tf.keras.ops.amax

Returns the maximum of an array or maximum value along an axis.

tf.keras.ops.amax(
    x, axis=None, keepdims=False
)

x Input tensor.
axis Axis along which to compute the maximum. By default (axis=None), find the maximum value in all the dimensions of the input array.
keepdims If True, axes which are reduced are left in the result as dimensions that are broadcast to the size of the original input tensor. Defaults to False.

An array with the maximum value. If axis=None, the result is a scalar value representing the maximum element in the entire array. If axis is given, the result is an array with the maximum values along the specified axis.

Examples:

x = keras.ops.convert_to_tensor([[1, 3, 5], [2, 3, 6]])
keras.ops.amax(x)
array(6, dtype=int32)
 
x = keras.ops.convert_to_tensor([[1, 6, 8], [1, 5, 2]])
keras.ops.amax(x, axis=0)
array([1, 6, 8], dtype=int32)
 
x = keras.ops.convert_to_tensor([[1, 6, 8], [1, 5, 2]])
keras.ops.amax(x, axis=1, keepdims=True)
array([[8], [5]], dtype=int32)