arm_nn_mat_mult_s8.c File Reference

Functions
int8_t *	arm_nn_mat_mult_s8 (const int8_t *input_row, const int8_t *input_col, const uint16_t output_ch, const uint16_t col_batches, const int32_t *output_shift, const int32_t *output_mult, const int32_t out_offset, const int32_t col_offset, const int32_t row_offset, const int16_t activation_min, const int16_t activation_max, const uint16_t row_len, const int32_t *const bias, int8_t *out)
	General Matrix-multiplication function with per-channel requantization. More...

Function Documentation

arm_nn_mat_mult_s8()

int8_t * arm_nn_mat_mult_s8	(	const int8_t *	input_row,
		const int8_t *	input_col,
		const uint16_t	output_ch,
		const uint16_t	col_batches,
		const int32_t *	output_shift,
		const int32_t *	output_mult,
		const int32_t	out_offset,
		const int32_t	col_offset,
		const int32_t	row_offset,
		const int16_t	out_activation_min,
		const int16_t	out_activation_max,
		const uint16_t	row_len,
		const int32_t *const	bias,
		int8_t *	out
	)

Parameters

[in]	input_row	pointer to row operand
[in]	input_col	pointer to col operand
[in]	output_ch	number of rows of input_row
[in]	col_batches	number of column batches. Range: 1 to 4
[in]	output_shift	pointer to per output channel requantization shift parameter.
[in]	output_mult	pointer to per output channel requantization multiplier parameter.
[in]	out_offset	output tensor offset.
[in]	col_offset	input tensor(col) offset.
[in]	row_offset	kernel offset(row). Not used.
[in]	out_activation_min	minimum value to clamp the output to. Range : int8
[in]	out_activation_max	maximum value to clamp the output to. Range : int8
[in]	row_len	number of elements in each row
[in]	bias	per output channel bias. Range : int32
[in,out]	out	pointer to output

Returns

The function returns one of the two

1. The incremented output pointer for a successful operation or

2. NULL if implementation is not available.

   Supported framework: TensorFlow Lite