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types.ts
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types.ts
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/**
* @license
* Copyright 2017 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.
* =============================================================================
*/
/** @docalias number[] */
export interface ShapeMap {
R0: number[];
R1: [number];
R2: [number, number];
R3: [number, number, number];
R4: [number, number, number, number];
R5: [number, number, number, number, number];
R6: [number, number, number, number, number, number];
}
export interface DataTypeMap {
float32: Float32Array;
int32: Int32Array;
bool: Uint8Array;
complex64: Float32Array;
string: string[];
}
export interface SingleValueMap {
float32: number;
int32: number;
bool: boolean;
complex64: number;
string: string;
}
/** @docalias 'float32'|'int32'|'bool'|'complex64'|'string' */
export type DataType = keyof DataTypeMap;
export type NumericDataType = 'float32'|'int32'|'bool'|'complex64';
export type TypedArray = Float32Array|Int32Array|Uint8Array;
export type DataValues = DataTypeMap[DataType];
export enum Rank {
R0 = 'R0',
R1 = 'R1',
R2 = 'R2',
R3 = 'R3',
R4 = 'R4',
R5 = 'R5',
R6 = 'R6'
}
export type FlatVector = boolean[]|number[]|TypedArray;
export type RegularArray<T> =
T[]|T[][]|T[][][]|T[][][][]|T[][][][][]|T[][][][][][];
// tslint:disable-next-line:no-any
export interface RecursiveArray<T extends any> {
[index: number]: T|RecursiveArray<T>;
}
// Looks for upcasting types. Used, for example, in operations with mixed dtype
// inputs.
enum UpcastInt32AndMap {
'float32' = 'float32',
'int32' = 'int32',
'bool' = 'int32',
'complex64' = 'complex64'
}
enum UpcastBoolAndMap {
'float32' = 'float32',
'int32' = 'int32',
'bool' = 'bool',
'complex64' = 'complex64'
}
enum UpcastFloat32AndMap {
'float32' = 'float32',
'int32' = 'float32',
'bool' = 'float32',
'complex64' = 'complex64'
}
enum UpcastComplex64AndMap {
'float32' = 'complex64',
'int32' = 'complex64',
'bool' = 'complex64',
'complex64' = 'complex64'
}
const upcastTypeMap = {
'float32': UpcastFloat32AndMap,
'int32': UpcastInt32AndMap,
'bool': UpcastBoolAndMap,
'complex64': UpcastComplex64AndMap
};
export function upcastType(typeA: DataType, typeB: DataType): DataType {
if (typeA === 'string' || typeB === 'string') {
if (typeA === 'string' && typeB === 'string') {
return 'string';
}
throw new Error(`Can not upcast ${typeA} with ${typeB}`);
}
return upcastTypeMap[typeA][typeB];
}
/** Returns the output type after summation. */
export function sumOutType(type: DataType): DataType {
return upcastType(type, 'int32');
}
/** @docalias TypedArray|Array */
export type TensorLike = TypedArray|number|boolean|string|RegularArray<number>|
RegularArray<boolean>|RegularArray<string>;
/** @docalias TypedArray|Array */
export type TensorLike1D = TypedArray|number[]|boolean[]|string[];
/** @docalias TypedArray|Array */
export type TensorLike2D =
TypedArray|number[]|number[][]|boolean[]|boolean[][]|string[]|string[][];
/** @docalias TypedArray|Array */
export type TensorLike3D = TypedArray|number[]|number[][][]|boolean[]|
boolean[][][]|string[]|string[][][];
/** @docalias TypedArray|Array */
export type TensorLike4D = TypedArray|number[]|number[][][][]|boolean[]|
boolean[][][][]|string[]|string[][][][];
/** @docalias TypedArray|Array */
export type TensorLike5D = TypedArray|number[]|number[][][][][]|boolean[]|
boolean[][][][][]|string[]|string[][][][][];
/** @docalias TypedArray|Array */
export type TensorLike6D = TypedArray|number[]|number[][][][][][]|boolean[]|
boolean[][][][][][]|string[]|string[][][][][][];