From f0ba48b629c6eefbaea4cd7b9ee35ba2aa18d865 Mon Sep 17 00:00:00 2001
From: Gertjan van den Burg <gertjanvandenburg@gmail.com>
Date: Mon, 9 May 2016 21:20:37 +0200
Subject: remove all unnecessary allocation checks

---
 src/gensvm_kernel.c | 25 -------------------------
 1 file changed, 25 deletions(-)

(limited to 'src/gensvm_kernel.c')

diff --git a/src/gensvm_kernel.c b/src/gensvm_kernel.c
index f53bcce..76413d1 100644
--- a/src/gensvm_kernel.c
+++ b/src/gensvm_kernel.c
@@ -43,11 +43,6 @@ void gensvm_kernel_preprocess(struct GenModel *model, struct GenData *data)
 
 	// build the kernel matrix
 	K = Calloc(double, n*n);
-	if (K == NULL) {
-		fprintf(stderr, "Failed to allocate memory for K in "
-				"gensvm_kernel_preprocess.\n");
-		exit(1);
-	}
 	gensvm_make_kernel(model, data, K);
 
 	// generate the eigen decomposition
@@ -295,11 +290,6 @@ void gensvm_make_trainfactor(struct GenData *data, double *P, double *Sigma,
 
 	// allocate Z
 	data->Z = Calloc(double, n*(r+1));
-	if (data->Z == NULL) {
-		fprintf(stderr, "Failed to allocate memory for data->Z in "
-				"gensvm_make_trainfactor.\n");
-		exit(1);
-	}
 
 	// Write data->Z = [1 M] = [1 P*Sigma]
 	for (i=0; i<n; i++) {
@@ -328,17 +318,7 @@ void gensvm_make_testfactor(struct GenData *testdata,
 	r = traindata->r;
 
 	N = Calloc(double, n2*r);
-	if (N == NULL) {
-		fprintf(stderr, "Failed to allocate memory for N in "
-				"gensvm_make_testfactor.\n");
-		exit(1);
-	}
 	M = Calloc(double, n1*r);
-	if (M == NULL) {
-		fprintf(stderr, "Failed to allocate memory for M in "
-				"gensvm_make_testfactor.\n");
-		exit(1);
-	}
 
 	// copy M from traindata->Z because we need it in dgemm without column
 	// of 1's.
@@ -373,11 +353,6 @@ void gensvm_make_testfactor(struct GenData *testdata,
 
 	// write N to Z with a column of ones
 	testdata->Z = Calloc(double, n2*(r+1));
-	if (testdata->Z == NULL) {
-		fprintf(stderr, "Failed to allocate memory for testdata->Z in "
-				"gensvm_make_testfactor.\n");
-		exit(1);
-	}
 	for (i=0; i<n2; i++) {
 		for (j=0; j<r; j++) {
 			matrix_set(testdata->Z, r+1, i, j+1,
-- 
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