Compile error in @tensorflow/tfjs-layers/dist/models.d.ts

TensorFlow.js version

+-- @tensorflow/tfjs@0.10.3
| +-- @tensorflow/tfjs-core@0.8.4
| | `-- seedrandom@2.4.3
| `-- @tensorflow/tfjs-layers@0.5.3
`-- typescript@2.8.3

Browser version

N/A

Describe the problem or feature request

Cannot import @tensorflow/tfjs from TypeScript.

import * as tf from "@tensorflow/tfjs"

node_modules/@tensorflow/tfjs-layers/dist/models.d.ts:27:5 - error TS2416: Property 'build' in type 'Sequential' is not assignable to the same property in base type 'Model'.
  Type '(inputShape?: number[] | undefined) => void' is not assignable to type '(inputShape: number[] | number[][]) => void'.
    Types of parameters 'inputShape' and 'inputShape' are incompatible.
      Type 'number[] | number[][]' is not assignable to type 'number[] | undefined'.
        Type 'number[][]' is not assignable to type 'number[] | undefined'.
          Type 'number[][]' is not assignable to type 'number[]'.
            Type 'number[]' is not assignable to type 'number'.

27     build(inputShape?: Shape): void;
       ~~~~~

Code to reproduce the bug / link to feature request

https://github.com/mysticatea/tfjs-issue-ts

[mysticatea]

I found the compile error happens if I enabled "strictNullChecks": true build option.

The "strictNullChecks": true option is very useful option to prevent null dereference errors. It’s very inconvenient if I cannot use the option in all software that uses tensorflow.js.

[dsmilkov]

See https://stackoverflow.com/questions/40164034/typescript-strictnullchecks-with-limited-scope

In your project use the skipLibCheck option added in Typescript 2.0 to skip checking the *.d.ts files of your dependencies. This will also speed up compilation.