MULHU	R4, R5			// a5101d00
	MULHU	R4, R5, R6		// a6101d00
	REM	R4, R5	  		// a5902000
	REM	R4, R5, R6	  	// a6902000
	REMU	R4, R5	   		// a5902100
	REMU	R4, R5, R6	   	// a6902100
	DIV	R4, R5	  		// a5102000
	DIV	R4, R5, R6	  	// a6102000
	DIVU	R4, R5	   		// a5102100
	DIVU	R4, R5, R6	   	// a6102100
	SRLV	R4, R5 			// a5101900
	SRLV	R4, R5, R6 		// a6101900
	SRLV	$4, R4, R5		// 85104500

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and modulus operators (/, //, %) now match Python (flooring) semantics. This
applies to `tf.div` and `tf.mod` as well. To obtain forced integer truncation
based behaviors you can use `tf.truncatediv` and `tf.truncatemod`. *
`tf.divide()` is now the recommended division function. `tf.div()` will remain,
but its semantics do not respond to Python 3 or `from future` mechanisms. *