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@tensorflow/tfjs-converter

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Tensorflow model converter for javascript

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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. * ============================================================================= */ /** * This differs from util.assertShapesMatch in that it allows values of * negative one, an undefined size of a dimensinon, in a shape to match * anything. */ /// <amd-module name="@tensorflow/tfjs-converter/dist/executor/tensor_utils" /> import { Tensor } from '@tensorflow/tfjs-core'; /** * Used by TensorList and TensorArray to verify if elementShape matches, support * negative value as the dim shape. * @param shapeA * @param shapeB * @param errorMessagePrefix */ export declare function assertShapesMatchAllowUndefinedSize(shapeA: number | number[], shapeB: number | number[], errorMessagePrefix?: string): void; export declare function fullDefinedShape(elementShape: number | number[]): boolean; /** * Generate the output element shape from the list elementShape, list tensors * and input param. * @param listElementShape * @param tensors * @param elementShape */ export declare function inferElementShape(listElementShape: number | number[], tensors: Tensor[], elementShape: number | number[]): number[]; export declare function mergeElementShape(elementShapeA: number | number[], elementShapeB: number | number[]): number | number[];