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authorPjotr Prins2017-10-13 15:23:00 +0000
committerPjotr Prins2017-10-13 15:27:24 +0000
commitfdb48997ee3ed2b326a92f8e0cc7f72a4b38d8c8 (patch)
tree5f62e06dbacdec2d4ee60da9112508615d42fc1f /src/gemma.cpp
parent7eca3c49b7790007a4190b73209cab9ffb2bb117 (diff)
downloadpangemma-fdb48997ee3ed2b326a92f8e0cc7f72a4b38d8c8.tar.gz
Refactored debug settings
Replaced eigenlib_dgemm with fast_dgemm - 10-30% speed gain for GEMMA
Diffstat (limited to 'src/gemma.cpp')
-rw-r--r--src/gemma.cpp36
1 files changed, 20 insertions, 16 deletions
diff --git a/src/gemma.cpp b/src/gemma.cpp
index 95630c6..e2881a4 100644
--- a/src/gemma.cpp
+++ b/src/gemma.cpp
@@ -721,6 +721,7 @@ void GEMMA::PrintHelp(size_t option) {
cout << " -debug debug output" << endl;
cout << " -nind [num] read up to num individuals" << endl;
cout << " -issue [num] enable tests relevant to issue tracker" << endl;
+ cout << " -legacy run gemma in legacy mode" << endl;
cout << endl;
}
@@ -766,7 +767,7 @@ void GEMMA::Assign(int argc, char **argv, PARAM &cPar) {
str.assign(argv[i]);
cPar.file_mbfile = str;
} else if (strcmp(argv[i], "-silence") == 0) {
- cPar.mode_silence = true;
+ debug_set_quiet_mode(true);
} else if (strcmp(argv[i], "-g") == 0) {
if (argv[i + 1] == NULL || argv[i + 1][0] == '-') {
continue;
@@ -1367,8 +1368,9 @@ void GEMMA::Assign(int argc, char **argv, PARAM &cPar) {
++i;
str.clear();
str.assign(argv[i]);
- cPar.issue = atoi(str.c_str()); // for testing purposes
- enforce(cPar.issue > 0);
+ auto issue = atoi(str.c_str()); // for testing purposes
+ enforce(issue > 0);
+ debug_set_issue(issue);
} else if (strcmp(argv[i], "-emp") == 0) {
if (argv[i + 1] == NULL || argv[i + 1][0] == '-') {
continue;
@@ -1588,14 +1590,16 @@ void GEMMA::Assign(int argc, char **argv, PARAM &cPar) {
str.assign(argv[i]);
cPar.window_ns = atoi(str.c_str());
} else if (strcmp(argv[i], "-debug") == 0) {
- cPar.mode_debug = true;
+ // cPar.mode_debug = true;
debug_set_debug_mode(true);
} else if (strcmp(argv[i], "-no-check") == 0) {
- cPar.mode_check = false;
+ // cPar.mode_check = false;
debug_set_no_check_mode(true);
} else if (strcmp(argv[i], "-strict") == 0) {
- cPar.mode_strict = true;
+ // cPar.mode_strict = true;
debug_set_strict_mode(true);
+ } else if (strcmp(argv[i], "-legacy") == 0) {
+ debug_set_legacy_mode(true);
} else {
cout << "error! unrecognized option: " << argv[i] << endl;
cPar.error = true;
@@ -1742,7 +1746,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// center matrix G
CenterMatrix(G);
CenterMatrix(G_full);
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
// eigen-decomposition and calculate trace_G
cout << "Start Eigen-Decomposition..." << endl;
@@ -1882,7 +1886,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
}
// Now we have the Kinship matrix test it
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
if (cPar.a_mode == 21) {
cPar.WriteMatrix(G, "cXX");
@@ -2323,7 +2327,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// center matrix G
CenterMatrix(G);
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
(cPar.v_traceG).clear();
double d = 0;
@@ -2532,7 +2536,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
gsl_vector *eval = gsl_vector_calloc(Y->size1);
gsl_vector *env = gsl_vector_alloc(Y->size1);
gsl_vector *weight = gsl_vector_alloc(Y->size1);
- assert_issue(cPar.issue == 26, UtY->data[0] == 0.0);
+ assert_issue(is_issue(26), UtY->data[0] == 0.0);
// set covariates matrix W and phenotype matrix Y
// an intercept should be included in W,
@@ -2552,7 +2556,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// center matrix G
CenterMatrix(G);
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
// is residual weights are provided, then
if (!cPar.file_weight.empty()) {
@@ -2633,7 +2637,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
CalcUtX(U, W, UtW);
CalcUtX(U, Y, UtY);
- assert_issue(cPar.issue == 26, ROUND(UtY->data[0]) == -16.6143);
+ assert_issue(is_issue(26), ROUND(UtY->data[0]) == -16.6143);
LMM cLmm;
cLmm.CopyFromParam(cPar);
@@ -2650,7 +2654,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// calculate UtW and Uty
CalcUtX(U, W, UtW);
CalcUtX(U, Y, UtY);
- assert_issue(cPar.issue == 26, ROUND(UtY->data[0]) == -16.6143);
+ assert_issue(is_issue(26), ROUND(UtY->data[0]) == -16.6143);
// calculate REMLE/MLE estimate and pve for univariate model
if (cPar.n_ph == 1) { // one phenotype
@@ -2658,7 +2662,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
gsl_vector_view se_beta = gsl_matrix_row(se_B, 0);
gsl_vector_view UtY_col = gsl_matrix_column(UtY, 0);
- assert_issue(cPar.issue == 26, ROUND(UtY->data[0]) == -16.6143);
+ assert_issue(is_issue(26), ROUND(UtY->data[0]) == -16.6143);
CalcLambda('L', eval, UtW, &UtY_col.vector, cPar.l_min, cPar.l_max,
cPar.n_region, cPar.l_mle_null, cPar.logl_mle_H0);
@@ -2857,7 +2861,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// center matrix G
CenterMatrix(G);
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
} else {
cPar.ReadGenotypes(UtX, G, true);
}
@@ -2968,7 +2972,7 @@ void GEMMA::BatchRun(PARAM &cPar) {
// center matrix G
CenterMatrix(G);
- validate_K(G,cPar.mode_check,cPar.mode_strict);
+ validate_K(G);
} else {
cPar.ReadGenotypes(UtX, G, true);