78934c17ad
* - profiling of stack and unstack ops Signed-off-by: Yurii <iuriish@yahoo.com> * - fix bug in cpu concat op Signed-off-by: Yurii <iuriish@yahoo.com> * - correction of cuda stack and unstack Signed-off-by: Yurii <iuriish@yahoo.com> * - change shape.h method which operates with unity dimensions strides Signed-off-by: Yurii <iuriish@yahoo.com> * - rearrange stack tests Signed-off-by: Yurii <iuriish@yahoo.com> * - correct evaluation of smallest stride for moving through contiguous axis Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to update signature of function strideOverContigAxis in cuda concat and split ops Signed-off-by: Yurii <iuriish@yahoo.com> * - remove ShapeUtils::shapeAsString method applied before input arrays validations Signed-off-by: Yurii <iuriish@yahoo.com> * - further removing of ShapeUtils::shapeAsString Signed-off-by: Yurii <iuriish@yahoo.com> * - take sub-array shapeIndo/offset calculation out of NDArray class - add possibility of contiguous memory copy in execTransformAny op if opNum == assign Signed-off-by: Yurii <iuriish@yahoo.com> * - correct test_empty_scatter_2 in EmptyTests.cpp Signed-off-by: Yurii <iuriish@yahoo.com> * - profiling of slice op Signed-off-by: Yurii <iuriish@yahoo.com> * - get rid of contiguous memcpy for some cases in concat and split ops Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to declare oid nd4j::SpecialMethods<T>::splitCpuGeneric Signed-off-by: Yurii <iuriish@yahoo.com> * - correct typo in calculation of threads in cuda split op Signed-off-by: Yurii <iuriish@yahoo.com> * - forgot to correct another set of threads variables in split cuda ops Signed-off-by: Yurii <iuriish@yahoo.com> * - further conflicts resolving Signed-off-by: Yurii <iuriish@yahoo.com> Co-authored-by: raver119 <raver119@gmail.com>
77 lines
3.0 KiB
C++
77 lines
3.0 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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// Created by raver119 on 16.10.2017.
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//
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#include <helpers/ShapeUtils.h>
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#include <ops/declarable/LegacyPairwiseTransformOp.h>
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namespace sd {
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namespace ops {
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LegacyPairwiseTransformOp::LegacyPairwiseTransformOp() : LegacyOp::LegacyOp(2) {
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this->getOpDescriptor()->allowInplace(true);
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}
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LegacyPairwiseTransformOp::LegacyPairwiseTransformOp(int opNum) : LegacyOp::LegacyOp(2, opNum) {
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this->getOpDescriptor()->allowInplace(true);
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}
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LegacyOp* LegacyPairwiseTransformOp::clone() {
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return new LegacyPairwiseTransformOp(this->_opNum);
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}
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Nd4jStatus LegacyPairwiseTransformOp::validateAndExecute(Context &block) {
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auto x = INPUT_VARIABLE(0);
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auto y = INPUT_VARIABLE(1);
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auto z = OUTPUT_VARIABLE(0);
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NDArray::prepareSpecialUse({z}, {x, y});
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if (!x->isSameShape(y))
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REQUIRE_TRUE(x->isSameShape(y) || y->isScalar(), 0, "Node_%i: For Pairwise transforms shapes of both operands should be equal but got %s vs %s", block.getNodeId(), ShapeUtils::shapeAsString(x).c_str(), ShapeUtils::shapeAsString(y).c_str());
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int opNum = block.opNum() < 0 ? this->_opNum : block.opNum();
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ExtraArguments extras(*block.getTArguments());
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PointersManager manager(block.launchContext(), "LegacyPairwiseTransformOp");
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NativeOpExecutioner::execPairwiseTransform(block.launchContext(), opNum, x->getBuffer(), x->getShapeInfo(), x->specialBuffer(), x->specialShapeInfo(),
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y->getBuffer(), y->getShapeInfo(), y->specialBuffer(), y->specialShapeInfo(),
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z->getBuffer(), z->getShapeInfo(), z->specialBuffer(), z->specialShapeInfo(),
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extras.argumentsAsT(z->dataType()));
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manager.synchronize();
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STORE_RESULT(*z);
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return Status::OK();
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}
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/**
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* Output shape of PWT operations always the same as input[0] shape, no exclusions.
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*/
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ShapeList *LegacyPairwiseTransformOp::calculateOutputShape(ShapeList *inputShape, sd::graph::Context &block) {
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auto inShape = inputShape->at(0);
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Nd4jLong *newShape;
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COPY_SHAPE(inShape, newShape);
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return SHAPELIST(CONSTANT(newShape));
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}
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}
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} |