Framework Ops vs Raw Ops about java HOT 3 OPEN

Just got the same confusion with tensordot. It obviously is a basic operation.

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In Python TF, tf.tensordot is written in Python and calls various raw ops. Also,iIn TF Python, they moved the raw ops to the raw module, but the higher level ops are either at the tf level, or in modules like tf.math. There are also several aliases for certain ops.

I placed these ops in Framework, as there was a desire to keep the core ops to those that directly call the c api.

Also in the Python code, ops like tensordot are not strictly assigned to sub modules like math, even though the Python code resides there.

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Dot is one of the most time-consuming operations. So it will require some work to do it properly. I am experimenting with KMath wrapper for tensorflow lazy operations, so I need it to implement the API.

Also, there is no general registry of operations which makes it a little bit tricky to understand how to do different things only from operation names (I am not familiar with the Python API).

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