BasicMath

Functions
riscv_nmsis_nn_status	riscv_elementwise_mul_s16_s8 (const int16_t *input_1_vect, const int16_t *input_2_vect, int8_t *output, const int32_t out_offset, const int32_t out_mult, const int32_t out_shift, const int32_t block_size, const int32_t batch_size, const int32_t batch_offset)
	s16 elementwise multiplication with s8 output More...

Detailed Description

Function Documentation

riscv_elementwise_mul_s16_s8()

riscv_nmsis_nn_status riscv_elementwise_mul_s16_s8	(	const int16_t *	input_1_vect,
		const int16_t *	input_2_vect,
		int8_t *	output,
		const int32_t	out_offset,
		const int32_t	out_mult,
		const int32_t	out_shift,
		const int32_t	block_size,
		const int32_t	batch_size,
		const int32_t	batch_offset
	)

s16 elementwise multiplication with s8 output

Parameters

[in]	input_1_vect	pointer to input vector 1
[in]	input_2_vect	pointer to input vector 2
[in,out]	output	pointer to output vector
[in]	out_offset	output offset
[in]	out_mult	output multiplier
[in]	out_shift	output shift
[in]	block_size	number of samples per batch
[in]	batch_size	number of samples per batch
[in]	batch_offset	Number of timesteps between consecutive batches in output, see riscv_nn_lstm_step_s8. Note that it is assumed that the input is stored with sequential batches.

Returns

The function returns RISCV_NMSIS_NN_SUCCESS

Supported framework: TensorFlow Lite micro