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| | | void test_blas(); |
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| | | |
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| | | void const_cpu(int N, float ALPHA, float *X, int INCX); |
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| | | void constrain_ongpu(int N, float ALPHA, float * X, int INCX); |
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| | | void pow_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY); |
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| | | void mul_cpu(int N, float *X, int INCX, float *Y, int INCY); |
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| | | |
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| | | void axpy_cpu(int N, float ALPHA, float *X, int INCX, float *Y, int INCY); |
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| | | void copy_cpu(int N, float *X, int INCX, float *Y, int INCY); |
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| | | void scal_cpu(int N, float ALPHA, float *X, int INCX); |
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| | | void fill_cpu(int N, float ALPHA, float * X, int INCX); |
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| | | float dot_cpu(int N, float *X, int INCX, float *Y, int INCY); |
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| | | void test_gpu_blas(); |
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| | | void shortcut_cpu(float *out, int w, int h, int c, int batch, int sample, float *add, int stride, int c2); |
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| | | void shortcut_cpu(int batch, int w1, int h1, int c1, float *add, int w2, int h2, int c2, float *out); |
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| | | |
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| | | void mean_cpu(float *x, int batch, int filters, int spatial, float *mean); |
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| | | void variance_cpu(float *x, float *mean, int batch, int filters, int spatial, float *variance); |
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| | | void normalize_cpu(float *x, float *mean, float *variance, int batch, int filters, int spatial); |
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| | | |
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| | | void scale_bias(float *output, float *scales, int batch, int n, int size); |
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| | | void backward_scale_cpu(float *x_norm, float *delta, int batch, int n, int size, float *scale_updates); |
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| | | void mean_delta_cpu(float *delta, float *variance, int batch, int filters, int spatial, float *mean_delta); |
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| | | void variance_delta_cpu(float *x, float *delta, float *mean, float *variance, int batch, int filters, int spatial, float *variance_delta); |
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| | | void normalize_delta_cpu(float *x, float *mean, float *variance, float *mean_delta, float *variance_delta, int batch, int filters, int spatial, float *delta); |
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| | | |
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| | | void smooth_l1_cpu(int n, float *pred, float *truth, float *delta, float *error); |
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| | | void l2_cpu(int n, float *pred, float *truth, float *delta, float *error); |
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| | | void weighted_sum_cpu(float *a, float *b, float *s, int num, float *c); |
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| | | |
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| | | #ifdef GPU |
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| | | void axpy_ongpu(int N, float ALPHA, float * X, int INCX, float * Y, int INCY); |
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| | | void axpy_ongpu_offset(int N, float ALPHA, float * X, int OFFX, int INCX, float * Y, int OFFY, int INCY); |
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| | |
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| | | |
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| | | void fast_variance_gpu(float *x, float *mean, int batch, int filters, int spatial, float *variance); |
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| | | void fast_mean_gpu(float *x, int batch, int filters, int spatial, float *mean); |
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| | | void shortcut_gpu(float *out, int w, int h, int c, int batch, int sample, float *add, int stride, int c2); |
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| | | void shortcut_gpu(int batch, int w1, int h1, int c1, float *add, int w2, int h2, int c2, float *out); |
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| | | void scale_bias_gpu(float *output, float *biases, int batch, int n, int size); |
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| | | void backward_scale_gpu(float *x_norm, float *delta, int batch, int n, int size, float *scale_updates); |
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| | | void scale_bias_gpu(float *output, float *biases, int batch, int n, int size); |
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| | | void add_bias_gpu(float *output, float *biases, int batch, int n, int size); |
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| | | void backward_bias_gpu(float *bias_updates, float *delta, int batch, int n, int size); |
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| | | |
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| | | void smooth_l1_gpu(int n, float *pred, float *truth, float *delta, float *error); |
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| | | void l2_gpu(int n, float *pred, float *truth, float *delta, float *error); |
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| | | void weighted_delta_gpu(float *a, float *b, float *s, float *da, float *db, float *ds, int num, float *dc); |
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| | | void weighted_sum_gpu(float *a, float *b, float *s, int num, float *c); |
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| | | void mult_add_into_gpu(int num, float *a, float *b, float *c); |
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| | | |
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| | | |
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| | | #endif |
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| | | #endif |
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