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Amended SPDLOG_X log functions to be KP_LOG_X

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This commit is contained in:
Alejandro Saucedo 2021-02-21 11:51:34 +00:00
parent db6aa3e1e3
commit 29c50e5728
21 changed files with 304 additions and 296 deletions
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8
examples/android/android-simple/app/src/main/cpp/KomputeJniNative.cpp
View file

@ -51,12 +51,12 @@ extern "C" {
JNIEXPORT jboolean JNICALL
Java_com_ethicalml_kompute_KomputeJni_initVulkan(JNIEnv *env, jobject thiz) {
SPDLOG_INFO("Initialising vulkan");
KP_LOG_INFO("Initialising vulkan");
uint32_t totalRetries = 0;
while (totalRetries < KOMPUTE_VK_INIT_RETRIES) {
SPDLOG_INFO("VULKAN LOAD TRY NUMBER: %u", totalRetries);
KP_LOG_INFO("VULKAN LOAD TRY NUMBER: %u", totalRetries);
if(InitVulkan()) {
break;
}
@ -76,7 +76,7 @@ Java_com_ethicalml_kompute_KomputeJni_kompute(
jfloatArray xjJFloatArr,
jfloatArray yJFloatArr) {
SPDLOG_INFO("Creating manager");
KP_LOG_INFO("Creating manager");
std::vector<float> xiVector = jfloatArrayToVector(env, xiJFloatArr);
std::vector<float> xjVector = jfloatArrayToVector(env, xjJFloatArr);
@ -98,7 +98,7 @@ Java_com_ethicalml_kompute_KomputeJni_komputeParams(
jfloatArray xjJFloatArr,
jfloatArray yJFloatArr) {
SPDLOG_INFO("Creating manager");
KP_LOG_INFO("Creating manager");
std::vector<float> xiVector = jfloatArrayToVector(env, xiJFloatArr);
std::vector<float> xjVector = jfloatArrayToVector(env, xjJFloatArr);

10
examples/godot_logistic_regression/custom_module/kompute_model_ml/KomputeModelMLNode.cpp
View file

@ -92,10 +92,10 @@ void KomputeModelMLNode::train(Array yArr, Array xIArr, Array xJArr) {
}
}
SPDLOG_INFO("RESULT: <<<<<<<<<<<<<<<<<<<");
SPDLOG_INFO(wIn->data()[0]);
SPDLOG_INFO(wIn->data()[1]);
SPDLOG_INFO(bIn->data()[0]);
KP_LOG_INFO("RESULT: <<<<<<<<<<<<<<<<<<<");
KP_LOG_INFO(wIn->data()[0]);
KP_LOG_INFO(wIn->data()[1]);
KP_LOG_INFO(bIn->data()[0]);
this->mWeights = kp::Tensor(wIn->data());
this->mBias = kp::Tensor(bIn->data());
@ -127,7 +127,7 @@ Array KomputeModelMLNode::predict(Array xI, Array xJ) {
Array KomputeModelMLNode::get_params() {
Array retArray;
SPDLOG_INFO(this->mWeights.size() + this->mBias.size());
KP_LOG_INFO(this->mWeights.size() + this->mBias.size());
if(this->mWeights.size() + this->mBias.size() == 0) {
return retArray;

10
examples/godot_logistic_regression/gdnative_shared/src/KomputeModelML.cpp
View file

@ -96,10 +96,10 @@ void KomputeModelML::train(Array yArr, Array xIArr, Array xJArr) {
}
}
SPDLOG_INFO("RESULT: <<<<<<<<<<<<<<<<<<<");
SPDLOG_INFO(wIn->data()[0]);
SPDLOG_INFO(wIn->data()[1]);
SPDLOG_INFO(bIn->data()[0]);
KP_LOG_INFO("RESULT: <<<<<<<<<<<<<<<<<<<");
KP_LOG_INFO(wIn->data()[0]);
KP_LOG_INFO(wIn->data()[1]);
KP_LOG_INFO(bIn->data()[0]);
this->mWeights = kp::Tensor(wIn->data());
this->mBias = kp::Tensor(bIn->data());
@ -131,7 +131,7 @@ Array KomputeModelML::predict(Array xI, Array xJ) {
Array KomputeModelML::get_params() {
Array retArray;
SPDLOG_INFO(this->mWeights.size() + this->mBias.size());
KP_LOG_INFO(this->mWeights.size() + this->mBias.size());
if(this->mWeights.size() + this->mBias.size() == 0) {
return retArray;