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Merge pull request #8700 from KonduitAI/master 

Update master
master
Alex Black 2020-02-12 21:20:45 +11:00 committed by GitHub
parent 77401c7d33 b941186302
commit 17e77f4c32
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GPG Key ID: 4AEE18F83AFDEB23
142 changed files with 4482 additions and 181 deletions
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11
datavec/datavec-python/src/main/java/org/datavec/python/Python.java
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@ -144,6 +144,14 @@ public class Python {
return attr("bytearray");
}
public static PythonObject memoryview(PythonObject pythonObject) {
return attr("memoryview").call(pythonObject);
}
public static PythonObject memoryviewType() {
return attr("memoryview");
}
public static PythonObject bytes(PythonObject pythonObject) {
return attr("bytes").call(pythonObject);
}
@ -250,9 +258,6 @@ public class Python {
public static void exec(String code)throws PythonException{
PythonExecutioner.exec(code);
}
public static void exec(String code, PythonVariables inputs) throws PythonException{
PythonExecutioner.exec(code, inputs);
}
public static void exec(String code, PythonVariables inputs, PythonVariables outputs) throws PythonException{
PythonExecutioner.exec(code, inputs, outputs);
}

19
datavec/datavec-python/src/main/java/org/datavec/python/PythonExecutioner.java
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@ -20,23 +20,16 @@ package org.datavec.python;
import lombok.extern.slf4j.Slf4j;
import org.apache.commons.io.IOUtils;
import org.bytedeco.cpython.PyThreadState;
import org.bytedeco.javacpp.BytePointer;
import org.bytedeco.numpy.global.numpy;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.io.ClassPathResource;
import java.io.File;
import java.io.IOException;
import java.io.InputStream;
import java.nio.ByteBuffer;
import java.nio.charset.Charset;
import java.util.Arrays;
import java.util.Map;
import java.util.concurrent.atomic.AtomicBoolean;
import static org.bytedeco.cpython.global.python.*;
import static org.bytedeco.cpython.global.python.PyThreadState_Get;
import static org.datavec.python.Python.*;
/**
@ -105,6 +98,7 @@ public class PythonExecutioner {
init();
}
private static synchronized void init() {
if (init.get()) {
return;
@ -204,6 +198,9 @@ public class PythonExecutioner {
}
public static void getVariables(PythonVariables pyVars) throws PythonException {
if (pyVars == null){
return;
}
for (String varName : pyVars.getVariables()) {
pyVars.setValue(varName, getVariable(varName, pyVars.getType(varName)));
}
@ -240,12 +237,6 @@ public class PythonExecutioner {
throwIfExecutionFailed();
}
public static void exec(String code, PythonVariables outputVariables)throws PythonException {
simpleExec(getWrappedCode(code));
throwIfExecutionFailed();
getVariables(outputVariables);
}
public static void exec(String code, PythonVariables inputVariables, PythonVariables outputVariables) throws PythonException {
setVariables(inputVariables);
simpleExec(getWrappedCode(code));
@ -354,7 +345,6 @@ public class PythonExecutioner {
log.info("Setting python path " + path);
StringBuffer sb = new StringBuffer();
File[] packages = numpy.cachePackages();
JavaCppPathType pathAppendValue = JavaCppPathType.valueOf(System.getProperty(JAVACPP_PYTHON_APPEND_TYPE, DEFAULT_APPEND_TYPE).toUpperCase());
switch (pathAppendValue) {
case BEFORE:
@ -395,4 +385,5 @@ public class PythonExecutioner {
throw new IllegalStateException("Unable to reset python path. Already initialized.");
}
}
}

41
datavec/datavec-python/src/main/java/org/datavec/python/PythonObject.java
View File

@ -69,7 +69,11 @@ public class PythonObject {
}
public PythonObject(BytePointer bp){
nativePythonObject = PyByteArray_FromStringAndSize(bp, bp.capacity());
long address = bp.address();
long size = bp.capacity();
NumpyArray npArr = NumpyArray.builder().address(address).shape(new long[]{size}).strides(new long[]{1}).dtype(DataType.BYTE).build();
nativePythonObject = Python.memoryview(new PythonObject(npArr)).nativePythonObject;
}
public PythonObject(NumpyArray npArray) {
@ -343,13 +347,28 @@ public class PythonObject {
dtype = DataType.DOUBLE;
} else if (dtypeName.equals("float32")) {
dtype = DataType.FLOAT;
} else if (dtypeName.equals("int8")){
dtype = DataType.INT8;
}else if (dtypeName.equals("int16")) {
dtype = DataType.SHORT;
} else if (dtypeName.equals("int32")) {
dtype = DataType.INT;
} else if (dtypeName.equals("int64")) {
dtype = DataType.LONG;
} else {
}
else if (dtypeName.equals("uint8")){
dtype = DataType.UINT8;
}
else if (dtypeName.equals("uint16")){
dtype = DataType.UINT16;
}
else if (dtypeName.equals("uint32")){
dtype = DataType.UINT32;
}
else if (dtypeName.equals("uint64")){
dtype = DataType.UINT64;
}
else {
throw new RuntimeException("Unsupported array type " + dtypeName + ".");
}
return new NumpyArray(address, jshape, jstrides, dtype);
@ -518,6 +537,22 @@ public class PythonObject {
else if (Python.isinstance(this, Python.bytearrayType())){
return PyByteArray_AsString(nativePythonObject);
}
else if (Python.isinstance(this, Python.memoryviewType())){
// PyObject np = PyImport_ImportModule("numpy");
// PyObject array = PyObject_GetAttrString(np, "asarray");
// PyObject npArr = PyObject_CallObject(array, nativePythonObject); // Doesn't work
// Invoke interpreter:
String tempContext = "temp" + UUID.randomUUID().toString().replace('-', '_');
String originalContext = Python.getCurrentContext();
Python.setContext(tempContext);
PythonExecutioner.setVariable("memview", this);
PythonExecutioner.exec("import numpy as np\narr = np.array(memview)");
BytePointer ret = new BytePointer(PythonExecutioner.getVariable("arr").toNumpy().getNd4jArray().data().pointer());
Python.setContext(originalContext);
Python.deleteContext(tempContext);
return ret;
}
else{
PyObject ctypes = PyImport_ImportModule("ctypes");
PyObject cArrType = PyObject_GetAttrString(ctypes, "Array");
@ -542,7 +577,7 @@ public class PythonObject {
return new BytePointer(ptr);
}
else{
throw new PythonException("Expected bytes, bytearray or ctypesArray. Received " + Python.type(this).toString());
throw new PythonException("Expected bytes, bytearray, memoryview or ctypesArray. Received " + Python.type(this).toString());
}
}

2
datavec/datavec-python/src/main/java/org/datavec/python/PythonType.java
View File

@ -36,7 +36,7 @@ public abstract class PythonType<T> {
public abstract T toJava(PythonObject pythonObject) throws PythonException;
private final TypeName typeName;
enum TypeName{
public enum TypeName{
STR,
INT,
FLOAT,

23
datavec/datavec-python/src/test/java/org/datavec/python/TestPythonExecutioner.java
View File

@ -24,6 +24,7 @@ import org.nd4j.linalg.api.buffer.DataType;
import org.nd4j.linalg.api.ndarray.INDArray;
import org.nd4j.linalg.factory.Nd4j;
import static org.junit.Assert.assertEquals;
import static org.junit.Assert.fail;
@ -237,12 +238,13 @@ public class TestPythonExecutioner {
PythonVariables pyOutputs= new PythonVariables();
pyOutputs.addStr("out");
String code = "out = buff.decode()";
String code = "out = bytes(buff).decode()";
Python.exec(code, pyInputs, pyOutputs);
Assert.assertEquals("abc", pyOutputs.getStrValue("out"));
}
@Test
public void testByteBufferOutputNoCopy() throws Exception{
INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE);
@ -262,6 +264,24 @@ public class TestPythonExecutioner {
Assert.assertEquals("cba", pyOutputs.getBytesValue("buff").getString());
}
@Test
public void testByteBufferInplace() throws Exception{
INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE);
buff.putScalar(0, 97); // a
buff.putScalar(1, 98); // b
buff.putScalar(2, 99); // c
PythonVariables pyInputs = new PythonVariables();
pyInputs.addBytes("buff", new BytePointer(buff.data().pointer()));
String code = "buff[0]+=2\nbuff[2]-=2";
Python.exec(code, pyInputs, null);
Assert.assertEquals("cba", pyInputs.getBytesValue("buff").getString());
INDArray expected = buff.dup();
expected.putScalar(0, 99);
expected.putScalar(2, 97);
Assert.assertEquals(buff, expected);
}
@Test
public void testByteBufferOutputWithCopy() throws Exception{
INDArray buff = Nd4j.zeros(new int[]{3}, DataType.BYTE);
@ -302,4 +322,5 @@ public class TestPythonExecutioner {
Python.setMainContext();
}
}

2
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/main/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizer.java
View File

@ -29,7 +29,7 @@ import java.util.regex.Pattern;
*/
@Slf4j
public class BertWordPieceTokenizer implements Tokenizer {
public static final Pattern splitPattern = Pattern.compile("(\\p{javaWhitespace}|((?<=\\p{Punct})|(?=\\p{Punct})))+");
public static final Pattern splitPattern = Pattern.compile("\\p{javaWhitespace}+|((?<=\\p{Punct})+|(?=\\p{Punct}+))");
private final List<String> tokens;
private final TokenPreProcess preTokenizePreProcessor;

19
deeplearning4j/deeplearning4j-nlp-parent/deeplearning4j-nlp/src/test/java/org/deeplearning4j/text/tokenization/tokenizer/BertWordPieceTokenizerTests.java
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@ -220,4 +220,23 @@ public class BertWordPieceTokenizerTests extends BaseDL4JTest {
String exp = s.toLowerCase();
assertEquals(exp, s2);
}
@Test
public void testTokenizerHandlesLargeContiguousWhitespace() throws Exception {
StringBuilder sb = new StringBuilder();
sb.append("apple.");
for (int i = 0; i < 10000; i++) {
sb.append(" ");
}
sb.append(".pen. .pineapple");
File f = Resources.asFile("deeplearning4j-nlp/bert/uncased_L-12_H-768_A-12/vocab.txt");
BertWordPieceTokenizerFactory t = new BertWordPieceTokenizerFactory(f, true, true, StandardCharsets.UTF_8);
Tokenizer tokenizer = t.create(sb.toString());
List<String> list = tokenizer.getTokens();
System.out.println(list);
assertEquals(8, list.size());
}
}

2
libnd4j/blas/CMakeLists.txt
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@ -336,7 +336,7 @@ elseif(CPU_BLAS)
if ("${LIBND4J_ALL_OPS}" AND "${LIBND4J_BUILD_MINIFIER}")
message(STATUS "Building minifier...")
add_executable(minifier ../minifier/minifier.cpp ../minifier/graphopt.cpp)
target_link_libraries(minifier ${LIBND4J_NAME}static ${MKLDNN_LIBRARIES} ${OPENBLAS_LIBRARIES} ${MKLDNN} ${BLAS_LIBRARIES})
target_link_libraries(minifier ${LIBND4J_NAME}static ${MKLDNN_LIBRARIES} ${OPENBLAS_LIBRARIES} ${MKLDNN} ${BLAS_LIBRARIES} ${CPU_FEATURES})
endif()
if ("${CMAKE_CXX_COMPILER_ID}" STREQUAL "GNU" AND "${CMAKE_CXX_COMPILER_VERSION}" VERSION_LESS 4.9)

7
libnd4j/blas/NDArrayFactory.h
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@ -108,6 +108,13 @@ namespace nd4j {
template <typename T>
static NDArray create(char order, const std::vector<Nd4jLong> &shape, const std::initializer_list<T>& data, nd4j::LaunchContext * context = nd4j::LaunchContext ::defaultContext());
/**
* This method creates NDArray from .npy file
* @param fileName
* @return
*/
static NDArray fromNpyFile(const char *fileName);
/**
* This factory create array from utf8 string
* @return NDArray default dataType UTF8

27
libnd4j/blas/cpu/NDArrayFactory.cpp
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@ -24,11 +24,15 @@
#include <exceptions/cuda_exception.h>
#include <ConstantHelper.h>
#include <ConstantShapeHelper.h>
#include <GraphExecutioner.h>
#include <ShapeUtils.h>
#include <type_traits>
#include <StringUtils.h>
#include <NativeOps.h>
namespace nd4j {
@ -688,4 +692,27 @@ template ND4J_EXPORT NDArray NDArrayFactory::create(int16_t* buffer, const char
return NDArray( shape, string, dtype, context);
}
NDArray NDArrayFactory::fromNpyFile(const char *fileName) {
auto size = nd4j::graph::getFileSize(fileName);
if (size < 0)
throw std::runtime_error("File doesn't exit");
auto pNPY = reinterpret_cast<char*>(::numpyFromFile(std::string(fileName)));
auto nBuffer = reinterpret_cast<void*>(::dataPointForNumpy(pNPY));
auto shape = reinterpret_cast<Nd4jLong *>(::shapeBufferForNumpy(pNPY));
auto length = shape::length(shape);
int8_t *buffer = nullptr;
nd4j::memory::Workspace *workspace = nullptr;
auto byteLen = length * DataTypeUtils::sizeOfElement(ArrayOptions::dataType(shape));
ALLOCATE(buffer, workspace, byteLen, int8_t);
memcpy(buffer, nBuffer, byteLen);
free(pNPY);
return NDArray(buffer, shape, LaunchContext::defaultContext(), true);
}
}

8
libnd4j/include/execution/Threads.h
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@ -165,6 +165,14 @@ namespace samediff {
static int64_t parallel_long(FUNC_RL function, FUNC_AL aggregator, int64_t start, int64_t stop, int64_t increment = 1, uint64_t numThreads = nd4j::Environment::getInstance()->maxMasterThreads());
static double parallel_double(FUNC_RD function, FUNC_AD aggregator, int64_t start, int64_t stop, int64_t increment = 1, uint64_t numThreads = nd4j::Environment::getInstance()->maxMasterThreads());
/**
* This method will execute function in parallel preserving the parts to be aligned increment size
* PLEASE NOTE: this function can use smaller number of threads than requested.
*
*/
static int parallel_aligned_increment(FUNC_1D function, int64_t start, int64_t stop, int64_t increment, size_t type_size = sizeof(float), uint32_t req_numThreads = nd4j::Environment::getInstance()->maxMasterThreads());
};
}

82
libnd4j/include/execution/impl/Threads.cpp
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@ -638,4 +638,86 @@ namespace samediff {
return intermediatery[0];
}
int Threads::parallel_aligned_increment(FUNC_1D function, int64_t start, int64_t stop, int64_t increment, size_t type_size , uint32_t req_numThreads) {
if (start > stop)
throw std::runtime_error("Threads::parallel_for got start > stop");
auto num_elements = (stop - start);
//this way we preserve increment starts offset
//so we will parition considering delta but not total elements
auto delta = (stop - start) / increment;
// in some cases we just fire func as is
if (delta == 0 || req_numThreads == 1) {
function(0, start, stop, increment);
return 1;
}
int numThreads = 0;
int adjusted_numThreads = samediff::ThreadsHelper::numberOfThreads(req_numThreads, (num_elements * sizeof(double)) / (200 * type_size));
if (adjusted_numThreads > delta)
adjusted_numThreads = delta;
// shortcut
if (adjusted_numThreads <= 1) {
function(0, start, stop, increment);
return 1;
}
//take span as ceil
auto spand = std::ceil((double)delta / (double)adjusted_numThreads);
numThreads = static_cast<int>(std::ceil((double)delta / spand));
auto span = static_cast<Nd4jLong>(spand);
auto ticket = samediff::ThreadPool::getInstance()->tryAcquire(numThreads);
if (ticket != nullptr) {
//tail_add is additional value of the last part
//it could be negative or positive
//we will spread that value across
auto tail_add = delta - numThreads * span;
Nd4jLong begin = 0;
Nd4jLong end = 0;
//we will try enqueu bigger parts first
decltype(span) span1, span2;
int last = 0;
if (tail_add >= 0) {
//for span == 1 , tail_add is 0
last = tail_add;
span1 = span + 1;
span2 = span;
}
else {
last = numThreads + tail_add;// -std::abs(tail_add);
span1 = span;
span2 = span - 1;
}
for (int i = 0; i < last; i++) {
end = begin + span1 * increment;
// putting the task into the queue for a given thread
ticket->enqueue(i, numThreads, function, begin, end, increment);
begin = end;
}
for (int i = last; i < numThreads - 1; i++) {
end = begin + span2 * increment;
// putting the task into the queue for a given thread
ticket->enqueue(i, numThreads, function, begin, end, increment);
begin = end;
}
//for last one enqueue last offset as stop
//we need it in case our ((stop-start) % increment ) > 0
ticket->enqueue(numThreads - 1, numThreads, function, begin, stop, increment);
// block and wait till all threads finished the job
ticket->waitAndRelease();
// we tell that parallelism request succeeded
return numThreads;
}
else {
// if there were no threads available - we'll execute function right within current thread
function(0, start, stop, increment);
// we tell that parallelism request declined
return 1;
}
}
}

440
libnd4j/include/helpers/LoopsCoordsHelper.h Normal file
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@ -0,0 +1,440 @@
/*******************************************************************************
*
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author AbdelRauf
//
#ifndef LIBND4J_LOOPCOORDSHELPER_H
#define LIBND4J_LOOPCOORDSHELPER_H
#include <cstddef>
#include <type_traits>
#include <utility>
#include <pointercast.h>
#include <op_boilerplate.h>
namespace nd4j {
#if defined(__GNUC__)
#define likely(x) __builtin_expect( (x), 1)
#define unlikely(x) __builtin_expect( (x), 0)
#else
#define likely(x) (x)
#define unlikely(x) (x)
#endif
using zip_size_t = std::pair<size_t, size_t>;
template<size_t Index>
struct CoordsState :CoordsState<Index - 1> {
Nd4jLong coord;
Nd4jLong last_num;
Nd4jLong stride;
Nd4jLong adjust;
CoordsState() :CoordsState<Index - 1>() {}
};
template<>
struct CoordsState<0> {
Nd4jLong coord;
Nd4jLong last_num;
Nd4jLong stride;
Nd4jLong adjust;
CoordsState() {}
};
template<size_t Index>
struct ZipCoordsState :ZipCoordsState<Index - 1> {
Nd4jLong coord;
Nd4jLong last_num;
Nd4jLong stride1;
Nd4jLong stride2;
Nd4jLong adjust1;
Nd4jLong adjust2;
ZipCoordsState() : ZipCoordsState<Index - 1>() {}
};
template<>
struct ZipCoordsState<0> {
Nd4jLong coord;
Nd4jLong last_num;
Nd4jLong stride1;
Nd4jLong stride2;
Nd4jLong adjust1;
Nd4jLong adjust2;
ZipCoordsState() {}
};
#define COORDS(x,index) ((x).::nd4j::CoordsState<(index)>::coord)
#define STRIDE(x,index) ((x).::nd4j::CoordsState<(index)>::stride)
#define LAST_NUM(x,index) ((x).::nd4j::CoordsState<(index)>::last_num)
#define OF_ADJUST(x,index) ((x).::nd4j::CoordsState<(index)>::adjust)
#define ZIP_LAST_NUM(x,index) ((x).::nd4j::ZipCoordsState<(index)>::last_num)
#define ZIP_COORDS(x,index) ((x).::nd4j::ZipCoordsState<(index)>::coord)
#define ZIP_STRIDE1(x,index) ((x).::nd4j::ZipCoordsState<(index)>::stride1)
#define ZIP_STRIDE2(x,index) ((x).::nd4j::ZipCoordsState<(index)>::stride2)
#define ZIP_OF_ADJUST1(x,index) ((x).::nd4j::ZipCoordsState<(index)>::adjust1)
#define ZIP_OF_ADJUST2(x,index) ((x).::nd4j::ZipCoordsState<(index)>::adjust2)
FORCEINLINE void index2coords_C(Nd4jLong index, const Nd4jLong rank, const Nd4jLong* bases, Nd4jLong* coords) {
for (size_t i = rank - 1; i > 0; --i) {
coords[i] = index % bases[i];
index /= bases[i];
}
coords[0] = index; // last iteration
}
FORCEINLINE void index2coords_F(Nd4jLong index, const Nd4jLong rank, const Nd4jLong* bases, Nd4jLong* coords) {
for (size_t i = 0; i < rank - 1; i++) {
coords[i] = index % bases[i];
index /= bases[i];
}
coords[rank - 1] = index; // last iteration
}
FORCEINLINE size_t offset_from_coords(const Nd4jLong* strides, const Nd4jLong* coords, const Nd4jLong& rank) {
size_t offset = 0;
size_t rank_4 = rank & -4;
for (int i = 0; i < rank_4; i += 4) {
offset = offset
+ coords[i] * strides[i]
+ coords[i + 1] * strides[i + 1]
+ coords[i + 2] * strides[i + 2]
+ coords[i + 3] * strides[i + 3];
}
for (int i = rank_4; i < rank; i++) {
offset += coords[i] * strides[i];
}
return offset;
}
FORCEINLINE zip_size_t offset_from_coords(const Nd4jLong*& x_strides, const Nd4jLong*& z_strides, const Nd4jLong* coords, const Nd4jLong& rank) {
zip_size_t offset = { 0,0 };
size_t rank_4 = rank & -4;
for (int i = 0; i < rank_4; i += 4) {
offset.first = offset.first
+ coords[i] * x_strides[i]
+ coords[i + 1] * x_strides[i + 1]
+ coords[i + 2] * x_strides[i + 2]
+ coords[i + 3] * x_strides[i + 3];
offset.second = offset.second
+ coords[i] * z_strides[i]
+ coords[i + 1] * z_strides[i + 1]
+ coords[i + 2] * z_strides[i + 2]
+ coords[i + 3] * z_strides[i + 3];
}
for (int i = rank_4; i < rank; i++) {
offset.first += coords[i] * x_strides[i];
offset.second += coords[i] * z_strides[i];
}
return offset;
}
template<size_t Rank, size_t Index, bool Last_Index_Faster = true>
constexpr size_t StridesOrderInd() {
return Last_Index_Faster ? Rank - Index - 1 : Index;
}
template<size_t Rank, size_t Index, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == Index), size_t>::type
coord_inc_n(CoordsState<Rank - 1>& cbs, size_t last_offset) {
constexpr size_t Ind = StridesOrderInd<Rank, Index, Last_Index_Faster>();
if (likely(COORDS(cbs, Ind) < LAST_NUM(cbs, Ind))) {
last_offset += cbs.CoordsState<Ind>::stride;
COORDS(cbs, Ind) = COORDS(cbs, Ind) + 1;
return last_offset;
}
//overflow case should not happen
COORDS(cbs, Ind) = 0;
//last_offset = 0;// last_offset + strides[Ind] - adjust_stride;
return 0;
}
template<size_t Rank, size_t Index, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 != Index), size_t >::type
coord_inc_n(CoordsState<Rank - 1>& cbs, size_t last_offset) {
constexpr size_t Ind = StridesOrderInd<Rank, Index, Last_Index_Faster>();
if (likely(COORDS(cbs, Ind) < LAST_NUM(cbs, Ind))) {
last_offset = last_offset + cbs.CoordsState<Ind>::stride;
COORDS(cbs, Ind) = COORDS(cbs, Ind) + 1;
}
else {
//lets adjust offset
last_offset -= OF_ADJUST(cbs, Ind);
COORDS(cbs, Ind) = 0;
last_offset = coord_inc_n<Rank, Index + 1, Last_Index_Faster>(cbs, last_offset);
}
return last_offset;
}
template<size_t Rank, size_t Index = 0, bool Last_Index_Faster = true>
FORCEINLINE size_t inc_coords(CoordsState<Rank - 1>& cbs, size_t last_offset) {
return coord_inc_n<Rank, Index, Last_Index_Faster>(cbs,/* 1,*/ last_offset/*, 0*/);
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE size_t inc_coords_ews(CoordsState<Rank - 1>& cbs, size_t last_offset, size_t ews) {
if (ews == 1) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
return last_offset + STRIDE(cbs, Ind);
}
return coord_inc_n<Rank, rankIndex, Last_Index_Faster>(cbs,/* 1,*/ last_offset/*, 0*/);
}
template<size_t Rank, size_t rankIndex, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == rankIndex), zip_size_t>::type
coord_inc_n(ZipCoordsState<Rank - 1>& cbs, zip_size_t last_offset) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
if (likely(ZIP_COORDS(cbs, Ind) < ZIP_LAST_NUM(cbs, Ind))) {
last_offset.first += ZIP_STRIDE1(cbs, Ind);
last_offset.second += ZIP_STRIDE2(cbs, Ind);
ZIP_COORDS(cbs, Ind) = ZIP_COORDS(cbs, Ind) + 1;
return last_offset;
}
//overflow case should not happen
ZIP_COORDS(cbs, Ind) = 0;
//last_offset = 0;// last_offset + strides[Ind] - adjust_stride;
return { 0,0 };
}
template<size_t Rank, size_t rankIndex, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 != rankIndex), zip_size_t >::type
coord_inc_n(ZipCoordsState<Rank - 1>& cbs, zip_size_t last_offset) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
if (likely(ZIP_COORDS(cbs, Ind) < ZIP_LAST_NUM(cbs, Ind))) {
last_offset.first += ZIP_STRIDE1(cbs, Ind);
last_offset.second += ZIP_STRIDE2(cbs, Ind);
ZIP_COORDS(cbs, Ind) = ZIP_COORDS(cbs, Ind) + 1;
}
else {
//lets adjust offset
last_offset.first -= ZIP_OF_ADJUST1(cbs, Ind);
last_offset.second -= ZIP_OF_ADJUST2(cbs, Ind);
ZIP_COORDS(cbs, Ind) = 0;
last_offset = coord_inc_n<Rank, rankIndex + 1, Last_Index_Faster>(cbs, last_offset);
}
return last_offset;
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE zip_size_t inc_coords(ZipCoordsState<Rank - 1>& cbs, zip_size_t last_offset) {
return coord_inc_n<Rank, rankIndex, Last_Index_Faster>(cbs, last_offset);
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == rankIndex), size_t>::type
init_coords(CoordsState<Rank - 1>& cbs, const Nd4jLong index, const Nd4jLong* bases, const Nd4jLong* strides, size_t offset = 0) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
COORDS(cbs, Ind) = index % bases[Ind];
LAST_NUM(cbs, Ind) = bases[Ind] - 1;
STRIDE(cbs, Ind) = strides[Ind];
OF_ADJUST(cbs, Ind) = bases[Ind] * strides[Ind] - strides[Ind];
offset += COORDS(cbs, Ind) * strides[Ind];
return offset;
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 != rankIndex), size_t>::type
init_coords(CoordsState<Rank - 1>& cbs, const Nd4jLong index, const Nd4jLong* bases, const Nd4jLong* strides, size_t offset = 0) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
COORDS(cbs, Ind) = index % bases[Ind];
LAST_NUM(cbs, Ind) = bases[Ind] - 1;
STRIDE(cbs, Ind) = strides[Ind];
OF_ADJUST(cbs, Ind) = bases[Ind] * strides[Ind] - strides[Ind];
offset += COORDS(cbs, Ind) * strides[Ind];
return init_coords<Rank, rankIndex + 1, Last_Index_Faster>(cbs, index / bases[Ind], bases, strides, offset);
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == rankIndex), bool>::type
eq_coords(CoordsState<Rank - 1>& cbs, const Nd4jLong* coords) {
return COORDS(cbs, rankIndex) == coords[rankIndex];
}
template<size_t Rank, size_t rankIndex = 0>
FORCEINLINE
typename std::enable_if<(Rank - 1 != rankIndex), bool>::type
eq_coords(CoordsState<Rank - 1>& cbs, const Nd4jLong* coords) {
return COORDS(cbs, rankIndex) == coords[rankIndex] && eq_coords<Rank, rankIndex + 1>(cbs, coords);
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == rankIndex), bool>::type
eq_zip_coords(ZipCoordsState<Rank - 1>& cbs, const Nd4jLong* coords) {
return ZIP_COORDS(cbs, rankIndex) == coords[rankIndex];
}
template<size_t Rank, size_t rankIndex = 0>
FORCEINLINE
typename std::enable_if<(Rank - 1 != rankIndex), bool>::type
eq_zip_coords(ZipCoordsState<Rank - 1>& cbs, const Nd4jLong* coords) {
return ZIP_COORDS(cbs, rankIndex) == coords[rankIndex] && eq_zip_coords<Rank, rankIndex + 1>(cbs, coords);
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 == rankIndex), zip_size_t>::type
init_coords(ZipCoordsState<Rank - 1>& cbs, const Nd4jLong index, const Nd4jLong* bases, const Nd4jLong* x_strides, const Nd4jLong* z_strides, zip_size_t offset = {}) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
ZIP_COORDS(cbs, Ind) = index % bases[Ind];
ZIP_LAST_NUM(cbs, Ind) = bases[Ind] - 1;
ZIP_STRIDE1(cbs, Ind) = x_strides[Ind];
ZIP_STRIDE2(cbs, Ind) = z_strides[Ind];
ZIP_OF_ADJUST1(cbs, Ind) = ZIP_LAST_NUM(cbs, Ind) * ZIP_STRIDE1(cbs, Ind);
ZIP_OF_ADJUST2(cbs, Ind) = ZIP_LAST_NUM(cbs, Ind) * ZIP_STRIDE2(cbs, Ind);
offset.first += ZIP_COORDS(cbs, Ind) * ZIP_STRIDE1(cbs, Ind);
offset.second += ZIP_COORDS(cbs, Ind) * ZIP_STRIDE2(cbs, Ind);
return offset;
}
template<size_t Rank, size_t rankIndex = 0, bool Last_Index_Faster = true>
FORCEINLINE
typename std::enable_if<(Rank - 1 != rankIndex), zip_size_t>::type
init_coords(ZipCoordsState<Rank - 1>& cbs, const Nd4jLong index, const Nd4jLong* bases, const Nd4jLong* x_strides, const Nd4jLong* z_strides, zip_size_t offset = {}) {
constexpr size_t Ind = StridesOrderInd<Rank, rankIndex, Last_Index_Faster>();
ZIP_COORDS(cbs, Ind) = index % bases[Ind];
ZIP_LAST_NUM(cbs, Ind) = bases[Ind] - 1;
ZIP_STRIDE1(cbs, Ind) = x_strides[Ind];
ZIP_STRIDE2(cbs, Ind) = z_strides[Ind];
ZIP_OF_ADJUST1(cbs, Ind) = ZIP_LAST_NUM(cbs, Ind) * ZIP_STRIDE1(cbs, Ind);
ZIP_OF_ADJUST2(cbs, Ind) = ZIP_LAST_NUM(cbs, Ind) * ZIP_STRIDE2(cbs, Ind);
offset.first += ZIP_COORDS(cbs, Ind) * ZIP_STRIDE1(cbs, Ind);
offset.second += ZIP_COORDS(cbs, Ind) * ZIP_STRIDE2(cbs, Ind);
return init_coords<Rank, rankIndex + 1, Last_Index_Faster>(cbs, index / bases[Ind], bases, x_strides, z_strides, offset);
}
//inc coords for non constant Ranks
template<bool Last_Index_Faster = true>
FORCEINLINE size_t inc_coords(const Nd4jLong* bases, const Nd4jLong* strides, Nd4jLong* coords, size_t last_offset, const size_t rank, const size_t skip = 0) {
Nd4jLong val;
for (int i = rank - skip - 1; i >= 0; i--) {
val = coords[i] + 1;
if (likely(val < bases[i])) {
coords[i] = val;
last_offset += strides[i];
break;
}
else {
last_offset -= coords[i] * strides[i];
coords[i] = 0;
}
}
return last_offset;
}
template<>
FORCEINLINE size_t inc_coords<false>(const Nd4jLong* bases, const Nd4jLong* strides, Nd4jLong* coords, size_t last_offset, const size_t rank, const size_t skip) {
Nd4jLong val;
for (int i = skip; i < rank; i++) {
val = coords[i] + 1;
if (likely(val < bases[i])) {
coords[i] = val;
last_offset += strides[i];
break;
}
else {
last_offset -= coords[i] * strides[i];
coords[i] = 0;
}
}
return last_offset;
}
template<bool Last_Index_Faster = true>
FORCEINLINE zip_size_t inc_coords(const Nd4jLong* bases, const Nd4jLong* x_strides, const Nd4jLong* z_strides, Nd4jLong* coords, zip_size_t last_offset, const size_t rank, const size_t skip = 0) {
Nd4jLong val = 0;
for (int i = rank - skip - 1; i >= 0; i--) {
val = coords[i] + 1;
if (likely(val < bases[i])) {
coords[i] = val;
last_offset.first += x_strides[i];
last_offset.second += z_strides[i];
break;
}
else {
last_offset.first -= coords[i] * x_strides[i];
last_offset.second -= coords[i] * z_strides[i];
coords[i] = 0;
}
}
return last_offset;
}
template<>
FORCEINLINE zip_size_t inc_coords<false>(const Nd4jLong* bases, const Nd4jLong* x_strides, const Nd4jLong* z_strides, Nd4jLong* coords, zip_size_t last_offset, const size_t rank, const size_t skip) {
Nd4jLong val = 0;
for (int i = skip; i < rank; i++) {
val = coords[i] + 1;
if (likely(val < bases[i])) {
coords[i] = val;
last_offset.first += x_strides[i];
last_offset.second += z_strides[i];
break;
}
else {
last_offset.first -= coords[i] * x_strides[i];
last_offset.second -= coords[i] * z_strides[i];
coords[i] = 0;
}
}
return last_offset;
}
}
#endif

2
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32.cpp → libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_0.cpp
View File

@ -21,4 +21,4 @@
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES, (nd4j::DataType::INT32, int32_t));
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_0, (nd4j::DataType::INT32, int32_t));

2
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64.cpp → libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_1.cpp
View File

@ -21,4 +21,4 @@
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES, (nd4j::DataType::INT64, Nd4jLong));
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_1, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_2.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_2, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_3.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_3, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_4.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_4, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_5.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_5, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_6.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_6, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_7.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_7, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_8.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_8, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int32_9.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_9, (nd4j::DataType::INT32, int32_t));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_0.cpp Normal file
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@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_0, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_1.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_1, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_2.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_2, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_3.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_3, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_4.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_4, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_5.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_5, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_6.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_6, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_7.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_7, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_8.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_8, (nd4j::DataType::INT64, Nd4jLong));

24
libnd4j/include/helpers/cpu/loops/IndexReductionLoops_int64_9.cpp Normal file
View File

@ -0,0 +1,24 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include "./IndexReductionLoops.hpp"
BUILD_DOUBLE_TEMPLATE(template void nd4j::IndexReductionLoops, ::wrapIndexReduce(const int opNum, void* vx, Nd4jLong* xShapeInfo, void* z, Nd4jLong* zShapeInfo, Nd4jLong* tadShapeInfo, Nd4jLong* tadOffsets, void* vextraParams), LIBND4J_TYPES_9, (nd4j::DataType::INT64, Nd4jLong));

0
libnd4j/include/helpers/TrueBroadcastHelper.h → libnd4j/include/loops/TrueBroadcastHelper.h
View File

5
libnd4j/include/helpers/cpu/TrueBroadcastHelper.cpp → libnd4j/include/loops/cpu/TrueBroadcastHelper.hpp
View File

@ -18,7 +18,7 @@
// @author Yurii Shyrma (iuriish@yahoo.com)
//
#include <TrueBroadcastHelper.h>
#include <loops/TrueBroadcastHelper.h>
#include <ops/ops.h>
#include <execution/Threads.h>
@ -210,6 +210,7 @@ void TrueBroadcastIntHelper<X>::exec(const nd4j::broadcast::IntOps opNum, const
DISPATCH_BY_OPNUM_T(exec, PARAMS(xArr, yArr, zArr), BROADCAST_INT_OPS);
}
/*
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_0);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_1);
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_2);
@ -224,6 +225,6 @@ BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWI
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastBoolHelper, , LIBND4J_TYPES, BOOL_TYPES);
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastIntHelper, , INTEGER_TYPES);
*/
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_0.cpp Normal file
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@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_9);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_1.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_0);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_2.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_1);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_3.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_2);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_4.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_3);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_5.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_4);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_6.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_5);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_7.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_6);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_8.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_7);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_9.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_PAIRWISE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastHelper, , PAIRWISE_TYPES_8);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_bool.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastBoolHelper, , LIBND4J_TYPES, BOOL_TYPES);
}
}

27
libnd4j/include/loops/cpu/compilation_units/TrueBroadcastHelper_int.cpp Normal file
View File

@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2019-2020 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../TrueBroadcastHelper.hpp"
namespace nd4j {
namespace helpers {
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT TrueBroadcastIntHelper, , INTEGER_TYPES);
}
}

2
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64.cpp → libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_0.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES, (nd4j::DataType::INT64, Nd4jLong));
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_0, (nd4j::DataType::INT32, int32_t));
}
}

2
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32.cpp → libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_1.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES, (nd4j::DataType::INT32, int32_t));
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_1, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_2.cpp Normal file
View File

@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_2, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_3.cpp Normal file
View File

@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_3, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_4.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_4, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_5.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_5, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_6.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_6, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_7.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_7, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_8.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_8, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int32_9.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_9, (nd4j::DataType::INT32, int32_t));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_0.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_0, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_1.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_1, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_2.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_2, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_3.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_3, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_4.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_4, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_5.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_5, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_6.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_6, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_7.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_7, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_8.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_8, (nd4j::DataType::INT64, Nd4jLong));
}
}

28
libnd4j/include/loops/cpu/compilation_units/indexreduce_int64_9.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../indexreduce.hpp"
namespace functions {
namespace indexreduce {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT IndexReduce, , LIBND4J_TYPES_9, (nd4j::DataType::INT64, Nd4jLong));
}
}

27
libnd4j/include/loops/cpu/compilation_units/random_0.cpp Normal file
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@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../random.hpp"
namespace functions {
namespace random {
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES_0);
}
}

27
libnd4j/include/loops/cpu/compilation_units/random_1.cpp Normal file
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@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../random.hpp"
namespace functions {
namespace random {
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES_1);
}
}

27
libnd4j/include/loops/cpu/compilation_units/random_2.cpp Normal file
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@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../random.hpp"
namespace functions {
namespace random {
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES_2);
}
}

27
libnd4j/include/loops/cpu/compilation_units/random_3.cpp Normal file
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@ -0,0 +1,27 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../random.hpp"
namespace functions {
namespace random {
BUILD_SINGLE_TEMPLATE(template class ND4J_EXPORT RandomFunction, , FLOAT_TYPES_3);
}
}

2
libnd4j/include/loops/cpu/compilation_units/reduce3_float.cpp → libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_0.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES, FLOAT_TYPES_1);
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_0, FLOAT_TYPES_3);
}
}

2
libnd4j/include/loops/cpu/compilation_units/reduce3_double.cpp → libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_1.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES, FLOAT_TYPES_2);
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_1, FLOAT_TYPES_3);
}
}

2
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16.cpp → libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_2.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES, FLOAT_TYPES_3);
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_2, FLOAT_TYPES_3);
}
}

2
libnd4j/include/loops/cpu/compilation_units/reduce3_float16.cpp → libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_3.cpp
View File

@ -23,6 +23,6 @@
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES, FLOAT_TYPES_0);
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_3, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_4.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_4, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_5.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_5, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_6.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_6, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_7.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_7, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_8.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_8, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_bfloat16_9.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_9, FLOAT_TYPES_3);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_0.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_0, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_1.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_1, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_2.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_2, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_3.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_3, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_4.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_4, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_5.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_5, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_6.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_6, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_7.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_7, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_8.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_8, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_double_9.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_9, FLOAT_TYPES_2);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_0.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_0, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_1.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_1, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_2.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_2, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_3.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_3, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_4.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_4, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_5.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_5, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_6.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_6, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_7.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_7, FLOAT_TYPES_0);
}
}

28
libnd4j/include/loops/cpu/compilation_units/reduce3_float16_8.cpp Normal file
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@ -0,0 +1,28 @@
/*******************************************************************************
* Copyright (c) 2015-2018 Skymind, Inc.
* Copyright (c) 2019 Konduit K.K.
*
* This program and the accompanying materials are made available under the
* terms of the Apache License, Version 2.0 which is available at
* https://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.
*
* SPDX-License-Identifier: Apache-2.0
******************************************************************************/
//
// @author raver119@gmail.com
//
#include "../reduce3.hpp"
namespace functions {
namespace reduce3 {
BUILD_DOUBLE_TEMPLATE(template class ND4J_EXPORT Reduce3, , LIBND4J_TYPES_8, FLOAT_TYPES_0);
}
}

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