Function reduce_all

tensorflow/python/ops/math_ops.py:2266–2306

Computes the "logical and" of elements across dimensions of a tensor. Reduces `input_tensor` along the dimensions given in `axis`. Unless `keepdims` is true, the rank of the tensor is reduced by 1 for each entry in `axis`. If `keepdims` is true, the reduced dimensions are retained with leng

(input_tensor, axis=None, keepdims=False, name=None)

@tf_export("reduce_all", "math.reduce_all", v1=[])
@dispatch.add_dispatch_support
def reduce_all(input_tensor, axis=None, keepdims=False, name=None):
  """Computes the "logical and" of elements across dimensions of a tensor.

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

  If `axis` is None, 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))`.
    keepdims: If true, retains reduced dimensions with length 1.
    name: A name for the operation (optional).

  Returns:
    The reduced tensor.

  @compatibility(numpy)
  Equivalent to np.all
  @end_compatibility
  """
  keepdims = False if keepdims is None else keepdims
  return _may_reduce_to_scalar(
      keepdims, axis,
      gen_math_ops._all(
          input_tensor, _ReductionDims(input_tensor, axis), keepdims,
          name=name))


@tf_export(v1=["math.reduce_any", "reduce_any"])