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/*
* Licensed to the Apache Software Foundation (ASF) under one
* or more contributor license agreements. See the NOTICE file
* distributed with this work for additional information
* regarding copyright ownership. The ASF licenses this file
* to you under the Apache License, Version 2.0 (the
* "License"); you may not use this file except in compliance
* with the License. You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing,
* software distributed under the License is distributed on an
* "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
* KIND, either express or implied. See the License for the
* specific language governing permissions and limitations
* under the License.
*/
#include "config.h"
#include "systemml.h"
#include "libmatrixmult.h"
#include "libmatrixdnn.h"
// Linux:
// g++ -o lib/libsystemml_mkl-Linux-x86_64.so *.cpp -I$JAVA_HOME/include -I$MKLROOT/include -I$JAVA_HOME/include/linux -lmkl_rt -lpthread -lm -ldl -DUSE_INTEL_MKL -DUSE_MKL_DNN -L$MKLROOT/lib/intel64 -m64 -O3 -shared -fPIC
// g++ -o lib/libsystemml_openblas-Linux-x86_64.so *.cpp -I$JAVA_HOME/include -I$JAVA_HOME/include/linux -lopenblas -lpthread -lm -ldl -DUSE_OPEN_BLAS -I/opt/OpenBLAS/include/ -L/opt/OpenBLAS/lib/ -fopenmp -O3 -shared -fPIC
// Mac OSX:
// g++ -o libsystemml_mkl-linux-x86_64.dylib *.cpp -I$JAVA_HOME/include -I$MKLROOT/include -I$JAVA_HOME/include/linux -lmkl_rt -lpthread -lm -ldl -DUSE_INTEL_MKL -DUSE_GNU_THREADING -L$MKLROOT/lib/intel64 -m64 -fopenmp -O3 -dynamiclib -fPIC -undefined dynamic_lookup
// g++ -o libsystemml_openblas-linux-x86_64.dylib *.cpp -I$JAVA_HOME/include -I$JAVA_HOME/include/linux -lopenblas -lpthread -lm -ldl -DUSE_OPEN_BLAS -L/opt/OpenBLAS/lib/ -fopenmp -O3 -dynamiclib -fPIC -undefined dynamic_lookup
// Windows MKL:
// "C:\\Program Files (x86)\\Microsoft Visual Studio 12.0\\VC\\vcvarsall.bat" amd64
// "%MKLROOT%"\bin\mklvars.bat intel64
// set JAVA_HOME=C:\Program Files\Java\jdk1.8.0_25
// cl *.cpp -I. -I"%MKLROOT%"\include -I"%JAVA_HOME%"\include -I"%JAVA_HOME%"\include\win32 -DUSE_INTEL_MKL -Fesystemml_mkl-windows-x86_64.dll -MD -LD "%MKLROOT%"\lib\intel64_win\mkl_intel_thread_dll.lib "%MKLROOT%"\lib\intel64_win\mkl_core_dll.lib "%MKLROOT%"\lib\intel64_win\mkl_intel_lp64_dll.lib
// Windows OpenBLAS:
// "C:\\Program Files (x86)\\Microsoft Visual Studio 12.0\\VC\\vcvarsall.bat" amd64
// set JAVA_HOME=C:\Program Files\Java\jdk1.8.0_25
// cl *.cpp -I. -I"%OPENBLASROOT%"\include -I"%JAVA_HOME%"\include -I"%JAVA_HOME%"\include\win32 -DUSE_OPEN_BLAS -Fesystemml_openblas-windows-x86_64.dll -MD -LD "%OPENBLASROOT%"\lib\libopenblas.dll.a
// Results from Matrix-vector/vector-matrix 1M x 1K, dense show that GetDoubleArrayElements creates a copy on OpenJDK.
// Logic:
// 1. We chose GetDoubleArrayElements over GetPrimitiveArrayCritical in a multi-threaded scenario. This avoids any potential OOM related to GC halts.
// 2. For input array, we don't copy back the array using JNI_ABORT.
// JNI Methods to get/release double*
#define GET_DOUBLE_ARRAY(env, input, numThreads) \
((double*)env->GetPrimitiveArrayCritical(input, NULL))
// ( maxThreads != -1 && ((int)numThreads) == maxThreads ? ((double*)env->GetPrimitiveArrayCritical(input, NULL)) : env->GetDoubleArrayElements(input,NULL) )
// -------------------------------------------------------------------
// From: https://developer.android.com/training/articles/perf-jni.html
// 0
// Actual: the array object is un-pinned.
// Copy: data is copied back. The buffer with the copy is freed.
// JNI_ABORT
// Actual: the array object is un-pinned. Earlier writes are not aborted.
// Copy: the buffer with the copy is freed; any changes to it are lost.
#define RELEASE_INPUT_DOUBLE_ARRAY(env, input, inputPtr, numThreads) \
env->ReleasePrimitiveArrayCritical(input, inputPtr, JNI_ABORT)
// ( maxThreads != -1 && ((int)numThreads) == maxThreads ? env->ReleasePrimitiveArrayCritical(input, inputPtr, JNI_ABORT) : env->ReleaseDoubleArrayElements(input, inputPtr, JNI_ABORT) )
#define RELEASE_DOUBLE_ARRAY(env, input, inputPtr, numThreads) \
env->ReleasePrimitiveArrayCritical(input, inputPtr, 0)
// ( maxThreads != -1 && ((int)numThreads) == maxThreads ? env->ReleasePrimitiveArrayCritical(input, inputPtr, 0) : env->ReleaseDoubleArrayElements(input, inputPtr, 0) )
// -------------------------------------------------------------------
int maxThreads = -1;
JNIEXPORT void JNICALL Java_org_apache_sysml_utils_NativeHelper_setMaxNumThreads
(JNIEnv *, jclass, jint jmaxThreads) {
maxThreads = (int) jmaxThreads;
}
JNIEXPORT jboolean JNICALL Java_org_apache_sysml_utils_NativeHelper_matrixMultDenseDense(
JNIEnv* env, jclass cls, jdoubleArray m1, jdoubleArray m2, jdoubleArray ret,
jint m1rlen, jint m1clen, jint m2clen, jint numThreads) {
double* m1Ptr = GET_DOUBLE_ARRAY(env, m1, numThreads);
double* m2Ptr = GET_DOUBLE_ARRAY(env, m2, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(m1Ptr == NULL || m2Ptr == NULL || retPtr == NULL)
return (jboolean) false;
matmult(m1Ptr, m2Ptr, retPtr, (int)m1rlen, (int)m1clen, (int)m2clen, (int)numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, m1, m1Ptr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, m2, m2Ptr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jboolean) true;
}
JNIEXPORT jboolean JNICALL Java_org_apache_sysml_utils_NativeHelper_tsmm
(JNIEnv * env, jclass cls, jdoubleArray m1, jdoubleArray ret, jint m1rlen, jint m1clen, jboolean isLeftTranspose, jint numThreads) {
double* m1Ptr = GET_DOUBLE_ARRAY(env, m1, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(m1Ptr == NULL || retPtr == NULL)
return (jboolean) false;
tsmm(m1Ptr, retPtr, (int) m1rlen, (int) m1clen, (bool) isLeftTranspose, (int) numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, m1, m1Ptr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jboolean) true;
}
JNIEXPORT jboolean JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dSparse
(JNIEnv * env, jclass, jint apos, jint alen, jintArray aix, jdoubleArray avals, jdoubleArray filter,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
int* aixPtr = ((int*)env->GetPrimitiveArrayCritical(aix, NULL));
double* avalsPtr = GET_DOUBLE_ARRAY(env, avals, numThreads);
double* filterPtr = GET_DOUBLE_ARRAY(env, filter, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
conv2dSparse((int)apos, (int)alen, aixPtr, avalsPtr, filterPtr, retPtr, (int)N, (int)C, (int)H, (int)W,
(int)K, (int)R, (int)S, (int)stride_h, (int)stride_w, (int)pad_h, (int)pad_w, (int)P, (int)Q, (int)numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, avals, avalsPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, filter, filterPtr, numThreads);
env->ReleasePrimitiveArrayCritical(aix, aixPtr, JNI_ABORT);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jboolean) true;
}
JNIEXPORT jboolean JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dBackwardFilterSparseDense
(JNIEnv * env, jclass, jint apos, jint alen, jintArray aix, jdoubleArray avals, jdoubleArray dout,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
int* aixPtr = ((int*)env->GetPrimitiveArrayCritical(aix, NULL));
double* avalsPtr = GET_DOUBLE_ARRAY(env, avals, numThreads);
double* doutPtr = GET_DOUBLE_ARRAY(env, dout, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
conv2dBackwardFilterSparseDense((int)apos, (int)alen, aixPtr, avalsPtr, doutPtr, retPtr, (int)N, (int)C, (int)H, (int)W,
(int)K, (int)R, (int)S, (int)stride_h, (int)stride_w, (int)pad_h, (int)pad_w, (int)P, (int)Q, (int)numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, avals, avalsPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, dout, doutPtr, numThreads);
env->ReleasePrimitiveArrayCritical(aix, aixPtr, JNI_ABORT);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jboolean) true;
}
JNIEXPORT jint JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dDense(
JNIEnv* env, jclass, jdoubleArray input, jdoubleArray filter,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
double* inputPtr = GET_DOUBLE_ARRAY(env, input, numThreads);
double* filterPtr = GET_DOUBLE_ARRAY(env, filter, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(inputPtr == NULL || filterPtr == NULL || retPtr == NULL)
return (jint) -1;
int nnz = conv2dBiasAddDense(inputPtr, 0, filterPtr, retPtr, (int) N, (int) C, (int) H, (int) W, (int) K, (int) R, (int) S,
(int) stride_h, (int) stride_w, (int) pad_h, (int) pad_w, (int) P, (int) Q, false, (int) numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, input, inputPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, filter, filterPtr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jint) nnz;
}
JNIEXPORT jint JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dBiasAddDense(
JNIEnv* env, jclass, jdoubleArray input, jdoubleArray bias, jdoubleArray filter,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
double* inputPtr = GET_DOUBLE_ARRAY(env, input, numThreads);
double* biasPtr = GET_DOUBLE_ARRAY(env, bias, numThreads);
double* filterPtr = GET_DOUBLE_ARRAY(env, filter, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(inputPtr == NULL || biasPtr == NULL || filterPtr == NULL || retPtr == NULL)
return (jint) -1;
int nnz = conv2dBiasAddDense(inputPtr, biasPtr, filterPtr, retPtr, (int) N, (int) C, (int) H, (int) W, (int) K, (int) R, (int) S,
(int) stride_h, (int) stride_w, (int) pad_h, (int) pad_w, (int) P, (int) Q, true, (int) numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, input, inputPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, bias, biasPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, filter, filterPtr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jint) nnz;
}
JNIEXPORT jint JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dBackwardDataDense(
JNIEnv* env, jclass, jdoubleArray filter, jdoubleArray dout,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
double* filterPtr = GET_DOUBLE_ARRAY(env, filter, numThreads);
double* doutPtr = GET_DOUBLE_ARRAY(env, dout, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(doutPtr == NULL || filterPtr == NULL || retPtr == NULL)
return (jint) -1;
int nnz = conv2dBackwardDataDense(filterPtr, doutPtr, retPtr, (int) N, (int) C, (int) H, (int) W, (int) K, (int) R, (int) S,
(int) stride_h, (int) stride_w, (int) pad_h, (int) pad_w, (int) P, (int) Q, (int) numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, filter, filterPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, dout, doutPtr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jint) nnz;
}
JNIEXPORT jint JNICALL Java_org_apache_sysml_utils_NativeHelper_conv2dBackwardFilterDense(
JNIEnv* env, jclass, jdoubleArray input, jdoubleArray dout,
jdoubleArray ret, jint N, jint C, jint H, jint W, jint K, jint R, jint S,
jint stride_h, jint stride_w, jint pad_h, jint pad_w, jint P, jint Q, jint numThreads) {
double* inputPtr = GET_DOUBLE_ARRAY(env, input, numThreads);
double* doutPtr = GET_DOUBLE_ARRAY(env, dout, numThreads);
double* retPtr = GET_DOUBLE_ARRAY(env, ret, numThreads);
if(doutPtr == NULL || inputPtr == NULL || retPtr == NULL)
return (jint) -1;
int nnz = conv2dBackwardFilterDense(inputPtr, doutPtr, retPtr, (int) N, (int) C, (int) H, (int) W, (int) K, (int) R, (int) S,
(int) stride_h, (int) stride_w, (int) pad_h, (int) pad_w, (int) P, (int) Q, (int) numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, input, inputPtr, numThreads);
RELEASE_INPUT_DOUBLE_ARRAY(env, dout, doutPtr, numThreads);
RELEASE_DOUBLE_ARRAY(env, ret, retPtr, numThreads);
return (jint) nnz;
}