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Neural Network Pooling Functions
[Neural Network Functions]
Perform pooling functions, including max pooling and average pooling. More...
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. | |
| 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. | |
Detailed 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 | ||
| ) |
Q7 average pooling function.
- 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.
Definition at line 317 of file arm_pool_q7_HWC.c.
| 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.
- 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.
Definition at line 164 of file arm_pool_q7_HWC.c.
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