cavis/libnd4j/include/graph/impl/Context.cpp

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2019-06-06 14:21:15 +02:00
/*******************************************************************************
* 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 <Context.h>
#include <helpers/ShapeUtils.h>
#include <graph/Context.h>
String changes (#3) * initial commit * additional data types & tensor type Signed-off-by: raver119 <raver119@gmail.com> * next step Signed-off-by: raver119 <raver119@gmail.com> * missing include * sparse_to_dense Signed-off-by: raver119 <raver119@gmail.com> * few more tests files Signed-off-by: raver119 <raver119@gmail.com> * draft Signed-off-by: raver119 <raver119@gmail.com> * numeric sparse_to_dense Signed-off-by: raver119 <raver119@gmail.com> * comment Signed-off-by: raver119 <raver119@gmail.com> * string sparse_to_dense version Signed-off-by: raver119 <raver119@gmail.com> * CUDA DataBuffer expand Signed-off-by: raver119 <raver119@gmail.com> * few tweaks for CUDA build Signed-off-by: raver119 <raver119@gmail.com> * shape fn for string_split Signed-off-by: raver119 <raver119@gmail.com> * one more comment Signed-off-by: raver119 <raver119@gmail.com> * string_split indices Signed-off-by: raver119 <raver119@gmail.com> * next step Signed-off-by: raver119 <raver119@gmail.com> * test passes Signed-off-by: raver119 <raver119@gmail.com> * few rearrangements for databuffer implementations Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer: move inline methods to common implementations Signed-off-by: raver119 <raver119@gmail.com> * add native DataBuffer to Nd4j presets Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer creation Signed-off-by: raver119 <raver119@gmail.com> * use DataBuffer for allocation Signed-off-by: raver119 <raver119@gmail.com> * cpu databuffer as deallocatable Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer setters for bufers Signed-off-by: raver119 <raver119@gmail.com> * couple of wrappers Signed-off-by: raver119 <raver119@gmail.com> * DataBuffers being passed around Signed-off-by: raver119 <raver119@gmail.com> * Bunch of ByteBuffer-related signatures gone Signed-off-by: raver119 <raver119@gmail.com> * - few more Nd4j signatures removed - minor fix for bfloat16 Signed-off-by: raver119 <raver119@gmail.com> * nullptr pointer is still a pointer, but 0 as address :) Signed-off-by: raver119 <raver119@gmail.com> * one special test Signed-off-by: raver119 <raver119@gmail.com> * empty string array init Signed-off-by: raver119 <raver119@gmail.com> * one more test in cpp Signed-off-by: raver119 <raver119@gmail.com> * memcpy instead of databuffer swap Signed-off-by: raver119 <raver119@gmail.com> * special InteropDataBuffer for front-end languages Signed-off-by: raver119 <raver119@gmail.com> * few tweaks for java Signed-off-by: raver119 <raver119@gmail.com> * pointer/indexer actualization Signed-off-by: raver119 <raver119@gmail.com> * CustomOp returns list for inputArumgents and outputArguments instead of array Signed-off-by: raver119 <raver119@gmail.com> * redundant call Signed-off-by: raver119 <raver119@gmail.com> * print_variable op Signed-off-by: raver119 <raver119@gmail.com> * - view handling (but wrong one) - print_variable java wrapper Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * - empty arrays handling Signed-off-by: raver119 <raver119@gmail.com> * - deserialization works now Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * one more fix Signed-off-by: raver119 <raver119@gmail.com> * initial cuda commit Signed-off-by: raver119 <raver119@gmail.com> * print_variable message validation Signed-off-by: raver119 <raver119@gmail.com> * CUDA views Signed-off-by: raver119 <raver119@gmail.com> * CUDA special buffer size Signed-off-by: raver119 <raver119@gmail.com> * minor update to match master changes Signed-off-by: raver119 <raver119@gmail.com> * - consider arrays always actual on device for CUDA - additional PrintVariable constructor - CudaUtf8Buffer now allocates host buffer by default Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * - print_variable now allows print from device Signed-off-by: raver119 <raver119@gmail.com> * InteropDataBuffer data type fix Signed-off-by: raver119 <raver119@gmail.com> * ... Signed-off-by: raver119 <raver119@gmail.com> * disable some debug messages Signed-off-by: raver119 <raver119@gmail.com> * master pulled in Signed-off-by: raver119 <raver119@gmail.com> * couple of new methods for DataBuffer interop Signed-off-by: raver119 <raver119@gmail.com> * java side Signed-off-by: raver119 <raver119@gmail.com> * offsetted constructor Signed-off-by: raver119 <raver119@gmail.com> * new CUDA deallocator Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart 2 Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart 3 Signed-off-by: raver119 <raver119@gmail.com> * - few new tests - few new methods for DataBuffer management Signed-off-by: raver119 <raver119@gmail.com> * few more tests + few more tweaks Signed-off-by: raver119 <raver119@gmail.com> * two failing tests Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * two failing tests pass Signed-off-by: raver119 <raver119@gmail.com> * now we pass DataBuffer to legacy ops too Signed-off-by: raver119 <raver119@gmail.com> * Native DataBuffer for legacy ops, Java side Signed-off-by: raver119 <raver119@gmail.com> * CPU java side update Signed-off-by: raver119 <raver119@gmail.com> * CUDA java side update Signed-off-by: raver119 <raver119@gmail.com> * no more prepare/register action on java side Signed-off-by: raver119 <raver119@gmail.com> * NDArray::prepare/register use now accepts vectors Signed-off-by: raver119 <raver119@gmail.com> * InteropDataBuffer now has few more convenience methods Signed-off-by: raver119 <raver119@gmail.com> * java bindings update Signed-off-by: raver119 <raver119@gmail.com> * tick device in NativeOps Signed-off-by: raver119 <raver119@gmail.com> * Corrected usage of OpaqueBuffer for tests. * Corrected usage of OpaqueBuffer for java tests. * NativeOpsTests fixes. * print_variable now returns scalar Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * compat_string_split fix for CUDA Signed-off-by: raver119 <raver119@gmail.com> * - CUDA execScalar fix - CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer Signed-off-by: raver119 <raver119@gmail.com> * legacy ops DataBuffer migration prototype Signed-off-by: raver119 <raver119@gmail.com> * ignore device shapeinfo coming from java Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> * minor transformAny fix Signed-off-by: raver119 <raver119@gmail.com> * minor tweak for lazy host allocation Signed-off-by: raver119 <raver119@gmail.com> * - DataBuffer::memcpy method - bitcast now uses memcpy Signed-off-by: raver119 <raver119@gmail.com> * - IndexReduce CUDA dimension buffer fix Signed-off-by: raver119 <raver119@gmail.com> * views for CPU and CUDA Signed-off-by: raver119 <raver119@gmail.com> * less spam Signed-off-by: raver119 <raver119@gmail.com> * optional memory init Signed-off-by: raver119 <raver119@gmail.com> * async memset Signed-off-by: raver119 <raver119@gmail.com> * - SummaryStats CUDA fix - DataBuffer.sameUnderlyingData() impl - execBroadcast fix Signed-off-by: raver119 <raver119@gmail.com> * - reduce3All fix switch to CUDA 10 temporarily Signed-off-by: raver119 <raver119@gmail.com> * CUDA version Signed-off-by: raver119 <raver119@gmail.com> * proper memory deallocator registration Signed-off-by: raver119 <raver119@gmail.com> * HOST_ONLY workspace allocation Signed-off-by: raver119 <raver119@gmail.com> * temp commit Signed-off-by: raver119 <raver119@gmail.com> * few conflicts resolved Signed-off-by: raver119 <raver119@gmail.com> * few minor fixes Signed-off-by: raver119 <raver119@gmail.com> * one more minor fix Signed-off-by: raver119 <raver119@gmail.com> * NDArray permute should operate on JVM primitives Signed-off-by: raver119 <raver119@gmail.com> * - create InteropDataBuffer for shapes as well - update pointers after view creation in Java Signed-off-by: raver119 <raver119@gmail.com> * - addressPointer temporary moved to C++ Signed-off-by: raver119 <raver119@gmail.com> * CUDA: don't account offset twice Signed-off-by: raver119 <raver119@gmail.com> * CUDA: DataBuffer pointer constructor updated Signed-off-by: raver119 <raver119@gmail.com> * CUDA NDArray.unsafeDuplication() simplified Signed-off-by: raver119 <raver119@gmail.com> * CUDA minor workspace-related fixes Signed-off-by: raver119 <raver119@gmail.com> * CPU DataBuffer.reallocate() Signed-off-by: raver119 <raver119@gmail.com> * print_affinity op Signed-off-by: raver119 <raver119@gmail.com> * print_affinity java side Signed-off-by: raver119 <raver119@gmail.com> * CUDA more tweaks for data locality Signed-off-by: raver119 <raver119@gmail.com> * - compat_string_split tweak - CudaUtf8Buffer update Signed-off-by: raver119 <raver119@gmail.com> * INDArray.close() mechanic restored Signed-off-by: raver119 <raver119@gmail.com> * one more test fixed Signed-off-by: raver119 <raver119@gmail.com> * - CUDA DataBuffer.reallocate() updated - cudaMemcpy (synchronous) restored Signed-off-by: raver119 <raver119@gmail.com> * one last fix Signed-off-by: raver119 <raver119@gmail.com> * bad import removed Signed-off-by: raver119 <raver119@gmail.com> * another small fix Signed-off-by: raver119 <raver119@gmail.com> * one special test Signed-off-by: raver119 <raver119@gmail.com> * fix bad databuffer size Signed-off-by: raver119 <raver119@gmail.com> * release primaryBuffer on replace Signed-off-by: raver119 <raver119@gmail.com> * higher timeout Signed-off-by: raver119 <raver119@gmail.com> * disable timeouts Signed-off-by: raver119 <raver119@gmail.com> * dbCreateView now validates offset and length of a view Signed-off-by: raver119 <raver119@gmail.com> * additional validation for dbExpand Signed-off-by: raver119 <raver119@gmail.com> * restore timeout back again Signed-off-by: raver119 <raver119@gmail.com> * smaller distribution for rng test to prevent timeouts Signed-off-by: raver119 <raver119@gmail.com> * CUDA DataBuffer::memcpy now copies to device all the time Signed-off-by: raver119 <raver119@gmail.com> * OpaqueDataBuffer now contains all required methods for interop Signed-off-by: raver119 <raver119@gmail.com> * some javadoc Signed-off-by: raver119 <raver119@gmail.com> * GC on failed allocations Signed-off-by: raver119 <raver119@gmail.com> * minoe memcpu tweak Signed-off-by: raver119 <raver119@gmail.com> * one more bitcast test Signed-off-by: raver119 <raver119@gmail.com> * - NDArray::deviceId() propagation - special multi-threaded test for data locality checks Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer additional syncStream Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer additional syncStream Signed-off-by: raver119 <raver119@gmail.com> * one ignored test Signed-off-by: raver119 <raver119@gmail.com> * skip host alloc for empty arrays Signed-off-by: raver119 <raver119@gmail.com> * ByteBuffer support is back Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer::memcpy minor fix Signed-off-by: raver119 <raver119@gmail.com> * few minor prelu/bp tweaks Signed-off-by: raver119 <raver119@gmail.com> * nullify-related fixes Signed-off-by: raver119 <raver119@gmail.com> * PReLU fixes (#157) Signed-off-by: Alex Black <blacka101@gmail.com> * Build fixed * Fix tests * one more ByteBuffer signature restored Signed-off-by: raver119 <raver119@gmail.com> * nd4j-jdbc-hsql profiles fix Signed-off-by: raver119 <raver119@gmail.com> * nd4j-jdbc-hsql profiles fix Signed-off-by: raver119 <raver119@gmail.com> * PReLU weight init fix Signed-off-by: Alex Black <blacka101@gmail.com> * Small PReLU fix Signed-off-by: Alex Black <blacka101@gmail.com> * - INDArray.migrate() reactivated - DataBuffer::setDeviceId(...) added - InteropDataBuffer Z syncToDevice added for views Signed-off-by: raver119 <raver119@gmail.com> * missed file Signed-off-by: raver119 <raver119@gmail.com> * Small tweak Signed-off-by: Alex Black <blacka101@gmail.com> * cuda 10.2 Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com> Co-authored-by: Alex Black <blacka101@gmail.com> Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 11:27:50 +01:00
#include <array/InteropDataBuffer.h>
2019-06-06 14:21:15 +02:00
namespace nd4j {
namespace graph {
Context::Context(ContextPrototype* prototype, VariableSpace* variableSpace) {
_variableSpace = variableSpace;
_dataType = prototype->dataType();
if (prototype != nullptr) {
for (const auto &v: *(prototype->inputs())) {
this->_inputs.push_back(v);
}
for (const auto &v: *(prototype->getTArguments())) {
this->_tArgs.push_back(v);
}
for (const auto &v: *(prototype->getIArguments())) {
this->_iArgs.push_back(v);
}
for (const auto &v: *(prototype->getBArguments())) {
this->_bArgs.push_back(v);
}
for (const auto &v: *(prototype->getAxis())) {
this->_axis.push_back(v);
}
this->_opNum = prototype->opNum();
this->_isInplace = prototype->isInplace();
this->_nodeId = prototype->nodeId();
this->_useMKLDNN = prototype->isUseMKLDNN();
}
if (variableSpace != nullptr && variableSpace->launchContext()->getWorkspace() != nullptr)
this->_workspace = variableSpace->launchContext()->getWorkspace();
}
nd4j::DataType Context::dataType(int index) {
return _dataType;
}
nd4j::DataType Context::dataType() {
return dataType(0);
}
void Context::setDataType(int index, nd4j::DataType type) {
if (this->_dataTypes.size() > (size_t)index)
_dataTypes[index] = type;
_dataType = type;
}
Context::Context(int nodeId, VariableSpace *variableSpace) {
this->_nodeId = nodeId;
this->_variableSpace = variableSpace;
this->_isInplace = false;
this->_workspace = nullptr;
this->_executionTime.first = 0;
this->_executionTime.second = 0;
if (variableSpace != nullptr && variableSpace->launchContext()->getWorkspace() != nullptr)
this->_workspace = variableSpace->launchContext()->getWorkspace();
}
Context::Context(int nodeId, VariableSpace *variableSpace, bool isInplace) : Context(nodeId, variableSpace) {
this->_isInplace = isInplace;
}
Context::~Context() {
this->_iArgs.clear();
this->_tArgs.clear();
this->_inputs.clear();
this->_fastpath_in.clear();
this->_fastpath_out.clear();
for (auto v:_handles)
delete v;
if (_context != nullptr)
delete _context;
}
cuDNN integration (#150) * initial commit Signed-off-by: raver119 <raver119@gmail.com> * one file Signed-off-by: raver119 <raver119@gmail.com> * few more includes Signed-off-by: raver119 <raver119@gmail.com> * m? Signed-off-by: raver119 <raver119@gmail.com> * const Signed-off-by: raver119 <raver119@gmail.com> * cudnn linkage in tests Signed-off-by: raver119 <raver119@gmail.com> * culibos Signed-off-by: raver119 <raver119@gmail.com> * static reminder Signed-off-by: raver119 <raver119@gmail.com> * platform engine tag Signed-off-by: raver119 <raver119@gmail.com> * HAVE_CUDNN moved to config.h.in Signed-off-by: raver119 <raver119@gmail.com> * include Signed-off-by: raver119 <raver119@gmail.com> * include Signed-off-by: raver119 <raver119@gmail.com> * skip cudnn handle creation if there's not cudnn Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * target device in context Signed-off-by: raver119 <raver119@gmail.com> * platform engines Signed-off-by: raver119 <raver119@gmail.com> * platform engines Signed-off-by: raver119 <raver119@gmail.com> * allow multiple -h args Signed-off-by: raver119 <raver119@gmail.com> * allow multiple -h args Signed-off-by: raver119 <raver119@gmail.com> * move mkldnn out of CPU block Signed-off-by: raver119 <raver119@gmail.com> * link to mkldnn on cuda Signed-off-by: raver119 <raver119@gmail.com> * less prints Signed-off-by: raver119 <raver119@gmail.com> * minor tweaks Signed-off-by: raver119 <raver119@gmail.com> * next step Signed-off-by: raver119 <raver119@gmail.com> * conv2d NCHW draft Signed-off-by: raver119 <raver119@gmail.com> * conv2d biasAdd Signed-off-by: raver119 <raver119@gmail.com> * test for MKL/CUDNN combined use Signed-off-by: raver119 <raver119@gmail.com> * - provide additional code for conv2d ff based on cudnn api, not tested yet Signed-off-by: Yurii <iuriish@yahoo.com> * - further work on conv2d helper based on using cudnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - fixing several cuda bugs which appeared after cudnn lib had been started to use Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation of conv2d backprop op based on cudnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - implementaion of conv3d and conv3d_bp ops based on cudnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - bugs fixing in conv3d/conv3d_bp ops (cudnn in use) Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation of depthwiseConv2d (ff/bp) op based on cudnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - implementation of batchnorm ff op based on cudnn api Signed-off-by: Yurii <iuriish@yahoo.com> * - disable cudnn batchnorm temporary Signed-off-by: Yurii <iuriish@yahoo.com> * - add minor change in cmake Signed-off-by: Yurii <iuriish@yahoo.com> * engine for depthwise mkldnn Signed-off-by: raver119 <raver119@gmail.com> * couple of includes Signed-off-by: raver119 <raver119@gmail.com> * - provide permutation to cudnn batchnorm ff when format is NHWC Signed-off-by: Yurii <iuriish@yahoo.com> * lgamma fix Signed-off-by: raver119 <raver119@gmail.com> * - eliminate memory leak in two tests Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: Yurii Shyrma <iuriish@yahoo.com>
2020-01-20 19:32:46 +01:00
void Context::setTargetEngine(samediff::Engine engine) {
_engine = engine;
}
2019-06-06 14:21:15 +02:00
bool Context::hasWorkspaceProvided() {
return this->_workspace != nullptr;
}
void Context::attachWorkspace(nd4j::memory::Workspace* workspace) {
this->_workspace = workspace;
}
void Context::setVariableSpace(VariableSpace *variableSpace) {
this->_variableSpace = variableSpace;
}
void Context::forgetWorkspace() {
_workspace = nullptr;
}
std::vector<NDArray*>& Context::fastpath_in() {
return _fastpath_in;
}
std::vector<NDArray*>& Context::fastpath_out() {
return _fastpath_out;
}
bool Context::isFastPath() {
return !(_fastpath_in.empty() && _fastpath_out.empty());
}
VariableSpace *Context::getVariableSpace() {
return _variableSpace;
}
nd4j::memory::Workspace* Context::getWorkspace() {
return _workspace;
}
nd4j::memory::Workspace* Context::workspace() {
return _workspace;
}
nd4j::random::RandomBuffer* Context::getRNG() {
return _rng;
}
void Context::setRNG(nd4j::random::RandomBuffer* rng) {
_rng = rng;
}
/**
* This method returns variableSpace used in this block
* @return
*/
/*
VariableSpace* Context::getVariableSpace() {
return _variableSpace;
}
*/
Stash* Context::getStash() {
return _variableSpace->getStash();
}
void Context::trackList(NDArrayList* list) {
_variableSpace->trackList(list);
}
/*
void Block::updateVariables() {
_variables.clear();
auto x = _inputs.size();
for (auto &v:_inputs) {
auto var = _variableSpace->getVariable(v);
_variables.emplace_back(var);
}
}
*/
int Context::getBranch() {
return _variableSpace->flowPath()->branch(this->nodeId());
}
void Context::setBranch(int branch) {
//_branch = branch;
if (_variableSpace->flowPath() != nullptr)
_variableSpace->flowPath()->markBranch(this->nodeId(), branch);
}
Nd4jLong nd4j::graph::Context::getOuterTime(){
return this->_executionTime.first;
}
Nd4jLong nd4j::graph::Context::getInnerTime(){
return this->_executionTime.second;
}
void nd4j::graph::Context::setOuterTime(Nd4jLong time){
this->_executionTime.first = time;
}
void nd4j::graph::Context::setInnerTime(Nd4jLong time){
this->_executionTime.second = time;
}
Variable* Context::getVariable(int idx) {
if (idx >= this->_inputs.size()) {
nd4j_printf("Node %i; Variable [%i] requested, but only %i inputs available\n", this->_nodeId, idx, this->_inputs.size());
throw std::runtime_error("Context: bad Variable index");
}
auto p = this->_inputs[idx];
auto v = variable(p);
if (Environment::getInstance()->isDebugAndVerbose() && v != nullptr && v->getNDArray() != nullptr) {
auto array = v->getNDArray();
std::string shape_ = ShapeUtils::shapeAsString(array);
auto type = DataTypeUtils::asString(array->dataType());
float m = std::numeric_limits<float>::quiet_NaN();
if (!array->isEmpty()) {
auto values = array->asIndexedString(16);
nd4j_printf("Debug info for node_%i input[%i]; shape: %s; ews: [%i]; order: [%i]; dtype: [%s]; first values: %s\n", this->_nodeId, idx, shape_.c_str(), array->ews(), array->ordering(), type.c_str(), values.c_str());
} else {
nd4j_printf("Debug info for node_%i input[%i]; shape: %s; ews: [%i]; order: [%i]; dtype: [%s]; mean value: [%f]\n", this->_nodeId, idx, shape_.c_str(), array->ews(), array->ordering(), type.c_str(), m);
}
}
return v;
}
Variable* Context::variable(int idx) {
return getVariable(idx);
}
Variable* Context::variable(std::initializer_list<int> p) {
if (p.size() != 2)
throw std::runtime_error("Variable address should have size of 2");
// FIXME: lol
std::vector<int> vec(p);
std::pair<int, int> pair(vec[0], vec[1]);
return variable(pair);
}
Variable* Context::variable(int node, int idx) {
std::pair<int, int> pair(node, idx);
return variable(pair);
}
Variable* Context::variable(std::pair<int,int>& p) {
if (!_variableSpace->hasVariable(p)) {
nd4j_printf("Node %i; Non-existent variable requested: [%i:%i]\n", this->_nodeId, p.first, p.second);
throw std::runtime_error("Bad variable");
}
return _variableSpace->getVariable(p);
}
void Context::pushNDArrayToVariableSpace(int nodeId, int index, NDArray *array, bool removable) {
std::pair<int,int> pair(nodeId, index);
pushNDArrayToVariableSpace(pair, array, removable);
}
void Context::pushNDArrayToVariableSpace(std::pair<int, int> &pair, NDArray *array, bool removable) {
if (_variableSpace != nullptr) {
if (!_variableSpace->hasVariable(pair)) {
auto var = new Variable(array, nullptr, pair.first, pair.second);
_variableSpace->putVariable(pair, var);
var->markRemovable(removable);
} else {
auto var = _variableSpace->getVariable(pair);
if (var->hasNDArray()) {
if (var->getNDArray() != array) {
if (var->isRemovable() && var->hasNDArray())
delete var->getNDArray();
var->setNDArray(array);
var->markRemovable(removable);
}
} else {
var->setNDArray(array);
var->markRemovable(removable);
}
}
}
}
void Context::pushNDArrayListToVariableSpace(int nodeId, int index, NDArrayList* list, bool track) {
std::pair<int,int> pair(nodeId, index);
pushNDArrayListToVariableSpace(pair, list, track);
}
void Context::pushNDArrayListToVariableSpace(std::pair<int, int>& pair, NDArrayList* list, bool track) {
if (!_variableSpace->hasVariable(pair)) {
auto var = new Variable(nullptr, nullptr, pair.first, pair.second);
var->setNDArrayList(list);
_variableSpace->putVariable(pair, var);
} else {
auto var = _variableSpace->getVariable(pair);
var->setNDArrayList(list);
}
if (track)
_variableSpace->trackList(list);
}
Variable* Context::ensureVariable(int idx) {
std::pair<int, int> pair(this->nodeId(), idx);
if (_variableSpace == nullptr)
throw std::runtime_error("Context::ensureVariable VariableSpace is NULL!");
if (!_variableSpace->hasVariable(pair)) {
auto var = new Variable(nullptr, nullptr, this->nodeId(), idx);
_variableSpace->putVariable(pair, var);
return var;
} else {
return _variableSpace->getVariable(pair);
}
}
bool Context::isValueAvailable(int idx) {
auto var = ensureVariable(idx);
if (var->variableType() == VariableType::NDARRAY) {
return var->hasNDArray();
} else if (var->variableType() == VariableType::ARRAY_LIST) {
return var->hasNDArrayList();
}
return false;
}
NDArray* Context::getNDArray(int idx) {
return array(idx);
}
NDArray* Context::array(int idx) {
// we check for fastpath first
if (!_fastpath_in.empty() && _fastpath_in.size() > idx) {
return _fastpath_in[idx];
}
// if no luck for fastpath - return whatever is available
return getVariable(idx)->getNDArray();
}
nd4j::memory::Workspace *Context::fWorkspace() {
return workspace();
}
nd4j::memory::Workspace *Context::tWorkspace() {
return nullptr;
}
nd4j::memory::Workspace *Context::oWorkspace() {
return nullptr;
}
LaunchContext* Context::launchContext() {
//FIXME: we need proper context to be shared here
if (_context == nullptr) {
return LaunchContext::defaultContext();
} else {
return _context;
}
}
unsigned long Context::width() {
if (!_fastpath_in.empty())
return _fastpath_in.size();
else
return _inputs.size();
}
void Context::setInputArray(int index, NDArray *array, bool removable) {
if (_fastpath_in.size() < index + 1)
_fastpath_in.resize(index+1);
_fastpath_in[index] = array;
if (removable)
_handles.emplace_back(array);
}
void Context::setInputArray(int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
auto array = new NDArray(buffer, specialBuffer, reinterpret_cast<Nd4jLong *>(shapeInfo));
if (_fastpath_in.size() < index + 1)
_fastpath_in.resize(index+1);
_fastpath_in[index] = array;
_handles.emplace_back(array);
if (_context != nullptr)
array->setContext(_context);
}
void Context::setOutputArray(int index, NDArray *array, bool removable) {
if (_fastpath_out.size() < index + 1)
_fastpath_out.resize(index+1);
_fastpath_out[index] = array;
if (removable)
_handles.emplace_back(array);
}
void Context::setOutputArray(int index, void *buffer, void *shapeInfo, void *specialBuffer, void *specialShapeInfo) {
if (_fastpath_out.size() < index + 1)
_fastpath_out.resize(index+1);
auto array = new NDArray(buffer, specialBuffer, reinterpret_cast<Nd4jLong *>(shapeInfo));
_fastpath_out[index] = array;
_handles.emplace_back(array);
if (_context != nullptr)
array->setContext(_context);
}
String changes (#3) * initial commit * additional data types & tensor type Signed-off-by: raver119 <raver119@gmail.com> * next step Signed-off-by: raver119 <raver119@gmail.com> * missing include * sparse_to_dense Signed-off-by: raver119 <raver119@gmail.com> * few more tests files Signed-off-by: raver119 <raver119@gmail.com> * draft Signed-off-by: raver119 <raver119@gmail.com> * numeric sparse_to_dense Signed-off-by: raver119 <raver119@gmail.com> * comment Signed-off-by: raver119 <raver119@gmail.com> * string sparse_to_dense version Signed-off-by: raver119 <raver119@gmail.com> * CUDA DataBuffer expand Signed-off-by: raver119 <raver119@gmail.com> * few tweaks for CUDA build Signed-off-by: raver119 <raver119@gmail.com> * shape fn for string_split Signed-off-by: raver119 <raver119@gmail.com> * one more comment Signed-off-by: raver119 <raver119@gmail.com> * string_split indices Signed-off-by: raver119 <raver119@gmail.com> * next step Signed-off-by: raver119 <raver119@gmail.com> * test passes Signed-off-by: raver119 <raver119@gmail.com> * few rearrangements for databuffer implementations Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer: move inline methods to common implementations Signed-off-by: raver119 <raver119@gmail.com> * add native DataBuffer to Nd4j presets Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer creation Signed-off-by: raver119 <raver119@gmail.com> * use DataBuffer for allocation Signed-off-by: raver119 <raver119@gmail.com> * cpu databuffer as deallocatable Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer setters for bufers Signed-off-by: raver119 <raver119@gmail.com> * couple of wrappers Signed-off-by: raver119 <raver119@gmail.com> * DataBuffers being passed around Signed-off-by: raver119 <raver119@gmail.com> * Bunch of ByteBuffer-related signatures gone Signed-off-by: raver119 <raver119@gmail.com> * - few more Nd4j signatures removed - minor fix for bfloat16 Signed-off-by: raver119 <raver119@gmail.com> * nullptr pointer is still a pointer, but 0 as address :) Signed-off-by: raver119 <raver119@gmail.com> * one special test Signed-off-by: raver119 <raver119@gmail.com> * empty string array init Signed-off-by: raver119 <raver119@gmail.com> * one more test in cpp Signed-off-by: raver119 <raver119@gmail.com> * memcpy instead of databuffer swap Signed-off-by: raver119 <raver119@gmail.com> * special InteropDataBuffer for front-end languages Signed-off-by: raver119 <raver119@gmail.com> * few tweaks for java Signed-off-by: raver119 <raver119@gmail.com> * pointer/indexer actualization Signed-off-by: raver119 <raver119@gmail.com> * CustomOp returns list for inputArumgents and outputArguments instead of array Signed-off-by: raver119 <raver119@gmail.com> * redundant call Signed-off-by: raver119 <raver119@gmail.com> * print_variable op Signed-off-by: raver119 <raver119@gmail.com> * - view handling (but wrong one) - print_variable java wrapper Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * - empty arrays handling Signed-off-by: raver119 <raver119@gmail.com> * - deserialization works now Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * one more fix Signed-off-by: raver119 <raver119@gmail.com> * initial cuda commit Signed-off-by: raver119 <raver119@gmail.com> * print_variable message validation Signed-off-by: raver119 <raver119@gmail.com> * CUDA views Signed-off-by: raver119 <raver119@gmail.com> * CUDA special buffer size Signed-off-by: raver119 <raver119@gmail.com> * minor update to match master changes Signed-off-by: raver119 <raver119@gmail.com> * - consider arrays always actual on device for CUDA - additional PrintVariable constructor - CudaUtf8Buffer now allocates host buffer by default Signed-off-by: raver119 <raver119@gmail.com> * meh Signed-off-by: raver119 <raver119@gmail.com> * - print_variable now allows print from device Signed-off-by: raver119 <raver119@gmail.com> * InteropDataBuffer data type fix Signed-off-by: raver119 <raver119@gmail.com> * ... Signed-off-by: raver119 <raver119@gmail.com> * disable some debug messages Signed-off-by: raver119 <raver119@gmail.com> * master pulled in Signed-off-by: raver119 <raver119@gmail.com> * couple of new methods for DataBuffer interop Signed-off-by: raver119 <raver119@gmail.com> * java side Signed-off-by: raver119 <raver119@gmail.com> * offsetted constructor Signed-off-by: raver119 <raver119@gmail.com> * new CUDA deallocator Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart 2 Signed-off-by: raver119 <raver119@gmail.com> * CUDA backend torn apart 3 Signed-off-by: raver119 <raver119@gmail.com> * - few new tests - few new methods for DataBuffer management Signed-off-by: raver119 <raver119@gmail.com> * few more tests + few more tweaks Signed-off-by: raver119 <raver119@gmail.com> * two failing tests Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * two failing tests pass Signed-off-by: raver119 <raver119@gmail.com> * now we pass DataBuffer to legacy ops too Signed-off-by: raver119 <raver119@gmail.com> * Native DataBuffer for legacy ops, Java side Signed-off-by: raver119 <raver119@gmail.com> * CPU java side update Signed-off-by: raver119 <raver119@gmail.com> * CUDA java side update Signed-off-by: raver119 <raver119@gmail.com> * no more prepare/register action on java side Signed-off-by: raver119 <raver119@gmail.com> * NDArray::prepare/register use now accepts vectors Signed-off-by: raver119 <raver119@gmail.com> * InteropDataBuffer now has few more convenience methods Signed-off-by: raver119 <raver119@gmail.com> * java bindings update Signed-off-by: raver119 <raver119@gmail.com> * tick device in NativeOps Signed-off-by: raver119 <raver119@gmail.com> * Corrected usage of OpaqueBuffer for tests. * Corrected usage of OpaqueBuffer for java tests. * NativeOpsTests fixes. * print_variable now returns scalar Signed-off-by: raver119 <raver119@gmail.com> * one more test Signed-off-by: raver119 <raver119@gmail.com> * compat_string_split fix for CUDA Signed-off-by: raver119 <raver119@gmail.com> * - CUDA execScalar fix - CUDA lazyAllocateHostPointer now checks java indexer/pointer instead of native pointer Signed-off-by: raver119 <raver119@gmail.com> * legacy ops DataBuffer migration prototype Signed-off-by: raver119 <raver119@gmail.com> * ignore device shapeinfo coming from java Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> * minor transformAny fix Signed-off-by: raver119 <raver119@gmail.com> * minor tweak for lazy host allocation Signed-off-by: raver119 <raver119@gmail.com> * - DataBuffer::memcpy method - bitcast now uses memcpy Signed-off-by: raver119 <raver119@gmail.com> * - IndexReduce CUDA dimension buffer fix Signed-off-by: raver119 <raver119@gmail.com> * views for CPU and CUDA Signed-off-by: raver119 <raver119@gmail.com> * less spam Signed-off-by: raver119 <raver119@gmail.com> * optional memory init Signed-off-by: raver119 <raver119@gmail.com> * async memset Signed-off-by: raver119 <raver119@gmail.com> * - SummaryStats CUDA fix - DataBuffer.sameUnderlyingData() impl - execBroadcast fix Signed-off-by: raver119 <raver119@gmail.com> * - reduce3All fix switch to CUDA 10 temporarily Signed-off-by: raver119 <raver119@gmail.com> * CUDA version Signed-off-by: raver119 <raver119@gmail.com> * proper memory deallocator registration Signed-off-by: raver119 <raver119@gmail.com> * HOST_ONLY workspace allocation Signed-off-by: raver119 <raver119@gmail.com> * temp commit Signed-off-by: raver119 <raver119@gmail.com> * few conflicts resolved Signed-off-by: raver119 <raver119@gmail.com> * few minor fixes Signed-off-by: raver119 <raver119@gmail.com> * one more minor fix Signed-off-by: raver119 <raver119@gmail.com> * NDArray permute should operate on JVM primitives Signed-off-by: raver119 <raver119@gmail.com> * - create InteropDataBuffer for shapes as well - update pointers after view creation in Java Signed-off-by: raver119 <raver119@gmail.com> * - addressPointer temporary moved to C++ Signed-off-by: raver119 <raver119@gmail.com> * CUDA: don't account offset twice Signed-off-by: raver119 <raver119@gmail.com> * CUDA: DataBuffer pointer constructor updated Signed-off-by: raver119 <raver119@gmail.com> * CUDA NDArray.unsafeDuplication() simplified Signed-off-by: raver119 <raver119@gmail.com> * CUDA minor workspace-related fixes Signed-off-by: raver119 <raver119@gmail.com> * CPU DataBuffer.reallocate() Signed-off-by: raver119 <raver119@gmail.com> * print_affinity op Signed-off-by: raver119 <raver119@gmail.com> * print_affinity java side Signed-off-by: raver119 <raver119@gmail.com> * CUDA more tweaks for data locality Signed-off-by: raver119 <raver119@gmail.com> * - compat_string_split tweak - CudaUtf8Buffer update Signed-off-by: raver119 <raver119@gmail.com> * INDArray.close() mechanic restored Signed-off-by: raver119 <raver119@gmail.com> * one more test fixed Signed-off-by: raver119 <raver119@gmail.com> * - CUDA DataBuffer.reallocate() updated - cudaMemcpy (synchronous) restored Signed-off-by: raver119 <raver119@gmail.com> * one last fix Signed-off-by: raver119 <raver119@gmail.com> * bad import removed Signed-off-by: raver119 <raver119@gmail.com> * another small fix Signed-off-by: raver119 <raver119@gmail.com> * one special test Signed-off-by: raver119 <raver119@gmail.com> * fix bad databuffer size Signed-off-by: raver119 <raver119@gmail.com> * release primaryBuffer on replace Signed-off-by: raver119 <raver119@gmail.com> * higher timeout Signed-off-by: raver119 <raver119@gmail.com> * disable timeouts Signed-off-by: raver119 <raver119@gmail.com> * dbCreateView now validates offset and length of a view Signed-off-by: raver119 <raver119@gmail.com> * additional validation for dbExpand Signed-off-by: raver119 <raver119@gmail.com> * restore timeout back again Signed-off-by: raver119 <raver119@gmail.com> * smaller distribution for rng test to prevent timeouts Signed-off-by: raver119 <raver119@gmail.com> * CUDA DataBuffer::memcpy now copies to device all the time Signed-off-by: raver119 <raver119@gmail.com> * OpaqueDataBuffer now contains all required methods for interop Signed-off-by: raver119 <raver119@gmail.com> * some javadoc Signed-off-by: raver119 <raver119@gmail.com> * GC on failed allocations Signed-off-by: raver119 <raver119@gmail.com> * minoe memcpu tweak Signed-off-by: raver119 <raver119@gmail.com> * one more bitcast test Signed-off-by: raver119 <raver119@gmail.com> * - NDArray::deviceId() propagation - special multi-threaded test for data locality checks Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer additional syncStream Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer additional syncStream Signed-off-by: raver119 <raver119@gmail.com> * one ignored test Signed-off-by: raver119 <raver119@gmail.com> * skip host alloc for empty arrays Signed-off-by: raver119 <raver119@gmail.com> * ByteBuffer support is back Signed-off-by: raver119 <raver119@gmail.com> * DataBuffer::memcpy minor fix Signed-off-by: raver119 <raver119@gmail.com> * few minor prelu/bp tweaks Signed-off-by: raver119 <raver119@gmail.com> * nullify-related fixes Signed-off-by: raver119 <raver119@gmail.com> * PReLU fixes (#157) Signed-off-by: Alex Black <blacka101@gmail.com> * Build fixed * Fix tests * one more ByteBuffer signature restored Signed-off-by: raver119 <raver119@gmail.com> * nd4j-jdbc-hsql profiles fix Signed-off-by: raver119 <raver119@gmail.com> * nd4j-jdbc-hsql profiles fix Signed-off-by: raver119 <raver119@gmail.com> * PReLU weight init fix Signed-off-by: Alex Black <blacka101@gmail.com> * Small PReLU fix Signed-off-by: Alex Black <blacka101@gmail.com> * - INDArray.migrate() reactivated - DataBuffer::setDeviceId(...) added - InteropDataBuffer Z syncToDevice added for views Signed-off-by: raver119 <raver119@gmail.com> * missed file Signed-off-by: raver119 <raver119@gmail.com> * Small tweak Signed-off-by: Alex Black <blacka101@gmail.com> * cuda 10.2 Signed-off-by: raver119 <raver119@gmail.com> * minor fix Signed-off-by: raver119 <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com> Co-authored-by: Alex Black <blacka101@gmail.com> Co-authored-by: Alexander Stoyakin <alexander.stoyakin@gmail.com>
2020-01-04 11:27:50 +01:00
void Context::setInputArray(int index, void *vdatabuffer, void *shapeInfo, void *specialShapeInfo) {
auto dataBuffer = reinterpret_cast<InteropDataBuffer*>(vdatabuffer);
if (_fastpath_in.size() < index + 1)
_fastpath_in.resize(index+1);
NDArray *array;
if (dataBuffer != nullptr)
array = new NDArray(dataBuffer->dataBuffer(), reinterpret_cast<Nd4jLong *>(shapeInfo), nd4j::LaunchContext::defaultContext(), dataBuffer->offset() / DataTypeUtils::sizeOf(ArrayOptions::dataType(reinterpret_cast<Nd4jLong *>(shapeInfo))));
else
array = new NDArray(nullptr, nullptr, reinterpret_cast<Nd4jLong *>(shapeInfo));
_fastpath_in[index] = array;
_handles.emplace_back(array);
if (_context != nullptr)
array->setContext(_context);
}
void Context::setOutputArray(int index, void *vdatabuffer, void *shapeInfo, void *specialShapeInfo) {
auto dataBuffer = reinterpret_cast<InteropDataBuffer*>(vdatabuffer);
if (_fastpath_out.size() < index + 1)
_fastpath_out.resize(index+1);
NDArray *array;
if (dataBuffer != nullptr)
array = new NDArray(dataBuffer->dataBuffer(), reinterpret_cast<Nd4jLong *>(shapeInfo), nd4j::LaunchContext::defaultContext(), dataBuffer->offset() / DataTypeUtils::sizeOf(ArrayOptions::dataType(reinterpret_cast<Nd4jLong *>(shapeInfo))));
else
array = new NDArray(nullptr, nullptr, reinterpret_cast<Nd4jLong *>(shapeInfo));
_fastpath_out[index] = array;
_handles.emplace_back(array);
if (_context != nullptr)
array->setContext(_context);
}
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void Context::setTArguments(double *arguments, int numberOfArguments) {
_tArgs.clear();
_tArgs.reserve(numberOfArguments);
for (int e = 0; e < numberOfArguments; e++)
_tArgs.push_back(arguments[e]);
}
void Context::setIArguments(Nd4jLong *arguments, int numberOfArguments) {
_iArgs.clear();
_iArgs.reserve(numberOfArguments);
for (int e = 0; e < numberOfArguments; e++)
_iArgs.push_back(arguments[e]);
}
void Context::setBArguments(bool *arguments, int numberOfArguments) {
_bArgs.clear();
_bArgs.reserve(numberOfArguments);
for (int e = 0; e < numberOfArguments; e++)
_bArgs.push_back(arguments[e]);
}
void Context::setCudaContext(Nd4jPointer cudaStream, Nd4jPointer reductionPointer, Nd4jPointer allocationPointer) {
#ifdef __CUDABLAS__
_context = new LaunchContext(cudaStream, reductionPointer, allocationPointer);
[WIP] more CUDA stuff (#57) * initial commit Signed-off-by: raver119 <raver119@gmail.com> * Added gradcheck test for dynamic_partition_bp op. * - implementation of dilation op (cpu and cuda) Signed-off-by: Yurii <yurii@skymind.io> * Fixed broadcast_dynamic_shape 1D case and tests. * Fixed usage of default integer arguments. * Fixed dynamic_partition_bp op and tests. * Eliminated test with grad check for dynamic_partition_bp op. * start working on cuda svd - porting available corresponding api from cuSOLVER library Signed-off-by: Yurii <yurii@skymind.io> * provide prelu_bp Signed-off-by: Yurii <yurii@skymind.io> * - provide gruCell_bp (old version ??) Signed-off-by: Yurii <yurii@skymind.io> * - polishing cumsum_bp and cumprod_bp tests Signed-off-by: Yurii <yurii@skymind.io> * provide sparseSoftmaxCrossEntropyWithLogits and sparseSoftmaxCrossEntropyWithLogits_grad Signed-off-by: Yurii <yurii@skymind.io> * Fixed atomicMul with float input/output * implementation of cuda kernel for triu_bp operation Signed-off-by: Yurii <yurii@skymind.io> * Refactored lup helper to add parrallel computing. * cusolver libraries Signed-off-by: raver119 <raver119@gmail.com> * uncomment cuSolver APIs in svd.cu Signed-off-by: Yurii <yurii@skymind.io> * cusolver var Signed-off-by: raver119 <raver119@gmail.com> * - further work on cuSolver svd Signed-off-by: Yurii <yurii@skymind.io> * Implement usage of cuda solver to LUP decomposition. * - correct naames in lup functions Signed-off-by: Yurii <yurii@skymind.io> * correct svdQR cuda Signed-off-by: Yurii <yurii@skymind.io> * - provide transpositions of input matrices in case of c order in svdCudaQR Signed-off-by: Yurii <yurii@skymind.io> * Fixed implementation issues with LUP usign cuda solver. * Implementation of matrix_determinant helper with cuda kernels. Working revision. * Implemented log_matrix_determinant helper with cuda kernels. * - implementation of batched cuda svd Signed-off-by: Yurii <yurii@skymind.io> * Refactored cholesky helper and implementation of cuda solver cholesky batch. * - implementation of cuda kernel for tile bp Signed-off-by: Yurii <yurii@skymind.io> * Implementation of cholesky and logdet with cuda kernels. * - implementation of cuda kernel for sru_bidirectional Signed-off-by: Yurii <yurii@skymind.io> * Fixed cholesky helper. * Cholesky op helper implementation. Working double-based cublas implementation. * bad import excluded Signed-off-by: raver119 <raver119@gmail.com> * Finished with cuda implementation of cholesky helper and tests. * - implementation of cuda kernel for sru_bidirectional_backprop operation Signed-off-by: Yurii <yurii@skymind.io> * Implementation of matrix_inverse op helper with cuda kernels. The first revision. * - start working on gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * Implementation of matrix_inverse helper. * - further work on new gruCell_bp Signed-off-by: Yurii <yurii@skymind.io> * cuBLAS related fixes Signed-off-by: raver119 <raver119@gmail.com> * calculateOutputShapes() now passes device buffers as well Signed-off-by: raver119 <raver119@gmail.com> * special concat/average/accumulate init host pointers now Signed-off-by: raver119 <raver119@gmail.com> * few more tweaks Signed-off-by: raver119 <raver119@gmail.com> * additional CudaDataBufferFactory signatures certain for data types Signed-off-by: raver119 <raver119@gmail.com> * cuSolver host buffer Signed-off-by: raver119 <raver119@gmail.com> * buffer to buffer memcpy host ptr allocation Signed-off-by: raver119 <raver119@gmail.com>
2019-07-12 10:51:51 +02:00
// FIXME: either pass handle from outside, or make sure outside we use the same handle
_context->setCublasHandle(LaunchContext::defaultContext()->getCublasHandle());
2019-06-06 14:21:15 +02:00
for (auto v: _fastpath_out)
v->setContext(_context);
for (auto v: _fastpath_in)
v->setContext(_context);
#endif
}
void Context::allowHelpers(bool reallyAllow) {
_helpersAllowed = reallyAllow;
}
bool Context::helpersAllowed() {
return _helpersAllowed;
}
void Context::setTArguments(const std::vector<double> &tArgs) {
for (auto t:tArgs)
_tArgs.emplace_back(t);
}
void Context::setIArguments(const std::vector<Nd4jLong> &iArgs) {
for (auto i:iArgs)
_iArgs.emplace_back(i);
}
void Context::setBArguments(const std::vector<bool> &bArgs) {
for (auto b:bArgs)
_bArgs.push_back(b);
}
void Context::setShapeFunctionOverride(bool reallyOverride) {
_shapeFunctionOverride = reallyOverride;
}
bool Context::shapeFunctionOverride() {
return _shapeFunctionOverride;
}
2019-06-06 14:21:15 +02:00
}
}