How to use tensorflow js (tfjs) from typescript?





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2















I've tried to install typings:



npm install --save @type/tfjs
npm install --save @type/tenforflowjs
npm install --save @type/tensorflow


But it doesn't exist. On tensorflow js github repository I can see that it is developed using Typescript, but it seems they did not distribute definitions. If there is no definition distribution (I hope I am wrong), how can I use their github repository to obtain it and still benefit from their future releases?










share|improve this question























  • npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

    – Explosion Pills
    Nov 16 '18 at 16:38











  • @ExplosionPills it worked, thank you. You should put it as the answer.

    – ozgur
    Nov 16 '18 at 16:49




















2















I've tried to install typings:



npm install --save @type/tfjs
npm install --save @type/tenforflowjs
npm install --save @type/tensorflow


But it doesn't exist. On tensorflow js github repository I can see that it is developed using Typescript, but it seems they did not distribute definitions. If there is no definition distribution (I hope I am wrong), how can I use their github repository to obtain it and still benefit from their future releases?










share|improve this question























  • npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

    – Explosion Pills
    Nov 16 '18 at 16:38











  • @ExplosionPills it worked, thank you. You should put it as the answer.

    – ozgur
    Nov 16 '18 at 16:49
















2












2








2








I've tried to install typings:



npm install --save @type/tfjs
npm install --save @type/tenforflowjs
npm install --save @type/tensorflow


But it doesn't exist. On tensorflow js github repository I can see that it is developed using Typescript, but it seems they did not distribute definitions. If there is no definition distribution (I hope I am wrong), how can I use their github repository to obtain it and still benefit from their future releases?










share|improve this question














I've tried to install typings:



npm install --save @type/tfjs
npm install --save @type/tenforflowjs
npm install --save @type/tensorflow


But it doesn't exist. On tensorflow js github repository I can see that it is developed using Typescript, but it seems they did not distribute definitions. If there is no definition distribution (I hope I am wrong), how can I use their github repository to obtain it and still benefit from their future releases?







typescript typescript-typings tensorflow.js






share|improve this question













share|improve this question











share|improve this question




share|improve this question










asked Nov 16 '18 at 16:34









ozgurozgur

9081824




9081824













  • npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

    – Explosion Pills
    Nov 16 '18 at 16:38











  • @ExplosionPills it worked, thank you. You should put it as the answer.

    – ozgur
    Nov 16 '18 at 16:49





















  • npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

    – Explosion Pills
    Nov 16 '18 at 16:38











  • @ExplosionPills it worked, thank you. You should put it as the answer.

    – ozgur
    Nov 16 '18 at 16:49



















npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

– Explosion Pills
Nov 16 '18 at 16:38





npm install --save @tensorflow/tfjs should be all you need. The type definitions are included.

– Explosion Pills
Nov 16 '18 at 16:38













@ExplosionPills it worked, thank you. You should put it as the answer.

– ozgur
Nov 16 '18 at 16:49







@ExplosionPills it worked, thank you. You should put it as the answer.

– ozgur
Nov 16 '18 at 16:49














1 Answer
1






active

oldest

votes


















1














Note that there is unfortunately no simple way to tell whether types are available in a library since type definitions can be exported in a variety of ways.



If you do npm install --save @tensorflow/tfjs, you will see that there is a node_modules/@tensorflow/tfjs/dist/index.d.ts. Additionally in the package.json for the project, there is "types": "dist/index.d.ts".



That is to say types are available for this library.



If types are not included with the package, you can check DefinitelyTyped to see if there is a third party definition available at @types/{package}. Otherwise you'll be on your own for strong typing.






share|improve this answer
























  • But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

    – Kokodoko
    Mar 29 at 20:54











  • I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

    – Kokodoko
    Mar 29 at 23:21











  • If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

    – Explosion Pills
    Mar 29 at 23:38











  • True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

    – Kokodoko
    Mar 30 at 14:13














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1 Answer
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1 Answer
1






active

oldest

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active

oldest

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active

oldest

votes









1














Note that there is unfortunately no simple way to tell whether types are available in a library since type definitions can be exported in a variety of ways.



If you do npm install --save @tensorflow/tfjs, you will see that there is a node_modules/@tensorflow/tfjs/dist/index.d.ts. Additionally in the package.json for the project, there is "types": "dist/index.d.ts".



That is to say types are available for this library.



If types are not included with the package, you can check DefinitelyTyped to see if there is a third party definition available at @types/{package}. Otherwise you'll be on your own for strong typing.






share|improve this answer
























  • But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

    – Kokodoko
    Mar 29 at 20:54











  • I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

    – Kokodoko
    Mar 29 at 23:21











  • If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

    – Explosion Pills
    Mar 29 at 23:38











  • True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

    – Kokodoko
    Mar 30 at 14:13


















1














Note that there is unfortunately no simple way to tell whether types are available in a library since type definitions can be exported in a variety of ways.



If you do npm install --save @tensorflow/tfjs, you will see that there is a node_modules/@tensorflow/tfjs/dist/index.d.ts. Additionally in the package.json for the project, there is "types": "dist/index.d.ts".



That is to say types are available for this library.



If types are not included with the package, you can check DefinitelyTyped to see if there is a third party definition available at @types/{package}. Otherwise you'll be on your own for strong typing.






share|improve this answer
























  • But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

    – Kokodoko
    Mar 29 at 20:54











  • I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

    – Kokodoko
    Mar 29 at 23:21











  • If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

    – Explosion Pills
    Mar 29 at 23:38











  • True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

    – Kokodoko
    Mar 30 at 14:13
















1












1








1







Note that there is unfortunately no simple way to tell whether types are available in a library since type definitions can be exported in a variety of ways.



If you do npm install --save @tensorflow/tfjs, you will see that there is a node_modules/@tensorflow/tfjs/dist/index.d.ts. Additionally in the package.json for the project, there is "types": "dist/index.d.ts".



That is to say types are available for this library.



If types are not included with the package, you can check DefinitelyTyped to see if there is a third party definition available at @types/{package}. Otherwise you'll be on your own for strong typing.






share|improve this answer













Note that there is unfortunately no simple way to tell whether types are available in a library since type definitions can be exported in a variety of ways.



If you do npm install --save @tensorflow/tfjs, you will see that there is a node_modules/@tensorflow/tfjs/dist/index.d.ts. Additionally in the package.json for the project, there is "types": "dist/index.d.ts".



That is to say types are available for this library.



If types are not included with the package, you can check DefinitelyTyped to see if there is a third party definition available at @types/{package}. Otherwise you'll be on your own for strong typing.







share|improve this answer












share|improve this answer



share|improve this answer










answered Nov 16 '18 at 17:10









Explosion PillsExplosion Pills

152k38230318




152k38230318













  • But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

    – Kokodoko
    Mar 29 at 20:54











  • I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

    – Kokodoko
    Mar 29 at 23:21











  • If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

    – Explosion Pills
    Mar 29 at 23:38











  • True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

    – Kokodoko
    Mar 30 at 14:13





















  • But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

    – Kokodoko
    Mar 29 at 20:54











  • I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

    – Kokodoko
    Mar 29 at 23:21











  • If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

    – Explosion Pills
    Mar 29 at 23:38











  • True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

    – Kokodoko
    Mar 30 at 14:13



















But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

– Kokodoko
Mar 29 at 20:54





But that .d.ts file only links to several other .d.ts files. There are more than 10 .d.ts files in the whole node_modules folder. Are they all needed if you want to work with typescript?

– Kokodoko
Mar 29 at 20:54













I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

– Kokodoko
Mar 29 at 23:21





I guess you need to build the project, and then a single .d.ts file is generated in the dist folder?

– Kokodoko
Mar 29 at 23:21













If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

– Explosion Pills
Mar 29 at 23:38





If you import from @tensorflow/tfjs it should use the .d.ts files that are there as well. This shouldn't require any additional setup.

– Explosion Pills
Mar 29 at 23:38













True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

– Kokodoko
Mar 30 at 14:13







True! But then you need the whole node_modules folder. I would prefer a single .d.ts file, just to get typescript intellisense for Tensorflow. I still load tensorflow itself using the script tag, without using a module build process.

– Kokodoko
Mar 30 at 14:13






















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