@tensorflow/tfjs-core
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Hardware-accelerated JavaScript library for machine intelligence
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text/typescript
/**
* @license
* Copyright 2018 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.
* =============================================================================
*/
import {Tensor} from './tensor';
import {TensorContainer, TensorContainerArray} from './tensor_types';
import {upcastType} from './types';
import {assert} from './util';
export function makeTypesMatch<T extends Tensor>(a: T, b: T): [T, T] {
if (a.dtype === b.dtype) {
return [a, b];
}
const dtype = upcastType(a.dtype, b.dtype);
return [a.cast(dtype), b.cast(dtype)];
}
export function assertTypesMatch(a: Tensor, b: Tensor): void {
assert(
a.dtype === b.dtype,
() => `The dtypes of the first(${a.dtype}) and` +
` second(${b.dtype}) input must match`);
}
export function isTensorInList(tensor: Tensor, tensorList: Tensor[]): boolean {
return tensorList.some(x => x.id === tensor.id);
}
/**
* Extracts any `Tensor`s found within the provided object.
*
* @param container an object that may be a `Tensor` or may directly contain
* `Tensor`s, such as a `Tensor[]` or `{key: Tensor, ...}`. In general it
* is safe to pass any object here, except that `Promise`s are not
* supported.
* @returns An array of `Tensors` found within the passed object. If the
* argument is simply a `Tensor', a list containing that `Tensor` is
* returned. If the object is not a `Tensor` or does not
* contain `Tensors`, an empty list is returned.
*/
export function getTensorsInContainer(result: TensorContainer): Tensor[] {
const list: Tensor[] = [];
const seen = new Set<{}|void>();
walkTensorContainer(result, list, seen);
return list;
}
function walkTensorContainer(
container: TensorContainer, list: Tensor[], seen: Set<{}|void>): void {
if (container == null) {
return;
}
if (container instanceof Tensor) {
list.push(container);
return;
}
if (!isIterable(container)) {
return;
}
// Iteration over keys works also for arrays.
const iterable = container as TensorContainerArray;
for (const k in iterable) {
const val = iterable[k];
if (!seen.has(val)) {
seen.add(val);
walkTensorContainer(val, list, seen);
}
}
}
// tslint:disable-next-line:no-any
function isIterable(obj: any): boolean {
return Array.isArray(obj) || typeof obj === 'object';
}