| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2018 Google LLC. All Rights Reserved.
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| 4 | * Licensed under the Apache License, Version 2.0 (the "License");
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| 5 | * you may not use this file except in compliance with the License.
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| 6 | * You may obtain a copy of the License at
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| 7 | *
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| 8 | * http://www.apache.org/licenses/LICENSE-2.0
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| 9 | *
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| 10 | * Unless required by applicable law or agreed to in writing, software
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| 11 | * distributed under the License is distributed on an "AS IS" BASIS,
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| 12 | * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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| 13 | * See the License for the specific language governing permissions and
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| 14 | * limitations under the License.
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| 15 | * =============================================================================
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| 16 | */
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| 17 | import { Shape } from '@tensorflow/tfjs';
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| 18 | /**
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| 19 | * Node.js-specific tensor type: int64-type scalar.
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| 20 | *
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| 21 | * This class is created for a specific purpose: to support
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| 22 | * writing `step`s to TensorBoard via op-kernel bindings.
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| 23 | * `step` is required to have an int64 dtype, but TensorFlow.js
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| 24 | * (tfjs-core) doesn't have a built-in int64 dtype. This is
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| 25 | * related to a lack of `Int64Array` or `Uint64Array` typed
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| 26 | * array in basic JavaScript.
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| 27 | *
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| 28 | * This class is introduced as a workaround.
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| 29 | */
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| 30 | export declare class Int64Scalar {
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| 31 | readonly value: number;
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| 32 | readonly dtype: string;
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| 33 | readonly rank: number;
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| 34 | private valueArray_;
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| 35 | private static endiannessOkay_;
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| 36 | constructor(value: number);
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| 37 | readonly shape: Shape;
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| 38 | /** Get the Int32Array that represents the int64 value. */
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| 39 | readonly valueArray: Int32Array;
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| 40 | }
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