Suggested Change to Advanced Tutorials, tf$ones arguments

[jonathan-nathan-aus]

Hi Team,

I have been continuing my journey through the tutorials, and have come across an issue in the advanced tutorials, r array compatibility
.

It appears that the syntax currently in the tutorials used for the tf$ones operation seems to be outdated and needs to be updated to 1+tf$ones(shape(1)).

The current code and error output I get is:

> # TensorFlow operations convert arrays to Tensors automatically
> 1 + tf$ones(shape = 1)
Error in py_call_impl(callable, dots$args, dots$keywords) : 
  TypeError: Cannot convert 1.0 to EagerTensor of dtype int32

Detailed traceback:
  File "C:\PROGRA~3\ANACON~1\envs\R-RETI~1\lib\site-packages\tensorflow\python\util\traceback_utils.py", line 153, in error_handler
    raise e.with_traceback(filtered_tb) from None
  File "C:\PROGRA~3\ANACON~1\envs\R-RETI~1\lib\site-packages\tensorflow\python\framework\constant_op.py", line 102, in convert_to_eager_tensor
    return ops.EagerTensor(value, ctx.device_name, dtype)

However, by adjusting the code from an example snippet from here, line 15 & 16 I get the correct output

> 1+tf$ones(shape(1))
tf.Tensor([2.], shape=(1), dtype=float32)