зеркало из https://github.com/microsoft/LightGBM.git
286 строки
12 KiB
OpenEdge ABL
286 строки
12 KiB
OpenEdge ABL
/*!
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* Copyright (c) 2018 Microsoft Corporation. All rights reserved.
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* Licensed under the MIT License. See LICENSE file in the project root for license information.
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*/
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/* lightgbmlib.i */
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%module lightgbmlib
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%ignore LGBM_BoosterSaveModelToString;
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%ignore LGBM_BoosterGetEvalNames;
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%ignore LGBM_BoosterGetFeatureNames;
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%{
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/* Includes the header in the wrapper code */
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#include "../include/LightGBM/export.h"
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#include "../include/LightGBM/utils/log.h"
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#include "../include/LightGBM/utils/common.h"
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#include "../include/LightGBM/c_api.h"
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%}
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%include "various.i"
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%include "carrays.i"
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%include "cpointer.i"
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%include "stdint.i"
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/* Note: instead of using array_functions for string array we apply a typemap instead.
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Future char** parameter names should be added to the typemap.
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*/
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%apply char **STRING_ARRAY { char **feature_names, char **out_strs }
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/* header files */
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%include "../include/LightGBM/export.h"
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%include "../include/LightGBM/c_api.h"
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%typemap(in, numinputs = 0) JNIEnv *jenv %{
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$1 = jenv;
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%}
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%inline %{
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char * LGBM_BoosterSaveModelToStringSWIG(BoosterHandle handle,
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int start_iteration,
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int num_iteration,
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int feature_importance_type,
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int64_t buffer_len,
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int64_t* out_len) {
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char* dst = new char[buffer_len];
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int result = LGBM_BoosterSaveModelToString(handle, start_iteration, num_iteration, feature_importance_type, buffer_len, out_len, dst);
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// Reallocate to use larger length
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if (*out_len > buffer_len) {
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delete [] dst;
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int64_t realloc_len = *out_len;
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dst = new char[realloc_len];
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result = LGBM_BoosterSaveModelToString(handle, start_iteration, num_iteration, feature_importance_type, realloc_len, out_len, dst);
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}
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if (result != 0) {
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return nullptr;
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}
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return dst;
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}
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char * LGBM_BoosterDumpModelSWIG(BoosterHandle handle,
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int start_iteration,
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int num_iteration,
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int feature_importance_type,
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int64_t buffer_len,
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int64_t* out_len) {
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char* dst = new char[buffer_len];
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int result = LGBM_BoosterDumpModel(handle, start_iteration, num_iteration, feature_importance_type, buffer_len, out_len, dst);
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// Reallocate to use larger length
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if (*out_len > buffer_len) {
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delete [] dst;
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int64_t realloc_len = *out_len;
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dst = new char[realloc_len];
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result = LGBM_BoosterDumpModel(handle, start_iteration, num_iteration, feature_importance_type, realloc_len, out_len, dst);
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}
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if (result != 0) {
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return nullptr;
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}
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return dst;
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}
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int LGBM_BoosterPredictForMatSingle(JNIEnv *jenv,
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jdoubleArray data,
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BoosterHandle handle,
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int data_type,
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int ncol,
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int is_row_major,
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int predict_type,
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int start_iteration,
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int num_iteration,
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const char* parameter,
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int64_t* out_len,
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double* out_result) {
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double* data0 = (double*)jenv->GetPrimitiveArrayCritical(data, 0);
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int ret = LGBM_BoosterPredictForMatSingleRow(handle, data0, data_type, ncol, is_row_major, predict_type, start_iteration,
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num_iteration, parameter, out_len, out_result);
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jenv->ReleasePrimitiveArrayCritical(data, data0, JNI_ABORT);
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return ret;
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}
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/*! \brief Even faster variant of `LGBM_BoosterPredictForMatSingle`.
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*
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* Uses `LGBM_BoosterPredictForMatSingleRowFast` which is faster
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* than `LGBM_BoosterPredictForMatSingleRow` and the trick of
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* `LGBM_BoosterPredictForMatSingle` to capture the Java data array
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* using `GetPrimitiveArrayCritical`, which can yield faster access
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* to the array if the JVM passes the actual address to the C++ side
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* instead of performing a copy.
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*/
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int LGBM_BoosterPredictForMatSingleRowFastCriticalSWIG(JNIEnv *jenv,
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jdoubleArray data,
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FastConfigHandle handle,
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int64_t* out_len,
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double* out_result) {
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double* data0 = (double*)jenv->GetPrimitiveArrayCritical(data, 0);
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int ret = LGBM_BoosterPredictForMatSingleRowFast(handle, data0, out_len, out_result);
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jenv->ReleasePrimitiveArrayCritical(data, data0, JNI_ABORT);
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return ret;
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}
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int LGBM_BoosterPredictForCSRSingle(JNIEnv *jenv,
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jintArray indices,
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jdoubleArray values,
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int numNonZeros,
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BoosterHandle handle,
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int indptr_type,
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int data_type,
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int64_t nelem,
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int64_t num_col,
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int predict_type,
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int start_iteration,
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int num_iteration,
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const char* parameter,
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int64_t* out_len,
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double* out_result) {
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// Alternatives
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// - GetIntArrayElements: performs copy
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// - GetDirectBufferAddress: fails on wrapped array
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// Some words of warning for GetPrimitiveArrayCritical
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// https://stackoverflow.com/questions/23258357/whats-the-trade-off-between-using-getprimitivearraycritical-and-getprimitivety
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jboolean isCopy;
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int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, &isCopy);
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double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, &isCopy);
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int32_t ind[2] = { 0, numNonZeros };
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int ret = LGBM_BoosterPredictForCSRSingleRow(handle, ind, indptr_type, indices0, values0, data_type, 2,
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nelem, num_col, predict_type, start_iteration, num_iteration, parameter, out_len, out_result);
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jenv->ReleasePrimitiveArrayCritical(values, values0, JNI_ABORT);
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jenv->ReleasePrimitiveArrayCritical(indices, indices0, JNI_ABORT);
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return ret;
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}
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/*! \brief Even faster variant of `LGBM_BoosterPredictForCSRSingle`.
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*
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* Uses `LGBM_BoosterPredictForCSRSingleRowFast` which is faster
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* than `LGBM_BoosterPredictForMatSingleRow` and the trick of
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* `LGBM_BoosterPredictForCSRSingle` to capture the Java data array
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* using `GetPrimitiveArrayCritical`, which can yield faster access
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* to the array if the JVM passes the actual address to the C++ side
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* instead of performing a copy.
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*/
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int LGBM_BoosterPredictForCSRSingleRowFastCriticalSWIG(JNIEnv *jenv,
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jintArray indices,
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jdoubleArray values,
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int numNonZeros,
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FastConfigHandle handle,
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int indptr_type,
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int64_t nelem,
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int64_t* out_len,
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double* out_result) {
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// Alternatives
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// - GetIntArrayElements: performs copy
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// - GetDirectBufferAddress: fails on wrapped array
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// Some words of warning for GetPrimitiveArrayCritical
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// https://stackoverflow.com/questions/23258357/whats-the-trade-off-between-using-getprimitivearraycritical-and-getprimitivety
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jboolean isCopy;
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int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, &isCopy);
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double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, &isCopy);
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int32_t ind[2] = { 0, numNonZeros };
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int ret = LGBM_BoosterPredictForCSRSingleRowFast(handle, ind, indptr_type, indices0, values0, 2,
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nelem, out_len, out_result);
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jenv->ReleasePrimitiveArrayCritical(values, values0, JNI_ABORT);
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jenv->ReleasePrimitiveArrayCritical(indices, indices0, JNI_ABORT);
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return ret;
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}
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#include <functional>
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#include <vector>
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struct CSRDirect {
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jintArray indices;
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jdoubleArray values;
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int* indices0;
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double* values0;
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int size;
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};
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int LGBM_DatasetCreateFromCSRSpark(JNIEnv *jenv,
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jobjectArray arrayOfSparseVector,
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int num_rows,
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int64_t num_col,
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const char* parameters,
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const DatasetHandle reference,
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DatasetHandle* out) {
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jclass sparseVectorClass = jenv->FindClass("org/apache/spark/ml/linalg/SparseVector");
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jmethodID sparseVectorIndices = jenv->GetMethodID(sparseVectorClass, "indices", "()[I");
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jmethodID sparseVectorValues = jenv->GetMethodID(sparseVectorClass, "values", "()[D");
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std::vector<CSRDirect> jniCache;
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jniCache.reserve(num_rows);
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// this needs to be done ahead of time as row_func is invoked from multiple threads
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// these threads would have to be registered with the JVM and also unregistered.
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// It is not clear if that can be achieved with OpenMP
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for (int i = 0; i < num_rows; i++) {
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// get the row
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jobject objSparseVec = jenv->GetObjectArrayElement(arrayOfSparseVector, i);
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// get the size, indices and values
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auto indices = (jintArray)jenv->CallObjectMethod(objSparseVec, sparseVectorIndices);
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if (jenv->ExceptionCheck()) {
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return -1;
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}
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auto values = (jdoubleArray)jenv->CallObjectMethod(objSparseVec, sparseVectorValues);
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if (jenv->ExceptionCheck()) {
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return -1;
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}
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int size = jenv->GetArrayLength(indices);
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// Note: when testing on larger data (e.g. 288k rows per partition and 36mio rows total)
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// using GetPrimitiveArrayCritical resulted in a dead-lock
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// lock arrays
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// int* indices0 = (int*)jenv->GetPrimitiveArrayCritical(indices, 0);
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// double* values0 = (double*)jenv->GetPrimitiveArrayCritical(values, 0);
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// in test-usecase an alternative to GetPrimitiveArrayCritical as it performs copies
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int* indices0 = (int *)jenv->GetIntArrayElements(indices, 0);
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double* values0 = jenv->GetDoubleArrayElements(values, 0);
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jniCache.push_back({indices, values, indices0, values0, size});
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}
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// type is important here as we want a std::function, rather than a lambda
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std::function<void(int idx, std::vector<std::pair<int, double>>& ret)> row_func = [&](int row_num, std::vector<std::pair<int, double>>& ret) {
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auto& jc = jniCache[row_num];
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ret.clear(); // reset size, but not free()
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ret.reserve(jc.size); // make sure we have enough allocated
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// copy data
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int* indices0p = jc.indices0;
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double* values0p = jc.values0;
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int* indices0e = indices0p + jc.size;
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for (; indices0p != indices0e; ++indices0p, ++values0p)
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ret.emplace_back(*indices0p, *values0p);
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};
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int ret = LGBM_DatasetCreateFromCSRFunc(&row_func, num_rows, num_col, parameters, reference, out);
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for (auto& jc : jniCache) {
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// jenv->ReleasePrimitiveArrayCritical(jc.values, jc.values0, JNI_ABORT);
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// jenv->ReleasePrimitiveArrayCritical(jc.indices, jc.indices0, JNI_ABORT);
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jenv->ReleaseDoubleArrayElements(jc.values, jc.values0, JNI_ABORT);
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jenv->ReleaseIntArrayElements(jc.indices, (jint *)jc.indices0, JNI_ABORT);
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}
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return ret;
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}
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%}
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%include "pointer_manipulation.i"
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%include "StringArray_API_extensions.i"
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%include "ChunkedArray_API_extensions.i"
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