Basic Math Functions for Neural Network Computation

Functions
void	arm_nn_mult_q15 (q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)
	Q7 vector multiplication with variable output shifts. More...
void	arm_nn_mult_q7 (q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)
	Q7 vector multiplication with variable output shifts. More...

Description

Basic Math Functions for Neural Network Computation

Function Documentation

void arm_nn_mult_q15	(	q15_t *	pSrcA,
		q15_t *	pSrcB,
		q15_t *	pDst,
		const uint16_t	out_shift,
		uint32_t	blockSize
	)

Parameters

[in]	*pSrcA	pointer to the first input vector
[in]	*pSrcB	pointer to the second input vector
[out]	*pDst	pointer to the output vector
[in]	out_shift	amount of right-shift for output
[in]	blockSize	number of samples in each vector

Returns

none.

Scaling and Overflow Behavior:

The function uses saturating arithmetic. Results outside of the allowable Q15 range [0x8000 0x7FFF] will be saturated.

References NN_ROUND.

void arm_nn_mult_q7	(	q7_t *	pSrcA,
		q7_t *	pSrcB,
		q7_t *	pDst,
		const uint16_t	out_shift,
		uint32_t	blockSize
	)

Parameters

[in]	*pSrcA	pointer to the first input vector
[in]	*pSrcB	pointer to the second input vector
[out]	*pDst	pointer to the output vector
[in]	out_shift	amount of right-shift for output
[in]	blockSize	number of samples in each vector

Returns

none.

Scaling and Overflow Behavior:

The function uses saturating arithmetic. Results outside of the allowable Q7 range [0x80 0x7F] will be saturated.

References NN_ROUND.