2019-06-06 14:21:15 +02:00
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/*******************************************************************************
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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 raver119@gmail.com
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//
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2020-03-02 10:49:41 +01:00
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#include <system/op_boilerplate.h>
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2019-06-06 14:21:15 +02:00
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#include <loops/broadcasting.h>
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#include <loops/legacy_ops.h>
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#include <types/types.h>
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2020-03-02 10:49:41 +01:00
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#include <helpers/LoopKind.h>
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2019-06-06 14:21:15 +02:00
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#include <helpers/ConstantTadHelper.h>
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2019-11-13 15:15:18 +01:00
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#include <execution/Threads.h>
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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#include <helpers/ShapeUtils.h>
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2019-06-06 14:21:15 +02:00
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using namespace simdOps;
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namespace functions {
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2020-03-10 14:29:09 +01:00
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namespace broadcast {
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2019-06-06 14:21:15 +02:00
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template <typename X, typename Y, typename Z>
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void Broadcast<X, Y, Z>::execInverse(const int opNum,
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void *x,
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Nd4jLong *xShapeInfo,
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void *y,
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Nd4jLong *yShapeInfo,
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void *z,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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2019-11-13 15:15:18 +01:00
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Nd4jLong *zTadOffset,
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uint64_t start,
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uint64_t stop) {
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2019-06-06 14:21:15 +02:00
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DISPATCH_BY_OPNUM_TTT(execInverse, PARAMS(x,
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xShapeInfo,
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y,
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yShapeInfo,
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z,
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zShapeInfo,
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dimension,
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dimensionLength,
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xTadShapeInfo,
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xTadOffset,
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zTadShapeInfo,
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2019-11-13 15:15:18 +01:00
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zTadOffset, start, stop), BROADCAST_OPS);
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2019-06-06 14:21:15 +02:00
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}
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template <typename X, typename Y, typename Z>
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void Broadcast<X, Y, Z>::exec(const int opNum,
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void *x,
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Nd4jLong *xShapeInfo,
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void *y,
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Nd4jLong *yShapeInfo,
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void *z,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset,
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sd::LoopKind::Kind loopKind,
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2019-11-13 15:15:18 +01:00
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uint64_t start,
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uint64_t stop) {
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2019-06-06 14:21:15 +02:00
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DISPATCH_BY_OPNUM_TTT(exec, PARAMS(x,
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xShapeInfo,
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y,
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yShapeInfo,
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z,
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zShapeInfo,
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dimension,
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dimensionLength,
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xTadShapeInfo,
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xTadOffset,
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zTadShapeInfo,
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2020-02-17 14:25:10 +01:00
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zTadOffset, loopKind, start, stop), BROADCAST_OPS);
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2019-06-06 14:21:15 +02:00
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}
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2020-03-10 14:29:09 +01:00
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2019-06-06 14:21:15 +02:00
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template <typename X, typename Y, typename Z>
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template<typename OpType>
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void Broadcast<X, Y, Z>::exec(void *vx,
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Nd4jLong *xShapeInfo,
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void *vy,
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Nd4jLong *yShapeInfo,
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void *vz,
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Nd4jLong *zShapeInfo,
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int *dimension,
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int dimensionLength,
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Nd4jLong *xTadShapeInfo,
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Nd4jLong *xTadOffset,
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Nd4jLong *zTadShapeInfo,
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Nd4jLong *zTadOffset,
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2020-03-02 10:49:41 +01:00
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sd::LoopKind::Kind loopKind,
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2019-11-13 15:15:18 +01:00
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uint64_t start,
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uint64_t stop) {
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2019-06-06 14:21:15 +02:00
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auto x = reinterpret_cast<X *>(vx);
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auto y = reinterpret_cast<Y *>(vy);
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auto z = reinterpret_cast<Z *>(vz);
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//decompose in to several sub tads after
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//moving all dimensions (in sorted order)
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//to the back.
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//permuted version of the x shape info for setting up the tad problem
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auto xTadShapeShapeInfo = xTadShapeInfo;
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auto tadOffsets = xTadOffset;
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if (xTadShapeInfo == nullptr || tadOffsets == nullptr) {
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2020-03-02 10:49:41 +01:00
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auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(xShapeInfo, dimension, dimensionLength);
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2019-06-06 14:21:15 +02:00
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xTadShapeShapeInfo = tadPack.primaryShapeInfo();
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tadOffsets = tadPack.primaryOffsets();
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}
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//int *resultStride = shape::stride(xTadShapeShapeInfo);
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unsigned int tadLength = shape::length(xTadShapeShapeInfo);//shape::length(xTadShapeShapeInfo);
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unsigned int tads = shape::length(xShapeInfo) / tadLength;
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if (zTadShapeInfo == nullptr) {
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zTadShapeInfo = xTadShapeShapeInfo;
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zTadOffset = tadOffsets;
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}
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auto lenZ = shape::length(zTadShapeInfo);
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auto lenY = shape::length(yShapeInfo);
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auto xEws = shape::elementWiseStride(xTadShapeShapeInfo);
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auto yEws = shape::elementWiseStride(yShapeInfo);
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auto zEws = shape::elementWiseStride(zTadShapeInfo);
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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2020-03-02 10:49:41 +01:00
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const sd::LoopKind::Kind kindOfLoop =
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(loopKind == sd::LoopKind::BROADCAST_SCALAR_X ||
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loopKind == sd::LoopKind::BROADCAST_SCALAR_Y ||
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loopKind == sd::LoopKind::BROADCAST_3D ||
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loopKind == sd::LoopKind::BROADCAST_4D ||
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loopKind == sd::LoopKind::BROADCAST_5D)
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? loopKind : sd::LoopKind::deduceKindOfLoopXYZ(xTadShapeShapeInfo, yShapeInfo, zTadShapeInfo);
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2020-03-02 10:49:41 +01:00
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if (kindOfLoop == sd::LoopKind::EWS1) {
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2019-11-13 15:15:18 +01:00
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for (auto i = start; i < stop; i++) {
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auto oX = x + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++)
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oZ[f] = OpType::op(oX[f], y[f]);
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2019-06-06 14:21:15 +02:00
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}
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}
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2020-03-02 10:49:41 +01:00
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else if(kindOfLoop == sd::LoopKind::EWSNONZERO){
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2019-11-13 15:15:18 +01:00
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for (auto i = start; i < stop; i++) {
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auto oX = x + tadOffsets[i];
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auto oZ = z + zTadOffset[i];
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PRAGMA_OMP_SIMD
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for (unsigned int f = 0; f < tadLength; f++)
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oZ[f * zEws] = OpType::op(oX[f * xEws], y[f * yEws]);
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}
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2020-03-02 10:49:41 +01:00
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} else if(kindOfLoop == sd::LoopKind::BROADCAST_SCALAR_X){
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2020-02-17 14:25:10 +01:00
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// this loop effectively turns broadcast into series of scalar ops
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auto loopLength = yShapeInfo[shape::rank(yShapeInfo)];
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for (auto i = start; i < stop; i++) {
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auto oY = y + (i * loopLength);
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auto oZ = z + (i * loopLength);
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const auto oX = x[i];
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PRAGMA_OMP_SIMD
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2020-02-26 19:12:19 +01:00
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for (Nd4jLong f = 0; f < loopLength; f++)
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2020-02-17 14:25:10 +01:00
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oZ[f] = OpType::op(oX, oY[f]);
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}
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2020-03-02 10:49:41 +01:00
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} else if(kindOfLoop == sd::LoopKind::BROADCAST_SCALAR_Y){
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2020-02-17 14:25:10 +01:00
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// this loop effectively turns broadcast into series of scalar ops
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auto loopLength = xShapeInfo[shape::rank(xShapeInfo)];
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for (auto i = start; i < stop; i++) {
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auto oX = x + (i * loopLength);
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auto oZ = z + (i * loopLength);
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const auto oY = y[i];
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PRAGMA_OMP_SIMD
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2020-02-26 19:12:19 +01:00
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for (Nd4jLong f = 0; f < loopLength; f++)
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2020-02-17 14:25:10 +01:00
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oZ[f] = OpType::op(oX[f], oY);
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}
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2019-06-06 14:21:15 +02:00
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}
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2020-03-02 10:49:41 +01:00
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else if (kindOfLoop == sd::LoopKind::BROADCAST_3D) {
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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int xRank = shape::rank(xShapeInfo);
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int yRank = shape::rank(yShapeInfo);
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auto xStrides = shape::stride(xShapeInfo);
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auto zStrides = shape::stride(zShapeInfo);
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Nd4jLong yStrides[3] = { 0,0,0 };
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2020-03-02 10:49:41 +01:00
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sd::ShapeUtils::copyCertainStridesFromShapeInfo(yShapeInfo, xRank, dimensionLength, dimension, yStrides);
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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2020-02-26 19:12:19 +01:00
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uint64_t nSize1 = shape::sizeAt(zShapeInfo, 1);
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uint64_t nSize2 = shape::sizeAt(zShapeInfo, 2);
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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2020-02-26 19:12:19 +01:00
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for (auto index0 = start; index0 < stop; index0++) {
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Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
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PRAGMA_OMP_SIMD
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2020-02-26 19:12:19 +01:00
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for (uint64_t index1 = 0; index1 < nSize1; index1++) {
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|
|
for (uint64_t index2 = 0; index2 < nSize2; index2++) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
auto rX = x + (xStrides[0] * index0 + xStrides[1] * index1 + xStrides[2] * index2);
|
|
|
|
auto rY = y + (yStrides[0] * index0 + yStrides[1] * index1 + yStrides[2] * index2);
|
|
|
|
auto rZ = z + (zStrides[0] * index0 + zStrides[1] * index1 + zStrides[2] * index2);
|
|
|
|
*rZ = OpType::op(*rX, *rY);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
2020-03-02 10:49:41 +01:00
|
|
|
else if (kindOfLoop == sd::LoopKind::BROADCAST_4D) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
|
|
|
int xRank = shape::rank(xShapeInfo);
|
|
|
|
int yRank = shape::rank(yShapeInfo);
|
|
|
|
|
|
|
|
auto xStrides = shape::stride(xShapeInfo);
|
|
|
|
auto zStrides = shape::stride(zShapeInfo);
|
|
|
|
|
|
|
|
Nd4jLong yStrides[4] = { 0,0,0,0 };
|
2020-03-02 10:49:41 +01:00
|
|
|
sd::ShapeUtils::copyCertainStridesFromShapeInfo(yShapeInfo, xRank, dimensionLength, dimension, yStrides);
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
2020-02-26 19:12:19 +01:00
|
|
|
uint64_t nSize1 = shape::sizeAt(zShapeInfo, 1);
|
|
|
|
uint64_t nSize2 = shape::sizeAt(zShapeInfo, 2);
|
|
|
|
uint64_t nSize3 = shape::sizeAt(zShapeInfo, 3);
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
2020-02-26 19:12:19 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
2020-02-26 19:12:19 +01:00
|
|
|
uint64_t index0 = i / nSize1;
|
|
|
|
uint64_t index1 = i % nSize1;
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (uint64_t index2 = 0; index2 < nSize2; index2++) {
|
|
|
|
for (uint64_t index3 = 0; index3 < nSize3; index3++) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
auto rX = x + (xStrides[0] * index0 + xStrides[1] * index1 + xStrides[2] * index2 + xStrides[3] * index3);
|
|
|
|
auto rY = y + (yStrides[0] * index0 + yStrides[1] * index1 + yStrides[2] * index2 + yStrides[3] * index3);
|
|
|
|
auto rZ = z + (zStrides[0] * index0 + zStrides[1] * index1 + zStrides[2] * index2 + zStrides[3] * index3);
|
|
|
|
*rZ = OpType::op(*rX, *rY);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
2020-03-02 10:49:41 +01:00
|
|
|
else if (kindOfLoop == sd::LoopKind::BROADCAST_5D) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
|
|
|
int xRank = shape::rank(xShapeInfo);
|
|
|
|
int yRank = shape::rank(yShapeInfo);
|
|
|
|
|
|
|
|
auto xStrides = shape::stride(xShapeInfo);
|
|
|
|
auto zStrides = shape::stride(zShapeInfo);
|
|
|
|
|
|
|
|
Nd4jLong yStrides[5] = { 0,0,0,0,0 };
|
2020-03-02 10:49:41 +01:00
|
|
|
sd::ShapeUtils::copyCertainStridesFromShapeInfo(yShapeInfo, xRank, dimensionLength, dimension, yStrides);
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
|
|
|
uint32_t nSize1 = shape::sizeAt(zShapeInfo, 1);
|
|
|
|
uint32_t nSize2 = shape::sizeAt(zShapeInfo, 2);
|
|
|
|
uint32_t nSize3 = shape::sizeAt(zShapeInfo, 3);
|
|
|
|
uint32_t nSize4 = shape::sizeAt(zShapeInfo, 4);
|
|
|
|
|
2020-02-26 19:12:19 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
Oleh broadcast4d (#257)
* libnd4j raw implementation of native broadcast for special cases
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j fixed bugs for special case of 4D loop broadcast, add some tests, need more testing and discussion
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j added 3D and 5D cases support and tests, need testing with different orders
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j correctd case selection for broadcast 3,4,5D loops, fixed several places for more stable behavior, clean up
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j minor corrections to avoid some risks in strides selection, added tests and rename some variables
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j optimize usage the stride selection for all loops in separate ShapeUtils method copyCertainStridesFromShapeInfo, merge master
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j remove per request several tests for 3D, 4D and 5D broadcast loops
Signed-off-by: Oleg <oleg.semeniv@gmail.com>
* libnd4j removed some loac changes that had not been sync with serve playground, turn on new loops usage
2020-02-21 05:46:05 +01:00
|
|
|
|
|
|
|
uint32_t index0 = i / nSize1;
|
|
|
|
uint32_t index1 = i % nSize1;
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
|
|
|
for (uint32_t index2 = 0; index2 < nSize2; index2++) {
|
|
|
|
for (uint32_t index3 = 0; index3 < nSize3; index3++) {
|
|
|
|
for (uint32_t index4 = 0; index4 < nSize4; index4++) {
|
|
|
|
auto rX = x + (xStrides[0] * index0 + xStrides[1] * index1 + xStrides[2] * index2 + xStrides[3] * index3 + xStrides[4] * index4);
|
|
|
|
auto rY = y + (yStrides[0] * index0 + yStrides[1] * index1 + yStrides[2] * index2 + yStrides[3] * index3 + yStrides[4] * index4);
|
|
|
|
auto rZ = z + (zStrides[0] * index0 + zStrides[1] * index1 + zStrides[2] * index2 + zStrides[3] * index3 + zStrides[4] * index4);
|
|
|
|
|
|
|
|
*rZ = OpType::op(*rX, *rY);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
}
|
2019-06-06 14:21:15 +02:00
|
|
|
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo) && shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oX = x + tadOffsets[i];
|
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-09-11 19:12:09 +02:00
|
|
|
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(oX[offset], y[offset]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, yShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-09-11 19:12:09 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oX = x + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[zOffset] = OpType::op(oX[offset], y[offset]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(xTadShapeShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint yShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oX = x + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto offset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(oX[offset], y[yOffset]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(yShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint yShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oX = x + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto offset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(oX[xOffset], y[offset]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
else {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
|
|
|
uint yShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yShapeInfo, yShapeInfoCast);
|
|
|
|
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oX = x + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto xOffset = shape::indexOffset(f, xTadShapeShapeInfo, tadShapeShapeInfoCast, canCastX);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto yOffset = shape::indexOffset(f, yShapeInfo, yShapeInfoCast, canCastY);
|
2019-11-13 15:15:18 +01:00
|
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[zOffset] = OpType::op(oX[xOffset], y[yOffset]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
template <typename X, typename Y, typename Z>
|
|
|
|
template<typename OpType>
|
|
|
|
void Broadcast<X, Y, Z>::execInverse(void *vx,
|
|
|
|
Nd4jLong *xShapeInfo,
|
|
|
|
void *vy,
|
|
|
|
Nd4jLong *yShapeInfo,
|
|
|
|
void *vz,
|
|
|
|
Nd4jLong *zShapeInfo,
|
|
|
|
int *dimension,
|
|
|
|
int dimensionLength,
|
|
|
|
Nd4jLong *yTadShapeInfo,
|
|
|
|
Nd4jLong *yTadOffset,
|
|
|
|
Nd4jLong *zTadShapeInfo,
|
2019-11-13 15:15:18 +01:00
|
|
|
Nd4jLong *zTadOffset,
|
|
|
|
uint64_t start,
|
|
|
|
uint64_t stop) {
|
2019-06-06 14:21:15 +02:00
|
|
|
|
|
|
|
auto x = reinterpret_cast<X *>(vx);
|
|
|
|
auto y = reinterpret_cast<Y *>(vy);
|
|
|
|
auto z = reinterpret_cast<Z *>(vz);
|
|
|
|
|
|
|
|
//decompose in to several sub tads after
|
|
|
|
//moving all dimensions (in sorted order)
|
|
|
|
//to the back.
|
|
|
|
//permuted version of the x shape info for setting up the tad problem
|
|
|
|
auto yTadShapeShapeInfo = yTadShapeInfo;
|
|
|
|
auto tadOffsets = yTadOffset;
|
|
|
|
|
|
|
|
if (yTadShapeInfo == nullptr || tadOffsets == nullptr) {
|
2020-03-02 10:49:41 +01:00
|
|
|
auto tadPack = sd::ConstantTadHelper::getInstance()->tadForDimensions(yShapeInfo, dimension, dimensionLength);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
|
|
|
yTadShapeShapeInfo = tadPack.primaryShapeInfo();
|
|
|
|
tadOffsets = tadPack.primaryOffsets();
|
|
|
|
}
|
|
|
|
|
|
|
|
//int *resultStride = shape::stride(yTadShapeShapeInfo);
|
|
|
|
unsigned int tadLength = shape::length(yTadShapeShapeInfo);
|
|
|
|
unsigned int tads = shape::length(yShapeInfo) / tadLength;
|
|
|
|
|
|
|
|
if (zTadShapeInfo == nullptr) {
|
|
|
|
zTadShapeInfo = yTadShapeShapeInfo;
|
|
|
|
zTadOffset = tadOffsets;
|
|
|
|
}
|
|
|
|
|
|
|
|
auto lenZ = shape::length(zTadShapeInfo);
|
|
|
|
auto lenX = shape::length(xShapeInfo);
|
|
|
|
|
|
|
|
int tadsPerThread = tads / TAD_THRESHOLD;
|
2020-03-02 10:49:41 +01:00
|
|
|
int threads = sd::math::nd4j_max<int>(1, tadsPerThread);
|
|
|
|
threads = sd::math::nd4j_min<int>(threads, sd::Environment::getInstance()->maxThreads());
|
2019-06-06 14:21:15 +02:00
|
|
|
|
|
|
|
auto yEws = shape::elementWiseStride(yTadShapeShapeInfo);
|
|
|
|
auto xEws = shape::elementWiseStride(xShapeInfo);
|
|
|
|
auto zEws = shape::elementWiseStride(zTadShapeInfo);
|
|
|
|
|
2020-03-02 10:49:41 +01:00
|
|
|
const sd::LoopKind::Kind kindOfLoop = sd::LoopKind::deduceKindOfLoopXYZ(yTadShapeShapeInfo, xShapeInfo, zTadShapeInfo);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2020-03-02 10:49:41 +01:00
|
|
|
if(kindOfLoop == sd::LoopKind::EWS1) {
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
|
|
|
for (unsigned int f = 0; f < tadLength; f++)
|
|
|
|
oZ[f] = OpType::op(x[f], oY[f]);
|
|
|
|
}
|
|
|
|
}
|
2020-03-02 10:49:41 +01:00
|
|
|
else if(kindOfLoop == sd::LoopKind::EWSNONZERO) {
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
|
|
|
for (unsigned int f = 0; f < tadLength; f++)
|
|
|
|
oZ[f * zEws] = OpType::op(x[f * xEws], oY[f * yEws]);
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, xShapeInfo) && shape::haveSameShapeAndStrides(yTadShapeShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oY = x + tadOffsets[i];
|
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-09-11 19:12:09 +02:00
|
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(x[offset], oY[offset]);
|
|
|
|
}
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, xShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[zOffset] = OpType::op(x[offset], oY[offset]);
|
|
|
|
}
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(yTadShapeShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint xShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto offset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto xOffset = shape::indexOffset(f, yShapeInfo, xShapeInfoCast, canCastX);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(x[xOffset], oY[offset]);
|
|
|
|
}
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
else if(shape::haveSameShapeAndStrides(xShapeInfo, zTadShapeInfo)) {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint xShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-11-13 15:15:18 +01:00
|
|
|
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
|
2019-09-11 19:12:09 +02:00
|
|
|
auto offset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, canCastX);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[offset] = OpType::op(x[offset], oY[yOffset]);
|
|
|
|
}
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
else {
|
|
|
|
uint tadShapeShapeInfoCast[MAX_RANK];
|
|
|
|
uint tadShapeInfoZCast[MAX_RANK];
|
|
|
|
uint xShapeInfoCast[MAX_RANK];
|
2020-03-02 10:49:41 +01:00
|
|
|
bool canCastX = sd::DataTypeUtils::castShapeInfo(xShapeInfo, xShapeInfoCast);
|
|
|
|
bool canCastY = sd::DataTypeUtils::castShapeInfo(yTadShapeShapeInfo, tadShapeShapeInfoCast);
|
|
|
|
bool canCastZ = sd::DataTypeUtils::castShapeInfo(zTadShapeInfo, tadShapeInfoZCast);
|
2019-06-06 14:21:15 +02:00
|
|
|
|
2019-11-13 15:15:18 +01:00
|
|
|
for (auto i = start; i < stop; i++) {
|
2019-06-06 14:21:15 +02:00
|
|
|
auto oZ = z + zTadOffset[i];
|
|
|
|
auto oY = y + tadOffsets[i];
|
|
|
|
|
|
|
|
PRAGMA_OMP_SIMD
|
2020-02-26 19:12:19 +01:00
|
|
|
for (unsigned int f = 0; f < tadLength; f++) {
|
2019-09-11 19:12:09 +02:00
|
|
|
auto xOffset = shape::indexOffset(f, xShapeInfo, xShapeInfoCast, canCastX);
|
2019-11-13 15:15:18 +01:00
|
|
|
auto yOffset = shape::indexOffset(f, yTadShapeShapeInfo, tadShapeShapeInfoCast, canCastY);
|
|
|
|
auto zOffset = shape::indexOffset(f, zTadShapeInfo, tadShapeInfoZCast, canCastZ);
|
2019-06-06 14:21:15 +02:00
|
|
|
oZ[zOffset] = OpType::op(x[xOffset], oY[yOffset]);
|
|
|
|
}
|
2019-11-13 15:15:18 +01:00
|
|
|
};
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z>
|
|
|
|
void Broadcast<X, Y, Z>::exec(const int opNum, const void *x, const Nd4jLong *xShapeInfo, const void *y, const Nd4jLong *yShapeInfo, void *z, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
DISPATCH_BY_OPNUM_TTT(exec, PARAMS(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo), BROADCAST_OPS);
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
2020-03-12 16:25:54 +01:00
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execRank1(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
uint zAxis0 = shape::sizeAt(zShapeInfo, 0);
|
|
|
|
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, 0);
|
|
|
|
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, 0);
|
|
|
|
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, 0);
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
auto func = PRAGMA_THREADS_FOR{
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
if(zStrd0 == 1 && xStrd0 == 1 && yStrd0 == 0) {
|
|
|
|
for (auto i0 = start; i0 < stop; ++i0)
|
|
|
|
z[i0] = OpType::op(x[i0], *y);
|
|
|
|
}
|
|
|
|
else if(zStrd0 == 1 && xStrd0 == 0 && yStrd0 == 1) {
|
|
|
|
for (auto i0 = start; i0 < stop; ++i0)
|
|
|
|
z[i0] = OpType::op(*x, y[i0]);
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
else if(zStrd0 == 1 && xStrd0 == 1 && yStrd0 == 1) {
|
|
|
|
for (auto i0 = start; i0 < stop; ++i0)
|
|
|
|
z[i0] = OpType::op(x[i0], y[i0]);
|
|
|
|
}
|
|
|
|
else {
|
|
|
|
for (auto i0 = start; i0 < stop; ++i0)
|
|
|
|
z[i0 * zStrd0] = OpType::op(x[i0 * xStrd0], y[i0 * yStrd0]);
|
|
|
|
}
|
|
|
|
};
|
|
|
|
samediff::Threads::parallel_tad(func, 0, zAxis0);
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execRank2(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
|
|
|
|
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
|
|
|
|
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
|
|
|
|
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 1);
|
|
|
|
|
|
|
|
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
|
|
|
|
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
|
|
|
|
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
|
|
|
|
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 0);
|
|
|
|
|
|
|
|
auto func = PRAGMA_THREADS_FOR{
|
|
|
|
|
|
|
|
for (auto i0 = start; i0 < stop; ++i0) {
|
|
|
|
|
|
|
|
auto x0 = x + i0 * xStrd0;
|
|
|
|
auto y0 = y + i0 * yStrd0;
|
|
|
|
auto z0 = z + i0 * zStrd0;
|
|
|
|
|
|
|
|
if(zStrd1 == 1 && xStrd1 == 1 && yStrd1 == 0)
|
|
|
|
for (uint i1 = 0; i1 < zAxis1; ++i1)
|
|
|
|
z0[i1] = OpType::op(x0[i1], *y0);
|
|
|
|
else if(zStrd1 == 1 && xStrd1 == 0 && yStrd1 == 1)
|
|
|
|
for (uint i1 = 0; i1 < zAxis1; ++i1)
|
|
|
|
z0[i1] = OpType::op(*x0, y0[i1]);
|
|
|
|
else if(zStrd1 == 1 && xStrd1 == 1 && yStrd1 == 1)
|
|
|
|
for (uint i1 = 0; i1 < zAxis1; ++i1)
|
|
|
|
z0[i1] = OpType::op(x0[i1], y0[i1]);
|
|
|
|
else
|
|
|
|
for (uint i1 = 0; i1 < zAxis1; ++i1)
|
|
|
|
z0[i1 * zStrd1] = OpType::op(x0[i1 * xStrd1], y0[i1 * yStrd1]);
|
|
|
|
}
|
|
|
|
};
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
samediff::Threads::parallel_tad(func, 0, zAxis0);
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execRank3(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
|
|
|
|
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
|
|
|
|
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
|
|
|
|
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 2);
|
|
|
|
|
|
|
|
uint zAxis1 = shape::sizeAt(zShapeInfo, 1);
|
|
|
|
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, 1);
|
|
|
|
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, 1);
|
|
|
|
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, 1);
|
|
|
|
|
|
|
|
uint zAxis2 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
|
|
|
|
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
|
|
|
|
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
|
|
|
|
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 0);
|
|
|
|
|
|
|
|
auto func = PRAGMA_THREADS_FOR_2D {
|
|
|
|
|
|
|
|
for (auto i0 = start_x; i0 < stop_x; ++i0) {
|
|
|
|
for (auto i1 = start_y; i1 < stop_y; ++i1) {
|
|
|
|
|
|
|
|
auto x1 = x + i0 * xStrd0 + i1 * xStrd1;
|
|
|
|
auto y1 = y + i0 * yStrd0 + i1 * yStrd1;
|
|
|
|
auto z1 = z + i0 * zStrd0 + i1 * zStrd1;
|
|
|
|
|
|
|
|
if(zStrd2 == 1 && xStrd2 == 1 && yStrd2 == 0)
|
|
|
|
for (uint i2 = 0; i2 < zAxis2; ++i2)
|
|
|
|
z1[i2] = OpType::op(x1[i2], *y1);
|
|
|
|
else if(zStrd2 == 1 && xStrd2 == 0 && yStrd2 == 1)
|
|
|
|
for (uint i2 = 0; i2 < zAxis2; ++i2)
|
|
|
|
z1[i2] = OpType::op(*x1, y1[i2]);
|
|
|
|
else if(zStrd2 == 1 && xStrd2 == 1 && yStrd2 == 1)
|
|
|
|
for (uint i2 = 0; i2 < zAxis2; ++i2)
|
|
|
|
z1[i2] = OpType::op(x1[i2], y1[i2]);
|
|
|
|
else
|
|
|
|
for (uint i2 = 0; i2 < zAxis2; ++i2)
|
|
|
|
z1[i2 * zStrd2] = OpType::op(x1[i2 * xStrd2], y1[i2 * yStrd2]);
|
|
|
|
}
|
|
|
|
}
|
|
|
|
};
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1);
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execRank4(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
|
|
|
|
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
|
|
|
|
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
|
|
|
|
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 3);
|
|
|
|
|
|
|
|
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
|
|
|
|
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
|
|
|
|
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
|
|
|
|
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 2);
|
|
|
|
|
|
|
|
uint zAxis2 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
|
|
|
|
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
|
|
|
|
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
|
|
|
|
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 2 : 1);
|
|
|
|
|
|
|
|
uint zAxis3 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
|
|
|
|
Nd4jLong xStrd3 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
|
|
|
|
Nd4jLong yStrd3 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
|
|
|
|
Nd4jLong zStrd3 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 0);
|
|
|
|
|
|
|
|
auto func = PRAGMA_THREADS_FOR_3D {
|
|
|
|
|
|
|
|
for (auto i0 = start_x; i0 < stop_x; ++i0) {
|
|
|
|
for (auto i1 = start_y; i1 < stop_y; ++i1) {
|
|
|
|
for (auto i2 = start_z; i2 < stop_z; ++i2) {
|
|
|
|
|
|
|
|
auto x2 = x + i0 * xStrd0 + i1 * xStrd1 + i2 * xStrd2;
|
|
|
|
auto y2 = y + i0 * yStrd0 + i1 * yStrd1 + i2 * yStrd2;
|
|
|
|
auto z2 = z + i0 * zStrd0 + i1 * zStrd1 + i2 * zStrd2;
|
|
|
|
|
|
|
|
if(zStrd3 == 1 && xStrd3 == 1 && yStrd3 == 0)
|
|
|
|
for (uint i3 = 0; i3 < zAxis3; ++i3)
|
|
|
|
z2[i3] = OpType::op(x2[i3], *y2);
|
|
|
|
else if(zStrd3 == 1 && xStrd3 == 0 && yStrd3 == 1)
|
|
|
|
for (uint i3 = 0; i3 < zAxis3; ++i3)
|
|
|
|
z2[i3] = OpType::op(*x2, y2[i3]);
|
|
|
|
else if(zStrd3 == 1 && xStrd3 == 1 && yStrd3 == 1)
|
|
|
|
for (uint i3 = 0; i3 < zAxis3; ++i3)
|
|
|
|
z2[i3] = OpType::op(x2[i3], y2[i3]);
|
2020-03-10 14:29:09 +01:00
|
|
|
else
|
2020-03-12 16:25:54 +01:00
|
|
|
for (uint i3 = 0; i3 < zAxis3; ++i3)
|
|
|
|
z2[i3 * zStrd3] = OpType::op(x2[i3 * xStrd3], y2[i3 * yStrd3]);
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
};
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1, 0,zAxis2,1);
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execRank5(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
uint zAxis0 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
|
|
|
|
Nd4jLong xStrd0 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
|
|
|
|
Nd4jLong yStrd0 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
|
|
|
|
Nd4jLong zStrd0 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 0 : 4);
|
|
|
|
|
|
|
|
uint zAxis1 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
|
|
|
|
Nd4jLong xStrd1 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
|
|
|
|
Nd4jLong yStrd1 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
|
|
|
|
Nd4jLong zStrd1 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 1 : 3);
|
|
|
|
|
|
|
|
uint zAxis2 = shape::sizeAt(zShapeInfo, 2);
|
|
|
|
Nd4jLong xStrd2 = shape::strideAt(xShapeInfo, 2);
|
|
|
|
Nd4jLong yStrd2 = shape::strideAt(yShapeInfo, 2);
|
|
|
|
Nd4jLong zStrd2 = shape::strideAt(zShapeInfo, 2);
|
|
|
|
|
|
|
|
uint zAxis3 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
|
|
|
|
Nd4jLong xStrd3 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
|
|
|
|
Nd4jLong yStrd3 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
|
|
|
|
Nd4jLong zStrd3 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 3 : 1);
|
|
|
|
|
|
|
|
uint zAxis4 = shape::sizeAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
|
|
|
|
Nd4jLong xStrd4 = shape::strideAt(xShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
|
|
|
|
Nd4jLong yStrd4 = shape::strideAt(yShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
|
|
|
|
Nd4jLong zStrd4 = shape::strideAt(zShapeInfo, shape::order(zShapeInfo) == 'c' ? 4 : 0);
|
|
|
|
|
|
|
|
auto func = PRAGMA_THREADS_FOR_3D {
|
|
|
|
|
|
|
|
for (auto i0 = start_x; i0 < stop_x; ++i0) {
|
|
|
|
for (auto i1 = start_y; i1 < stop_y; ++i1) {
|
|
|
|
for (auto i2 = start_z; i2 < stop_z; ++i2) {
|
|
|
|
for (uint i3 = 0; i3 < zAxis3; ++i3) {
|
|
|
|
|
|
|
|
auto x3 = x + i0 * xStrd0 + i1 * xStrd1 + i2 * xStrd2 + i3 * xStrd3;
|
|
|
|
auto y3 = y + i0 * yStrd0 + i1 * yStrd1 + i2 * yStrd2 + i3 * yStrd3;
|
|
|
|
auto z3 = z + i0 * zStrd0 + i1 * zStrd1 + i2 * zStrd2 + i3 * zStrd3;
|
|
|
|
|
|
|
|
if(zStrd4 == 1 && xStrd4 == 1 && yStrd4 == 0)
|
|
|
|
for (uint i4 = 0; i4 < zAxis4; ++i4)
|
|
|
|
z3[i4] = OpType::op(x3[i4], *y3);
|
|
|
|
else if(zStrd4 == 1 && xStrd4 == 0 && yStrd4 == 1)
|
|
|
|
for (uint i4 = 0; i4 < zAxis4; ++i4)
|
|
|
|
z3[i4] = OpType::op(*x3, y3[i4]);
|
|
|
|
else if(zStrd4 == 1 && xStrd4 == 1 && yStrd4 == 1)
|
|
|
|
for (uint i4 = 0; i4 < zAxis4; ++i4)
|
|
|
|
z3[i4] = OpType::op(x3[i4], y3[i4]);
|
2020-03-10 14:29:09 +01:00
|
|
|
else
|
2020-03-12 16:25:54 +01:00
|
|
|
for (uint i4 = 0; i4 < zAxis4; ++i4)
|
|
|
|
z3[i4 * zStrd4] = OpType::op(x3[i4 * xStrd4], y3[i4 * yStrd4]);
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
};
|
|
|
|
|
|
|
|
samediff::Threads::parallel_for(func, 0,zAxis0,1, 0,zAxis1,1, 0,zAxis2,1);
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z, typename OpType>
|
|
|
|
static void execDefault(const X *x, const Nd4jLong *xShapeInfo, const Y *y, const Nd4jLong *yShapeInfo, Z* z, const Nd4jLong *zShapeInfo) {
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
const bool xzSameOffsets = shape::haveSameShapeAndStrides(xShapeInfo, zShapeInfo);
|
|
|
|
const bool yzSameOffsets = shape::haveSameShapeAndStrides(yShapeInfo, zShapeInfo);
|
2020-03-11 15:58:53 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
const int rank = shape::rank(zShapeInfo); // xRank = yRank = zRank
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
auto func = PRAGMA_THREADS_FOR{
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
int xCoords[MAX_RANK], yCoords[MAX_RANK], zCoords[MAX_RANK];
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
for (auto i = start; i < stop; ++i) {
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
shape::index2coordsCPU(start, i, zShapeInfo, zCoords);
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
for (uint j = 0; j < rank; ++j) {
|
|
|
|
xCoords[j] = shape::sizeAt(xShapeInfo, j) == 1 ? 0 : zCoords[j];
|
|
|
|
yCoords[j] = shape::sizeAt(yShapeInfo, j) == 1 ? 0 : zCoords[j];
|
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
const auto zOffset = shape::getOffset(zShapeInfo, zCoords);
|
|
|
|
const auto xOffset = xzSameOffsets ? zOffset : shape::getOffset(xShapeInfo, xCoords);
|
|
|
|
const auto yOffset = yzSameOffsets ? zOffset : shape::getOffset(yShapeInfo, yCoords);
|
2020-03-10 14:29:09 +01:00
|
|
|
|
2020-03-12 16:25:54 +01:00
|
|
|
z[zOffset] = OpType::op(x[xOffset], y[yOffset]);
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
2020-03-12 16:25:54 +01:00
|
|
|
};
|
|
|
|
|
|
|
|
samediff::Threads::parallel_for(func, 0, shape::length(zShapeInfo));
|
|
|
|
}
|
|
|
|
|
|
|
|
////////////////////////////////////////////////////////////////////////
|
|
|
|
template <typename X, typename Y, typename Z>
|
|
|
|
template<typename OpType>
|
|
|
|
void Broadcast<X, Y, Z>::exec(const void *vx, const Nd4jLong *xShapeInfo, const void *vy, const Nd4jLong *yShapeInfo, void *vz, const Nd4jLong *zShapeInfo) {
|
|
|
|
|
|
|
|
const X* x = reinterpret_cast<const X*>(vx);
|
|
|
|
const Y* y = reinterpret_cast<const Y*>(vy);
|
|
|
|
Z* z = reinterpret_cast<Z*>(vz);
|
|
|
|
|
|
|
|
const int rank = shape::rank(zShapeInfo); // xRank = yRank = zRank
|
|
|
|
|
|
|
|
switch (rank) {
|
|
|
|
|
|
|
|
case 1:
|
|
|
|
execRank1<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
|
|
|
break;
|
|
|
|
case 2:
|
|
|
|
execRank2<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
|
|
|
break;
|
|
|
|
case 3:
|
|
|
|
execRank3<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
|
|
|
break;
|
|
|
|
case 4:
|
|
|
|
execRank4<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
|
|
|
break;
|
|
|
|
case 5:
|
|
|
|
execRank5<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
|
|
|
break;
|
|
|
|
default:
|
|
|
|
execDefault<X,Y,Z, OpType>(x, xShapeInfo, y, yShapeInfo, z, zShapeInfo);
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|
2020-03-10 14:29:09 +01:00
|
|
|
}
|
|
|
|
|
|
|
|
}
|
2019-06-06 14:21:15 +02:00
|
|
|
}
|