cavis/libnd4j/include/legacy/cpu/NativeOpExecutioner.cpp
raver119 320924278d
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

1422 lines
70 KiB
C++

/*******************************************************************************
* 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
******************************************************************************/
#include <vector>
#include <system/pointercast.h>
#include "legacy/NativeOpExecutioner.h"
#include <types/types.h>
#include <helpers/LoopKind.h>
#include <loops/pairwise_bool.h>
#include <loops/broadcasting_bool.h>
#include <loops/scalar_bool.h>
#include <loops/pairwise_int.h>
#include <loops/broadcasting_int.h>
#include <loops/scalar_int.h>
#include <loops/transform_float.h>
#include <loops/transform_bool.h>
#include <loops/transform_any.h>
#include <loops/transform_same.h>
#include <loops/transform_strict.h>
#include <loops/reduce_float.h>
#include <loops/reduce_same.h>
#include <loops/reduce_bool.h>
#include <loops/reduce_long.h>
#include <loops/broadcasting.h>
#include <loops/indexreduce.h>
#include <loops/pairwise_transform.h>
#include <loops/reduce_float.h>
#include <loops/reduce3.h>
#include <loops/summarystatsreduce.h>
#include <loops/transform_same.h>
#include <loops/scalar.h>
#include <loops/random.h>
#include <system/pointercast.h>
#include <exceptions/datatype_exception.h>
#include <array/TadPack.h>
#include <helpers/ConstantTadHelper.h>
#ifdef _OPENMP
#include <omp.h>
#include <helpers/ConstantTadHelper.h>
#endif
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
*/
void NativeOpExecutioner::execIndexReduceScalar(sd::LaunchContext *lc, int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
auto hz = reinterpret_cast<Nd4jLong*>(hZ);
BUILD_DOUBLE_SELECTOR(xType, zType, hz[0] = functions::indexreduce::IndexReduce, ::execScalar(opNum,hX,hXShapeInfo,extraParams), LIBND4J_TYPES, INDEXING_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
* @param dimension
* @param dimensionLength
*/
void NativeOpExecutioner::execIndexReduce(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
auto hz = reinterpret_cast<Nd4jLong*>(hZ);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::indexreduce::IndexReduce, ::exec(opNum, hX, hXShapeInfo, extraParams, hz, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets), LIBND4J_TYPES, INDEXING_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param hY
* @param hYShapeInfo
* @param hZ
* @param hZShapeInfo
* @param dimension
* @param dimensionLength
*/
void NativeOpExecutioner::execBroadcast(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
#else
auto loopKind = sd::LoopKind::deduceKindOfLoopBroadcast(hXShapeInfo, hYShapeInfo, hZShapeInfo);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, loopKind, start, stop), LIBND4J_TYPES);
};
Nd4jLong numTads = 0;
switch (loopKind) {
case sd::LoopKind::BROADCAST_SCALAR_X: {
numTads = shape::length(hXShapeInfo);
}
break;
case sd::LoopKind::BROADCAST_SCALAR_Y: {
numTads = shape::length(hYShapeInfo);
}
break;
case sd::LoopKind::BROADCAST_3D: {
numTads = shape::sizeAt(hZShapeInfo, 0);
}
break;
case sd::LoopKind::BROADCAST_4D: {
numTads = shape::sizeAt(hZShapeInfo, 0) * shape::sizeAt(hZShapeInfo, 1);
}
break;
case sd::LoopKind::BROADCAST_5D: {
numTads = shape::sizeAt(hZShapeInfo, 0) * shape::sizeAt(hZShapeInfo, 1);
}
break;
default: {
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
numTads = xLen / yLen;
}
}
samediff::Threads::parallel_tad(func, 0, numTads);
#endif
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execBroadcast(sd::LaunchContext* lc, const int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo), LIBND4J_TYPES, LIBND4J_TYPES);
#else
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo), LIBND4J_TYPES);
#endif
}
void NativeOpExecutioner::execInverseBroadcast(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (!sd::Environment::getInstance()->isExperimentalBuild())
if ((yType != xType && yType != sd::DataType::BOOL) || xType != zType)
throw sd::datatype_exception::build("NativeOps::execBroadcast both operands must have same data type", xType, yType);
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::broadcast::Broadcast, ::execInverse(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
#else
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::broadcast::Broadcast, ::execInverse(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, start, stop), LIBND4J_TYPES);
};
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
auto numTads = yLen / xLen;
samediff::Threads::parallel_tad(func, 0, numTads);
#endif
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execBroadcastBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
auto numTads = xLen / yLen;
samediff::Threads::parallel_tad(func, 0, numTads);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execBroadcastBool(sd::LaunchContext* lc, const int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams) {
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams), LIBND4J_TYPES, BOOL_TYPES);
}
void NativeOpExecutioner::execInverseBroadcastBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (!sd::Environment::getInstance()->isExperimentalBuild())
if (yType != xType || sd::DataType::BOOL != zType)
throw sd::datatype_exception::build("NativeOps::execInverseBroadcastBool both operands must have same data type", xType, yType);
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::broadcast::BroadcastBool, ::execInverse(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
auto numTads = yLen / xLen;
samediff::Threads::parallel_tad(func, 0, numTads);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execBroadcastInt(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execBroadcastInt", zType, xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execBroadcastInt requires integer data type", zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, start, stop), INTEGER_TYPES);
};
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
auto numTads = xLen / yLen;
samediff::Threads::parallel_tad(func, 0, numTads);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execBroadcastInt(sd::LaunchContext *lc, const int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execBroadcastInt", zType, xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execBroadcastInt requires integer data type", zType);
BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo), INTEGER_TYPES);
}
void NativeOpExecutioner::execInverseBroadcastInt(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadOnlyShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadOnlyShapeInfoZ,const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execInverseBroadcastInt", zType, xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execInverseBroadcastInt requires integer data type", zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::broadcast::BroadcastInt,::execInverse(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadOnlyShapeInfo, tadOffsets, tadOnlyShapeInfoZ, tadOffsetsZ, start, stop), INTEGER_TYPES);
};
auto xLen = shape::length(hXShapeInfo);
auto yLen = shape::length(hYShapeInfo);
auto numTads = yLen / xLen;
samediff::Threads::parallel_tad(func, 0, numTads);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param xStride
* @param hY
* @param yStride
* @param hZ
* @param resultStride
* @param extraParams
* @param n
*/
void NativeOpExecutioner::execPairwiseTransform(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::pairwise_transforms::PairWiseTransform, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams), LIBND4J_TYPES, LIBND4J_TYPES);
#else
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::pairwise_transforms::PairWiseTransform,
::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams, start, stop),
LIBND4J_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
#endif
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execPairwiseBoolTransform(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (xType != yType)
throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseBoolTransform", xType, yType);
if (zType != sd::DataType::BOOL)
throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseBoolTransform", sd::DataType::BOOL, zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::pairwise_transforms::PairWiseBoolTransform, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execPairwiseIntTransform(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hYShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hYShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execPairwiseIntTransform", zType, xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execSPairwiseInt requires integer data type", zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::pairwise_transforms::PairWiseIntTransform, ::exec(opNum, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraParams, start, stop), INTEGER_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
*/
void NativeOpExecutioner::execReduceFloat(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
// nothing to do here if result is empty
if (shape::isEmpty(hZShapeInfo))
return;
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceFloatFunction, ::exec(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, start, stop), LIBND4J_TYPES, FLOAT_TYPES);
};
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopTadXZ(hXShapeInfo, hZShapeInfo, tadShapeInfo);
samediff::Threads::parallel_tad(func, 0, shape::length(hZShapeInfo), 1, kindOfLoop == sd::LoopKind::Kind::SMALLARR2DX ? 1 : sd::Environment::getInstance()->maxMasterThreads());
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceSame(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
// nothing to do here if result is empty
if (shape::isEmpty(hZShapeInfo))
return;
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::reduce::ReduceSameFunction, ::exec(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, start, stop), LIBND4J_TYPES);
};
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopTadXZ(hXShapeInfo, hZShapeInfo, tadShapeInfo);
samediff::Threads::parallel_tad(func, 0, shape::length(hZShapeInfo), 1, kindOfLoop == sd::LoopKind::Kind::SMALLARR2DX ? 1 : sd::Environment::getInstance()->maxMasterThreads());
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
// nothing to do here if result is empty
if (shape::isEmpty(hZShapeInfo))
return;
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceBoolFunction, ::exec(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopTadXZ(hXShapeInfo, hZShapeInfo, tadShapeInfo);
samediff::Threads::parallel_tad(func, 0, shape::length(hZShapeInfo), 1, kindOfLoop == sd::LoopKind::Kind::SMALLARR2DX ? 1 : sd::Environment::getInstance()->maxMasterThreads());
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceLong(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
// nothing to do here if result is empty
if (shape::isEmpty(hZShapeInfo))
return;
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceLongFunction, ::exec(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, start, stop), LIBND4J_TYPES, LONG_TYPES);
};
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopTadXZ(hXShapeInfo, hZShapeInfo, tadShapeInfo);
samediff::Threads::parallel_tad(func, 0, shape::length(hZShapeInfo), 1, kindOfLoop == sd::LoopKind::Kind::SMALLARR2DX ? 1 : sd::Environment::getInstance()->maxMasterThreads());
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @return
*/
void NativeOpExecutioner::execReduceFloatScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceFloatFunction, ::execScalar(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo), LIBND4J_TYPES, FLOAT_TYPES);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceSameScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
BUILD_SINGLE_SELECTOR(xType, functions::reduce::ReduceSameFunction, ::execScalar(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo), LIBND4J_TYPES);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceBoolScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceBoolFunction, ::execScalar(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo), LIBND4J_TYPES, BOOL_TYPES);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduceLongScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce::ReduceLongFunction, ::execScalar(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo), LIBND4J_TYPES, LONG_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParamsVals
* @param hY
* @param hYShapeInfo
* @param hZ
* @param hZShapeInfo
* @param dimension
* @param dimensionLength
*/
void NativeOpExecutioner::execReduce3Scalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParamsVals,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::execScalar(opNum, hX, hXShapeInfo, extraParamsVals, hY, hYShapeInfo, hZ, hZShapeInfo), LIBND4J_TYPES, FLOAT_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParamsVals
* @param hY
* @param hYShapeInfo
* @param hZ
* @param hZShapeInfo
*/
void NativeOpExecutioner::execReduce3(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParamsVals,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
//BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::exec(opNum, hX, hXShapeInfo, extraParamsVals, hY, hYShapeInfo, hZ, hZShapeInfo, nullptr, 0), LIBND4J_TYPES, FLOAT_TYPES);
NativeOpExecutioner::execReduce3Scalar(lc, opNum, hX, hXShapeInfo, dX, dXShapeInfo, extraParamsVals, hY, hYShapeInfo, dY, dYShapeInfo, hZ, hZShapeInfo, dZ, dZShapeInfo);
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduce3(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParamsVals,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadOnlyShapeInfo, const Nd4jLong *xTadOffsets,
const Nd4jLong *yTadOnlyShapeInfo, const Nd4jLong *yTadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
const auto xLen = shape::length(hXShapeInfo);
const auto yLen = shape::length(hYShapeInfo);
sd::TadPack tadPack;
if(xLen == yLen) {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
}
else if(yLen > xLen) {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hYShapeInfo, dimension, dimensionLength);
}
else {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
}
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::exec(opNum, hX, hXShapeInfo, extraParamsVals, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, start, stop), LIBND4J_TYPES, FLOAT_TYPES);
};
samediff::Threads::parallel_tad(func, 0, tadPack.numberOfTads());
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduce3All(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParamsVals,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *xTadShapeInfo, const Nd4jLong *xOffsets,
const Nd4jLong *yTadShapeInfo, const Nd4jLong *yOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
// TODO: make it 2d
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::execAll(opNum, hX, hXShapeInfo, extraParamsVals, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, xTadShapeInfo, xOffsets, yTadShapeInfo, yOffsets, start, stop), LIBND4J_TYPES, FLOAT_TYPES);
};
samediff::Threads::parallel_tad(func, 0, tadPack.numberOfTads());
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execReduce3TAD(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParamsVals,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *yTadShapeInfo, const Nd4jLong *yTadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
const auto xLen = shape::length(hXShapeInfo);
const auto yLen = shape::length(hYShapeInfo);
sd::TadPack tadPack;
if(xLen == yLen) {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
}
else if(yLen > xLen) {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hYShapeInfo, dimension, dimensionLength);
}
else {
tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(hXShapeInfo, dimension, dimensionLength);
}
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::reduce3::Reduce3, ::exec(opNum, hX, hXShapeInfo, extraParamsVals, hY, hYShapeInfo, hZ, hZShapeInfo, dimension, dimensionLength, tadShapeInfo, tadOffsets, start, stop), LIBND4J_TYPES, FLOAT_TYPES);
};
samediff::Threads::parallel_tad(func, 0, tadPack.numberOfTads());
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param xStride
* @param hZ
* @param resultStride
* @param scalar
* @param extraParams
* @param n
*/
void NativeOpExecutioner::execScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
const void *hScalar, const Nd4jLong *hScalarShapeInfo,
const void *dScalar, const Nd4jLong *dScalarShapeInfo,
void *extraParams,
bool allowParallelism) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
return;
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::scalar::ScalarTransform, ::transform(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, hScalar, extraParams), LIBND4J_TYPES, LIBND4J_TYPES);
#else
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalar", zType, xType, yType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::scalar::ScalarTransform,::transform(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, hScalar, extraParams, start, stop), LIBND4J_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, !allowParallelism ? 1 : sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
#endif
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalar(sd::LaunchContext *lc,
int opNum,
void const* hX, Nd4jLong const*hXShapeInfo,
void const* dX, Nd4jLong const*dXShapeInfo,
void *extraParams,
void *hZ, Nd4jLong const*hZShapeInfo,
void *dZ, Nd4jLong const*dZShapeInfo,
void const* hScalars, Nd4jLong const*hScalarShapeInfo,
void const* dScalars, Nd4jLong const*dScalarShapeInfo,
int *dimension, int dimensionLength,
Nd4jLong const*tadShapeInfo, Nd4jLong const*tadOffsets,
Nd4jLong const*tadShapeInfoZ, Nd4jLong const*tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
return;
#ifdef __ND4J_EXPERIMENTAL__
BUILD_PAIRWISE_SELECTOR(xType, yType, zType, functions::scalar::ScalarTransform, ::transform(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, hScalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ), LIBND4J_TYPES, LIBND4J_TYPES);
#else
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalar", zType, xType, yType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR_THRICE(xType, functions::scalar::ScalarTransform, ::transform(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, hScalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ, start, stop), LIBND4J_TYPES);
};
auto yLen = shape::length(hScalarShapeInfo);
samediff::Threads::parallel_tad(func, 0, yLen, 1, sd::math::nd4j_min<int>(yLen, sd::Environment::getInstance()->maxMasterThreads()));
#endif
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalarBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
const void *hScalar, const Nd4jLong *hSscalarShapeInfo,
const void *dScalar, const Nd4jLong *dSscalarShapeInfo,
void *extraParams,
bool allowParallelism) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hSscalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hSscalarShapeInfo))
return;
if (xType != yType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarBool", xType, yType);
if (zType != sd::DataType::BOOL)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarBool", sd::DataType::BOOL, zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::scalar::ScalarBoolTransform, ::transform(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, hScalar, extraParams, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, !allowParallelism ? 1 : sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalarBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
const void *hScalars, const Nd4jLong *hScalarShapeInfo,
const void *dScalars, const Nd4jLong *dScalarShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
return;
if (xType != yType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarBool", xType, yType);
if (zType != sd::DataType::BOOL)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarBool", sd::DataType::BOOL, zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::scalar::ScalarBoolTransform, ::transform(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, hScalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ, start, stop), LIBND4J_TYPES, BOOL_TYPES);
};
auto yLen = shape::length(hScalarShapeInfo);
samediff::Threads::parallel_tad(func, 0, yLen, 1, sd::math::nd4j_min<int>(yLen, sd::Environment::getInstance()->maxMasterThreads()));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalarInt(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
const void *hScalar, const Nd4jLong *hSscalarShapeInfo,
const void *dScalar, const Nd4jLong *dSscalarShapeInfo,
void *extraParams,
bool allowParallelism) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hSscalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hSscalarShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarInt", xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarInt", sd::DataType::INT32, zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::scalar::ScalarIntTransform, ::transform(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, hScalar, extraParams, start, stop), INTEGER_TYPES);
};
auto zLen = shape::length(hZShapeInfo);
samediff::Threads::parallel_for(func, 0, zLen, 1, !allowParallelism ? 1 : sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(zLen / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execScalarInt(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
const void *hScalars, const Nd4jLong *hScalarShapeInfo,
const void *dScalars, const Nd4jLong *dScalarShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
const Nd4jLong *tadShapeInfoZ, const Nd4jLong *tadOffsetsZ) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto yType = sd::ArrayOptions::dataType(hScalarShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo) || shape::isEmpty(hScalarShapeInfo))
return;
if (xType != yType || xType != zType)
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarInt", xType, yType);
if (!sd::DataTypeUtils::isZ(zType))
throw sd::datatype_exception::build("NativeOpExecutioner::execScalarInt requires integer data type", zType);
auto func = PRAGMA_THREADS_FOR {
BUILD_SINGLE_SELECTOR(xType, functions::scalar::ScalarIntTransform, ::transform(opNum, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, hScalars, dimension, dimensionLength, tadShapeInfo, tadOffsets, tadShapeInfoZ, tadOffsetsZ, start, stop), INTEGER_TYPES);
};
auto yLen = shape::length(hScalarShapeInfo);
samediff::Threads::parallel_tad(func, 0, yLen, 1, sd::math::nd4j_min<int>(yLen, sd::Environment::getInstance()->maxMasterThreads()));
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
*/
void NativeOpExecutioner::execSummaryStats(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
bool biasCorrected) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::exec(opNum, biasCorrected, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, nullptr, 1), LIBND4J_TYPES, FLOAT_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
*/
void NativeOpExecutioner::execSummaryStatsScalar(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
bool biasCorrected) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::execScalar(opNum, biasCorrected, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo), LIBND4J_TYPES, FLOAT_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param hXShapeInfo
* @param extraParams
* @param hZ
* @param hZShapeInfo
* @param dimension
* @param dimensionLength
*/
void NativeOpExecutioner::execSummaryStats(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *extraParams,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
int *dimension, int dimensionLength,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
bool biasCorrected) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_DOUBLE_SELECTOR(xType, zType, functions::summarystats::SummaryStatsReduce, ::exec(opNum, biasCorrected, hX, hXShapeInfo, extraParams, hZ, hZShapeInfo, dimension, dimensionLength), LIBND4J_TYPES, FLOAT_TYPES);
}
////////////////////////////////////////////////////////////////////////
/**
*
* @param opNum
* @param hX
* @param xStride
* @param hZ
* @param resultStride
* @param extraParams
* @param n
*/
void NativeOpExecutioner::execTransformFloat(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo))
return;
auto func = PRAGMA_THREADS_DO {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformFloat, ::exec(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, extraParams, thread_id, numThreads), LIBND4J_TYPES, FLOAT_TYPES);
};
samediff::Threads::parallel_do(func, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(shape::length(hZShapeInfo) / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execTransformBool(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo))
return;
auto func = PRAGMA_THREADS_DO {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformBool, ::exec(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, extraParams, thread_id, numThreads), LIBND4J_TYPES, BOOL_TYPES);
};
samediff::Threads::parallel_do(func, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(shape::length(hZShapeInfo) / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execTransformAny(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets,
bool allowParallelism) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo))
return;
if (opNum == sd::transform::Assign && shape::order(hXShapeInfo) == shape::order(hZShapeInfo) && shape::order(hXShapeInfo) == 'c' && xType == zType && shape::elementWiseStride(hXShapeInfo) == 1 && shape::elementWiseStride(hZShapeInfo) == 1) {
memcpy(hZ, hX, shape::length(hXShapeInfo) * sd::DataTypeUtils::sizeOfElement(xType));
}
else {
auto func = PRAGMA_THREADS_DO {
BUILD_DOUBLE_SELECTOR(xType, zType, functions::transform::TransformAny, ::exec(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, extraParams, thread_id, numThreads), LIBND4J_TYPES, LIBND4J_TYPES);
};
samediff::Threads::parallel_do(func, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(shape::length(hZShapeInfo) / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execTransformSame(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo))
return;
auto func = PRAGMA_THREADS_DO {
BUILD_SINGLE_SELECTOR(xType, functions::transform::TransformSame, ::exec(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, extraParams, thread_id, numThreads), LIBND4J_TYPES);
};
samediff::Threads::parallel_do(func, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(shape::length(hZShapeInfo) / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execTransformStrict(sd::LaunchContext *lc,
int opNum,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraParams,
const Nd4jLong *tadShapeInfo, const Nd4jLong *tadOffsets) {
auto xType = sd::ArrayOptions::dataType(hXShapeInfo);
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
if (shape::isEmpty(hXShapeInfo))
return;
auto func = PRAGMA_THREADS_DO {
BUILD_SINGLE_SELECTOR(xType, functions::transform::TransformStrict, ::exec(opNum, hX, hXShapeInfo, hZ, hZShapeInfo, extraParams, thread_id, numThreads), FLOAT_TYPES);
};
samediff::Threads::parallel_do(func, sd::math::nd4j_max<int>(1, sd::math::nd4j_min<int>(shape::length(hZShapeInfo) / 1024, sd::Environment::getInstance()->maxMasterThreads())));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
int opNum,
Nd4jPointer state,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraArguments) {
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_SINGLE_SELECTOR(zType, functions::random::RandomFunction, ::execTransform(opNum, state, hZ, hZShapeInfo, extraArguments), FLOAT_TYPES);
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
rng->rewindH(shape::length(hZShapeInfo));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
int opNum,
Nd4jPointer state,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraArguments) {
auto zType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_SINGLE_SELECTOR(zType, functions::random::RandomFunction, ::execTransform(opNum, state, hX, hXShapeInfo, hZ, hZShapeInfo, extraArguments), FLOAT_TYPES);
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
rng->rewindH(shape::length(hZShapeInfo));
}
////////////////////////////////////////////////////////////////////////
void NativeOpExecutioner::execRandom(sd::LaunchContext *lc,
int opNum,
Nd4jPointer state,
const void *hX, const Nd4jLong *hXShapeInfo,
const void *dX, const Nd4jLong *dXShapeInfo,
const void *hY, const Nd4jLong *hYShapeInfo,
const void *dY, const Nd4jLong *dYShapeInfo,
void *hZ, const Nd4jLong *hZShapeInfo,
void *dZ, const Nd4jLong *dZShapeInfo,
void *extraArguments) {
auto xType = sd::ArrayOptions::dataType(hZShapeInfo);
BUILD_SINGLE_SELECTOR(xType, functions::random::RandomFunction, ::execTransform(opNum, state, hX, hXShapeInfo, hY, hYShapeInfo, hZ, hZShapeInfo, extraArguments), FLOAT_TYPES);
auto rng = reinterpret_cast<sd::graph::RandomGenerator*>(state);
rng->rewindH(shape::length(hZShapeInfo));
}