org.tensorics.core.tensor.options.BroadcastingStrategy Maven / Gradle / Ivy
Go to download
Show more of this group Show more artifacts with this name
Show all versions of tensorics-core Show documentation
Show all versions of tensorics-core Show documentation
Tensorics is a java framework which uses a tensor as a central object. A tensor represents a set of values placed in an N-dimensional space. Wherever you are tempted to use maps of maps, a tensor might be a good choice ;-) Tensorics provides methods to create, transform and performing calculations with those tensors.
// @formatter:off
/*******************************************************************************
*
* This file is part of tensorics.
*
* Copyright (c) 2008-2011, CERN. All rights reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
******************************************************************************/
// @formatter:on
package org.tensorics.core.tensor.options;
import java.util.Set;
import org.tensorics.core.commons.options.ManipulationOption;
import org.tensorics.core.tensor.Tensor;
import org.tensorics.core.tensor.TensorPair;
/**
* Implementations of this strategy type define how tensors shall be treated, if their dimensions do not match. A
* broadcasting strategy has to take care, that the two returned tensors have the same dimensions, but still might have
* different shape.
*
* @author kfuchsbe
*/
public interface BroadcastingStrategy extends ManipulationOption {
/**
* Has to broadcast the given to tensors into a new pair of tensors, that are consistent according to the
* broadcasting strategy in question.
*
* @param left the left tensor to broadcast
* @param right the right tensor to broadcast
* @param excludedDimensions a set of dimensions, which should be excluded from broadcasting
* @return the result of the broadcasting
*/
TensorPair broadcast(Tensor left, Tensor right, Set> excludedDimensions);
}