| 1 | /**
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| 2 | * @license
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| 3 | * Copyright 2020 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 { ENGINE } from '../engine';
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| 18 | import { Diag } from '../kernel_names';
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| 19 | import { convertToTensor } from '../tensor_util_env';
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| 20 | import { op } from './operation';
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| 21 | /**
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| 22 | * Returns a diagonal tensor with a given diagonal values.
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| 23 | *
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| 24 | * Given a diagonal, this operation returns a tensor with the diagonal and
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| 25 | * everything else padded with zeros.
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| 26 | *
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| 27 | * Assume the input has dimensions `[D1,..., Dk]`, then the output is a tensor
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| 28 | * of rank 2k with dimensions `[D1,..., Dk, D1,..., Dk]`
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| 29 | *
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| 30 | * ```js
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| 31 | * const x = tf.tensor1d([1, 2, 3, 4]);
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| 32 | *
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| 33 | * tf.diag(x).print()
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| 34 | * ```
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| 35 | * ```js
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| 36 | * const x = tf.tensor1d([1, 2, 3, 4, 5, 6, 6, 8], [4, 2])
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| 37 | *
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| 38 | * tf.diag(x).print()
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| 39 | * ```
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| 40 | * @param x The input tensor.
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| 41 | *
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| 42 | * @doc {heading: 'Tensors', subheading: 'Creation'}
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| 43 | */
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| 44 | function diag_(x) {
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| 45 | const $x = convertToTensor(x, 'x', 'diag');
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| 46 | const inputs = { x: $x };
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| 47 | return ENGINE.runKernel(Diag, inputs);
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| 48 | }
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| 49 | export const diag = op({ diag_ });
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| 50 | //# sourceMappingURL=diag.js.map |
| \ | No newline at end of file |