[WIP] More fixes (#73)

* special tests for ConstantTadHelper/ConstantShapeHelper

Signed-off-by: raver119 <raver119@gmail.com>

* release methods for data buffers

Signed-off-by: raver119 <raver119@gmail.com>

* delete temporary buffer Java side

Signed-off-by: raver119 <raver119@gmail.com>

* delete temporary buffer Java side

Signed-off-by: raver119 <raver119@gmail.com>
master
raver119 2019-07-22 14:00:24 +03:00 committed by AlexDBlack
parent ce9c372974
commit 59a006ce29
14 changed files with 573 additions and 453 deletions

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@ -1699,6 +1699,7 @@ public:
nd4j::ConstantDataBuffer* constantBuffer(nd4j::DataType dtype, double *data, int length);
nd4j::ConstantDataBuffer* constantBuffer(nd4j::DataType dtype, nd4j::ConstantDescriptor *descriptor);
void deleteShapeBuffer(Nd4jPointer ptr);
const char* runLightBenchmarkSuit(bool printOut);
const char* runFullBenchmarkSuit(bool printOut);

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@ -2700,6 +2700,11 @@ nd4j::ConstantDataBuffer* NativeOps::shapeBuffer(int rank, Nd4jLong *shape, Nd4j
return buffer;
}
void NativeOps::deleteShapeBuffer(Nd4jPointer ptr) {
auto buffer = reinterpret_cast<nd4j::ConstantDataBuffer*>(ptr);
delete buffer;
}
nd4j::ConstantDataBuffer* NativeOps::constantBuffer(nd4j::DataType dtype, Nd4jLong *data, int length) {
return nullptr;
}

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@ -3241,6 +3241,11 @@ nd4j::ConstantDataBuffer* NativeOps::shapeBuffer(int rank, Nd4jLong *shape, Nd4j
return buffer;
}
void NativeOps::deleteShapeBuffer(Nd4jPointer ptr) {
auto buffer = reinterpret_cast<nd4j::ConstantDataBuffer*>(ptr);
delete buffer;
}
nd4j::ConstantDataBuffer* NativeOps::constantBuffer(nd4j::DataType dtype, Nd4jLong *data, int length) {
return nd4j::ConstantHelper::getInstance()->constantBuffer(ConstantDescriptor(data, length), dtype);
}

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@ -29,6 +29,7 @@
#include <ShapeDescriptor.h>
#include <array/ConstantDataBuffer.h>
#include <memory/Workspace.h>
#include <op_boilerplate.h>
namespace nd4j {
@ -64,6 +65,31 @@ namespace nd4j {
Nd4jLong* createFromExisting(Nd4jLong *shapeInfo, bool destroyOriginal = true);
bool checkBufferExistenceForShapeInfo(ShapeDescriptor &descriptor);
/**
* This method returns number of cached TAD shapes/offsets on specific device
* @return
*/
FORCEINLINE int cachedEntriesForDevice(int deviceId) {
if (deviceId > _cache.size())
throw std::runtime_error("deviceId > number of actual devices");
return _cache[deviceId].size();
}
/**
* This method returns total number of cached TAD shapes/offsets on all devices
* @return
*/
FORCEINLINE int totalCachedEntries() {
int total = 0;
for (int e = 0; e < _cache.size(); e++)
total += _cache[e].size();
return total;
}
};
}

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@ -23,6 +23,7 @@
#define DEV_TESTS_CONSTANTTADHELPER_H
#include <dll.h>
#include <op_boilerplate.h>
#include <pointercast.h>
#include <map>
#include <vector>
@ -45,11 +46,43 @@ namespace nd4j {
static ConstantTadHelper* getInstance();
/**
* These methods calculate Tensor-Along-Dimension(s) shape and offsets
*
* @param originalShape
* @param dimensions
* @param keepUnitiesInShape
* @return
*/
TadPack& tadForDimensions(const Nd4jLong *originalShape, const std::vector<int> &dimensions, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(const Nd4jLong *originalShape, int* dimensions, int dimLength, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(const Nd4jLong *originalShape, int dimensions, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(ShapeDescriptor &descriptor, std::vector<int> &dimensions, const bool keepUnitiesInShape = false);
TadPack& tadForDimensions(TadDescriptor &descriptor);
/**
* This method returns number of cached TAD shapes/offsets on specific device
* @return
*/
FORCEINLINE int cachedEntriesForDevice(int deviceId) {
if (deviceId > _cache.size())
throw std::runtime_error("deviceId > number of actual devices");
return _cache[deviceId].size();
}
/**
* This method returns total number of cached TAD shapes/offsets on all devices
* @return
*/
FORCEINLINE int totalCachedEntries() {
int total = 0;
for (int e = 0; e < _cache.size(); e++)
total += _cache[e].size();
return total;
}
};
}

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@ -39,6 +39,42 @@ public:
};
class ConstantTadHelperTests : public testing::Test {
public:
};
TEST_F(ConstantShapeHelperTests, test_cachedAmount_1) {
auto ttlBefore = ConstantShapeHelper::getInstance()->totalCachedEntries();
auto arrayA = NDArrayFactory::create<bool>('c', {7, 11, 17, 23, 31, 43});
auto ttlMiddle = ConstantShapeHelper::getInstance()->totalCachedEntries();
auto arrayB = NDArrayFactory::create<bool>('c', {7, 11, 17, 23, 31, 43});
auto ttlAfter = ConstantShapeHelper::getInstance()->totalCachedEntries();
ASSERT_TRUE(ttlBefore <= ttlMiddle);
ASSERT_EQ(ttlMiddle, ttlAfter);
}
TEST_F(ConstantTadHelperTests, test_cachedAmount_1) {
auto arrayA = NDArrayFactory::create<bool>('c', {7, 11, 17, 23, 31, 43});
auto ttlBefore = ConstantTadHelper::getInstance()->totalCachedEntries();
auto packAA = ConstantTadHelper::getInstance()->tadForDimensions(arrayA.shapeInfo(), {3, 4});
auto ttlMiddle = ConstantTadHelper::getInstance()->totalCachedEntries();
auto packAB = ConstantTadHelper::getInstance()->tadForDimensions(arrayA.shapeInfo(), {3, 4});
auto ttlAfter = ConstantTadHelper::getInstance()->totalCachedEntries();
ASSERT_TRUE(ttlBefore <= ttlMiddle);
ASSERT_EQ(ttlMiddle, ttlAfter);
}
TEST_F(ConstantShapeHelperTests, basic_test_1) {
auto ptr = ShapeBuilders::createShapeInfo(nd4j::DataType::BFLOAT16, 'f', {5, 10, 15});
ShapeDescriptor descriptor(ptr);

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@ -1120,6 +1120,8 @@ public abstract class NativeOps extends Pointer {
// GraphState creation
public abstract Pointer getGraphState(long id);
public abstract void deleteShapeBuffer(Pointer state);
public abstract void deleteGraphState(Pointer state);
public abstract int estimateThreshold(PointerPointer extraPointers, Pointer x, LongPointer xShapeInfo, int N, float threshold);

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@ -2586,7 +2586,11 @@ public class CudaExecutioner extends DefaultOpExecutioner {
public DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, boolean empty) {
val dbf = (Nd4jCuda.ConstantDataBuffer) nativeOps.shapeBuffer(shape.length, new LongPointer(shape), new LongPointer(stride), dtype.toInt(), order, elementWiseStride, empty);
return new CudaLongDataBuffer(dbf.primary(), dbf.special(), Shape.shapeInfoLength(shape.length));
val result = new CudaLongDataBuffer(dbf.primary(), dbf.special(), Shape.shapeInfoLength(shape.length));
nativeOps.deleteShapeBuffer(dbf);
return result;
}
@Override

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@ -3047,6 +3047,7 @@ public static class NativeOps extends org.nd4j.nativeblas.NativeOps {
public native ConstantDataBuffer constantBuffer(@Cast("nd4j::DataType") int dtype, double[] data, int length);
public native ConstantDataBuffer constantBuffer(@Cast("nd4j::DataType") int dtype, ConstantDescriptor descriptor);
public native void deleteShapeBuffer(@Cast("Nd4jPointer") Pointer ptr);
public native @Cast("char*") String runLightBenchmarkSuit(@Cast("bool") boolean printOut);
public native @Cast("char*") String runFullBenchmarkSuit(@Cast("bool") boolean printOut);
@ -3698,18 +3699,18 @@ public static class NativeOps extends org.nd4j.nativeblas.NativeOps {
private native void allocate(byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @StdVector double[] data);
/**
* this constructor creates new array using given buffer (without memory allocating) and shape information stored in shape
* this constructor creates new array using given buffer (without memory allocation) and shape information stored in shape
*/
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype);
@ -8034,9 +8035,10 @@ public static final int PREALLOC_SIZE = 33554432;
@Namespace("shape") public static native int outerArrayIndexes(@Cast("Nd4jLong*") long[] maxIdxs, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") long[] maxShapeInfo, @Cast("const Nd4jLong*") long[] minShapeInfo, @Const int[] dimsToExclude/*=nullptr*/);
@Namespace("shape") public static native int outerArrayIndexes(@Cast("Nd4jLong*") long[] maxIdxs, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") long[] maxShapeInfo, @Cast("const Nd4jLong*") long[] minShapeInfo);
// calculate offsets of max-array, these output offsets correspond to one minIdx index of min-array which is sub-array of max-array
// calculate offsets of max-array, these offsets correspond to one minIdx index of min-array which is sub-array of max-array
// maxOffsets - will contain calculated offsets of max-array, buffer for maxOffsets should be allocated beforehand
// dimsToExclude - should be sorted in increasing order
// memBuff - auxiliary memory buffer (size = 2 * max_rank) for coordinates and increments storing, should be passed from outside
// memBuff - auxiliary memory buffer (size = 2 * max_rank) for coordinates and increments storing, should be allocated beforehand
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongPointer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongPointer maxShapeInfo, @Cast("const Nd4jLong*") LongPointer minShapeInfo, @Cast("Nd4jLong*") LongPointer memBuff, @Const IntPointer dimsToExclude/*=nullptr*/);
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongPointer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongPointer maxShapeInfo, @Cast("const Nd4jLong*") LongPointer minShapeInfo, @Cast("Nd4jLong*") LongPointer memBuff);
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongBuffer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongBuffer maxShapeInfo, @Cast("const Nd4jLong*") LongBuffer minShapeInfo, @Cast("Nd4jLong*") LongBuffer memBuff, @Const IntBuffer dimsToExclude/*=nullptr*/);
@ -8946,6 +8948,7 @@ public static final int PREALLOC_SIZE = 33554432;
// #endif /* SHAPE_H_ */
// Parsed from array/ShapeList.h
/*******************************************************************************

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@ -2162,7 +2162,11 @@ public class NativeOpExecutioner extends DefaultOpExecutioner {
public DataBuffer createShapeInfo(long[] shape, long[] stride, long elementWiseStride, char order, DataType dtype, boolean empty) {
val dbf = (Nd4jCpu.ConstantDataBuffer) loop.shapeBuffer(shape.length, new LongPointer(shape), new LongPointer(stride), dtype.toInt(), order, elementWiseStride, empty);
return new LongBuffer(dbf.primary(), Shape.shapeInfoLength(shape.length));
val result = new LongBuffer(dbf.primary(), Shape.shapeInfoLength(shape.length));
loop.deleteShapeBuffer(dbf);
return result;
}
@Override

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@ -3047,6 +3047,7 @@ public static class NativeOps extends org.nd4j.nativeblas.NativeOps {
public native ConstantDataBuffer constantBuffer(@Cast("nd4j::DataType") int dtype, double[] data, int length);
public native ConstantDataBuffer constantBuffer(@Cast("nd4j::DataType") int dtype, ConstantDescriptor descriptor);
public native void deleteShapeBuffer(@Cast("Nd4jPointer") Pointer ptr);
public native @Cast("char*") String runLightBenchmarkSuit(@Cast("bool") boolean printOut);
public native @Cast("char*") String runFullBenchmarkSuit(@Cast("bool") boolean printOut);
@ -3698,18 +3699,18 @@ public static class NativeOps extends org.nd4j.nativeblas.NativeOps {
private native void allocate(byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @StdVector double[] data);
/**
* this constructor creates new array using given buffer (without memory allocating) and shape information stored in shape
* this constructor creates new array using given buffer (without memory allocation) and shape information stored in shape
*/
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongPointer shape, @Cast("nd4j::DataType") int dtype);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector LongBuffer shape, @Cast("nd4j::DataType") int dtype);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/) { super((Pointer)null); allocate(buffer, order, shape, dtype, context, isBuffAlloc); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype, LaunchContext context/*=nd4j::LaunchContext::defaultContext()*/, @Cast("const bool") boolean isBuffAlloc/*=false*/);
public NDArray(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype) { super((Pointer)null); allocate(buffer, order, shape, dtype); }
private native void allocate(Pointer buffer, byte order, @Cast("Nd4jLong*") @StdVector long[] shape, @Cast("nd4j::DataType") int dtype);
@ -8034,9 +8035,10 @@ public static final int PREALLOC_SIZE = 33554432;
@Namespace("shape") public static native int outerArrayIndexes(@Cast("Nd4jLong*") long[] maxIdxs, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") long[] maxShapeInfo, @Cast("const Nd4jLong*") long[] minShapeInfo, @Const int[] dimsToExclude/*=nullptr*/);
@Namespace("shape") public static native int outerArrayIndexes(@Cast("Nd4jLong*") long[] maxIdxs, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") long[] maxShapeInfo, @Cast("const Nd4jLong*") long[] minShapeInfo);
// calculate offsets of max-array, these output offsets correspond to one minIdx index of min-array which is sub-array of max-array
// calculate offsets of max-array, these offsets correspond to one minIdx index of min-array which is sub-array of max-array
// maxOffsets - will contain calculated offsets of max-array, buffer for maxOffsets should be allocated beforehand
// dimsToExclude - should be sorted in increasing order
// memBuff - auxiliary memory buffer (size = 2 * max_rank) for coordinates and increments storing, should be passed from outside
// memBuff - auxiliary memory buffer (size = 2 * max_rank) for coordinates and increments storing, should be allocated beforehand
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongPointer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongPointer maxShapeInfo, @Cast("const Nd4jLong*") LongPointer minShapeInfo, @Cast("Nd4jLong*") LongPointer memBuff, @Const IntPointer dimsToExclude/*=nullptr*/);
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongPointer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongPointer maxShapeInfo, @Cast("const Nd4jLong*") LongPointer minShapeInfo, @Cast("Nd4jLong*") LongPointer memBuff);
@Namespace("shape") public static native int outerArrayOffsets(@Cast("Nd4jLong*") LongBuffer maxOffsets, @Cast("const Nd4jLong") long minIdx, @Cast("const Nd4jLong*") LongBuffer maxShapeInfo, @Cast("const Nd4jLong*") LongBuffer minShapeInfo, @Cast("Nd4jLong*") LongBuffer memBuff, @Const IntBuffer dimsToExclude/*=nullptr*/);
@ -8946,6 +8948,7 @@ public static final int PREALLOC_SIZE = 33554432;
// #endif /* SHAPE_H_ */
// Parsed from helpers/OpArgsHolder.h
/*******************************************************************************
@ -15715,8 +15718,8 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
* Input arrays:
* 0: input with shape [batchSize x inSize], batchSize - batch size, inSize - number of features
* 1: previous cell output [batchSize x numUnits], that is at previous time step t-1
* 2: RU weights - [(nIn+nOut), 2*numUnits] - reset and update gates (input/recurrent weights)
* 3: C weights - [(nIn+nOut), numUnits] - cell gate (input/recurrent weights)
* 2: RU weights - [(inSize+numUnits), 2*numUnits] - reset and update gates (input/recurrent weights)
* 3: C weights - [(inSize+numUnits), numUnits] - cell gate (input/recurrent weights)
* 4: reset and update biases, [2*numUnits] - reset and update gates
* 5: cell biases, [numUnits]
*
@ -18005,14 +18008,13 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
/**
* This operation adjusts image hue by delta
* Input arrays:
* 0 - 1D or 3D input array, must have 3 channels.
* 1 - optional scalar, delta value
* 0 - input array with rank >= 3, must have at least one dimension equal 3, that is dimension containing channels.
*
* T arguments:
* 0 - optional delta value
* 0 - delta value
*
* Int arguments:
* 0 - optional argument, isNHWC. false by default.
* 0 - optional argument, corresponds to dimension with 3 channels
*/
// #if NOT_EXCLUDED(OP_adjust_hue)
@Namespace("nd4j::ops") public static class adjust_hue extends DeclarableOp {
@ -18035,14 +18037,13 @@ public static final int TAD_THRESHOLD = TAD_THRESHOLD();
/**
* This operation adjusts image saturation by delta
* Input arrays:
* 0 - 1D or 3D input array, must have 3 channels.
* 1 - optional scalar, delta value
* 0 - input array with rank >= 3, must have at least one dimension equal 3, that is dimension containing channels.
*
* T arguments:
* 0 - optional delta value
* 0 - saturation factor
*
* Int arguments:
* 0 - optional argument, isNHWC. false by default.
* 0 - optional argument, corresponds to dimension with 3 channels
*/
// #if NOT_EXCLUDED(OP_adjust_saturation)
@Namespace("nd4j::ops") public static class adjust_saturation extends DeclarableOp {