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Python gen_nn_ops._top_kv2方法代码示例

本文整理汇总了Python中tensorflow.python.ops.gen_nn_ops._top_kv2方法的典型用法代码示例。如果您正苦于以下问题:Python gen_nn_ops._top_kv2方法的具体用法?Python gen_nn_ops._top_kv2怎么用?Python gen_nn_ops._top_kv2使用的例子?那么, 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tensorflow.python.ops.gen_nn_ops的用法示例。


在下文中一共展示了gen_nn_ops._top_kv2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: top_k

# 需要导入模块: from tensorflow.python.ops import gen_nn_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_nn_ops import _top_kv2 [as 别名]
def top_k(input, k=1, sorted=True, name=None):
  """Finds values and indices of the `k` largest entries for the last dimension.

  If the input is a vector (rank-1), finds the `k` largest entries in the vector
  and outputs their values and indices as vectors.  Thus `values[j]` is the
  `j`-th largest entry in `input`, and its index is `indices[j]`.

  For matrices (resp. higher rank input), computes the top `k` entries in each
  row (resp. vector along the last dimension).  Thus,

      values.shape = indices.shape = input.shape[:-1] + [k]

  If two elements are equal, the lower-index element appears first.

  Args:
    input: 1-D or higher `Tensor` with last dimension at least `k`.
    k: 0-D `int32` `Tensor`.  Number of top elements to look for along the last
      dimension (along each row for matrices).
    sorted: If true the resulting `k` elements will be sorted by the values in
      descending order.
    name: Optional name for the operation.

  Returns:
    values: The `k` largest elements along each last dimensional slice.
    indices: The indices of `values` within the last dimension of `input`.
  """
  return gen_nn_ops._top_kv2(input, k=k, sorted=sorted, name=name) 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:29,代码来源:nn_ops.py


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