Basic Math Functions for Neural Network Computation¶
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void
riscv_nn_add_q7(const q7_t *input, q31_t *output, uint32_t block_size)¶
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void
riscv_nn_mult_q15(q15_t *pSrcA, q15_t *pSrcB, q15_t *pDst, const uint16_t out_shift, uint32_t blockSize)¶
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void
riscv_nn_mult_q7(q7_t *pSrcA, q7_t *pSrcB, q7_t *pDst, const uint16_t out_shift, uint32_t blockSize)¶
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group
NNBasicMath Basic Math Functions for Neural Network Computation.
Functions
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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:
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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
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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
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void