Python tensorflow.python.ops.math_ops 模块，divide() 实例源码

def safe_divide(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def _safe_div(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def safe_divide(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def _safe_div(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def safe_divide(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def _safe_div(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def safe_divide(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def safe_divide(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)

def _safe_div(numerator, denominator, name):
    """Divides two values, returning 0 if the denominator is <= 0.
    Args:
      numerator: A real `Tensor`.
      denominator: A real `Tensor`, with dtype matching `numerator`.
      name: Name for the returned op.
    Returns:
      0 if `denominator` <= 0, else `numerator` / `denominator`
    """
    return tf.where(
        math_ops.greater(denominator, 0),
        math_ops.divide(numerator, denominator),
        tf.zeros_like(numerator),
        name=name)