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Testing Tools for Neural Network Components
/*
* Copyright (c) 2019 by Andrew Charneski.
*
* The author licenses this file to you 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.
*/
package com.simiacryptus.mindseye.test.unit;
import com.simiacryptus.lang.ref.ReferenceCounting;
import com.simiacryptus.mindseye.lang.Layer;
import com.simiacryptus.mindseye.lang.Tensor;
import com.simiacryptus.notebook.NotebookOutput;
import javax.annotation.Nullable;
/**
* The interface Derivative tester.
*
* @param the type parameter
*/
public interface ComponentTest extends ReferenceCounting {
/**
* Test tolerance statistics.
*
* @param log the log
* @param component the component
* @param inputPrototype the input prototype
* @return the tolerance statistics
*/
@Nullable
T test(NotebookOutput log, Layer component, Tensor... inputPrototype);
}
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