"application/vnd.oma.bcast.notification+xml",
				"application/vnd.oma.bcast.provisioningtrigger",
				"application/vnd.oma.bcast.sgboot",
				"application/vnd.oma.bcast.sgdd+xml",
				"application/vnd.oma.bcast.sgdu",
				"application/vnd.oma.bcast.simple-symbol-container",
				"application/vnd.oma.bcast.smartcard-trigger+xml",
				"application/vnd.oma.bcast.sprov+xml",
				"application/vnd.oma.bcast.stkm",

	SGT	$74565, R4, R5 			// 5e020014de178d0385781200
	SGT	$4097, R4 			// 3e000014de07800384781200
	SGT	$4097, R4, R5 			// 3e000014de07800385781200
	SGTU	$74565, R4 			// 5e020014de178d0384f81200
	SGTU	$74565, R4, R5 			// 5e020014de178d0385f81200
	SGTU	$4097, R4 			// 3e000014de07800384f81200
	SGTU	$4097, R4, R5 			// 3e000014de07800385f81200
	ADDVU	$4097, R4			// 3e000014de07800384f81000
	ADDVU	$4097, R4, R5 			// 3e000014de07800385f81000

	SGT	$65536, R4, R5		// 1e02001485781200
	SGT	$4096, R4, R5		// 3e00001485781200
	SGT	$65536, R4		// 1e02001484781200
	SGT	$4096, R4		// 3e00001484781200
	SGTU	$65536, R4, R5		// 1e02001485f81200
	SGTU	$4096, R4, R5		// 3e00001485f81200
	SGTU	$65536, R4		// 1e02001484f81200
	SGTU	$4096, R4		// 3e00001484f81200
	ADDVU	$65536, R4, R5		// 1e02001485f81000
	ADDVU	$4096, R4, R5		// 3e00001485f81000
	ADDVU	$65536, R4		// 1e02001484f81000

y + z[1] + c SGTU R18, R10, R19 ADDV R24, R19, R7 // next c MULHVU R15, R5, R25 // z_hi[2] = x[2] * y MULV R15, R5, R15 // z_lo[2] = x[2] * y ADDV R15, R11, R18 // z_lo[2] = x[2] * y + z[2] SGTU R15, R18, R19 ADDV R25, R19, R25 // z_hi[2] = x[2] * y + z[2] ADDV R18, R7, R11 // z_lo[2] = x[2] * y + z[2] + c SGTU R18, R11, R19 ADDV R25, R19, R7 // next c MULHVU R16, R5, R26 // z_hi[3] = x[3] * y MULV R16, R5, R16 // z_lo[3] = x[3] * y ADDV R16, R12, R18 // z_lo[3] = x[3] * y + z[3] SGTU R16, R18, R19...

    *   Added `tf.keras.optimizers.experimental.Optimizer`. The reworked
        optimizer gives more control over different phases of optimizer calls,
        and is easier to customize. We provide Adam, SGD, Adadelta, AdaGrad and
        RMSprop optimizers based on
        `tf.keras.optimizers.experimental.Optimizer`. Generally the new
        optimizers work in the same way as the old ones, but support new

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