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Python gen_math_ops._all方法代码示例

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


在下文中一共展示了gen_math_ops._all方法的3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: reduce_all

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _all [as 别名]
def reduce_all(input_tensor, reduction_indices=None, keep_dims=False,
               name=None):
  """Computes the "logical and" of elements across dimensions of a tensor.

  Reduces `input_tensor` along the dimensions given in `reduction_indices`.
  Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each
  entry in `reduction_indices`. If `keep_dims` is true, the reduced dimensions
  are retained with length 1.

  If `reduction_indices` has no entries, all dimensions are reduced, and a
  tensor with a single element is returned.

  For example:

  ```python
  # 'x' is [[True,  True]
  #         [False, False]]
  tf.reduce_all(x) ==> False
  tf.reduce_all(x, 0) ==> [False, False]
  tf.reduce_all(x, 1) ==> [True, False]
  ```

  Args:
    input_tensor: The boolean tensor to reduce.
    reduction_indices: The dimensions to reduce. If `None` (the default),
      reduces all dimensions.
    keep_dims: If true, retains reduced dimensions with length 1.
    name: A name for the operation (optional).

  Returns:
    The reduced tensor.
  """
  return gen_math_ops._all(input_tensor, _ReductionDims(input_tensor,
                                                        reduction_indices),
                           keep_dims, name=name) 
开发者ID:tobegit3hub,项目名称:deep_image_model,代码行数:37,代码来源:math_ops.py

示例2: reduce_all

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _all [as 别名]
def reduce_all(input_tensor,
               axis=None,
               keep_dims=False,
               name=None,
               reduction_indices=None):
  """Computes the "logical and" of elements across dimensions of a tensor.

  Reduces `input_tensor` along the dimensions given in `axis`.
  Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each
  entry in `axis`. If `keep_dims` is true, the reduced dimensions
  are retained with length 1.

  If `axis` has no entries, all dimensions are reduced, and a
  tensor with a single element is returned.

  For example:

  ```python
  # 'x' is [[True,  True]
  #         [False, False]]
  tf.reduce_all(x) ==> False
  tf.reduce_all(x, 0) ==> [False, False]
  tf.reduce_all(x, 1) ==> [True, False]
  ```

  Args:
    input_tensor: The boolean tensor to reduce.
    axis: The dimensions to reduce. If `None` (the default),
      reduces all dimensions.
    keep_dims: If true, retains reduced dimensions with length 1.
    name: A name for the operation (optional).
    reduction_indices: The old (deprecated) name for axis.

  Returns:
    The reduced tensor.

  @compatibility(numpy)
  Equivalent to np.all
  @end_compatibility
  """
  return gen_math_ops._all(
      input_tensor,
      _ReductionDims(input_tensor, axis, reduction_indices),
      keep_dims,
      name=name) 
开发者ID:ryfeus,项目名称:lambda-packs,代码行数:47,代码来源:math_ops.py

示例3: reduce_all

# 需要导入模块: from tensorflow.python.ops import gen_math_ops [as 别名]
# 或者: from tensorflow.python.ops.gen_math_ops import _all [as 别名]
def reduce_all(input_tensor,
               axis=None,
               keep_dims=False,
               name=None,
               reduction_indices=None):
  """Computes the "logical and" of elements across dimensions of a tensor.

  Reduces `input_tensor` along the dimensions given in `axis`.
  Unless `keep_dims` is true, the rank of the tensor is reduced by 1 for each
  entry in `axis`. If `keep_dims` is true, the reduced dimensions
  are retained with length 1.

  If `axis` has no entries, all dimensions are reduced, and a
  tensor with a single element is returned.

  For example:

  ```python
  x = tf.constant([[True,  True], [False, False]])
  tf.reduce_all(x)  # False
  tf.reduce_all(x, 0)  # [False, False]
  tf.reduce_all(x, 1)  # [True, False]
  ```

  Args:
    input_tensor: The boolean tensor to reduce.
    axis: The dimensions to reduce. If `None` (the default),
      reduces all dimensions. Must be in the range
      `[-rank(input_tensor), rank(input_tensor))`.
    keep_dims: If true, retains reduced dimensions with length 1.
    name: A name for the operation (optional).
    reduction_indices: The old (deprecated) name for axis.

  Returns:
    The reduced tensor.

  @compatibility(numpy)
  Equivalent to np.all
  @end_compatibility
  """
  return gen_math_ops._all(
      input_tensor,
      _ReductionDims(input_tensor, axis, reduction_indices),
      keep_dims,
      name=name) 
开发者ID:PacktPublishing,项目名称:Serverless-Deep-Learning-with-TensorFlow-and-AWS-Lambda,代码行数:47,代码来源:math_ops.py


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