Fix Huber Loss crashes due to data type mismatch
Fix Huber Loss crashes due to data type mismatch

This PR tries to address the issue raised in 39004 where
setting keras backend to 'float64' causes Huber Loss crash:
```
    /usr/local/lib/python3.6/dist-packages/tensorflow/python/keras/losses.py:1440 huber
        math_ops.multiply(delta, linear)),
    /usr/local/lib/python3.6/dist-packages/tensorflow/python/util/dispatch.py:180 wrapper
        return target(*args, **kwargs)
    /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/math_ops.py:490 multiply
        return gen_math_ops.mul(x, y, name)
    /usr/local/lib/python3.6/dist-packages/tensorflow/python/ops/gen_math_ops.py:6153 mul
        "Mul", x=x, y=y, name=name)
    /usr/local/lib/python3.6/dist-packages/tensorflow/python/framework/op_def_library.py:506 _apply_op_helper
        inferred_from[input_arg.type_attr]))

    TypeError: Input 'y' of 'Mul' Op has type float64 that does not match type float32 of argument 'x'.

```

This PR fixes the crash by casting delta the same way as y_pred and y_true accordingly.

This PR fixes 39004

Signed-off-by: Yong Tang <765086fe2e0c1f980161f127fec596800f327f62@outlook.com>

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