cavis/libnd4j/include/helpers/cuda/ConstantShapeHelper.cu
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Legacy API changes (#441)
* initial commit

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* another initial commit

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* another initial commit

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* one more initial commit

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* next step

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* next step

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* next step

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* next step

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* Refactored buffer() and shapeInfo() methods usage with NDArray class.

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* Adopt Graph class methods to use const shapes.

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* Adopt choose op to use constant shapes.

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* Adopt where op shape method to use constant shapes.

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* Adopt lstsq op to use constant empty shapes.

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* Adopt matrix_diag_part op shape routine to use constant shapes.

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* Adopt determinant ops to use constant shapes.

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* Adopt mean_pairwssqerr_loss ops to use constant shapes.

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* Adopt ops shape methods.

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* Adopt shape methods for loss ops.

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* Adopt log_loss op shape method.

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* Adopt shape methods for ops.

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* Adopt dilation2d ops shape methods.

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* Adopted deconv2d ops shape methods.

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* Adopted dynamicRNN op shape method.

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* Adopted shape methods for ops.

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* Adopted shape methods for lstm layer ops.

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* few updates

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* first cuda tweak

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* Adopt constant shapes for sconv2d ops.

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* Adopt constant shapes for gru ops.

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* Adopt constant shapes with shape methods for segment ops and so on.

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* Adopted constant shapes with unsorted_segment_* ops.

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* Adopted constant shapes with gamma op shape method.

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* Adopted shape methods of reduce_stddev ops.

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* Adopted shape methods for reduce_* ops.

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* Adopt shape method for squeeze op.

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* Adopt strided_slice shape method.

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* Refactored concat op shape method to adopt constant shapes.

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* Adopted shape method for mirror_pad op.

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* Adopted split op shape method.

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* Adopted tile ops shape methods.

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* Added const cast for mkldnn routines handles.

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* Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts.

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* Cosmetic changes to proper usage of constant pointers.

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* Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option.

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* Refactored depthToSpace helpers.

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* Refactored histogram helpers.

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* Refactored im2col helpers.

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* Refactored gather and gatherND helpers.

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* Fixed buffer usage on percentile helper.

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* Fixed gather shape with helpers and range buffer usage.

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* Fixed buffer usage with space to depth helpers.

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* Fixed buffer usage and constant shapes.

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* Fixed buffer usage with LUP decomposition>

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* Refactored onehot_ helper.

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* Refactored pad and prefix to use constant shapes.

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* Refactoed softmax helpers.

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* Fixed space to batch helpers to use buffers properly.

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* Fixed stack and split helpers.

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* Fixed buffer usage with sparse to dense helpers.

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* Fixed buffer usage with mindistance_ helpers.

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* Fixed buffer usage with tile helper.

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* Fixed constant shape usage.

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* Fixed constant shape usage with legacy pairwise bool ops.

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* Refactored a couple of methods to adopt constant shape usage.

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* Fixed broadcasting with constant shape."

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* Fixed const usage with inplace reverse and constant shapes with legacy reduction.

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* Refactored legacy ops with const shapes.

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* Refactored sort to adopt constant shapes.

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* Corrected sort for constant shape usage.

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* Fixed constant shape usage with special methods.

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* Refactored Context to conform with constant shape usage.

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* CUDA broadcasting headers

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* pairwise/indexreduce/random headers

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* Refactored native ops to adopt constant shapes.

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* legacy reduce3/scalar headers

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* Corrected pullRow signature and tests.

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* Corrected routines to proper use of constant shapes.

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* Refactored tests to use constant shapes properly.

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* Refactored legacy ops tests to use constant shapes properly.

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* Refactored buffer usage with NDArray tests.

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* Fixed native ops tests.

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* Fixed special concat routine.

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* Fixed buffer usage with test.

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* Fixed buffer usage with a test.

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* Refactored TAD.h and tests.

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* Refactored calcStrides* routines to use constant shapes.

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* Fixed miscelaneous errors with constant shapes.

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* NativeOps const changes

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* Corrected definitions for declared functions.

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* NativeOps const changes

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* few more const changes

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* Fixed const shapes with shape routines.

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* few more const changes

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* Fixed shape method for broadcastable case.

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* few more const changes

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* xw_plus_b BP shape fn restored

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* Fixed signatures with broadcasting.

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* Repaired backprops shape methods for a set of operations.

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* Refactored broadcast bool for cuda.

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* Refactored methods for 3 args with const qualifier.

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* Fixed a couple of kernel signatures for broadcasting.

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* Fixed kernels signatures for const buffers and shapes.

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* Refactored pairwise methods to persistent buffers and shapes usage.

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* Adopt const to buffers and shapes with kernels.

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* Adopt const to buffers and shapes with scalar kernels.

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* Refactored indexreduce kernels signatures to use const buffers and shapes.

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* Refactored pairwise kernels to adopt cons shapes and buffers.

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* Refactored pairwise bool kernels to adopt cons shapes and buffers.

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* Refactored random special ops to conform with const shapes and buffers.

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* Refactored native ops to conform with const shapes and buffers under cuda platform.

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* Cosmetical changes only.

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* Fixed const shapes and buffers error.

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* Corrected start pos routine.

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* Refactored methods to conform with const shapes and buffers.

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* Refactored helpers to use proper methods instead.

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* bunch of changes

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* next bunch of changes

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* next bunch of changes

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* Fixed execScalar declaration.

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* Fixed execScalar declaration.

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* Corrected const shape cases with sort and so on.

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* Fixed const shapes for sort.

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* Refactored kernel declarations to adopt const shapes.

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* Fixed kernels declarations to adopt const shapes.

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* Corrected kernel declarations to adopt const shapes and buffers.

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* Fixed kernels declarations to adopt const shapes.

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* Fixed segment helpers kernels declarations and so on to adopt const shapes.

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* Fixed const shape usage with segment and solve helpers.

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* Fixed kernel declaration with adjustWeight helper.

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* Fixed cuda implementations for constant shape helpers.

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* Adopted const shape usage with kernels.

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* Adopted top_k kernels to use const shapes and buffers.

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* Corrected kernels declarations to adopt const shapes with helpers.

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* Refactored NDArray definitions to adopt const shapes and buffers.

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* Fixed const shapes with image suppression helpers.

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* Slight improvement with buffers.

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* Refactored buffer usage.

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* Refactored buffer usage with tests.

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* Fixed const shape usage with definitions.

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* minor updates on cpu side

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* Refactored const shape usage with ConstantDescritor and native ops with cuda platform.

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* Refactored tear and tile kernels to adopt with const shapes.

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* softmax_loop fix

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* update missing signature

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* softmax again

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* few more missing consts

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* new methods updated

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Co-authored-by: shugeo <sgazeos@gmail.com>
2020-05-09 08:06:14 +03:00

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/*******************************************************************************
* 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 "../ConstantShapeHelper.h"
#include <exceptions/cuda_exception.h>
#include <array/ShapeDescriptor.h>
#include <helpers/ShapeBuilders.h>
#include <execution/AffinityManager.h>
#include <helpers/ConstantHelper.h>
namespace sd {
ConstantShapeHelper::ConstantShapeHelper() {
auto numDevices = AffinityManager::numberOfDevices();
_cache.resize(numDevices);
for (int e = 0; e < numDevices; e++) {
MAP_IMPL<ShapeDescriptor, ConstantDataBuffer> cache;
_cache[e] = cache;
}
}
ConstantShapeHelper* ConstantShapeHelper::getInstance() {
if (!_INSTANCE)
_INSTANCE = new ConstantShapeHelper();
return _INSTANCE;
}
ConstantDataBuffer ConstantShapeHelper::bufferForShapeInfo(sd::DataType dataType, char order, const std::vector<Nd4jLong> &shape) {
ShapeDescriptor descriptor(dataType, order, shape);
return bufferForShapeInfo(descriptor);
}
ConstantDataBuffer ConstantShapeHelper::bufferForShapeInfo(const sd::DataType dataType, const char order, const int rank, const Nd4jLong* shape) {
ShapeDescriptor descriptor(dataType, order, shape, rank);
return bufferForShapeInfo(descriptor);
}
ConstantDataBuffer ConstantShapeHelper::bufferForShapeInfo(const ShapeDescriptor &descriptor) {
int deviceId = AffinityManager::currentDeviceId();
std::lock_guard<std::mutex> lock(_mutex);
if (_cache[deviceId].count(descriptor) == 0) {
auto hPtr = descriptor.toShapeInfo();
auto dPtr = ConstantHelper::getInstance()->replicatePointer(hPtr, shape::shapeInfoByteLength(hPtr));
ConstantDataBuffer buffer(hPtr, dPtr, shape::shapeInfoLength(hPtr) * sizeof(Nd4jLong), DataType::INT64);
ShapeDescriptor descriptor1(descriptor);
_cache[deviceId][descriptor1] = buffer;
return _cache[deviceId][descriptor1];
} else {
return _cache[deviceId].at(descriptor);
}
}
ConstantDataBuffer ConstantShapeHelper::bufferForShapeInfo(const Nd4jLong *shapeInfo) {
ShapeDescriptor descriptor(shapeInfo);
return bufferForShapeInfo(descriptor);
}
bool ConstantShapeHelper::checkBufferExistenceForShapeInfo(ShapeDescriptor &descriptor) {
auto deviceId = AffinityManager::currentDeviceId();
std::lock_guard<std::mutex> lock(_mutex);
return _cache[deviceId].count(descriptor) != 0;
}
Nd4jLong const* ConstantShapeHelper::createShapeInfo(const sd::DataType dataType, const char order, const int rank, const Nd4jLong* shape) {
ShapeDescriptor descriptor(dataType, order, shape, rank);
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::createShapeInfo(const sd::DataType dataType, const Nd4jLong* shapeInfo) {
return ConstantShapeHelper::createShapeInfo(dataType, shape::order(shapeInfo), shape::rank(shapeInfo), shape::shapeOf(const_cast<Nd4jLong*>(shapeInfo)));
}
Nd4jLong const* ConstantShapeHelper::emptyShapeInfo(const sd::DataType dataType) {
auto descriptor = ShapeDescriptor::emptyDescriptor(dataType);
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::scalarShapeInfo(const sd::DataType dataType) {
auto descriptor = ShapeDescriptor::scalarDescriptor(dataType);
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::vectorShapeInfo(const Nd4jLong length, const sd::DataType dataType) {
auto descriptor = ShapeDescriptor::vectorDescriptor(length, dataType);
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::createShapeInfo(const sd::DataType dataType, const char order, const std::vector<Nd4jLong> &shape) {
ShapeDescriptor descriptor(dataType, order, shape);
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::createShapeInfo(const ShapeDescriptor &descriptor) {
return bufferForShapeInfo(descriptor).primaryAsT<Nd4jLong>();
}
Nd4jLong const* ConstantShapeHelper::createFromExisting(Nd4jLong *shapeInfo, bool destroyOriginal) {
ShapeDescriptor descriptor(shapeInfo);
auto result = createShapeInfo(descriptor);
if (destroyOriginal)
RELEASE(shapeInfo, nullptr);
return result;
}
Nd4jLong const* ConstantShapeHelper::createFromExisting(Nd4jLong *shapeInfo, sd::memory::Workspace *workspace) {
ShapeDescriptor descriptor(shapeInfo);
auto result = createShapeInfo(descriptor);
RELEASE(shapeInfo, workspace);
return result;
}
////////////////////////////////////////////////////////////////////////
ConstantDataBuffer ConstantShapeHelper::createShapeInfoWithUnitiesForBroadcast(const Nd4jLong* maxShapeInfo, const Nd4jLong* minShapeInfo, sd::memory::Workspace* workspace, const std::vector<int>& dimensions) {
Nd4jLong* newShapeInfo = nullptr;
ALLOCATE(newShapeInfo, workspace, shape::shapeInfoLength(shape::rank(maxShapeInfo)), Nd4jLong);
newShapeInfo[0] = shape::rank(maxShapeInfo);
sd::ArrayOptions::copyDataType(newShapeInfo, minShapeInfo); // type
newShapeInfo[2 * newShapeInfo[0] + 2] = shape::elementWiseStride(minShapeInfo); // ews
newShapeInfo[2 * newShapeInfo[0] + 3] = shape::order(minShapeInfo); // order
if(!dimensions.empty()) {
for(uint k = 0, j = 0, i = 0; i < shape::rank(maxShapeInfo); ++i) {
if(j < dimensions.size() && dimensions[j] == i) {
shape::shapeOf(newShapeInfo)[i] = shape::shapeOf(minShapeInfo)[k];
shape::stride(newShapeInfo)[i] = shape::stride(minShapeInfo)[k++];
++j;
}
else{
shape::shapeOf(newShapeInfo)[i] = 1;
shape::stride(newShapeInfo)[i] = 0;
if(shape::sizeAt(minShapeInfo, k) == 1 && dimensions.size() != shape::rank(minShapeInfo))
++k;
}
}
}
else{
for(int j = shape::rank(minShapeInfo) - 1, i = shape::rank(maxShapeInfo) - 1; i >=0 ; --i) {
if(j >= 0) {
shape::shapeOf(newShapeInfo)[i] = shape::shapeOf(minShapeInfo)[j];
shape::stride(newShapeInfo)[i] = shape::shapeOf(minShapeInfo)[j] == 1 ? 0 : shape::stride(minShapeInfo)[j];
--j;
}
else {
shape::shapeOf(newShapeInfo)[i] = 1;
shape::stride(newShapeInfo)[i] = 0;
}
}
}
ShapeDescriptor descriptor(newShapeInfo);
RELEASE(newShapeInfo, workspace);
return bufferForShapeInfo(descriptor);
}
sd::ConstantShapeHelper* sd::ConstantShapeHelper::_INSTANCE = 0;
}