Neural Network Pooling Functions

Functions
void	arm_maxpool_q7_HWC (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)
	Q7 max pooling function. More...
void	arm_avepool_q7_HWC (q7_t *Im_in, const uint16_t dim_im_in, const uint16_t ch_im_in, const uint16_t dim_kernel, const uint16_t padding, const uint16_t stride, const uint16_t dim_im_out, q7_t *bufferA, q7_t *Im_out)
	Q7 average pooling function. More...

Description

Perform pooling functions, including max pooling and average pooling

Function Documentation

void arm_avepool_q7_HWC	(	q7_t *	Im_in,
		const uint16_t	dim_im_in,
		const uint16_t	ch_im_in,
		const uint16_t	dim_kernel,
		const uint16_t	padding,
		const uint16_t	stride,
		const uint16_t	dim_im_out,
		q7_t *	bufferA,
		q7_t *	Im_out
	)

Parameters

[in,out]	Im_in	pointer to input tensor
[in]	dim_im_in	input tensor dimention
[in]	ch_im_in	number of input tensor channels
[in]	dim_kernel	filter kernel size
[in]	padding	padding sizes
[in]	stride	convolution stride
[in]	dim_im_out	output tensor dimension
[in,out]	bufferA	pointer to buffer space for input
[in,out]	Im_out	pointer to output tensor

Returns

none.

Buffer size:

bufferA size: 2*dim_im_out*ch_im_in

The pooling function is implemented as split x-pooling then y-pooling.

This pooling function is input-destructive. Input data is undefined after calling this function.

References arm_q7_to_q15_no_shift().

void arm_maxpool_q7_HWC	(	q7_t *	Im_in,
		const uint16_t	dim_im_in,
		const uint16_t	ch_im_in,
		const uint16_t	dim_kernel,
		const uint16_t	padding,
		const uint16_t	stride,
		const uint16_t	dim_im_out,
		q7_t *	bufferA,
		q7_t *	Im_out
	)

Parameters

[in,out]	Im_in	pointer to input tensor
[in]	dim_im_in	input tensor dimention
[in]	ch_im_in	number of input tensor channels
[in]	dim_kernel	filter kernel size
[in]	padding	padding sizes
[in]	stride	convolution stride
[in]	dim_im_out	output tensor dimension
[in,out]	bufferA	pointer to buffer space for input
[in,out]	Im_out	pointer to output tensor

Returns

none.

Buffer size:

bufferA size: 0

The pooling function is implemented as split x-pooling then y-pooling.

This pooling function is input-destructive. Input data is undefined after calling this function.

Referenced by main().