Python tensorflow.Group() Examples

The following are 9 code examples of tensorflow.Group(). You can vote up the ones you like or vote down the ones you don't like, and go to the original project or source file by following the links above each example. You may also want to check out all available functions/classes of the module tensorflow , or try the search function .
Example #1
Source File: component.py    From DOTA_models with Apache License 2.0 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #2
Source File: component.py    From yolo_v2 with Apache License 2.0 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #3
Source File: component.py    From Gun-Detector with Apache License 2.0 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #4
Source File: component.py    From hands-detection with MIT License 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #5
Source File: component.py    From object_detection_kitti with Apache License 2.0 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #6
Source File: component.py    From object_detection_with_tensorflow with MIT License 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #7
Source File: component.py    From HumanRecognition with MIT License 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #8
Source File: component.py    From g-tensorflow-models with Apache License 2.0 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)
Example #9
Source File: component.py    From multilabel-image-classification-tensorflow with MIT License 5 votes vote down vote up 
def advance_counters(self, total):
    """Returns ops to advance the per-component step and total counters.

    Args:
      total: Total number of actions to increment counters by.

    Returns:
      tf.Group op incrementing 'step' by 1 and 'total' by total.
    """
    update_total = tf.assign_add(self._total, total, use_locking=True)
    update_step = tf.assign_add(self._step, 1, use_locking=True)
    return tf.group(update_total, update_step)