# Basic Math Functions for Neural Network Computation¶

void `riscv_nn_add_q7`(const q7_t *input, q31_t *output, uint32_t block_size)
void `riscv_nn_mult_q15`(q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)
void `riscv_nn_mult_q7`(q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)
group `NNBasicMath`

Basic Math Functions for Neural Network Computation.

Functions

void `riscv_nn_add_q7`(const q7_t *input, q31_t *output, uint32_t block_size)

Non-saturating addition of elements of a q7 vector.

2^24 samples can be added without saturating the result.

Return

none.

Description:

Parameters
• `[in] *input`: Pointer to the q7 input vector

• `[out] *output`: Pointer to the q31 output variable.

• `[in] block_size`: length of the input vector

The equation used for the conversion process is:

void `riscv_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.

q7 vector multiplication with variable output shifts

Scaling and Overflow Behavior:

Return

none.

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

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

void `riscv_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.

q7 vector multiplication with variable output shifts

Scaling and Overflow Behavior:

Return

none.

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

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