Computes the "logical and" of elements across dimensions of a tensor.

# Aliases:

• tf.compat.v2.math.reduce_all
• tf.compat.v2.reduce_all
• tf.math.reduce_all

 tf.reduce_all(
    input_tensor,
    axis=None,
    keepdims=False,
    name=None
)

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:

 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.

# Returns:

The reduced tensor.

# Numpy Compatibility

Equivalent to np.all