Computes tf.math.logical_and
of elements across dimensions of a tensor. (deprecated arguments)
tf.compat.v1.reduce_all(
input_tensor,
axis=None,
keepdims=None,
name=None,
reduction_indices=None,
keep_dims=None
)
Deprecated: SOME ARGUMENTS ARE DEPRECATED: (keep_dims)
. They will be removed in a future version.
Instructions for updating:
keep_dims is deprecated, use keepdims instead
This is the reduction operation for the elementwise tf.math.logical_and
op.
Reduces input_tensor
along the dimensions given in axis
.
Unless keepdims
is true, the rank of the tensor is reduced by 1 for each
of the entries in axis
, which must be unique. 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
>>> x = tf.constant([[True, True], [False, False]])
>>> tf.math.reduce_all(x)
<tf.Tensor: shape=(), dtype=bool, numpy=False>
>>> tf.math.reduce_all(x, 0)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([False, False])>
>>> tf.math.reduce_all(x, 1)
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([ 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).
reduction_indices
The old (deprecated) name for axis.
keep_dims
Deprecated alias for keepdims
.
Returns
The reduced tensor.
Equivalent to np.all