pb2.Summary怎么用？Python summary_pb2.Summary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模块tensorflow.core.framework.summary_pb2的用法示例。

在下文中一共展示了summary_pb2.Summary方法的18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，您的评价将有助于我们的系统推荐出更棒的Python代码示例。

示例1: add_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def add_summary(self, summary, global_step=None):

"""Adds a `Summary` protocol buffer to the event file.

This method wraps the provided summary in an `Event` protocol buffer

and adds it to the event file.

You can pass the result of evaluating any summary op, using

@{tf.Session.run} or

@{tf.Tensor.eval}, to this

function. Alternatively, you can pass a `tf.Summary` protocol

buffer that you populate with your own data. The latter is

commonly done to report evaluation results in event files.

Args:

summary: A `Summary` protocol buffer, optionally serialized as a string.

global_step: Number. Optional global step value to record with the

summary.

"""

if isinstance(summary, bytes):

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

event = event_pb2.Event(summary=summary)

self._add_event(event, global_step)

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:26，

示例2: _write_summary_results

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _write_summary_results(output_dir, eval_results, current_global_step):

"""Writes eval results into summary file in given dir."""

logging.info('Saving evaluation summary for step %d: %s', current_global_step,

_eval_results_to_str(eval_results))

summary_writer = get_summary_writer(output_dir)

summary = summary_pb2.Summary()

for key in eval_results:

if eval_results[key] is None:

continue

value = summary.value.add()

value.tag = key

if (isinstance(eval_results[key], np.float32) or

isinstance(eval_results[key], float)):

value.simple_value = float(eval_results[key])

else:

logging.warn('Skipping summary for %s, must be a float or np.float32.',

key)

summary_writer.add_summary(summary, current_global_step)

summary_writer.flush()

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:21，

示例3: assert_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def assert_summary(expected_tags, expected_simple_values, summary_proto):

"""Asserts summary contains the specified tags and values.

Args:

expected_tags: All tags in summary.

expected_simple_values: Simply values for some tags.

summary_proto: Summary to validate.

Raises:

ValueError: if expectations are not met.

"""

actual_tags = set()

for value in summary_proto.value:

actual_tags.add(value.tag)

if value.tag in expected_simple_values:

expected = expected_simple_values[value.tag]

actual = value.simple_value

np.testing.assert_almost_equal(

actual, expected, decimal=2, err_msg=value.tag)

expected_tags = set(expected_tags)

if expected_tags != actual_tags:

raise ValueError('Expected tags %s, got %s.' % (expected_tags, actual_tags))

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:24，

示例4: to_summary_proto

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def to_summary_proto(summary_str):

"""Create summary based on latest stats.

Args:

summary_str: Serialized summary.

Returns:

summary_pb2.Summary.

Raises:

ValueError: if tensor is not a valid summary tensor.

"""

summary = summary_pb2.Summary()

summary.ParseFromString(summary_str)

return summary

# TODO(ptucker): Move to a non-test package?

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:18，

示例5: add_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def add_summary(self, summary, global_step=None):

"""Adds a `Summary` protocol buffer to the event file.

This method wraps the provided summary in an `Event` protocol buffer

and adds it to the event file.

You can pass the result of evaluating any summary op, using

[`Session.run()`](client.md#Session.run) or

[`Tensor.eval()`](framework.md#Tensor.eval), to this

function. Alternatively, you can pass a `tf.Summary` protocol

buffer that you populate with your own data. The latter is

commonly done to report evaluation results in event files.

Args:

summary: A `Summary` protocol buffer, optionally serialized as a string.

global_step: Number. Optional global step value to record with the

summary.

"""

if isinstance(summary, bytes):

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

event = event_pb2.Event(summary=summary)

self._add_event(event, global_step)

开发者ID:abhisuri97，项目名称:auto-alt-text-lambda-api，代码行数:26，

示例6: _WriteScalarSummaries

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _WriteScalarSummaries(self, data, subdirs=('',)):

# Writes data to a tempfile in subdirs, and returns generator for the data.

# If subdirs is given, writes data identically to all subdirectories.

for subdir_ in subdirs:

subdir = os.path.join(self.logdir, subdir_)

self._MakeDirectoryIfNotExists(subdir)

sw = SummaryWriter(subdir)

for datum in data:

summary = Summary()

if 'simple_value' in datum:

summary.value.add(tag=datum['tag'],

simple_value=datum['simple_value'])

sw.add_summary(summary, global_step=datum['step'])

elif 'histo' in datum:

summary.value.add(tag=datum['tag'], histo=HistogramProto())

sw.add_summary(summary, global_step=datum['step'])

elif 'session_log' in datum:

sw.add_session_log(datum['session_log'], global_step=datum['step'])

sw.close()

开发者ID:tobegit3hub，项目名称:deep_image_model，代码行数:22，

示例7: merge_TFSummary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def merge_TFSummary(summary_list, weights):

merged_values = {}

weight_sum_map = {}

for i in range(len(summary_list)):

summary = summary_list[i]

if isinstance(summary, bytes):

parse_TFSummary_from_bytes(summary)

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

for e in summary.value:

if e.tag not in merged_values:

merged_values[e.tag] = 0.0

weight_sum_map[e.tag] = 0.0

merged_values[e.tag] += e.simple_value * weights[i]

weight_sum_map[e.tag] += weights[i]

for k in merged_values:

merged_values[k] /= max(0.0000001, weight_sum_map[k])

return tf.Summary(value=[

tf.Summary.Value(tag=k, simple_value=merged_values[k]) for k in merged_values

])

开发者ID:ULTR-Community，项目名称:ULTRA，代码行数:23，

示例8: _assert_simple_summaries

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _assert_simple_summaries(test_case,

expected_summaries,

summary_str,

tol=1e-6):

"""Assert summary the specified simple values.

Args:

test_case: test case.

expected_summaries: Dict of expected tags and simple values.

summary_str: Serialized `summary_pb2.Summary`.

tol: Tolerance for relative and absolute.

"""

summary = summary_pb2.Summary()

summary.ParseFromString(summary_str)

test_case.assertAllClose(

expected_summaries, {v.tag: v.simple_value for v in summary.value},

rtol=tol,

atol=tol)

开发者ID:tensorflow，项目名称:estimator，代码行数:20，

示例9: _write_checkpoint_path_to_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _write_checkpoint_path_to_summary(output_dir, checkpoint_path,

current_global_step):

"""Writes `checkpoint_path` into summary file in the given output directory.

Args:

output_dir: `str`, directory to write the summary file in.

checkpoint_path: `str`, checkpoint file path to be written to summary file.

current_global_step: `int`, the current global step.

"""

checkpoint_path_tag = 'checkpoint_path'

tf.compat.v1.logging.info('Saving \'%s\' summary for global step %d: %s',

checkpoint_path_tag, current_global_step,

checkpoint_path)

summary_proto = summary_pb2.Summary()

summary_proto.value.add(

tag=checkpoint_path_tag,

tensor=tf.make_tensor_proto(checkpoint_path, dtype=tf.dtypes.string))

summary_writer = tf.compat.v1.summary.FileWriterCache.get(output_dir)

summary_writer.add_summary(summary_proto, current_global_step)

summary_writer.flush()

开发者ID:tensorflow，项目名称:estimator，代码行数:24，

示例10: _AddRateToSummary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _AddRateToSummary(tag, rate, step, sw):

"""Adds the given rate to the summary with the given tag.

Args:

tag: Name for this value.

rate: Value to add to the summary. Perhaps an error rate.

step: Global step of the graph for the x-coordinate of the summary.

sw: Summary writer to which to write the rate value.

"""

sw.add_summary(

summary_pb2.Summary(value=[summary_pb2.Summary.Value(

tag=tag, simple_value=rate)]), step)

开发者ID:ringringyi，项目名称:DOTA_models，代码行数:14，

示例11: make_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def make_summary(name, val):

return summary_pb2.Summary(value=[summary_pb2.Summary.Value(tag=name, simple_value=val)])

开发者ID:mkocaoglu，项目名称:CausalGAN，代码行数:4，

示例12: _write_dict_to_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _write_dict_to_summary(output_dir,

dictionary,

current_global_step):

"""Writes a `dict` into summary file in given output directory.

Args:

output_dir: `str`, directory to write the summary file in.

dictionary: the `dict` to be written to summary file.

current_global_step: `int`, the current global step.

"""

logging.info('Saving dict for global step %d: %s', current_global_step,

_dict_to_str(dictionary))

summary_writer = writer_cache.FileWriterCache.get(output_dir)

summary_proto = summary_pb2.Summary()

for key in dictionary:

if dictionary[key] is None:

continue

if key == "global_step":

continue

value = summary_proto.value.add()

value.tag = key

if (isinstance(dictionary[key], np.float32) or

isinstance(dictionary[key], float)):

value.simple_value = float(dictionary[key])

elif (isinstance(dictionary[key], np.int64) or

isinstance(dictionary[key], np.int32) or

isinstance(dictionary[key], int)):

value.simple_value = int(dictionary[key])

else:

logging.warn('Skipping summary for %s, must be a float, np.float32, np.int64, np.int32 or int.',

key)

summary_writer.add_summary(summary_proto, current_global_step)

summary_writer.flush()

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:35，

示例13: add_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def add_summary(self, summary, global_step=None):

"""Adds a `Summary` protocol buffer to the event file.

This method wraps the provided summary in an `Event` protocol buffer

and adds it to the event file.

You can pass the result of evaluating any summary op, using

@{tf.Session.run} or

@{tf.Tensor.eval}, to this

function. Alternatively, you can pass a `tf.Summary` protocol

buffer that you populate with your own data. The latter is

commonly done to report evaluation results in event files.

Args:

summary: A `Summary` protocol buffer, optionally serialized as a string.

global_step: Number. Optional global step value to record with the

summary.

"""

if isinstance(summary, bytes):

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

event = event_pb2.Event(wall_time=time.time(), summary=summary)

if global_step is not None:

event.step = int(global_step)

self.add_event(event)

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:28，

示例14: add_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def add_summary(self, summ, current_global_step):

"""Add summary."""

if isinstance(summ, bytes):

summary_proto = summary_pb2.Summary()

summary_proto.ParseFromString(summ)

summ = summary_proto

if current_global_step in self._summaries:

step_summaries = self._summaries[current_global_step]

else:

step_summaries = []

self._summaries[current_global_step] = step_summaries

step_summaries.append(summ)

# NOTE: Ignore global_step since its value is non-deterministic.

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:16，

示例15: simple_values_from_events

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def simple_values_from_events(events, tags):

"""Parse summaries from events with simple_value.

Args:

events: List of tensorflow.Event protos.

tags: List of string event tags corresponding to simple_value summaries.

Returns:

dict of tag:value.

Raises:

ValueError: if a summary with a specified tag does not contain simple_value.

"""

step_by_tag = {}

value_by_tag = {}

for e in events:

if e.HasField('summary'):

for v in e.summary.value:

tag = v.tag

if tag in tags:

if not v.HasField('simple_value'):

raise ValueError('Summary for %s is not a simple_value.' % tag)

# The events are mostly sorted in step order, but we explicitly check

# just in case.

if tag not in step_by_tag or e.step > step_by_tag[tag]:

step_by_tag[tag] = e.step

value_by_tag[tag] = v.simple_value

return value_by_tag

开发者ID:ryfeus，项目名称:lambda-packs，代码行数:28，

示例16: _parse_summary_if_needed

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _parse_summary_if_needed(summary):

"""

Parses the summary if it is provided in serialized form (bytes).

This code is copied from tensorflow's SummaryToEventTransformer::add_summary

:param summary:

:return:

"""

if isinstance(summary, bytes):

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

return summary

开发者ID:rlgraph，项目名称:rlgraph，代码行数:14，

示例17: add_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def add_summary(self, summary, global_step=None):

"""Adds a `Summary` protocol buffer to the event file.

This method wraps the provided summary in an `Event` protocol buffer

and adds it to the event file.

You can pass the result of evaluating any summary op, using

[`Session.run()`](client.md#Session.run) or

[`Tensor.eval()`](framework.md#Tensor.eval), to this

function. Alternatively, you can pass a `tf.Summary` protocol

buffer that you populate with your own data. The latter is

commonly done to report evaluation results in event files.

Args:

summary: A `Summary` protocol buffer, optionally serialized as a string.

global_step: Number. Optional global step value to record with the

summary.

"""

if isinstance(summary, bytes):

summ = summary_pb2.Summary()

summ.ParseFromString(summary)

summary = summ

event = event_pb2.Event(wall_time=time.time(), summary=summary)

if global_step is not None:

event.step = int(global_step)

self.add_event(event)

开发者ID:abhisuri97，项目名称:auto-alt-text-lambda-api，代码行数:28，

示例18: _write_dict_to_summary

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# 需要导入模块: from tensorflow.core.framework import summary_pb2 [as 别名]

# 或者: from tensorflow.core.framework.summary_pb2 import Summary [as 别名]

def _write_dict_to_summary(output_dir,

dictionary,

current_global_step):

"""Writes a `dict` into summary file in given output directory.

Args:

output_dir: `str`, directory to write the summary file in.

dictionary: the `dict` to be written to summary file.

current_global_step: `int`, the current global step.

"""

logging.info('Saving dict for global step %d: %s', current_global_step,

_dict_to_str(dictionary))

summary_writer = summary_io.SummaryWriterCache.get(output_dir)

summary_proto = summary_pb2.Summary()

for key in dictionary:

if dictionary[key] is None:

continue

value = summary_proto.value.add()

value.tag = key

if (isinstance(dictionary[key], np.float32) or

isinstance(dictionary[key], float)):

value.simple_value = float(dictionary[key])

else:

logging.warn('Skipping summary for %s, must be a float or np.float32.',

key)

summary_writer.add_summary(summary_proto, current_global_step)

summary_writer.flush()

开发者ID:abhisuri97，项目名称:auto-alt-text-lambda-api，代码行数:29，

注：本文中的tensorflow.core.framework.summary_pb2.Summary方法示例整理自Github/MSDocs等源码及文档管理平台，相关代码片段筛选自各路编程大神贡献的开源项目，源码版权归原作者所有，传播和使用请参考对应项目的License；未经允许，请勿转载。