LightGBM/swig/lightgbmlib.i

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/*!
* Copyright (c) 2018 Microsoft Corporation. All rights reserved.
* Licensed under the MIT License. See LICENSE file in the project root for license information.
*/
/* lightgbmlib.i */
%module lightgbmlib
%ignore LGBM_BoosterSaveModelToString;
%ignore LGBM_BoosterGetEvalNames;
Fix SWIG methods that return char** (#2850) * [swig] Fix SWIG methods that return char** with StringArray. + [new] Add StringArray class to manage and manipulate arrays of fixed-length strings: This class is now used to wrap any char** parameters, manage memory and manipulate the strings. Such class is defined at swig/StringArray.hpp and wrapped in StringArray.i. + [API+fix] Wrap LGBM_BoosterGetFeatureNames it resulted in segfault before: Added wrapper LGBM_BoosterGetFeatureNamesSWIG(BoosterHandle) that only receives the booster handle and figures how much memory to allocate for strings and returns a StringArray which can be easily converted to String[]. + [API+safety] For consistency, LGBM_BoosterGetEvalNamesSWIG was wrapped as well: * Refactor to detect any kind of errors and removed all the parameters besides the BoosterHandle (much simpler API to use in Java). * No assumptions are made about the required string space necessary (128 before). * The amount of required string memory is computed internally + [safety] No possibility of undefined behaviour The two methods wrapped above now compute the necessary string storage space prior to allocation, as the low-level C API calls would crash the process irreversibly if they write more memory than which is passed to them. * Changes to C API and wrappers support char** To support the latest SWIG changes that enable proper char** return support that is safe, the C API was changed. The respecive wrappers in R and Python were changed too. * Cleanup indentation in new lightgbm_R.cpp code * Adress review code-style comments. * Update swig/StringArray.hpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/basic.py Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update src/lightgbm_R.cpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-03-20 04:05:38 +03:00
%ignore LGBM_BoosterGetFeatureNames;
%{
/* Includes the header in the wrapper code */
#include "../include/LightGBM/export.h"
#include "../include/LightGBM/utils/log.h"
#include "../include/LightGBM/utils/common.h"
#include "../include/LightGBM/c_api.h"
%}
%include "various.i"
%include "carrays.i"
%include "cpointer.i"
%include "stdint.i"
/* Note: instead of using array_functions for string array we apply a typemap instead.
Future char** parameter names should be added to the typemap.
*/
%apply char **STRING_ARRAY { char **feature_names, char **out_strs }
/* header files */
%include "../include/LightGBM/export.h"
%include "../include/LightGBM/c_api.h"
%typemap(in, numinputs = 0) JNIEnv *jenv %{
$1 = jenv;
%}
%inline %{
char * LGBM_BoosterSaveModelToStringSWIG(BoosterHandle handle,
int start_iteration,
int num_iteration,
int feature_importance_type,
int64_t buffer_len,
int64_t* out_len) {
char* dst = new char[buffer_len];
int result = LGBM_BoosterSaveModelToString(handle, start_iteration, num_iteration, feature_importance_type, buffer_len, out_len, dst);
// Reallocate to use larger length
if (*out_len > buffer_len) {
delete [] dst;
int64_t realloc_len = *out_len;
dst = new char[realloc_len];
result = LGBM_BoosterSaveModelToString(handle, start_iteration, num_iteration, feature_importance_type, realloc_len, out_len, dst);
}
if (result != 0) {
return nullptr;
}
return dst;
}
char * LGBM_BoosterDumpModelSWIG(BoosterHandle handle,
int start_iteration,
int num_iteration,
int feature_importance_type,
int64_t buffer_len,
int64_t* out_len) {
char* dst = new char[buffer_len];
int result = LGBM_BoosterDumpModel(handle, start_iteration, num_iteration, feature_importance_type, buffer_len, out_len, dst);
// Reallocate to use larger length
if (*out_len > buffer_len) {
delete [] dst;
int64_t realloc_len = *out_len;
dst = new char[realloc_len];
result = LGBM_BoosterDumpModel(handle, start_iteration, num_iteration, feature_importance_type, realloc_len, out_len, dst);
}
if (result != 0) {
return nullptr;
}
return dst;
}
int LGBM_BoosterPredictForMatSingle(JNIEnv *jenv,
jdoubleArray data,
BoosterHandle handle,
int data_type,
int ncol,
int is_row_major,
int predict_type,
int start_iteration,
int num_iteration,
const char* parameter,
int64_t* out_len,
double* out_result) {
double* data0 = (double*)jenv->GetPrimitiveArrayCritical(data, 0);
int ret = LGBM_BoosterPredictForMatSingleRow(handle, data0, data_type, ncol, is_row_major, predict_type, start_iteration,
num_iteration, parameter, out_len, out_result);
jenv->ReleasePrimitiveArrayCritical(data, data0, JNI_ABORT);
return ret;
}
Feat/optimize single prediction (#2992) * [performance] Add Fast methods to C API for SingleRow Predictions * Add methods to C API to make single-row predictions faster: - LGBM_BoosterPredictForMatSingleRowFastInit (setup) - LGBM_BoosterPredictForMatSingleRowFast (predict) - LGBM_FastConfigFree (cleanup setup outputs) * Code syle cleanup * Fix lint errors * [performance] Revert FastConfig improvement to pass data at init This reduces optimization by 5% / 30% with this branch but makes it so it can be used for higher level wrappers in MMLSpark. And outside it as well. * [performance] Introduce Fast variants for SingleRow predictors. Although this already provides performance gains by itself for any callers, two new functions were added to Java's SWIG interfaces to exploit that AND the GetPrimitiveArrayCritical data fetches. * [tests/profiling] Profile Fast predict methods Build with -DBUILD_PROFILING_TESTS=ON and copy the default model trained on the Higgs dataset from the benchmarks repo https://github.com/guolinke/boosting_tree_benchmarks.git to LightGBM repo root and run the lightgbm_profile_* binaries. The single instance used is the first row from that dataset. * Update comment on CMakeLists. * Fix doxygen-introduced issue (#threads) * Fix conflicts due to new RowFunctionFromCSR signature in master * Change FastConfig ncol to int32_t. * Removed profiling folder * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * Doxygen: change new docstrings to double back-quote Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-07-15 22:50:56 +03:00
/*! \brief Even faster variant of `LGBM_BoosterPredictForMatSingle`.
*
* Uses `LGBM_BoosterPredictForMatSingleRowFast` which is faster
* than `LGBM_BoosterPredictForMatSingleRow` and the trick of
* `LGBM_BoosterPredictForMatSingle` to capture the Java data array
* using `GetPrimitiveArrayCritical`, which can yield faster access
* to the array if the JVM passes the actual address to the C++ side
* instead of performing a copy.
*/
int LGBM_BoosterPredictForMatSingleRowFastCriticalSWIG(JNIEnv *jenv,
jdoubleArray data,
FastConfigHandle handle,
int64_t* out_len,
double* out_result) {
double* data0 = (double*)jenv->GetPrimitiveArrayCritical(data, 0);
int ret = LGBM_BoosterPredictForMatSingleRowFast(handle, data0, out_len, out_result);
Feat/optimize single prediction (#2992) * [performance] Add Fast methods to C API for SingleRow Predictions * Add methods to C API to make single-row predictions faster: - LGBM_BoosterPredictForMatSingleRowFastInit (setup) - LGBM_BoosterPredictForMatSingleRowFast (predict) - LGBM_FastConfigFree (cleanup setup outputs) * Code syle cleanup * Fix lint errors * [performance] Revert FastConfig improvement to pass data at init This reduces optimization by 5% / 30% with this branch but makes it so it can be used for higher level wrappers in MMLSpark. And outside it as well. * [performance] Introduce Fast variants for SingleRow predictors. Although this already provides performance gains by itself for any callers, two new functions were added to Java's SWIG interfaces to exploit that AND the GetPrimitiveArrayCritical data fetches. * [tests/profiling] Profile Fast predict methods Build with -DBUILD_PROFILING_TESTS=ON and copy the default model trained on the Higgs dataset from the benchmarks repo https://github.com/guolinke/boosting_tree_benchmarks.git to LightGBM repo root and run the lightgbm_profile_* binaries. The single instance used is the first row from that dataset. * Update comment on CMakeLists. * Fix doxygen-introduced issue (#threads) * Fix conflicts due to new RowFunctionFromCSR signature in master * Change FastConfig ncol to int32_t. * Removed profiling folder * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * Doxygen: change new docstrings to double back-quote Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-07-15 22:50:56 +03:00
jenv->ReleasePrimitiveArrayCritical(data, data0, JNI_ABORT);
return ret;
}
int LGBM_BoosterPredictForCSRSingle(JNIEnv *jenv,
jintArray indices,
jdoubleArray values,
int numNonZeros,
BoosterHandle handle,
int indptr_type,
int data_type,
int64_t nelem,
int64_t num_col,
int predict_type,
int start_iteration,
int num_iteration,
const char* parameter,
int64_t* out_len,
double* out_result) {
// Alternatives
// - GetIntArrayElements: performs copy
// - GetDirectBufferAddress: fails on wrapped array
// Some words of warning for GetPrimitiveArrayCritical
// https://stackoverflow.com/questions/23258357/whats-the-trade-off-between-using-getprimitivearraycritical-and-getprimitivety
jboolean isCopy;
int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, &isCopy);
double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, &isCopy);
int32_t ind[2] = { 0, numNonZeros };
int ret = LGBM_BoosterPredictForCSRSingleRow(handle, ind, indptr_type, indices0, values0, data_type, 2,
nelem, num_col, predict_type, start_iteration, num_iteration, parameter, out_len, out_result);
jenv->ReleasePrimitiveArrayCritical(values, values0, JNI_ABORT);
Feat/optimize single prediction (#2992) * [performance] Add Fast methods to C API for SingleRow Predictions * Add methods to C API to make single-row predictions faster: - LGBM_BoosterPredictForMatSingleRowFastInit (setup) - LGBM_BoosterPredictForMatSingleRowFast (predict) - LGBM_FastConfigFree (cleanup setup outputs) * Code syle cleanup * Fix lint errors * [performance] Revert FastConfig improvement to pass data at init This reduces optimization by 5% / 30% with this branch but makes it so it can be used for higher level wrappers in MMLSpark. And outside it as well. * [performance] Introduce Fast variants for SingleRow predictors. Although this already provides performance gains by itself for any callers, two new functions were added to Java's SWIG interfaces to exploit that AND the GetPrimitiveArrayCritical data fetches. * [tests/profiling] Profile Fast predict methods Build with -DBUILD_PROFILING_TESTS=ON and copy the default model trained on the Higgs dataset from the benchmarks repo https://github.com/guolinke/boosting_tree_benchmarks.git to LightGBM repo root and run the lightgbm_profile_* binaries. The single instance used is the first row from that dataset. * Update comment on CMakeLists. * Fix doxygen-introduced issue (#threads) * Fix conflicts due to new RowFunctionFromCSR signature in master * Change FastConfig ncol to int32_t. * Removed profiling folder * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * Doxygen: change new docstrings to double back-quote Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-07-15 22:50:56 +03:00
jenv->ReleasePrimitiveArrayCritical(indices, indices0, JNI_ABORT);
return ret;
}
/*! \brief Even faster variant of `LGBM_BoosterPredictForCSRSingle`.
*
* Uses `LGBM_BoosterPredictForCSRSingleRowFast` which is faster
* than `LGBM_BoosterPredictForMatSingleRow` and the trick of
* `LGBM_BoosterPredictForCSRSingle` to capture the Java data array
* using `GetPrimitiveArrayCritical`, which can yield faster access
* to the array if the JVM passes the actual address to the C++ side
* instead of performing a copy.
*/
int LGBM_BoosterPredictForCSRSingleRowFastCriticalSWIG(JNIEnv *jenv,
jintArray indices,
jdoubleArray values,
int numNonZeros,
FastConfigHandle handle,
int indptr_type,
int64_t nelem,
int64_t* out_len,
double* out_result) {
// Alternatives
// - GetIntArrayElements: performs copy
// - GetDirectBufferAddress: fails on wrapped array
// Some words of warning for GetPrimitiveArrayCritical
// https://stackoverflow.com/questions/23258357/whats-the-trade-off-between-using-getprimitivearraycritical-and-getprimitivety
jboolean isCopy;
int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, &isCopy);
double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, &isCopy);
int32_t ind[2] = { 0, numNonZeros };
int ret = LGBM_BoosterPredictForCSRSingleRowFast(handle, ind, indptr_type, indices0, values0, 2,
nelem, out_len, out_result);
Feat/optimize single prediction (#2992) * [performance] Add Fast methods to C API for SingleRow Predictions * Add methods to C API to make single-row predictions faster: - LGBM_BoosterPredictForMatSingleRowFastInit (setup) - LGBM_BoosterPredictForMatSingleRowFast (predict) - LGBM_FastConfigFree (cleanup setup outputs) * Code syle cleanup * Fix lint errors * [performance] Revert FastConfig improvement to pass data at init This reduces optimization by 5% / 30% with this branch but makes it so it can be used for higher level wrappers in MMLSpark. And outside it as well. * [performance] Introduce Fast variants for SingleRow predictors. Although this already provides performance gains by itself for any callers, two new functions were added to Java's SWIG interfaces to exploit that AND the GetPrimitiveArrayCritical data fetches. * [tests/profiling] Profile Fast predict methods Build with -DBUILD_PROFILING_TESTS=ON and copy the default model trained on the Higgs dataset from the benchmarks repo https://github.com/guolinke/boosting_tree_benchmarks.git to LightGBM repo root and run the lightgbm_profile_* binaries. The single instance used is the first row from that dataset. * Update comment on CMakeLists. * Fix doxygen-introduced issue (#threads) * Fix conflicts due to new RowFunctionFromCSR signature in master * Change FastConfig ncol to int32_t. * Removed profiling folder * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * fix doxygen typo include/LightGBM/c_api.h Co-authored-by: Nikita Titov <nekit94-08@mail.ru> * Doxygen: change new docstrings to double back-quote Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-07-15 22:50:56 +03:00
jenv->ReleasePrimitiveArrayCritical(values, values0, JNI_ABORT);
jenv->ReleasePrimitiveArrayCritical(indices, indices0, JNI_ABORT);
return ret;
}
#include <functional>
#include <vector>
struct CSRDirect {
jintArray indices;
jdoubleArray values;
int* indices0;
double* values0;
int size;
};
int LGBM_DatasetCreateFromCSRSpark(JNIEnv *jenv,
jobjectArray arrayOfSparseVector,
int num_rows,
int64_t num_col,
const char* parameters,
const DatasetHandle reference,
DatasetHandle* out) {
jclass sparseVectorClass = jenv->FindClass("org/apache/spark/ml/linalg/SparseVector");
jmethodID sparseVectorIndices = jenv->GetMethodID(sparseVectorClass, "indices", "()[I");
jmethodID sparseVectorValues = jenv->GetMethodID(sparseVectorClass, "values", "()[D");
std::vector<CSRDirect> jniCache;
jniCache.reserve(num_rows);
// this needs to be done ahead of time as row_func is invoked from multiple threads
// these threads would have to be registered with the JVM and also unregistered.
// It is not clear if that can be achieved with OpenMP
for (int i = 0; i < num_rows; i++) {
// get the row
jobject objSparseVec = jenv->GetObjectArrayElement(arrayOfSparseVector, i);
// get the size, indices and values
auto indices = (jintArray)jenv->CallObjectMethod(objSparseVec, sparseVectorIndices);
if (jenv->ExceptionCheck()) {
return -1;
}
auto values = (jdoubleArray)jenv->CallObjectMethod(objSparseVec, sparseVectorValues);
if (jenv->ExceptionCheck()) {
return -1;
}
int size = jenv->GetArrayLength(indices);
// Note: when testing on larger data (e.g. 288k rows per partition and 36mio rows total)
// using GetPrimitiveArrayCritical resulted in a dead-lock
// lock arrays
// int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, 0);
// double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, 0);
// in test-usecase an alternative to GetPrimitiveArrayCritical as it performs copies
int* indices0 = (int *)jenv->GetIntArrayElements(indices, 0);
double* values0 = jenv->GetDoubleArrayElements(values, 0);
jniCache.push_back({indices, values, indices0, values0, size});
}
// type is important here as we want a std::function, rather than a lambda
std::function<void(int idx, std::vector<std::pair<int, double>>& ret)> row_func = [&](int row_num, std::vector<std::pair<int, double>>& ret) {
auto& jc = jniCache[row_num];
ret.clear(); // reset size, but not free()
ret.reserve(jc.size); // make sure we have enough allocated
// copy data
int* indices0p = jc.indices0;
double* values0p = jc.values0;
int* indices0e = indices0p + jc.size;
for (; indices0p != indices0e; ++indices0p, ++values0p)
ret.emplace_back(*indices0p, *values0p);
};
int ret = LGBM_DatasetCreateFromCSRFunc(&row_func, num_rows, num_col, parameters, reference, out);
for (auto& jc : jniCache) {
// jenv->ReleasePrimitiveArrayCritical(jc.values, jc.values0, JNI_ABORT);
// jenv->ReleasePrimitiveArrayCritical(jc.indices, jc.indices0, JNI_ABORT);
jenv->ReleaseDoubleArrayElements(jc.values, jc.values0, JNI_ABORT);
jenv->ReleaseIntArrayElements(jc.indices, (jint *)jc.indices0, JNI_ABORT);
}
return ret;
}
%}
Fix SWIG methods that return char** (#2850) * [swig] Fix SWIG methods that return char** with StringArray. + [new] Add StringArray class to manage and manipulate arrays of fixed-length strings: This class is now used to wrap any char** parameters, manage memory and manipulate the strings. Such class is defined at swig/StringArray.hpp and wrapped in StringArray.i. + [API+fix] Wrap LGBM_BoosterGetFeatureNames it resulted in segfault before: Added wrapper LGBM_BoosterGetFeatureNamesSWIG(BoosterHandle) that only receives the booster handle and figures how much memory to allocate for strings and returns a StringArray which can be easily converted to String[]. + [API+safety] For consistency, LGBM_BoosterGetEvalNamesSWIG was wrapped as well: * Refactor to detect any kind of errors and removed all the parameters besides the BoosterHandle (much simpler API to use in Java). * No assumptions are made about the required string space necessary (128 before). * The amount of required string memory is computed internally + [safety] No possibility of undefined behaviour The two methods wrapped above now compute the necessary string storage space prior to allocation, as the low-level C API calls would crash the process irreversibly if they write more memory than which is passed to them. * Changes to C API and wrappers support char** To support the latest SWIG changes that enable proper char** return support that is safe, the C API was changed. The respecive wrappers in R and Python were changed too. * Cleanup indentation in new lightgbm_R.cpp code * Adress review code-style comments. * Update swig/StringArray.hpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/basic.py Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update src/lightgbm_R.cpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-03-20 04:05:38 +03:00
%include "pointer_manipulation.i"
Fix SWIG methods that return char** (#2850) * [swig] Fix SWIG methods that return char** with StringArray. + [new] Add StringArray class to manage and manipulate arrays of fixed-length strings: This class is now used to wrap any char** parameters, manage memory and manipulate the strings. Such class is defined at swig/StringArray.hpp and wrapped in StringArray.i. + [API+fix] Wrap LGBM_BoosterGetFeatureNames it resulted in segfault before: Added wrapper LGBM_BoosterGetFeatureNamesSWIG(BoosterHandle) that only receives the booster handle and figures how much memory to allocate for strings and returns a StringArray which can be easily converted to String[]. + [API+safety] For consistency, LGBM_BoosterGetEvalNamesSWIG was wrapped as well: * Refactor to detect any kind of errors and removed all the parameters besides the BoosterHandle (much simpler API to use in Java). * No assumptions are made about the required string space necessary (128 before). * The amount of required string memory is computed internally + [safety] No possibility of undefined behaviour The two methods wrapped above now compute the necessary string storage space prior to allocation, as the low-level C API calls would crash the process irreversibly if they write more memory than which is passed to them. * Changes to C API and wrappers support char** To support the latest SWIG changes that enable proper char** return support that is safe, the C API was changed. The respecive wrappers in R and Python were changed too. * Cleanup indentation in new lightgbm_R.cpp code * Adress review code-style comments. * Update swig/StringArray.hpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update python-package/lightgbm/basic.py Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> * Update src/lightgbm_R.cpp Co-Authored-By: Nikita Titov <nekit94-08@mail.ru> Co-authored-by: alberto.ferreira <alberto.ferreira@feedzai.com> Co-authored-by: Nikita Titov <nekit94-08@mail.ru>
2020-03-20 04:05:38 +03:00
%include "StringArray_API_extensions.i"
%include "ChunkedArray_API_extensions.i"