/** * @license * Copyright 2018 Google Inc. 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. * ============================================================================= */ import { backend_util } from '@tensorflow/tfjs'; export declare class TensorMetadata { id: number; shape: number[]; dtype: number; } export declare class TFEOpAttr { name: string; type: number; value: boolean | number | object | string | number[]; } export interface TFJSBinding { TensorMetadata: typeof TensorMetadata; TFEOpAttr: typeof TFEOpAttr; createTensor(shape: number[], dtype: number, buffer: backend_util.BackendValues): number; deleteTensor(tensorId: number): void; tensorDataSync(tensorId: number): Float32Array | Int32Array | Uint8Array; executeOp(opName: string, opAttrs: TFEOpAttr[], inputTensorIds: number[], numOutputs: number): TensorMetadata[]; loadSavedModel(exportDir: string, tags: string): number; deleteSavedModel(savedModelId: number): void; runSavedModel(savedModelId: number, inputTensorIds: number[], inputOpNames: string, outputOpNames: string): TensorMetadata[]; getNumOfSavedModels(): number; isUsingGpuDevice(): boolean; TF_FLOAT: number; TF_INT32: number; TF_INT64: number; TF_BOOL: number; TF_COMPLEX64: number; TF_STRING: number; TF_RESOURCE: number; TF_UINT8: number; TF_ATTR_STRING: number; TF_ATTR_INT: number; TF_ATTR_FLOAT: number; TF_ATTR_BOOL: number; TF_ATTR_TYPE: number; TF_ATTR_SHAPE: number; TF_ATTR_RESOURCE: number; TF_Version: string; }