/**
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* @license
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* Copyright 2017 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/util" />
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import { BackendValues, DataType, RecursiveArray, TensorLike, TypedArray } from './types';
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export * from './util_base';
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export * from './hash_util';
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/**
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* Create typed array for scalar value. Used for storing in `DataStorage`.
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*/
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export declare function createScalarValue(value: DataType, dtype: DataType): BackendValues;
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export declare function toTypedArray(a: TensorLike, dtype: DataType): TypedArray;
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/**
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* Returns the current high-resolution time in milliseconds relative to an
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* arbitrary time in the past. It works across different platforms (node.js,
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* browsers).
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*
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* ```js
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* console.log(tf.util.now());
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* ```
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*
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* @doc {heading: 'Util', namespace: 'util'}
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*/
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export declare function now(): number;
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/**
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* Returns a platform-specific implementation of
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* [`fetch`](https://developer.mozilla.org/en-US/docs/Web/API/Fetch_API).
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*
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* If `fetch` is defined on the global object (`window`, `process`, etc.),
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* `tf.util.fetch` returns that function.
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*
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* If not, `tf.util.fetch` returns a platform-specific solution.
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*
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* ```js
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* const resource = await tf.util.fetch('https://cdn.jsdelivr.net/npm/@tensorflow/tfjs');
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* // handle response
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* ```
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*
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* @doc {heading: 'Util'}
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*/
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export declare function fetch(path: string, requestInits?: RequestInit): Promise<Response>;
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/**
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* Encodes the provided string into bytes using the provided encoding scheme.
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*
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* @param s The string to encode.
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* @param encoding The encoding scheme. Defaults to utf-8.
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*
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* @doc {heading: 'Util'}
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*/
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export declare function encodeString(s: string, encoding?: string): Uint8Array;
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/**
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* Decodes the provided bytes into a string using the provided encoding scheme.
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* @param bytes The bytes to decode.
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*
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* @param encoding The encoding scheme. Defaults to utf-8.
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*
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* @doc {heading: 'Util'}
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*/
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export declare function decodeString(bytes: Uint8Array, encoding?: string): string;
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export declare function isTypedArray(a: {}): a is Float32Array | Int32Array | Uint8Array | Uint8ClampedArray;
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/**
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* Flattens an arbitrarily nested array.
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*
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* ```js
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* const a = [[1, 2], [3, 4], [5, [6, [7]]]];
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* const flat = tf.util.flatten(a);
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* console.log(flat);
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* ```
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*
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* @param arr The nested array to flatten.
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* @param result The destination array which holds the elements.
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* @param skipTypedArray If true, avoids flattening the typed arrays. Defaults
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* to false.
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*
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* @doc {heading: 'Util', namespace: 'util'}
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*/
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export declare function flatten<T extends number | boolean | string | Promise<number> | TypedArray>(arr: T | RecursiveArray<T>, result?: T[], skipTypedArray?: boolean): T[];
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