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XNOR-net 4x acceleration on CPU for yolov2-tiny - 22 FPS (CPU Core i7 6700K)

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AlexeyAB
2018-08-23 02:44:21 +03:00
parent f606b5456e
commit 31b6b0bad3
3 changed files with 322 additions and 116 deletions
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15
src/convolutional_layer.c
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@ -632,7 +632,7 @@ size_t binary_transpose_align_input(int k, int n, float *b, char **t_bit_input,
size_t new_ldb = k + (ldb_align - k%ldb_align); // (k / 8 + 1) * 8;
size_t t_intput_size = new_ldb * n;
size_t t_bit_input_size = t_intput_size / 8;// +1;
float *t_input = calloc(t_intput_size, sizeof(float));
//float *t_input = calloc(t_intput_size, sizeof(float));
//char *
*t_bit_input = calloc(t_bit_input_size, sizeof(char));
@ -643,17 +643,18 @@ size_t binary_transpose_align_input(int k, int n, float *b, char **t_bit_input,
//printf("\n align_bit_weights_size = %d, k = %d, m = %d, new_lda = %d \n", align_bit_weights_size, k, m, new_ldb);
int src_size = k * bit_align;
//printf("\n src_size = %d \n", src_size);
float_to_bit(b, t_input, src_size);
//float_to_bit(b, t_input, src_size);
// b - [bit_align, k] - [l.bit_align, l.size*l.size*l.c] = src_size
// t_input - [bit_align, k] - [n', k]
// t_bit_input - [new_ldb, n] - [k', n]
transpose_bin(t_input, *t_bit_input, k, n, bit_align, new_ldb, 8);
//transpose_bin(b, *t_bit_input, k, n, bit_align, new_ldb, 8);
//transpose_bin(t_input, *t_bit_input, k, n, bit_align, new_ldb, 8);
transpose_bin(b, *t_bit_input, k, n, bit_align, new_ldb, 8);
free(t_input);
//free(t_input);
return t_intput_size;
}
@ -706,9 +707,9 @@ void forward_convolutional_layer(convolutional_layer l, network_state state)
//gemm(0,0,m,n,k,1,a,k,b,n,1,c,n);
//gemm_nn_custom(m, n, k, 1, a, k, b, n, c, n);
if (l.xnor) {
//im2col_cpu_custom(state.input, l.c, l.h, l.w, l.size, l.stride, l.pad, b);
if (l.xnor && (l.stride == 1 && l.pad == 1)) {
memset(b, 0, l.bit_align*l.size*l.size*l.c * sizeof(float));
//im2col_cpu_custom_align(state.input, l.c, l.h, l.w, l.size, l.stride, l.pad, b, l.bit_align);
im2col_cpu_custom_bin(state.input, l.c, l.h, l.w, l.size, l.stride, l.pad, b, l.bit_align);
size_t output_size = l.outputs;