tf.keras.ops.amin

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

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

x Input tensor.
axis Axis along which to compute the minimum. By default (axis=None), find the minimum 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 minimum value. If axis=None, the result is a scalar value representing the minimum element in the entire array. If axis is given, the result is an array with the minimum values along the specified axis.

Examples:

x = keras.ops.convert_to_tensor([1, 3, 5, 2, 3, 6])
keras.ops.amin(x)
array(1, dtype=int32)

x = keras.ops.convert_to_tensor([[1, 6, 8], [7, 5, 3]])
keras.ops.amin(x, axis=0)
array([1,5,3], dtype=int32)

x = keras.ops.convert_to_tensor([[1, 6, 8], [7, 5, 3]])
keras.ops.amin(x, axis=1, keepdims=True)
array([[1],[3]], dtype=int32)