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@tensorflow/tfjs-core

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Hardware-accelerated JavaScript library for machine intelligence

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/** * @license * Copyright 2020 Google LLC. All Rights Reserved. * Licensed under the Apache License, Version 2.0 (the "License"); * you may not use this file except in compliance with the License. * You may obtain a copy of the License at * * http://www.apache.org/licenses/LICENSE-2.0 * * Unless required by applicable law or agreed to in writing, software * distributed under the License is distributed on an "AS IS" BASIS, * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. * See the License for the specific language governing permissions and * limitations under the License. * ============================================================================= */ /// <amd-module name="@tensorflow/tfjs-core/dist/ops/eye" /> import { Tensor2D } from '../tensor'; import { DataType } from '../types'; /** * Create an identity matrix. * * @param numRows Number of rows. * @param numColumns Number of columns. Defaults to `numRows`. * @param batchShape If provided, will add the batch shape to the beginning * of the shape of the returned `tf.Tensor` by repeating the identity * matrix. * @param dtype Data type. * @returns Identity matrix of the specified size and data type, possibly * with batch repetition if `batchShape` is specified. * * @doc {heading: 'Tensors', subheading: 'Creation'} */ declare function eye_(numRows: number, numColumns?: number, batchShape?: [ number ] | [ number, number ] | [number, number, number] | [number, number, number, number], dtype?: DataType): Tensor2D; export declare const eye: typeof eye_; export {};