- support float version of convolution
- support the CHW tensor layout
following function prototypes are added:
- arm_convolve_CHW_f32_basic_nonsquare()
- arm_convolve_CHW_q15_basic_nonsquare()
- arm_convolve_CHW_q7_basic_nonsquare()
- arm_nn_CHW_mat_mult_kernel_q7_q15()
NOTE:this patch will be contributed to SMSIS and reverted later from NuttX
Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
the CMSIS NN software library is a collection of efficient neural
network kernels developed to maximize the performance and minimize
the memory footprint of neural networks on Cortex-M processor cores.
Project https://github.com/ARM-software/CMSIS_5
The library is divided into a number of functions each covering
a specific category:
Convolution Functions
Activation Functions
Fully-connected Layer Functions
SVDF Layer Functions
Pooling Functions
Softmax Functions
Basic math Functions
The library has separate functions for operating on different weight
and activation data types including 8-bit integers (q7_t) and 16-bit
integers (q15_t). The descrition of the kernels are included in the
function description.
More information
https://www.keil.com/pack/doc/CMSIS/NN/html/index.html
Project license : Apache 2.0 License
https://github.com/ARM-software/CMSIS_5/blob/develop/LICENSE.txt
Signed-off-by: Alin Jerpelea <alin.jerpelea@sony.com>
