tf.math.bincount with negative values raises in eager but silently returns an empty tensor with jit_compile=True #117960

import tensorflow as tf

print("tf version:", tf.__version__)

x = tf.constant([0, -1, 2], dtype=tf.int32)

def fn(x):
    return tf.math.bincount(
        x,
        minlength=3,
        maxlength=3,
        dtype=tf.int32,
    )

print("\n=== eager ===")
try:
    y = fn(x)
    print("eager ok:")
    print(y)
except Exception as e:
    print("eager error:")
    print(type(e).__name__)
    print(e)

print("\n=== XLA compiled ===")
try:
    compiled_fn = tf.function(fn, jit_compile=True)
    y = compiled_fn(x)
    print("compiled ok:")
    print(y)
    print("compiled numpy:", y.numpy())
except Exception as e:
    print("compiled error:")
    print(type(e).__name__)
    print(e)

tf version: 2.21.0

=== eager ===
eager error:
InvalidArgumentError
{{function_node __wrapped__DenseBincount_device_/job:localhost/replica:0/task:0/device:CPU:0}} Input arr must be non-negative! [Op:DenseBincount] name: 

=== XLA compiled ===
compiled ok:
tf.Tensor([1 0 1], shape=(3,), dtype=int32)
compiled numpy: [1 0 1]