__add__ with floating point values
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### Issue type

Bug

### Have you reproduced the bug with TensorFlow Nightly?

Yes

### Source

source

### TensorFlow version

2.16.1

### Custom code

Yes

### OS platform and distribution

Windows

### Mobile device

_No response_

### Python version

3.12

### Bazel version

_No response_

### GCC/compiler version

_No response_

### CUDA/cuDNN version

_No response_

### GPU model and memory

_No response_

### Current behavior?

It's currently not possible for `add' to interpret a floating point values as an integer



### Standalone code to reproduce the issue

```shell
# New code
import numpy as np

class TnpArray:
    def __init__(self, data):
        self.data = np.array(data)

    def __add__(self, other):
        if isinstance(other, (int, float)):
            return TnpArray(self.data + other)
        else:
            raise TypeError(f"Unsupported operand type(s) for +: 'TnpArray' and '{type(other).__name__}'")

    def __repr__(self):
        return repr(self.data)

# Example usage:
a = TnpArray([1, 2, 3])
result = a + 1.5
print(result)  # Output: array([2.5, 3.5, 4.5])
```


### Relevant log output

_No response_