/**
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* @license
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* Copyright 2018 Google LLC. All Rights Reserved.
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://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,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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* =============================================================================
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*/
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/// <amd-module name="@tensorflow/tfjs-core/dist/ops/variable" />
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import { Tensor, Variable } from '../tensor';
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import { DataType, Rank } from '../types';
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/**
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* Creates a new variable with the provided initial value.
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* ```js
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* const x = tf.variable(tf.tensor([1, 2, 3]));
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* x.assign(tf.tensor([4, 5, 6]));
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*
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* x.print();
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* ```
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*
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* @param initialValue Initial value for the tensor.
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* @param trainable If true, optimizers are allowed to update it.
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* @param name Name of the variable. Defaults to a unique id.
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* @param dtype If set, initialValue will be converted to the given type.
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*
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* @doc {heading: 'Tensors', subheading: 'Creation'}
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*/
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export declare function variable<R extends Rank>(initialValue: Tensor<R>, trainable?: boolean, name?: string, dtype?: DataType): Variable<R>;
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