* initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * another initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * another initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * one more initial commit Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next step Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored buffer() and shapeInfo() methods usage with NDArray class. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt Graph class methods to use const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt choose op to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt where op shape method to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt lstsq op to use constant empty shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt matrix_diag_part op shape routine to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt determinant ops to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt mean_pairwssqerr_loss ops to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape methods for loss ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt log_loss op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape methods for ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt dilation2d ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted deconv2d ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted dynamicRNN op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for lstm layer ops. Signed-off-by: shugeo <sgazeos@gmail.com> * few updates Signed-off-by: raver119@gmail.com <raver119@gmail.com> * first cuda tweak Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Adopt constant shapes for sconv2d ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt constant shapes for gru ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt constant shapes with shape methods for segment ops and so on. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted constant shapes with unsorted_segment_* ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted constant shapes with gamma op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods of reduce_stddev ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape methods for reduce_* ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt shape method for squeeze op. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt strided_slice shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored concat op shape method to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted shape method for mirror_pad op. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted split op shape method. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted tile ops shape methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Added const cast for mkldnn routines handles. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored logSoftMaxForVector_ routine to conform with proper data and shape pointer casts. Signed-off-by: shugeo <sgazeos@gmail.com> * Cosmetic changes to proper usage of constant pointers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored a couple shape comparators for strides and addBias helpers to proper use data pointers with inplace option. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored depthToSpace helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored histogram helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored im2col helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored gather and gatherND helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage on percentile helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed gather shape with helpers and range buffer usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with space to depth helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage and constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with LUP decomposition> Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored onehot_ helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pad and prefix to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactoed softmax helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed space to batch helpers to use buffers properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed stack and split helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with sparse to dense helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with mindistance_ helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with tile helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage with legacy pairwise bool ops. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored a couple of methods to adopt constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed broadcasting with constant shape." Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const usage with inplace reverse and constant shapes with legacy reduction. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored legacy ops with const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored sort to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected sort for constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed constant shape usage with special methods. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored Context to conform with constant shape usage. Signed-off-by: shugeo <sgazeos@gmail.com> * CUDA broadcasting headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * pairwise/indexreduce/random headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored native ops to adopt constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * legacy reduce3/scalar headers Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Corrected pullRow signature and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected routines to proper use of constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored tests to use constant shapes properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored legacy ops tests to use constant shapes properly. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage with NDArray tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed native ops tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed special concat routine. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with test. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed buffer usage with a test. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored TAD.h and tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored calcStrides* routines to use constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed miscelaneous errors with constant shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * NativeOps const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Corrected definitions for declared functions. Signed-off-by: shugeo <sgazeos@gmail.com> * NativeOps const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed const shapes with shape routines. Signed-off-by: shugeo <sgazeos@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed shape method for broadcastable case. Signed-off-by: shugeo <sgazeos@gmail.com> * few more const changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * xw_plus_b BP shape fn restored Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed signatures with broadcasting. Signed-off-by: shugeo <sgazeos@gmail.com> * Repaired backprops shape methods for a set of operations. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored broadcast bool for cuda. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored methods for 3 args with const qualifier. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed a couple of kernel signatures for broadcasting. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels signatures for const buffers and shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise methods to persistent buffers and shapes usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt const to buffers and shapes with kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopt const to buffers and shapes with scalar kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored indexreduce kernels signatures to use const buffers and shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise kernels to adopt cons shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored pairwise bool kernels to adopt cons shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored random special ops to conform with const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored native ops to conform with const shapes and buffers under cuda platform. Signed-off-by: shugeo <sgazeos@gmail.com> * Cosmetical changes only. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes and buffers error. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected start pos routine. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored methods to conform with const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored helpers to use proper methods instead. Signed-off-by: shugeo <sgazeos@gmail.com> * bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * next bunch of changes Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Fixed execScalar declaration. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed execScalar declaration. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected const shape cases with sort and so on. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes for sort. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored kernel declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected kernel declarations to adopt const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernels declarations to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed segment helpers kernels declarations and so on to adopt const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shape usage with segment and solve helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed kernel declaration with adjustWeight helper. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed cuda implementations for constant shape helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted const shape usage with kernels. Signed-off-by: shugeo <sgazeos@gmail.com> * Adopted top_k kernels to use const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Corrected kernels declarations to adopt const shapes with helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored NDArray definitions to adopt const shapes and buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shapes with image suppression helpers. Signed-off-by: shugeo <sgazeos@gmail.com> * Slight improvement with buffers. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored buffer usage with tests. Signed-off-by: shugeo <sgazeos@gmail.com> * Fixed const shape usage with definitions. Signed-off-by: shugeo <sgazeos@gmail.com> * minor updates on cpu side Signed-off-by: raver119@gmail.com <raver119@gmail.com> * Refactored const shape usage with ConstantDescritor and native ops with cuda platform. Signed-off-by: shugeo <sgazeos@gmail.com> * Refactored tear and tile kernels to adopt with const shapes. Signed-off-by: shugeo <sgazeos@gmail.com> * softmax_loop fix Signed-off-by: raver119 <raver119@gmail.com> * update missing signature Signed-off-by: raver119@gmail.com <raver119@gmail.com> * softmax again Signed-off-by: raver119@gmail.com <raver119@gmail.com> * few more missing consts Signed-off-by: raver119 <raver119@gmail.com> * new methods updated Signed-off-by: raver119@gmail.com <raver119@gmail.com> Co-authored-by: shugeo <sgazeos@gmail.com>
1253 lines
56 KiB
C++
1253 lines
56 KiB
C++
/*******************************************************************************
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* Copyright (c) 2015-2018 Skymind, Inc.
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*
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* This program and the accompanying materials are made available under the
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* terms of the Apache License, Version 2.0 which is available at
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* https://www.apache.org/licenses/LICENSE-2.0.
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS, WITHOUT
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* WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the
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* License for the specific language governing permissions and limitations
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* under the License.
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*
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* SPDX-License-Identifier: Apache-2.0
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******************************************************************************/
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//
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// @author Yurii Shyrma (iuriish@yahoo.com), created on 14.03.2019
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//
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#ifndef LIBND4J_LOOPS_H
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#define LIBND4J_LOOPS_H
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#include <functional>
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#include <system/pointercast.h>
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#include <helpers/shape.h>
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#include <helpers/LoopKind.h>
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#include <helpers/OmpLaunchHelper.h>
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#include <array/DataTypeUtils.h>
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#include <ops/ops.h>
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#include <loops/indexreduce.h>
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#include <helpers/ConstantTadHelper.h>
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#include <system/openmp_pragmas.h>
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#include <execution/Threads.h>
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namespace sd {
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template <typename X, typename Z, typename E>
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class ND4J_EXPORT ReductionLoops {
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protected:
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public:
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template <typename OpType>
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static FORCEINLINE void loopReduce(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, E* extraParams, int64_t start, int64_t stop);
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};
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template <typename X, typename Z>
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class ReductionFloatLoops : public ReductionLoops<X, Z, Z> {
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public:
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static void wrapper(int opNum, const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, Z* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, Z* extraParams, int64_t start, int64_t stop);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT ReductionBoolLoops : public ReductionLoops<X, Z, X> {
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public:
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static void wrapper(int opNum, const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT ReductionLongLoops : public ReductionLoops<X, Z, X> {
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public:
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static void wrapper(int opNum, const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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};
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template <typename X>
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class ND4J_EXPORT ReductionSameLoops : public ReductionLoops<X, X, X> {
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public:
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static void wrapper(int opNum, const X* x, const Nd4jLong* xShapeInfo, X* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce(const X* x, const Nd4jLong* xShapeInfo, X* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams, int64_t start, int64_t stop);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT IndexReductionLoops {
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private:
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public:
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static void wrapIndexReduce(int opNum, const void* x, const Nd4jLong* xShapeInfo, void* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, void* extraParams);
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template <typename OpType>
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static void loopIndexReduce(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets, X* extraParams);
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};
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template <typename X, typename Z, typename E>
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class ND4J_EXPORT TransformLoops {
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public:
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template<typename OpType>
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static FORCEINLINE void loopTransform(const X* x, const Nd4jLong* xShapeInfo, Z* z, const Nd4jLong* zShapeInfo, E* extraParams, uint64_t threadId, uint64_t numThreads);
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};
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template <typename X, typename Z>
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class ND4J_EXPORT Reduction3Loops {
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public:
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template <typename OpType>
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static FORCEINLINE void loopReduce3(const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static FORCEINLINE void loopReduce3All(const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* xTadShapeInfo, const Nd4jLong* xTadOffsets, const Nd4jLong* yTadShapeInfo, const Nd4jLong* yTadOffsets, Z* extraParams, int64_t start, int64_t stop);
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static void wrapper(int opNum, const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams, int64_t start, int64_t stop);
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static void wrapperAll(int opNum, const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* xTadShapeInfo, const Nd4jLong* xTadOffsets, const Nd4jLong* yTadShapeInfo, const Nd4jLong* yTadOffsets, Z* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce3(const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, int* dims, int dimsLen, Z* extraParams, int64_t start, int64_t stop);
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template <typename OpType>
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static void innerloopReduce3All(const X* x, const Nd4jLong* xShapeInfo, const X* y, const Nd4jLong* yShapeInfo, Z* z, const Nd4jLong* zShapeInfo, const Nd4jLong* xTadShapeInfo, const Nd4jLong* xTadOffsets, const Nd4jLong* yTadShapeInfo, const Nd4jLong* yTadOffsets, Z* extraParams, int64_t start, int64_t stop);
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};
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/*
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//////////////////////////////////////////////////////////////////////////////
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template<typename X, typename Y, typename Z>
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void Loops::loopXYZ(const X* x, const Nd4jLong* xShapeInfo,
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const Y* y, const Nd4jLong* yShapeInfo,
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Z* z, const Nd4jLong* zShapeInfo,
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Z* extraParams,
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std::function<Z(X,Y,Z*)> op) {
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const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopXYZ(xShapeInfo, yShapeInfo, zShapeInfo);
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const Nd4jLong* xShape = shape::shapeOf(xShapeInfo);
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const Nd4jLong* xStride = shape::stride(xShapeInfo);
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const Nd4jLong* yStride = shape::stride(yShapeInfo);
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const Nd4jLong* zStride = shape::stride(zShapeInfo);
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const Nd4jLong len = shape::length(xShapeInfo);
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OmpLaunchHelper threadsInfo(len);
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switch (kindOfLoop) {
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case LoopKind::EWS1: {
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PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
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{
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const auto threadNum = omp_get_thread_num();
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const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
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const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
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const auto xi = x + threadOffset;
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const auto yi = y + threadOffset;
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auto zi = z + threadOffset;
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PRAGMA_OMP_SIMD
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for (uint i = 0; i < lenPerThread; i++)
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zi[i] = op(xi[i], yi[i], extraParams);
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}
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}
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break;
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|
|
case LoopKind::EWSNONZERO: {
|
|
const uint xEws = shape::elementWiseStride(xShapeInfo);
|
|
const uint yEws = shape::elementWiseStride(yShapeInfo);
|
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
|
|
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
|
{
|
|
const auto threadNum = omp_get_thread_num();
|
|
const auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
|
const auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
|
const auto xi = x + threadOffset * xEws;
|
|
const auto yi = y + threadOffset * yEws;
|
|
auto zi = z + threadOffset * zEws;
|
|
|
|
PRAGMA_OMP_SIMD
|
|
for (uint i = 0; i < lenPerThread; i++)
|
|
zi[i*zEws] = op(xi[i*xEws], yi[i*yEws], extraParams);
|
|
}
|
|
}
|
|
break;
|
|
|
|
case LoopKind::RANK1: {
|
|
PRAGMA_OMP_PARALLEL_FOR
|
|
for (uint i0 = 0; i0 < len; ++i0)
|
|
z[i0 * zStride[0]] = op(x[i0 * xStride[0]], y[i0 * yStride[0]], extraParams);
|
|
}
|
|
break;
|
|
|
|
case LoopKind::RANK2: {
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD
|
|
for (uint i0 = 0; i0 < xShape[0]; ++i0)
|
|
for (uint i1 = 0; i1 < xShape[1]; ++i1)
|
|
z[i0 * zStride[0] + i1 * zStride[1]] = op(x[i0 * xStride[0] + i1 * xStride[1]], y[i0 * yStride[0] + i1 * yStride[1]], extraParams);
|
|
}
|
|
break;
|
|
|
|
case LoopKind::RANK3: {
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(2)
|
|
for (uint i0 = 0; i0 < xShape[0]; ++i0)
|
|
for (uint i1 = 0; i1 < xShape[1]; ++i1)
|
|
for (uint i2 = 0; i2 < xShape[2]; ++i2)
|
|
z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]], extraParams);
|
|
}
|
|
break;
|
|
|
|
case LoopKind::RANK4: {
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(3)
|
|
for (uint i0 = 0; i0 < xShape[0]; ++i0)
|
|
for (uint i1 = 0; i1 < xShape[1]; ++i1)
|
|
for (uint i2 = 0; i2 < xShape[2]; ++i2)
|
|
for (uint i3 = 0; i3 < xShape[3]; ++i3)
|
|
z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]+i3*zStride[3]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]+i3*xStride[3]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]+i3*yStride[3]], extraParams);
|
|
}
|
|
break;
|
|
|
|
case LoopKind::RANK5: {
|
|
PRAGMA_OMP_PARALLEL_FOR_SIMD_COLLAPSE(4)
|
|
for (uint i0 = 0; i0 < xShape[0]; ++i0)
|
|
for (uint i1 = 0; i1 < xShape[1]; ++i1)
|
|
for (uint i2 = 0; i2 < xShape[2]; ++i2)
|
|
for (uint i3 = 0; i3 < xShape[3]; ++i3)
|
|
for (uint i4 = 0; i4 < xShape[4]; ++i4)
|
|
z[i0*zStride[0]+i1*zStride[1]+i2*zStride[2]+i3*zStride[3]+i4*zStride[4]] = op(x[i0*xStride[0]+i1*xStride[1]+i2*xStride[2]+i3*xStride[3]+i4*xStride[4]], y[i0*yStride[0]+i1*yStride[1]+i2*yStride[2]+i3*yStride[3]+i4*yStride[4]], extraParams);
|
|
}
|
|
break;
|
|
|
|
default: {
|
|
uint xShapeInfoCast[MAX_RANK];
|
|
uint yShapeInfoCast[MAX_RANK];
|
|
uint zShapeInfoCast[MAX_RANK];
|
|
|
|
bool canCastX = DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
|
bool canCastY = DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
|
|
bool canCastZ = DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
|
|
|
|
PRAGMA_OMP_PARALLEL_THREADS(threadsInfo._numThreads)
|
|
{
|
|
auto threadNum = omp_get_thread_num();
|
|
auto threadOffset = threadsInfo.getThreadOffset(threadNum);
|
|
auto lenPerThread = static_cast<uint>(threadsInfo.getItersPerThread(threadNum));
|
|
PRAGMA_OMP_SIMD
|
|
for (uint i = 0; i < lenPerThread; i++) {
|
|
auto xOffset = shape::indexOffset(i + threadOffset, xShapeInfo, xShapeInfoCast, canCastX);
|
|
auto yOffset = shape::indexOffset(i + threadOffset, yShapeInfo, yShapeInfoCast, canCastY);
|
|
auto zOffset = shape::indexOffset(i + threadOffset, zShapeInfo, zShapeInfoCast, canCastZ);
|
|
z[zOffset] = op(x[xOffset], y[yOffset], extraParams);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
*/
|
|
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
template<typename X, typename Z, typename E>
|
|
template <typename OpType>
|
|
void sd::ReductionLoops<X, Z, E>::loopReduce(const X* x, const Nd4jLong* xShapeInfo,
|
|
Z* z, const Nd4jLong* zShapeInfo,
|
|
const Nd4jLong* tadShapeInfo, const Nd4jLong* tadOffsets,
|
|
E* extraParams,
|
|
int64_t start, int64_t stop) {
|
|
|
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXZ(xShapeInfo, zShapeInfo, tadShapeInfo);
|
|
|
|
const Nd4jLong zLen = shape::length(zShapeInfo);
|
|
const Nd4jLong tadLen = shape::length(tadShapeInfo);
|
|
|
|
const uint tadEws = shape::elementWiseStride(tadShapeInfo);
|
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
|
|
|
const Nd4jLong* tadShape = shape::shapeOf(tadShapeInfo);
|
|
const Nd4jLong* tadStride = shape::stride(tadShapeInfo);
|
|
|
|
int numThreads = OmpLaunchHelper::tadThreads(tadLen, zLen);
|
|
|
|
switch (kindOfLoop) {
|
|
|
|
//*********************************************//
|
|
// case LoopKind::SMALLARR2DX: {
|
|
// shape::printShapeInfoLinear(xShapeInfo);
|
|
// shape::printShapeInfoLinear(zShapeInfo);
|
|
// const auto xLen = zLen * tadLen;
|
|
// for (uint i = 0; i < xLen; ++i) {
|
|
// const auto zOffset = shape::subArrayOffset(i, xShapeInfo, zShapeInfo, dimsToExclude, dimsLen);
|
|
// const uint tadInd = (i / tadEws) % tadLen;
|
|
// auto startVal = tadInd ? z[zOffset] : static_cast<Z>(OpType::startingValue(x));
|
|
// z[zOffset] = OpType::update(startVal, OpType::op(x[i], extraParams), extraParams);
|
|
// if(tadInd == tadLen - 1)
|
|
// z[zOffset] = OpType::postProcess(z[zOffset], tadLen, extraParams);
|
|
// printf("%u - %lld\n", i, zOffset);
|
|
// }
|
|
// }
|
|
case LoopKind::SMALLARR2DX: {
|
|
const auto uTadLen = static_cast<uint>(tadLen);
|
|
const auto uZLenMinusOne = static_cast<uint>(zLen - 1);
|
|
const auto xLen = static_cast<uint>(zLen * uTadLen);
|
|
const auto sv = static_cast<Z>(OpType::startingValue(x));
|
|
|
|
for (uint i = 0; i <= uZLenMinusOne; i++)
|
|
z[i] = OpType::startingValue(x);
|
|
|
|
uint zOffset = 0;
|
|
for (uint i = 0; i < xLen; ++i) {
|
|
z[zOffset] = OpType::update(z[zOffset], OpType::op(x[i], extraParams), extraParams);
|
|
zOffset = zOffset == uZLenMinusOne ? 0 : zOffset + 1;
|
|
}
|
|
|
|
for (uint i = 0; i <= uZLenMinusOne; i++)
|
|
z[i] = OpType::postProcess(z[i], tadLen, extraParams);
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWS1: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; j++)
|
|
s = OpType::update(s, OpType::op(tad[j], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWSNONZERO: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; j++)
|
|
s = OpType::update(s, OpType::op(tad[j * tadEws], extraParams), extraParams);
|
|
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK1: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadLen; ++i0)
|
|
s = OpType::update(s, OpType::op(tad[i0 * tadStride[0]], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK2: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0)
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1)
|
|
s = OpType::update(s, OpType::op(tad[i0 * tadStride[0] + i1 * tadStride[1]], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK3: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0)
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1)
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2)
|
|
s = OpType::update(s, OpType::op(tad[i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2]], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK4: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0)
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1)
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2)
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3)
|
|
s = OpType::update(s, OpType::op(tad[i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2] + i3 * tadStride[3]], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK5: {
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0)
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1)
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2)
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3)
|
|
for (Nd4jLong i4 = 0; i4 < tadShape[4]; ++i4)
|
|
s = OpType::update(s, OpType::op(tad[i0 * tadStride[0] + i1 * tadStride[1] + i2 * tadStride[2] + i3 * tadStride[3] + i4 * tadStride[4]], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::X_EWSNONZERO: {
|
|
uint castZShapeInfo[MAX_RANK];
|
|
const bool canCastZ = sd::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
|
|
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; j++)
|
|
s = OpType::update(s, OpType::op(tad[j * tadEws], extraParams), extraParams);
|
|
|
|
auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, canCastZ);
|
|
z[zOffset] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::Z_EWSNONZERO: {
|
|
uint castTadShapeInfo[MAX_RANK];
|
|
const bool canCastTad = sd::DataTypeUtils::castShapeInfo<uint>(tadShapeInfo, castTadShapeInfo);
|
|
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; j++) {
|
|
auto tadOffset = shape::indexOffset(j, tadShapeInfo, castTadShapeInfo, canCastTad);
|
|
s = OpType::update(s, OpType::op(tad[tadOffset], extraParams), extraParams);
|
|
}
|
|
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
default: {
|
|
auto innertadOffsets = new Nd4jLong[tadLen];
|
|
shape::calcOffsets(tadShapeInfo, innertadOffsets);
|
|
|
|
uint castZShapeInfo[MAX_RANK];
|
|
const bool canCastZ = sd::DataTypeUtils::castShapeInfo<uint>(zShapeInfo, castZShapeInfo);
|
|
|
|
for (auto i = start; i < stop; i++) {
|
|
auto tad = x + tadOffsets[i];
|
|
auto s = OpType::startingValue(tad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; j++)
|
|
s = OpType::update(s, OpType::op(tad[innertadOffsets[j]], extraParams), extraParams);
|
|
|
|
auto zOffset = shape::indexOffset(i, zShapeInfo, castZShapeInfo, canCastZ);
|
|
z[zOffset] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
|
|
delete[] innertadOffsets;
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
template <typename X, typename Z, typename E>
|
|
template <typename OpType>
|
|
void sd::TransformLoops<X, Z, E>::loopTransform(const X* x, const Nd4jLong* xShapeInfo,
|
|
Z* z, const Nd4jLong* zShapeInfo,
|
|
E* extraParams,
|
|
uint64_t threadId, uint64_t numThreads) {
|
|
|
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopXZ(xShapeInfo, zShapeInfo);
|
|
|
|
const Nd4jLong* xShape = shape::shapeOf(const_cast<Nd4jLong*>(xShapeInfo));
|
|
const Nd4jLong* xStride = shape::stride(const_cast<Nd4jLong*>(xShapeInfo));
|
|
const Nd4jLong* zStride = shape::stride(const_cast<Nd4jLong*>(zShapeInfo));
|
|
|
|
const Nd4jLong len = shape::length(xShapeInfo);
|
|
|
|
if (len == 0)
|
|
return;
|
|
|
|
switch (kindOfLoop) {
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWS1: {
|
|
auto span = samediff::Span::build(threadId, numThreads, 0, len, 1);
|
|
int64_t start = span.startX(), stop = span.stopX();
|
|
|
|
for (auto i = start; i < stop; i++)
|
|
z[i] = OpType::op(x[i], extraParams);
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWSNONZERO: {
|
|
const uint xEws = shape::elementWiseStride(xShapeInfo);
|
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
|
|
|
auto span = samediff::Span::build(threadId, numThreads, 0, len, 1);
|
|
int64_t start = span.startX(), stop = span.stopX();
|
|
|
|
for (auto i = start; i < stop; i++)
|
|
z[i * zEws] = OpType::op(x[i * xEws], extraParams);
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::Z_EWSNONZERO: {
|
|
const uint zEws = shape::elementWiseStride(zShapeInfo);
|
|
uint castXShapeInfo[MAX_RANK];
|
|
const bool canCastX = sd::DataTypeUtils::castShapeInfo<uint>(xShapeInfo, castXShapeInfo);
|
|
|
|
auto span = samediff::Span::build(threadId, numThreads, 0, len, 1);
|
|
int64_t start = span.startX(), stop = span.stopX();
|
|
|
|
if (zEws > 1) {
|
|
for (auto i = start; i < stop; i++) {
|
|
const auto xOffset = shape::indexOffset(i, xShapeInfo, castXShapeInfo, canCastX);
|
|
z[i * zEws] = OpType::op(x[xOffset], extraParams);
|
|
}
|
|
}
|
|
else {
|
|
for (auto i = start; i < stop; i++) {
|
|
const auto xOffset = shape::indexOffset(i, xShapeInfo, castXShapeInfo, canCastX);
|
|
z[i] = OpType::op(x[xOffset], extraParams);
|
|
}
|
|
}
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK1: {
|
|
auto span = samediff::Span::build(threadId, numThreads, 0, len, 1);
|
|
|
|
for (auto i0 = span.startX(); i0 < span.stopX(); i0++)
|
|
z[i0 * zStride[0]] = OpType::op(x[i0 * xStride[0]], extraParams);
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK2: {
|
|
auto uXShape0 = static_cast<uint>(xShape[0]);
|
|
auto uXShape1 = static_cast<uint>(xShape[1]);
|
|
|
|
auto loop = samediff::ThreadsHelper::pickLoop2d(numThreads, uXShape0, uXShape1);
|
|
auto span = samediff::Span2::build(loop, threadId, numThreads, 0, uXShape0, 1, 0, uXShape1, 1);
|
|
|
|
for (auto i0 = span.startX(); i0 < span.stopX(); i0++) {
|
|
auto z0 = i0 * zStride[0];
|
|
auto x0 = i0 * xStride[0];
|
|
|
|
for (auto i1 = span.startY(); i1 < span.stopY(); ++i1)
|
|
z[z0 + i1 * zStride[1]] = OpType::op(x[x0 + i1 * xStride[1]], extraParams);
|
|
}
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK3: {
|
|
auto uXShape0 = xShape[0];
|
|
auto uXShape1 = xShape[1];
|
|
auto uXShape2 = xShape[2];
|
|
|
|
auto loop = samediff::ThreadsHelper::pickLoop2d(numThreads, uXShape0, uXShape1);
|
|
auto span = samediff::Span2::build(loop, threadId, numThreads, 0, uXShape0, 1, 0, uXShape1, 1);
|
|
|
|
|
|
for (auto i0 = span.startX(); i0 < span.stopX(); i0++)
|
|
for (auto i1 = span.startY(); i1 < span.stopY(); i1++) {
|
|
auto z0 = i0 * zStride[0] + i1 * zStride[1];
|
|
auto x0 = i0 * xStride[0] + i1 * xStride[1];
|
|
|
|
for (Nd4jLong i2 = 0; i2 < uXShape2; ++i2)
|
|
z[z0 + i2 * zStride[2]] = OpType::op(x[x0 + i2 * xStride[2]], extraParams);
|
|
}
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK4: {
|
|
auto uXShape0 = xShape[0];
|
|
auto uXShape1 = xShape[1];
|
|
auto uXShape2 = xShape[2];
|
|
auto uXShape3 = xShape[3];
|
|
|
|
auto loop = samediff::ThreadsHelper::pickLoop3d(numThreads, uXShape0, uXShape1, uXShape2);
|
|
auto span = samediff::Span3::build(loop, threadId, numThreads, 0, uXShape0, 1, 0, uXShape1, 1, 0, uXShape2, 1);
|
|
|
|
for (auto i0 = span.startX(); i0 < span.stopX(); i0++)
|
|
for (auto i1 = span.startY(); i1 < span.stopY(); i1++)
|
|
for (auto i2 = span.startZ(); i2 < span.stopZ(); i2++) {
|
|
auto x0 = i0 * xStride[0] + i1 * xStride[1] + i2 * xStride[2];
|
|
auto z0 = i0 * zStride[0] + i1 * zStride[1] + i2 * zStride[2];
|
|
|
|
for (Nd4jLong i3 = 0; i3 < uXShape3; ++i3)
|
|
z[z0 + i3 * zStride[3]] = OpType::op(x[x0 + i3 * xStride[3]], extraParams);
|
|
}
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK5: {
|
|
auto uXShape0 = xShape[0];
|
|
auto uXShape1 = xShape[1];
|
|
auto uXShape2 = xShape[2];
|
|
auto uXShape3 = xShape[3];
|
|
auto uXShape4 = xShape[4];
|
|
|
|
auto loop = samediff::ThreadsHelper::pickLoop3d(numThreads, uXShape0, uXShape1, uXShape2);
|
|
auto span = samediff::Span3::build(loop, threadId, numThreads, 0, uXShape0, 1, 0, uXShape1, 1, 0, uXShape2, 1);
|
|
|
|
|
|
for (auto i0 = span.startX(); i0 < span.stopX(); i0++)
|
|
for (auto i1 = span.startY(); i1 < span.stopY(); i1++)
|
|
for (auto i2 = span.startZ(); i2 < span.stopZ(); i2++) {
|
|
auto z0 = i0 * zStride[0] + i1 * zStride[1] + i2 * zStride[2];
|
|
auto x0 = i0 * xStride[0] + i1 * xStride[1] + i2 * xStride[2];
|
|
|
|
for (Nd4jLong i3 = 0; i3 < uXShape3; ++i3) {
|
|
|
|
auto z1 = z0 + i3 * zStride[3];
|
|
auto x1 = x0 + i3 * xStride[3];
|
|
|
|
for (Nd4jLong i4 = 0; i4 < uXShape4; ++i4)
|
|
z[z1 + i4 * zStride[4]] = OpType::op(x[x1 + i4 * xStride[4]], extraParams);
|
|
|
|
}
|
|
}
|
|
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
default: {
|
|
uint xShapeInfoCast[MAX_RANK];
|
|
uint zShapeInfoCast[MAX_RANK];
|
|
|
|
bool canCastX = DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
|
bool canCastZ = DataTypeUtils::castShapeInfo(zShapeInfo, zShapeInfoCast);
|
|
|
|
auto span = samediff::Span::build(threadId, numThreads, 0, len, 1);
|
|
|
|
for (auto i = span.startX(); i < span.stopX(); i++) {
|
|
auto xOffset = shape::indexOffset(i, xShapeInfo, xShapeInfoCast, canCastX);
|
|
auto zOffset = shape::indexOffset(i, zShapeInfo, zShapeInfoCast, canCastZ);
|
|
z[zOffset] = OpType::op(x[xOffset], extraParams);
|
|
}
|
|
}
|
|
|
|
}
|
|
}
|
|
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
template<typename X, typename Z>
|
|
template <typename OpType>
|
|
void sd::Reduction3Loops<X, Z>::loopReduce3(const X* x, const Nd4jLong* xShapeInfo,
|
|
const X* y, const Nd4jLong* yShapeInfo,
|
|
Z* z, const Nd4jLong* zShapeInfo,
|
|
int* dims, int dimsLen,
|
|
Z* extraParameters, int64_t start, int64_t stop) {
|
|
|
|
// both tads have same shape, however strides and ews may differ
|
|
|
|
Z param0(OpType::startingValue(x)), param1(OpType::startingValue(x)), param2(extraParameters ? extraParameters[0] : OpType::startingValue(x));
|
|
|
|
const Nd4jLong xLen = shape::length(xShapeInfo);
|
|
const Nd4jLong yLen = shape::length(yShapeInfo);
|
|
|
|
const Nd4jLong* xTadShapeInfo = nullptr, * yTadShapeInfo = nullptr, * xTadOffsets = nullptr, * yTadOffsets = nullptr;
|
|
TadPack tadPackX, tadPackY;
|
|
std::vector<Nd4jLong> zeroOffsets;
|
|
|
|
if (xLen == yLen) {
|
|
tadPackX = sd::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dims, dimsLen);
|
|
tadPackY = sd::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dims, dimsLen);
|
|
xTadShapeInfo = tadPackX.primaryShapeInfo();
|
|
yTadShapeInfo = tadPackY.primaryShapeInfo();
|
|
xTadOffsets = tadPackX.primaryOffsets();
|
|
yTadOffsets = tadPackY.primaryOffsets();
|
|
}
|
|
else if (yLen > xLen) {
|
|
tadPackY = sd::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dims, dimsLen);
|
|
xTadShapeInfo = xShapeInfo;
|
|
yTadShapeInfo = tadPackY.primaryShapeInfo();
|
|
yTadOffsets = tadPackY.primaryOffsets();
|
|
}
|
|
else {
|
|
tadPackX = sd::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dims, dimsLen);
|
|
yTadShapeInfo = yShapeInfo;
|
|
xTadShapeInfo = tadPackX.primaryShapeInfo();
|
|
xTadOffsets = tadPackX.primaryOffsets();
|
|
}
|
|
|
|
|
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXYZ(xTadShapeInfo, yTadShapeInfo, zShapeInfo);
|
|
|
|
const auto xTadEws = shape::elementWiseStride(xTadShapeInfo);
|
|
const auto yTadEws = shape::elementWiseStride(yTadShapeInfo);
|
|
const auto zEws = shape::elementWiseStride(zShapeInfo);
|
|
|
|
const auto zLen = shape::length(zShapeInfo);
|
|
const auto tadLen = shape::length(xTadShapeInfo);
|
|
|
|
const auto tadShape = shape::shapeOf(xTadShapeInfo);
|
|
const auto xTadStride = shape::stride(xTadShapeInfo);
|
|
const auto yTadStride = shape::stride(xTadShapeInfo);
|
|
|
|
int numThreads = OmpLaunchHelper::tadThreads(tadLen, zLen);
|
|
|
|
switch (kindOfLoop) {
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWS1: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j)
|
|
s = OpType::update(s, OpType::op(xTad[j], yTad[j], extraParams), extraParams);
|
|
|
|
z[i] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWSNONZERO: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j)
|
|
s = OpType::update(s, OpType::op(xTad[j * xTadEws], yTad[j * yTadEws], extraParams), extraParams);
|
|
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK1: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadLen; ++i0) {
|
|
const auto xTadOffset = i0 * xTadStride[0];
|
|
const auto yTadOffset = i0 * yTadStride[0];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK2: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK3: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK4: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK5: {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3) {
|
|
for (Nd4jLong i4 = 0; i4 < tadShape[4]; ++i4) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3] + i4 * xTadStride[4];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3] + i4 * yTadStride[4];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
default: {
|
|
uint castXTadShapeInfo[MAX_RANK];
|
|
const bool canCastXTad = sd::DataTypeUtils::castShapeInfo<uint>(xTadShapeInfo, castXTadShapeInfo);
|
|
|
|
if (shape::haveSameShapeAndStrides(xTadShapeInfo, yTadShapeInfo)) {
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j) {
|
|
const auto tadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, canCastXTad);
|
|
s = OpType::update(s, OpType::op(xTad[tadOffset], yTad[tadOffset], extraParams), extraParams);
|
|
}
|
|
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
else {
|
|
uint castYTadShapeInfo[MAX_RANK];
|
|
const bool canCastYTad = sd::DataTypeUtils::castShapeInfo<uint>(yTadShapeInfo, castYTadShapeInfo);
|
|
|
|
Z extraParams[3];
|
|
for (auto i = start; i < stop; i++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = xTadOffsets ? x + xTadOffsets[i] : x;
|
|
const auto yTad = yTadOffsets ? y + yTadOffsets[i] : y;
|
|
auto s = OpType::startingValue(xTad);
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j) {
|
|
const auto xTadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, canCastXTad);
|
|
const auto yTadOffset = shape::indexOffset(j, yTadShapeInfo, castYTadShapeInfo, canCastYTad);
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
z[i * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
};
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
//////////////////////////////////////////////////////////////////////////////
|
|
template<typename X, typename Z>
|
|
template <typename OpType>
|
|
void sd::Reduction3Loops<X, Z>::loopReduce3All(const X* x, const Nd4jLong* xShapeInfo,
|
|
const X* y, const Nd4jLong* yShapeInfo,
|
|
Z* z, const Nd4jLong* zShapeInfo,
|
|
const Nd4jLong* xTadShapeInfo, const Nd4jLong* xTadOffsets,
|
|
const Nd4jLong* yTadShapeInfo, const Nd4jLong* yTadOffsets,
|
|
Z* extraParameters,
|
|
int64_t start, int64_t stop) {
|
|
|
|
// both tads have same shape, however strides and ews may differ
|
|
|
|
Z param0(OpType::startingValue(x)), param1(OpType::startingValue(x)), param2(extraParameters ? extraParameters[0] : OpType::startingValue(x));
|
|
|
|
const LoopKind::Kind kindOfLoop = LoopKind::deduceKindOfLoopTadXYZ(xTadShapeInfo, yTadShapeInfo, zShapeInfo);
|
|
|
|
const auto xTadEws = shape::elementWiseStride(xTadShapeInfo);
|
|
const auto yTadEws = shape::elementWiseStride(yTadShapeInfo);
|
|
const auto zEws = shape::elementWiseStride(zShapeInfo);
|
|
|
|
const auto zLen = shape::length(zShapeInfo);
|
|
const auto tadLen = shape::length(xTadShapeInfo);
|
|
|
|
const auto numXTads = shape::length(xShapeInfo) / tadLen;
|
|
const auto numYTads = shape::length(yShapeInfo) / tadLen;
|
|
|
|
const auto tadShape = shape::shapeOf(xTadShapeInfo);
|
|
const auto xTadStride = shape::stride(xTadShapeInfo);
|
|
const auto yTadStride = shape::stride(yTadShapeInfo);
|
|
|
|
const auto startVal = OpType::startingValue(x);
|
|
|
|
int numThreads = OmpLaunchHelper::tadThreads(tadLen, numXTads * numYTads);
|
|
|
|
switch (kindOfLoop) {
|
|
//*********************************************//
|
|
case LoopKind::EWS1: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j)
|
|
s = OpType::update(s, OpType::op(xTad[j], yTad[j], extraParams), extraParams);
|
|
|
|
z[zInd] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::EWSNONZERO: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j)
|
|
s = OpType::update(s, OpType::op(xTad[j * xTadEws], yTad[j * yTadEws], extraParams), extraParams);
|
|
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK1: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadLen; ++i0) {
|
|
const auto xTadOffset = i0 * xTadStride[0];
|
|
const auto yTadOffset = i0 * yTadStride[0];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK2: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK3: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK4: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
case LoopKind::RANK5: {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong i0 = 0; i0 < tadShape[0]; ++i0) {
|
|
for (Nd4jLong i1 = 0; i1 < tadShape[1]; ++i1) {
|
|
for (Nd4jLong i2 = 0; i2 < tadShape[2]; ++i2) {
|
|
for (Nd4jLong i3 = 0; i3 < tadShape[3]; ++i3) {
|
|
for (Nd4jLong i4 = 0; i4 < tadShape[4]; ++i4) {
|
|
const auto xTadOffset = i0 * xTadStride[0] + i1 * xTadStride[1] + i2 * xTadStride[2] + i3 * xTadStride[3] + i4 * xTadStride[4];
|
|
const auto yTadOffset = i0 * yTadStride[0] + i1 * yTadStride[1] + i2 * yTadStride[2] + i3 * yTadStride[3] + i4 * yTadStride[4];
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(start, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
break;
|
|
|
|
//*********************************************//
|
|
default: {
|
|
uint castXTadShapeInfo[MAX_RANK];
|
|
const bool canCastXTad = sd::DataTypeUtils::castShapeInfo<uint>(xTadShapeInfo, castXTadShapeInfo);
|
|
|
|
if (shape::haveSameShapeAndStrides(xTadShapeInfo, yTadShapeInfo)) {
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j) {
|
|
const auto tadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, canCastXTad);
|
|
s = OpType::update(s, OpType::op(xTad[tadOffset], yTad[tadOffset], extraParams), extraParams);
|
|
}
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
else {
|
|
uint castYTadShapeInfo[MAX_RANK];
|
|
const bool canCastYTad = sd::DataTypeUtils::castShapeInfo<uint>(yTadShapeInfo, castYTadShapeInfo);
|
|
|
|
Z extraParams[3];
|
|
for (Nd4jLong ix = 0; ix < numXTads; ix++) {
|
|
for (Nd4jLong iy = 0; iy < numYTads; iy++) {
|
|
extraParams[0] = param0;
|
|
extraParams[1] = param1;
|
|
extraParams[2] = param2;
|
|
|
|
const auto xTad = x + xTadOffsets[ix];
|
|
const auto yTad = y + yTadOffsets[iy];
|
|
const auto zInd = ix * numYTads + iy;
|
|
auto s = startVal;
|
|
|
|
for (Nd4jLong j = 0; j < tadLen; ++j) {
|
|
const auto xTadOffset = shape::indexOffset(j, xTadShapeInfo, castXTadShapeInfo, canCastXTad);
|
|
const auto yTadOffset = shape::indexOffset(j, yTadShapeInfo, castYTadShapeInfo, canCastYTad);
|
|
s = OpType::update(s, OpType::op(xTad[xTadOffset], yTad[yTadOffset], extraParams), extraParams);
|
|
}
|
|
|
|
z[zInd * zEws] = OpType::postProcess(s, tadLen, extraParams);
|
|
}
|
|
};
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
#endif //LIBND4J_LOOPS_H
|