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Searched refs:kernel_size (Results 1 – 7 of 7) sorted by relevance

/cmsis-nn-latest/Source/ConvolutionFunctions/
Darm_nn_depthwise_conv_s8_core.c48 const uint16_t kernel_size, in arm_nn_depthwise_conv_s8_core() argument
64 int32_t ker_loop = kernel_size / 3; in arm_nn_depthwise_conv_s8_core()
72 const int16_t *col_1 = col + kernel_size * num_ch + offset; in arm_nn_depthwise_conv_s8_core()
114 ker_loop = kernel_size - ((kernel_size / 3) * 3); in arm_nn_depthwise_conv_s8_core()
162 const int32_t single_buffer_size = kernel_size * num_ch; in arm_nn_depthwise_conv_s8_core()
172 for (int j = 0; j < kernel_size; j++) in arm_nn_depthwise_conv_s8_core()
213 (void)kernel_size; in arm_nn_depthwise_conv_s8_core()
Darm_depthwise_conv_s8_opt.c101 const int32_t kernel_size = kernel_x * kernel_y; in arm_depthwise_conv_s8_opt() local
151 kernel_size, in arm_depthwise_conv_s8_opt()
172 … const int8_t *col_0 = lhs_buffer + (kernel_size * CH_IN_BLOCK_MVE * i_buf) + (i_loop_cnt * 4); in arm_depthwise_conv_s8_opt()
180 for (int i_ker = 0; i_ker < kernel_size; i_ker++) in arm_depthwise_conv_s8_opt()
Darm_depthwise_conv_fast_s16.c105 const int32_t kernel_size = kernel_x * kernel_y; in arm_depthwise_conv_fast_s16() local
143 kernel_size, in arm_depthwise_conv_fast_s16()
163 const int16_t *col_0 = lhs_buffer + (kernel_size * input_ch * i_buf) + offset; in arm_depthwise_conv_fast_s16()
167 for (int i_ker = 0; i_ker < kernel_size; i_ker++) in arm_depthwise_conv_fast_s16()
Darm_depthwise_conv_s4_opt.c102 const int32_t kernel_size = kernel_x * kernel_y; in arm_depthwise_conv_s4_opt() local
151 kernel_size, in arm_depthwise_conv_s4_opt()
174 … const int8_t *col_0 = lhs_buffer + (kernel_size * S4_CH_IN_BLOCK_MVE * i_buf) + (i_loop_cnt * 4); in arm_depthwise_conv_s4_opt()
185 for (int i_ker = 0; i_ker < kernel_size; i_ker++) in arm_depthwise_conv_s4_opt()
216 for (int i_ker = 0; i_ker < kernel_size; i_ker++) in arm_depthwise_conv_s4_opt()
/cmsis-nn-latest/Tests/UnitTest/
Dconv_settings.py339 kernel_size=(self.filter_y, self.filter_x),
352 … depthwise_layer = keras.layers.DepthwiseConv2D(kernel_size=(self.filter_y, self.filter_x),
366kernel_size=(self.filter_y, self.filter_x),
/cmsis-nn-latest/Tests/UnitTest/RefactoredTestGen/Lib/
Dop_conv.py79 kernel_size=(params["filter_y"], params["filter_x"]),
/cmsis-nn-latest/Include/
Darm_nnsupportfunctions.h241 const uint16_t kernel_size,