Update SUB operator tests to have different scaling in the inputs and outputs
Update SUB operator tests to have different scaling in the inputs and outputs

The change provides a more in-depth testing of the SUB operator. Previously the same scaling was used for both inputs and for the output, a simple subtraction in the kernel without any rescaling would have made the tests pass.

Intel-tensorflow/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,karllessard/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,yongtang/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,Intel-Corporation/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,karllessard/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,gautam1858/tensorflow,yongtang/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,yongtang/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_saved_model,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,paolodedios/tensorflow,paolodedios/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,Intel-Corporation/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow-pywrap_tf_optimizer,tensorflow/tensorflow,karllessard/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow,Intel-Corporation/tensorflow,yongtang/tensorflow,gautam1858/tensorflow,Intel-Corporation/tensorflow,karllessard/tensorflow,yongtang/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,gautam1858/tensorflow,karllessard/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,tensorflow/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,Intel-tensorflow/tensorflow,paolodedios/tensorflow,karllessard/tensorflow,Intel-tensorflow/tensorflow,paolodedios/tensorflow,yongtang/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,gautam1858/tensorflow,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,Intel-Corporation/tensorflow,tensorflow/tensorflow-experimental_link_static_libraries_once,tensorflow/tensorflow-pywrap_saved_model,Intel-tensorflow/tensorflow,tensorflow/tensorflow-pywrap_saved_model,yongtang/tensorflow,tensorflow/tensorflow-pywrap_tf_optimizer,gautam1858/tensorflow,gautam1858/tensorflow,tensorflow/tensorflow-pywrap_saved_model,tensorflow/tensorflow-pywrap_saved_model,karllessard/tensorflow