arm_nn_depthwise_conv_s8_core.c File Reference

Functions
q7_t *	arm_nn_depthwise_conv_s8_core (const q7_t *row, const q15_t *col, const uint16_t num_ch, const int32_t *out_shift, const int32_t *out_mult, const int32_t out_offset, const int32_t activation_min, const int32_t activation_max, const uint16_t kernel_size, const int32_t *const output_bias, q7_t *out)
	Depthwise conv on an im2col buffer where the input channel equals output channel. More...

Function Documentation

q7_t* arm_nn_depthwise_conv_s8_core	(	const q7_t *	row,
		const q15_t *	col,
		const uint16_t	num_ch,
		const int32_t *	out_shift,
		const int32_t *	out_mult,
		const int32_t	out_offset,
		const int32_t	activation_min,
		const int32_t	activation_max,
		const uint16_t	kernel_size,
		const int32_t *const	output_bias,
		q7_t *	out
	)

Parameters

[in]	row	pointer to row
[in]	col	pointer to im2col buffer, always consists of 2 columns.
[in]	num_ch	number of channels
[in]	out_shift	pointer to per output channel requantization shift parameter.
[in]	out_mult	pointer to per output channel requantization multiplier parameter.
[in]	out_offset	output tensor offset.
[in]	activation_min	minimum value to clamp the output to. Range : int8
[in]	activation_max	maximum value to clamp the output to. Range : int8
[in]	kernel_size	number of elements in one column.
[in]	output_bias	per output channel bias. Range : int32
[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 micro.