Python summary_ops_v2.scalar函数代码示例

 def testWriterInitAndClose(self):
   logdir = self.get_temp_dir()
   with summary_ops.always_record_summaries():
     writer = summary_ops.create_file_writer(
         logdir, max_queue=100, flush_millis=1000000)
     with writer.as_default():
       summary_ops.scalar('one', 1.0, step=1)
   with self.cached_session() as sess:
     sess.run(summary_ops.summary_writer_initializer_op())
     get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
     self.assertEqual(1, get_total())  # file_version Event
     # Running init() again while writer is open has no effect
     sess.run(writer.init())
     self.assertEqual(1, get_total())
     sess.run(summary_ops.all_summary_ops())
     self.assertEqual(1, get_total())
     # Running close() should do an implicit flush
     sess.run(writer.close())
     self.assertEqual(2, get_total())
     # Running init() on a closed writer should start a new file
     time.sleep(1.1)  # Ensure filename has a different timestamp
     sess.run(writer.init())
     sess.run(summary_ops.all_summary_ops())
     sess.run(writer.close())
     files = sorted(gfile.Glob(os.path.join(logdir, '*tfevents*')))
     self.assertEqual(2, len(files))
     self.assertEqual(2, len(summary_test_util.events_from_file(files[1])))

  def _write_custom_summaries(self, step, logs=None):
    """Writes metrics out as custom scalar summaries.

    Arguments:
        step: the global step to use for TensorBoard.
        logs: dict. Keys are scalar summary names, values are
            NumPy scalars.

    """
    logs = logs or {}
    if context.executing_eagerly():
      # use v2 summary ops
      with self.writer.as_default(), summary_ops_v2.always_record_summaries():
        for name, value in logs.items():
          if isinstance(value, np.ndarray):
            value = value.item()
          summary_ops_v2.scalar(name, value, step=step)
    else:
      # use FileWriter from v1 summary
      for name, value in logs.items():
        if isinstance(value, np.ndarray):
          value = value.item()
        summary = tf_summary.Summary()
        summary_value = summary.value.add()
        summary_value.simple_value = value
        summary_value.tag = name
        self.writer.add_summary(summary, step)
    self.writer.flush()

 def testWriterInitAndClose(self):
   logdir = self.get_temp_dir()
   get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
   with summary_ops.always_record_summaries():
     writer = summary_ops.create_file_writer(
         logdir, max_queue=100, flush_millis=1000000)
     self.assertEqual(1, get_total())  # file_version Event
     # Calling init() again while writer is open has no effect
     writer.init()
     self.assertEqual(1, get_total())
     try:
       # Not using .as_default() to avoid implicit flush when exiting
       writer.set_as_default()
       summary_ops.scalar('one', 1.0, step=1)
       self.assertEqual(1, get_total())
       # Calling .close() should do an implicit flush
       writer.close()
       self.assertEqual(2, get_total())
       # Calling init() on a closed writer should start a new file
       time.sleep(1.1)  # Ensure filename has a different timestamp
       writer.init()
       files = sorted(gfile.Glob(os.path.join(logdir, '*tfevents*')))
       self.assertEqual(2, len(files))
       get_total = lambda: len(summary_test_util.events_from_file(files[1]))
       self.assertEqual(1, get_total())  # file_version Event
       summary_ops.scalar('two', 2.0, step=2)
       writer.close()
       self.assertEqual(2, get_total())
     finally:
       # Clean up by resetting default writer
       summary_ops.create_file_writer(None).set_as_default()

 def testEagerMemory(self):
   training_util.get_or_create_global_step()
   logdir = self.get_temp_dir()
   with summary_ops.create_file_writer(
       logdir, max_queue=0,
       name='t0').as_default(), summary_ops.always_record_summaries():
     summary_ops.generic('tensor', 1, '')
     summary_ops.scalar('scalar', 2.0)
     summary_ops.histogram('histogram', [1.0])
     summary_ops.image('image', [[[[1.0]]]])
     summary_ops.audio('audio', [[1.0]], 1.0, 1)

 def testSummaryName(self):
   logdir = self.get_temp_dir()
   writer = summary_ops.create_file_writer(logdir, max_queue=0)
   with writer.as_default(), summary_ops.always_record_summaries():
     summary_ops.scalar('scalar', 2.0, step=1)
   with self.cached_session() as sess:
     sess.run(summary_ops.summary_writer_initializer_op())
     sess.run(summary_ops.all_summary_ops())
   events = summary_test_util.events_from_logdir(logdir)
   self.assertEqual(2, len(events))
   self.assertEqual('scalar', events[1].summary.value[0].tag)

  def testSummaryGlobalStep(self):
    step = training_util.get_or_create_global_step()
    logdir = tempfile.mkdtemp()
    with summary_ops.create_file_writer(
        logdir, max_queue=0,
        name='t2').as_default(), summary_ops.always_record_summaries():

      summary_ops.scalar('scalar', 2.0, step=step)

      events = summary_test_util.events_from_logdir(logdir)
      self.assertEqual(len(events), 2)
      self.assertEqual(events[1].summary.value[0].tag, 'scalar')

 def testMaxQueue(self):
   logs = tempfile.mkdtemp()
   with summary_ops.create_file_writer(
       logs, max_queue=1, flush_millis=999999,
       name='lol').as_default(), summary_ops.always_record_summaries():
     get_total = lambda: len(summary_test_util.events_from_logdir(logs))
     # Note: First tf.Event is always file_version.
     self.assertEqual(1, get_total())
     summary_ops.scalar('scalar', 2.0, step=1)
     self.assertEqual(1, get_total())
     # Should flush after second summary since max_queue = 1
     summary_ops.scalar('scalar', 2.0, step=2)
     self.assertEqual(3, get_total())

 def testSummaryGlobalStep(self):
   training_util.get_or_create_global_step()
   logdir = self.get_temp_dir()
   writer = summary_ops.create_file_writer(logdir, max_queue=0)
   with writer.as_default(), summary_ops.always_record_summaries():
     summary_ops.scalar('scalar', 2.0)
   with self.cached_session() as sess:
     sess.run(variables.global_variables_initializer())
     sess.run(summary_ops.summary_writer_initializer_op())
     step, _ = sess.run(
         [training_util.get_global_step(), summary_ops.all_summary_ops()])
   events = summary_test_util.events_from_logdir(logdir)
   self.assertEqual(2, len(events))
   self.assertEqual(step, events[1].step)

 def testSummaryOps(self):
   training_util.get_or_create_global_step()
   logdir = tempfile.mkdtemp()
   with summary_ops.create_file_writer(
       logdir, max_queue=0,
       name='t0').as_default(), summary_ops.always_record_summaries():
     summary_ops.generic('tensor', 1, '')
     summary_ops.scalar('scalar', 2.0)
     summary_ops.histogram('histogram', [1.0])
     summary_ops.image('image', [[[[1.0]]]])
     summary_ops.audio('audio', [[1.0]], 1.0, 1)
     # The working condition of the ops is tested in the C++ test so we just
     # test here that we're calling them correctly.
     self.assertTrue(gfile.Exists(logdir))

 def testWriterFlush(self):
   logdir = self.get_temp_dir()
   get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
   with summary_ops.always_record_summaries():
     writer = summary_ops.create_file_writer(
         logdir, max_queue=100, flush_millis=1000000)
     self.assertEqual(1, get_total())  # file_version Event
     with writer.as_default():
       summary_ops.scalar('one', 1.0, step=1)
       self.assertEqual(1, get_total())
       writer.flush()
       self.assertEqual(2, get_total())
       summary_ops.scalar('two', 2.0, step=2)
     # Exiting the "as_default()" should do an implicit flush of the "two" tag
     self.assertEqual(3, get_total())

 def testDbURIOpen(self):
   tmpdb_path = os.path.join(self.get_temp_dir(), 'tmpDbURITest.sqlite')
   tmpdb_uri = six.moves.urllib_parse.urljoin("file:", tmpdb_path)
   tmpdb_writer = summary_ops.create_db_writer(
       tmpdb_uri,
       "experimentA",
       "run1",
       "user1")
   with summary_ops.always_record_summaries():
     with tmpdb_writer.as_default():
       summary_ops.scalar('t1', 2.0)
   tmpdb = sqlite3.connect(tmpdb_path)
   num = get_one(tmpdb, 'SELECT count(*) FROM Tags WHERE tag_name = "t1"')
   self.assertEqual(num, 1)
   tmpdb.close()

 def testWriterFlush(self):
   logdir = self.get_temp_dir()
   with summary_ops.always_record_summaries():
     writer = summary_ops.create_file_writer(
         logdir, max_queue=100, flush_millis=1000000)
     with writer.as_default():
       summary_ops.scalar('one', 1.0, step=1)
   with self.cached_session() as sess:
     sess.run(summary_ops.summary_writer_initializer_op())
     get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
     self.assertEqual(1, get_total())  # file_version Event
     sess.run(summary_ops.all_summary_ops())
     self.assertEqual(1, get_total())
     sess.run(writer.flush())
     self.assertEqual(2, get_total())

 def testSummaryOps(self):
   logdir = self.get_temp_dir()
   writer = summary_ops.create_file_writer(logdir, max_queue=0)
   with writer.as_default(), summary_ops.always_record_summaries():
     summary_ops.generic('tensor', 1, step=1)
     summary_ops.scalar('scalar', 2.0, step=1)
     summary_ops.histogram('histogram', [1.0], step=1)
     summary_ops.image('image', [[[[1.0]]]], step=1)
     summary_ops.audio('audio', [[1.0]], 1.0, 1, step=1)
   with self.cached_session() as sess:
     sess.run(summary_ops.summary_writer_initializer_op())
     sess.run(summary_ops.all_summary_ops())
   # The working condition of the ops is tested in the C++ test so we just
   # test here that we're calling them correctly.
   self.assertTrue(gfile.Exists(logdir))

 def testMaxQueue(self):
   logdir = self.get_temp_dir()
   writer = summary_ops.create_file_writer(
       logdir, max_queue=1, flush_millis=999999)
   with writer.as_default(), summary_ops.always_record_summaries():
     summary_ops.scalar('scalar', 2.0, step=1)
   with self.cached_session() as sess:
     sess.run(summary_ops.summary_writer_initializer_op())
     get_total = lambda: len(summary_test_util.events_from_logdir(logdir))
     # Note: First tf.Event is always file_version.
     self.assertEqual(1, get_total())
     sess.run(summary_ops.all_summary_ops())
     self.assertEqual(1, get_total())
     # Should flush after second summary since max_queue = 1
     sess.run(summary_ops.all_summary_ops())
     self.assertEqual(3, get_total())

  def testScalarSummaryNameScope(self):
    """Test record_summaries_every_n_global_steps and all_summaries()."""
    with ops.Graph().as_default(), self.cached_session() as sess:
      global_step = training_util.get_or_create_global_step()
      global_step.initializer.run()
      with ops.device('/cpu:0'):
        step_increment = state_ops.assign_add(global_step, 1)
      sess.run(step_increment)  # Increment global step from 0 to 1

      logdir = tempfile.mkdtemp()
      with summary_ops.create_file_writer(logdir, max_queue=0,
                                          name='t2').as_default():
        with summary_ops.record_summaries_every_n_global_steps(2):
          summary_ops.initialize()
          with ops.name_scope('scope'):
            summary_op = summary_ops.scalar('my_scalar', 2.0)

          # Neither of these should produce a summary because
          # global_step is 1 and "1 % 2 != 0"
          sess.run(summary_ops.all_summary_ops())
          sess.run(summary_op)
          events = summary_test_util.events_from_logdir(logdir)
          self.assertEqual(len(events), 1)

          # Increment global step from 1 to 2 and check that the summary
          # is now written
          sess.run(step_increment)
          sess.run(summary_ops.all_summary_ops())
          events = summary_test_util.events_from_logdir(logdir)
          self.assertEqual(len(events), 2)
          self.assertEqual(events[1].summary.value[0].tag, 'scope/my_scalar')