* [WIP] Fix compilation after nd4j changes (#37) * Fix compilation. * Some tests fixed * Disable tests temporarily. * Restored test * Tests restored. * Test restored. * [WIP] perf tests (#40) * special maxpool test Signed-off-by: raver119 <raver119@gmail.com> * special maxpool test Signed-off-by: raver119 <raver119@gmail.com> * Shyrma bnorm bp (#41) Batchnorm backprop mkldnn * Add SameDiff memory reuse memory manager (array cache) (#39) * Attention op comments Signed-off-by: AlexDBlack <blacka101@gmail.com> * ArrayCacheMemoryMgr - first pass Signed-off-by: AlexDBlack <blacka101@gmail.com> * Tweak array cache for use with SameDiff identity arrays Signed-off-by: AlexDBlack <blacka101@gmail.com> * ArrayCacheMemoryMgr javadoc and properly get max memory Signed-off-by: AlexDBlack <blacka101@gmail.com> * LRU cache policy + add tests Signed-off-by: AlexDBlack <blacka101@gmail.com> * Fixes Signed-off-by: AlexDBlack <blacka101@gmail.com> * Resize arrays internally if required for ArrayCacheMemoryMgr Signed-off-by: AlexDBlack <blacka101@gmail.com> * Test improvement Signed-off-by: AlexDBlack <blacka101@gmail.com> * Small polish Signed-off-by: AlexDBlack <blacka101@gmail.com> * SameDiff op runtime benchmarking listener (#42) Signed-off-by: AlexDBlack <blacka101@gmail.com> * INLINE_LOOPS for windows Signed-off-by: raver119 <raver119@gmail.com> * [WIP] ThreadPool (#8) This PR removes OpenMP use in 95% of cases
		
			
				
	
	
		
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			86 lines
		
	
	
		
			4.3 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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| //
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| // Created by raver on 6/6/2018.
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| //
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| 
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| #include <op_boilerplate.h>
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| #include <pointercast.h>
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| #include <ops/declarable/BroadcastableOp.h>
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| #include <helpers/ShapeUtils.h>
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| 
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| namespace nd4j {
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|     namespace ops {
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|         BroadcastableOp::BroadcastableOp(const char *name, int numTArgs, int numIArgs) : DeclarableCustomOp::DeclarableCustomOp(2, 1, name, false, numTArgs, numIArgs) {
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|             //
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|         }
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| 
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|         ShapeList *BroadcastableOp::calculateOutputShape(ShapeList *inputShape, nd4j::graph::Context &block) {
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|             auto shapeList = SHAPELIST();
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|             auto x = inputShape->at(0);
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|             auto y = inputShape->at(1);
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|             auto outputs = _descriptor->getOutputTypesForOutput(0);
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|             nd4j::DataType dtype = block.dataType(0);
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|             if (block.dataType(0) != nd4j::DataType::BOOL && !(outputs.size() == 1 && outputs[0] == nd4j::DataType::BOOL)) {
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|                 if (Environment::getInstance()->isExperimentalBuild()) {
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|                     if (shape::length(y) > shape::length(x)) {
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|                         dtype = DataTypeUtils::pickPairwiseResultType(y, x);
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|                     } else {
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|                         dtype = DataTypeUtils::pickPairwiseResultType(x, y);
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|                     }
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|                 } else {
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|                     dtype = ArrayOptions::dataType(x);
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|                 }
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|             } else
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|                 dtype = nd4j::DataType::BOOL;
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| 
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|             if(shape::isEmpty(x) || shape::isEmpty(y)) {
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|                 // this is edge case, [3, 4] + [] = []
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|                 if ((shape::isEmpty(x) && shape::rank(x) == 0) || (shape::isEmpty(y) && shape::rank(y) == 0)) {
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|                     shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor::emptyDescriptor(dtype)));
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|                     return shapeList;
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|                 }
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| 
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| 
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|                 Nd4jLong *newshape = nullptr;
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|                 ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
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| 			} else if (shape::isScalar(x) && shape::isScalar(y)) {
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|                 if (shape::rank(x) >= shape::rank(y)) {
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|                     shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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|                 } else {
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|                     shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
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|                 }
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|             } else if (shape::equalsSoft(x, y)) {
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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|             } else if (shape::isScalar(x) && !shape::isScalar(y)) {
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(y, dtype)));
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|             } else if (!shape::isScalar(x) && shape::isScalar(y)) {
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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|             } else if (ShapeUtils::areShapesBroadcastable(x, y)) {
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|                 Nd4jLong *newshape = nullptr;
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|                 ShapeUtils::evalBroadcastShapeInfo(x, y, true, newshape, block.workspace());
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(newshape, dtype)));
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|             } else {
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|                 // in this case we'll throw exception later
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|                 shapeList->push_back(ConstantShapeHelper::getInstance()->createShapeInfo(ShapeDescriptor(x, dtype)));
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|             }
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| 
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|             return shapeList;
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|         }
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|     }
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| } |