|TensorFlow 1 version||View source on GitHub|
tf.math.logical_and of elements across dimensions of a tensor.
tf.math.reduce_all( input_tensor, axis=None, keepdims=False, name=None )
Used in the notebooks
|Used in the tutorials|
This is the reduction operation for the elementwise
input_tensor along the dimensions given in
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.
axis is None, all dimensions are reduced, and a
tensor with a single element is returned.
x = tf.constant([[True, True], [False, False]])
<tf.Tensor: shape=(), dtype=bool, numpy=False>
<tf.Tensor: shape=(2,), dtype=bool, numpy=array([False, False])>