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java cuda compilation fix 

Signed-off-by: raver119 <raver119@gmail.com>
master
raver119 2019-08-07 21:36:27 +03:00
parent 55066d9c41
commit 62a025439b
4 changed files with 29 additions and 15 deletions
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2
libnd4j/blas/CMakeLists.txt
View File

@ -168,7 +168,7 @@ if(CUDA_BLAS)
list(APPEND CUDA_NVCC_FLAGS -DCUDA_10 ${EXPM} -w --cudart=static -O3 --expt-extended-lambda -gencode arch=compute_35,code=sm_35 -gencode arch=compute_52,code=sm_52 -gencode arch=compute_60,code=sm_60 -gencode arch=compute_70,code=sm_70)
endif()
else()
list(APPEND CUDA_NVCC_FLAGS -DCUDA_10 ${EXPM} -w --cudart=static --expt-extended-lambda -O3 -arch=compute_${COMPUTE} -code=sm_${COMPUTE})
list(APPEND CUDA_NVCC_FLAGS -DCUDA_10 ${EXPM} -w --cudart=static --expt-extended-lambda -O3 -Xfatbin -compress-all -arch=compute_${COMPUTE} -code=sm_${COMPUTE})
endif()
elseif(CUDA_VERSION VERSION_GREATER "8.0") # cuda 9
if ("${COMPUTE}" STREQUAL "all")

20
nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/linalg/jcublas/JCublasNDArrayFactory.java
View File

@ -280,27 +280,27 @@ public class JCublasNDArrayFactory extends BaseNativeNDArrayFactory {
@Override
public INDArray create(long[] data, long[] shape, long[] stride, char order, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, order, dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, order, dataType);
}
@Override
public INDArray create(int[] data, long[] shape, long[] stride, char order, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, order, dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, order, dataType);
}
@Override
public INDArray create(short[] data, long[] shape, long[] stride, char order, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, order, dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, order, dataType);
}
@Override
public INDArray create(byte[] data, long[] shape, long[] stride, char order, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, order, dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, order, dataType);
}
@Override
public INDArray create(boolean[] data, long[] shape, long[] stride, char order, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, order, dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, order, dataType);
}
@Override
@ -1593,27 +1593,27 @@ public class JCublasNDArrayFactory extends BaseNativeNDArrayFactory {
@Override
public INDArray create(long[] data, long[] shape, long[] stride, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, Nd4j.order(), dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, Nd4j.order(), dataType);
}
@Override
public INDArray create(int[] data, long[] shape, long[] stride, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, Nd4j.order(), dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, Nd4j.order(), dataType);
}
@Override
public INDArray create(short[] data, long[] shape, long[] stride, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, Nd4j.order(), dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, Nd4j.order(), dataType);
}
@Override
public INDArray create(byte[] data, long[] shape, long[] stride, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, Nd4j.order(), dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, Nd4j.order(), dataType);
}
@Override
public INDArray create(boolean[] data, long[] shape, long[] stride, DataType dataType, MemoryWorkspace workspace) {
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType, workspace), shape, stride, Nd4j.order(), dataType);
return new JCublasNDArray(Nd4j.createTypedBuffer(data, dataType), shape, stride, Nd4j.order(), dataType);
}
@Override

11
nd4j/nd4j-backends/nd4j-backend-impls/nd4j-cuda/src/main/java/org/nd4j/nativeblas/Nd4jCuda.java
View File

@ -3814,9 +3814,12 @@ public native @Cast("char*") String runFullBenchmarkSuit(@Cast("bool") boolean p
public native void syncToDevice();
public native void syncShape();
// #ifndef __JAVACPP_HACK__
/**
* This method can be used on architectures that use special buffers
* @param writeList
* @param readList
*/
// #endif
/**
* This method returns buffer pointer offset by given number of elements, wrt own data type
@ -5107,12 +5110,16 @@ NDArray& NDArray::operator()(const Nd4jLong* idx) {
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
// #ifndef __JAVACPP_HACK__
// #endif

11
nd4j/nd4j-backends/nd4j-backend-impls/nd4j-native/src/main/java/org/nd4j/nativeblas/Nd4jCpu.java
View File

@ -3814,9 +3814,12 @@ public native @Cast("char*") String runFullBenchmarkSuit(@Cast("bool") boolean p
public native void syncToDevice();
public native void syncShape();
// #ifndef __JAVACPP_HACK__
/**
* This method can be used on architectures that use special buffers
* @param writeList
* @param readList
*/
// #endif
/**
* This method returns buffer pointer offset by given number of elements, wrt own data type
@ -5107,12 +5110,16 @@ NDArray& NDArray::operator()(const Nd4jLong* idx) {
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
////////////////////////////////////////////////////////////////////////
// #ifndef __JAVACPP_HACK__
// #endif