| 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 { inferShape } from '../tensor_util_env';
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| 18 | import { assertNonNull } from '../util';
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| 19 | import { makeTensor } from './tensor_ops_util';
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| 20 | /**
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| 21 | * Creates rank-5 `tf.Tensor` with the provided values, shape and dtype.
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| 22 | *
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| 23 | * The same functionality can be achieved with `tf.tensor`, but in general
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| 24 | * we recommend using `tf.tensor5d` as it makes the code more readable.
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| 25 | *
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| 26 | * ```js
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| 27 | * // Pass a nested array.
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| 28 | * tf.tensor5d([[[[[1],[2]],[[3],[4]]],[[[5],[6]],[[7],[8]]]]]).print();
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| 29 | * ```
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| 30 | * ```js
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| 31 | * // Pass a flat array and specify a shape.
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| 32 | * tf.tensor5d([1, 2, 3, 4, 5, 6, 7, 8], [1, 2, 2, 2, 1]).print();
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| 33 | * ```
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| 34 | *
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| 35 | * @param values The values of the tensor. Can be nested array of numbers,
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| 36 | * or a flat array, or a `TypedArray`.
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| 37 | * @param shape The shape of the tensor. Optional. If not provided,
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| 38 | * it is inferred from `values`.
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| 39 | * @param dtype The data type.
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| 40 | *
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| 41 | * @doc {heading: 'Tensors', subheading: 'Creation'}
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| 42 | */
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| 43 | export function tensor5d(values, shape, dtype) {
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| 44 | assertNonNull(values);
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| 45 | if (shape != null && shape.length !== 5) {
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| 46 | throw new Error('tensor5d() requires shape to have five numbers');
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| 47 | }
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| 48 | const inferredShape = inferShape(values, dtype);
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| 49 | if (inferredShape.length !== 5 && inferredShape.length !== 1) {
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| 50 | throw new Error('tensor5d() requires values to be ' +
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| 51 | 'number[][][][][] or flat/TypedArray');
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| 52 | }
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| 53 | if (inferredShape.length === 1 && shape == null) {
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| 54 | throw new Error('tensor5d() requires shape to be provided when `values` ' +
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| 55 | 'are a flat array');
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| 56 | }
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| 57 | return makeTensor(values, shape, inferredShape, dtype);
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| 58 | }
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| 59 | //# sourceMappingURL=tensor5d.js.map |
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