arm_nn_mat_mult_kernel_s8_s16_reordered.c File Reference

Functions
q7_t *	arm_nn_mat_mult_kernel_s8_s16_reordered (const q7_t *input_a, const q15_t *input_b, const uint16_t output_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int16_t activation_min, const int16_t activation_max, const uint16_t num_col_a, const int32_t *const output_bias, q7_t *out_0)
	Matrix-multiplication of re-ordered input B with A. More...

Function Documentation

q7_t* arm_nn_mat_mult_kernel_s8_s16_reordered	(	const q7_t *	input_a,
		const q15_t *	input_b,
		const uint16_t	output_ch,
		const int32_t *	out_shift,
		const int32_t *	out_mult,
		const int32_t	out_offset,
		const int16_t	activation_min,
		const int16_t	activation_max,
		const uint16_t	num_col_a,
		const int32_t *const	output_bias,
		q7_t *	out_0
	)

For arguments, refer arm_nn_mat_mult_kernel_s8_s16. The re-ordering is a consequence of sign extension done by the SXTB16 command on input_b. The outputs are clamped in the range provided by activation min and max.

• Supported framework : TensorFlow Lite Micro
• The following constrains on the arguments apply
  1. num_col_a is a multiple of 4
  2. output_ch is a multiple of 2

References arm_nn_read_q15x2_ia(), arm_nn_requantize(), MAX, and MIN.