/**
 * @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.
 * =============================================================================
 */
export const EPSILON_FLOAT32 = 1e-7;
export const EPSILON_FLOAT16 = 1e-4;
/** Convenient class for storing tensor-related data. */
export class DataStorage {
    constructor(backend, dataMover) {
        this.backend = backend;
        this.dataMover = dataMover;
        this.data = new WeakMap();
        this.dataIdsCount = 0;
    }
    get(dataId) {
        if (!this.data.has(dataId)) {
            this.dataMover.moveData(this.backend, dataId);
        }
        return this.data.get(dataId);
    }
    set(dataId, value) {
        this.dataIdsCount++;
        this.data.set(dataId, value);
    }
    has(dataId) {
        return this.data.has(dataId);
    }
    delete(dataId) {
        this.dataIdsCount--;
        return this.data.delete(dataId);
    }
    numDataIds() {
        return this.dataIdsCount;
    }
}
/**
 * The interface that defines the kernels that should be implemented when
 * adding a new backend. New backends don't need to implement every one of the
 * methods, this can be done gradually (throw an error for unimplemented
 * methods).
 */
export class KernelBackend {
    refCount(dataId) {
        return notYetImplemented('refCount');
    }
    incRef(dataId) {
        return notYetImplemented('incRef');
    }
    timerAvailable() {
        return true;
    }
    time(f) {
        return notYetImplemented('time');
    }
    read(dataId) {
        return notYetImplemented('read');
    }
    readSync(dataId) {
        return notYetImplemented('readSync');
    }
    readToGPU(dataId, options) {
        return notYetImplemented('readToGPU');
    }
    numDataIds() {
        return notYetImplemented('numDataIds');
    }
    disposeData(dataId, force) {
        return notYetImplemented('disposeData');
    }
    write(values, shape, dtype) {
        return notYetImplemented('write');
    }
    move(dataId, values, shape, dtype, refCount) {
        return notYetImplemented('move');
    }
    createTensorFromGPUData(values, shape, dtype) {
        return notYetImplemented('createTensorFromGPUData');
    }
    memory() {
        return notYetImplemented('memory');
    }
    /** Returns the highest precision for floats in bits (e.g. 16 or 32) */
    floatPrecision() {
        return notYetImplemented('floatPrecision');
    }
    /** Returns the smallest representable number.  */
    epsilon() {
        return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;
    }
    dispose() {
        return notYetImplemented('dispose');
    }
}
function notYetImplemented(kernelName) {
    throw new Error(`'${kernelName}' not yet implemented or not found in the registry. ` +
        `This kernel may not be supported by the tfjs backend you have chosen`);
}
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All Rights Reserved.\n * Licensed under the Apache License, Version 2.0 (the \"License\");\n * you may not use this file except in compliance with the License.\n * You may obtain a copy of the License at\n *\n * http://www.apache.org/licenses/LICENSE-2.0\n *\n * Unless required by applicable law or agreed to in writing, software\n * distributed under the License is distributed on an \"AS IS\" BASIS,\n * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.\n * See the License for the specific language governing permissions and\n * limitations under the License.\n * =============================================================================\n */\n\nimport {Backend, DataToGPUOptions, GPUData, Tensor} from '../tensor';\nimport {DataId} from '../tensor_info';\nimport {BackendValues, DataType, WebGLData, WebGPUData} from '../types';\n\nexport const EPSILON_FLOAT32 = 1e-7;\nexport const EPSILON_FLOAT16 = 1e-4;\n\n// Required information for all backends.\nexport interface BackendTimingInfo {\n  kernelMs: number|{error: string};\n  getExtraProfileInfo?(): string;  // a field for additional timing information\n                                   // e.g. packing / unpacking for WebGL backend\n}\n\nexport interface TensorStorage {\n  read(dataId: DataId): Promise<BackendValues>;\n  readSync(dataId: DataId): BackendValues;\n  disposeData(dataId: DataId, force?: boolean): boolean;\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId;\n  move(\n      dataId: DataId, values: BackendValues, shape: number[], dtype: DataType,\n      refCount: number): void;\n  memory(): {unreliable: boolean;};  // Backend-specific information.\n  /** Returns number of data ids currently in the storage. */\n  numDataIds(): number;\n  refCount(dataId: DataId): number;\n}\n\n/** Convenient class for storing tensor-related data. */\nexport class DataStorage<T> {\n  private data = new WeakMap<DataId, T>();\n  private dataIdsCount = 0;\n\n  constructor(private backend: KernelBackend, private dataMover: DataMover) {}\n\n  get(dataId: DataId) {\n    if (!this.data.has(dataId)) {\n      this.dataMover.moveData(this.backend, dataId);\n    }\n    return this.data.get(dataId);\n  }\n\n  set(dataId: DataId, value: T): void {\n    this.dataIdsCount++;\n    this.data.set(dataId, value);\n  }\n\n  has(dataId: DataId): boolean {\n    return this.data.has(dataId);\n  }\n\n  delete(dataId: DataId): boolean {\n    this.dataIdsCount--;\n    return this.data.delete(dataId);\n  }\n\n  numDataIds(): number {\n    return this.dataIdsCount;\n  }\n}\n\nexport interface DataMover {\n  /**\n   * To be called by backends whenever they see a dataId that they don't own.\n   * Upon calling this method, the mover will fetch the tensor from another\n   * backend and register it with the current active backend.\n   */\n  moveData(backend: KernelBackend, dataId: DataId): void;\n}\n\nexport interface BackendTimer {\n  // check if backend timer is available\n  timerAvailable(): boolean;\n  time(f: () => void): Promise<BackendTimingInfo>;\n}\n\n/**\n * The interface that defines the kernels that should be implemented when\n * adding a new backend. New backends don't need to implement every one of the\n * methods, this can be done gradually (throw an error for unimplemented\n * methods).\n */\nexport class KernelBackend implements TensorStorage, Backend, BackendTimer {\n  refCount(dataId: DataId): number {\n    return notYetImplemented('refCount');\n  }\n  incRef(dataId: DataId): void {\n    return notYetImplemented('incRef');\n  }\n  timerAvailable(): boolean {\n    return true;\n  }\n  time(f: () => void): Promise<BackendTimingInfo> {\n    return notYetImplemented('time');\n  }\n  read(dataId: object): Promise<BackendValues> {\n    return notYetImplemented('read');\n  }\n  readSync(dataId: object): BackendValues {\n    return notYetImplemented('readSync');\n  }\n  readToGPU(dataId: object, options?: DataToGPUOptions): GPUData {\n    return notYetImplemented('readToGPU');\n  }\n  numDataIds(): number {\n    return notYetImplemented('numDataIds');\n  }\n  disposeData(dataId: object, force?: boolean): boolean {\n    return notYetImplemented('disposeData');\n  }\n  write(values: BackendValues, shape: number[], dtype: DataType): DataId {\n    return notYetImplemented('write');\n  }\n  move(\n      dataId: DataId, values: BackendValues, shape: number[], dtype: DataType,\n      refCount: number): void {\n    return notYetImplemented('move');\n  }\n\n  createTensorFromGPUData(\n      values: WebGLData|WebGPUData, shape: number[], dtype: DataType): Tensor {\n    return notYetImplemented('createTensorFromGPUData');\n  }\n\n  memory(): {unreliable: boolean; reasons?: string[]} {\n    return notYetImplemented('memory');\n  }\n  /** Returns the highest precision for floats in bits (e.g. 16 or 32) */\n  floatPrecision(): 16|32 {\n    return notYetImplemented('floatPrecision');\n  }\n  /** Returns the smallest representable number.  */\n  epsilon(): number {\n    return this.floatPrecision() === 32 ? EPSILON_FLOAT32 : EPSILON_FLOAT16;\n  }\n  dispose(): void {\n    return notYetImplemented('dispose');\n  }\n}\n\nfunction notYetImplemented(kernelName: string): never {\n  throw new Error(\n      `'${kernelName}' not yet implemented or not found in the registry. ` +\n      `This kernel may not be supported by the tfjs backend you have chosen`);\n}\n"]}