From b36512ea2e7e6d2ec36a3241c1bf751e4e074fe1 Mon Sep 17 00:00:00 2001
From: vinjn <vinjn.z@gmail.com>
Date: Sat, 26 May 2018 13:42:53 +0000
Subject: [PATCH] classifier.c - add the awesome training chart and make sure "top" is not bigger than "classes" in datacfg file.

---
 src/blas.h |   18 ++++++++++++++++++
 1 files changed, 18 insertions(+), 0 deletions(-)

diff --git a/src/blas.h b/src/blas.h
index 47d930c..c40422a 100644
--- a/src/blas.h
+++ b/src/blas.h
@@ -1,8 +1,10 @@
 #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();
 
@@ -31,13 +33,20 @@
 
 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, int stride);
+void upsample_cpu(float *in, int w, int h, int c, int batch, int stride, int forward, float scale, float *out);
 
 #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);
@@ -68,6 +77,15 @@
 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 adam_update_gpu(float *w, float *d, float *m, float *v, float B1, float B2, float eps, float decay, float rate, int n, int batch, int t);
+
+void flatten_ongpu(float *x, int spatial, int layers, int batch, int forward, float *out);
+
+void upsample_gpu(float *in, int w, int h, int c, int batch, int stride, int forward, float scale, float *out);
 
 #endif
 #endif

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