ai.djl.training.initializer.ConstantInitializer Maven / Gradle / Ivy
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/*
* Copyright 2020 Amazon.com, Inc. or its affiliates. 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. A copy of the License is located at
*
* http://aws.amazon.com/apache2.0/
*
* or in the "license" file accompanying this file. This file 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 ai.djl.training.initializer;
import ai.djl.ndarray.NDArray;
import ai.djl.ndarray.NDManager;
import ai.djl.ndarray.types.DataType;
import ai.djl.ndarray.types.Shape;
/** Initializer that generates tensors with constant values. */
public class ConstantInitializer implements Initializer {
private float value;
/**
* Creates a Constant Initializer.
*
* @param value the value to fill
*/
public ConstantInitializer(float value) {
this.value = value;
}
/**
* Initializes a single {@link NDArray}.
*
* @param manager the {@link NDManager} to create the new {@link NDArray} in
* @param shape the {@link Shape} for the new NDArray
* @param dataType the {@link DataType} for the new NDArray
* @return the {@link NDArray} initialized with the manager and shape
*/
@Override
public NDArray initialize(NDManager manager, Shape shape, DataType dataType) {
return manager.full(shape, value, dataType);
}
}