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 *  * This program and the accompanying materials are made available under the
 *  * terms of the Apache License, Version 2.0 which is available at
 *  * https://www.apache.org/licenses/LICENSE-2.0.
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 *  *  See the NOTICE file distributed with this work for additional
 *  *  information regarding copyright ownership.
 *  * 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.
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package org.deeplearning4j.nn.conf.stepfunctions;

import org.nd4j.shade.jackson.annotation.JsonSubTypes;
import org.nd4j.shade.jackson.annotation.JsonTypeInfo;
import org.nd4j.shade.jackson.annotation.JsonTypeInfo.As;
import org.nd4j.shade.jackson.annotation.JsonTypeInfo.Id;

import java.io.Serializable;

@JsonTypeInfo(use = Id.NAME, include = As.WRAPPER_OBJECT)
@JsonSubTypes(value = {@JsonSubTypes.Type(value = DefaultStepFunction.class, name = "default"),
                @JsonSubTypes.Type(value = GradientStepFunction.class, name = "gradient"),
                @JsonSubTypes.Type(value = NegativeDefaultStepFunction.class, name = "negativeDefault"),
                @JsonSubTypes.Type(value = NegativeGradientStepFunction.class, name = "negativeGradient"),})
public class StepFunction implements Serializable, Cloneable {

    private static final long serialVersionUID = -1884835867123371330L;

    @Override
    public StepFunction clone() {
        try {
            StepFunction clone = (StepFunction) super.clone();
            return clone;
        } catch (CloneNotSupportedException e) {
            throw new RuntimeException(e);
        }
    }
}




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