| | |
| | | #ifndef BLAS_H |
| | | #define BLAS_H |
| | | void flatten(float *x, int size, int layers, int batch, int forward); |
| | | void pm(int M, int N, float *A); |
| | | float *random_matrix(int rows, int cols); |
| | | void time_random_matrix(int TA, int TB, int m, int k, int n); |
| | | void reorg_cpu(float *x, int w, int h, int c, int batch, int stride, int forward, float *out); |
| | | |
| | | void test_blas(); |
| | | |
| | | void const_cpu(int N, float ALPHA, float *X, int INCX); |
| | | void constrain_ongpu(int N, float ALPHA, float * X, int INCX); |
| | | void pow_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY); |
| | | void mul_cpu(int N, float *X, int INCX, float *Y, int INCY); |
| | | |
| | | void axpy_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY); |
| | | void copy_cpu(int N, float *X, int INCX, float *Y, int INCY); |
| | | void scal_cpu(int N, float ALPHA, float *X, int INCX); |
| | | void fill_cpu(int N, float ALPHA, float * X, int INCX); |
| | | float dot_cpu(int N, float *X, int INCX, float *Y, int INCY); |
| | | void test_gpu_blas(); |
| | | void shortcut_cpu(int batch, int w1, int h1, int c1, float *add, int w2, int h2, int c2, float *out); |
| | | |
| | | void mean_cpu(float *x, int batch, int filters, int spatial, float *mean); |
| | | void variance_cpu(float *x, float *mean, int batch, int filters, int spatial, float *variance); |
| | | void normalize_cpu(float *x, float *mean, float *variance, int batch, int filters, int spatial); |
| | | |
| | | void scale_bias(float *output, float *scales, int batch, int n, int size); |
| | | void backward_scale_cpu(float *x_norm, float *delta, int batch, int n, int size, float *scale_updates); |
| | | void mean_delta_cpu(float *delta, float *variance, int batch, int filters, int spatial, float *mean_delta); |
| | | void variance_delta_cpu(float *x, float *delta, float *mean, float *variance, int batch, int filters, int spatial, float *variance_delta); |
| | | void normalize_delta_cpu(float *x, float *mean, float *variance, float *mean_delta, float *variance_delta, int batch, int filters, int spatial, float *delta); |
| | | |
| | | void smooth_l1_cpu(int n, float *pred, float *truth, float *delta, float *error); |
| | | void l2_cpu(int n, float *pred, float *truth, float *delta, float *error); |
| | | void weighted_sum_cpu(float *a, float *b, float *s, int num, float *c); |
| | | |
| | | void softmax(float *input, int n, float temp, float *output); |
| | | |
| | | #ifdef GPU |
| | | #include "cuda.h" |
| | | |
| | | void axpy_ongpu(int N, float ALPHA, float * X, int INCX, float * Y, int INCY); |
| | | void axpy_ongpu_offset(int N, float ALPHA, float * X, int OFFX, int INCX, float * Y, int OFFY, int INCY); |
| | | void copy_ongpu(int N, float * X, int INCX, float * Y, int INCY); |
| | | void copy_ongpu_offset(int N, float * X, int OFFX, int INCX, float * Y, int OFFY, int INCY); |
| | | void scal_ongpu(int N, float ALPHA, float * X, int INCX); |
| | | void supp_ongpu(int N, float ALPHA, float * X, int INCX); |
| | | void mask_ongpu(int N, float * X, float mask_num, float * mask); |
| | | void const_ongpu(int N, float ALPHA, float *X, int INCX); |
| | | void pow_ongpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY); |
| | |
| | | |
| | | void fast_variance_gpu(float *x, float *mean, int batch, int filters, int spatial, float *variance); |
| | | void fast_mean_gpu(float *x, int batch, int filters, int spatial, float *mean); |
| | | void shortcut_gpu(int batch, int w1, int h1, int c1, float *add, int w2, int h2, int c2, float *out); |
| | | void scale_bias_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void backward_scale_gpu(float *x_norm, float *delta, int batch, int n, int size, float *scale_updates); |
| | | void scale_bias_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void add_bias_gpu(float *output, float *biases, int batch, int n, int size); |
| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
| | | |
| | | void smooth_l1_gpu(int n, float *pred, float *truth, float *delta, float *error); |
| | | void l2_gpu(int n, float *pred, float *truth, float *delta, float *error); |
| | | void weighted_delta_gpu(float *a, float *b, float *s, float *da, float *db, float *ds, int num, float *dc); |
| | | void weighted_sum_gpu(float *a, float *b, float *s, int num, float *c); |
| | | void mult_add_into_gpu(int num, float *a, float *b, float *c); |
| | | |
| | | void reorg_ongpu(float *x, int w, int h, int c, int batch, int stride, int forward, float *out); |
| | | |
| | | void softmax_gpu(float *input, int n, int offset, int groups, float temp, float *output); |
| | | void adam_gpu(int n, float *x, float *m, float *v, float B1, float B2, float rate, float eps, int t); |
| | | |
| | | void flatten_ongpu(float *x, int spatial, int layers, int batch, int forward, float *out); |
| | | |
| | | #endif |
| | | #endif |