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