TypeError: env().platform.isTypedArray is not a function. (In 'env().platform.isTypedArray(a)', 'env().platform.isTypedArray' is undefined) #7273

anglo2333 · 2023-01-14T05:47:58Z

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AlexGurski · 2023-01-16T09:56:49Z

use the previous version, for example @4.1.0

asallem94 · 2023-01-16T16:55:38Z

I am running into this issue with a react-native project.

Rhysjc · 2023-01-16T16:57:50Z

Experiencing the same issue with a new react-native project. Downgrading to 4.1.0 didn't help.

anglo2333 · 2023-01-16T17:01:06Z

How to fix it. Please let me know by someone.

…

On Mon, Jan 16, 2023, 10:28 PM Rhys Camm ***@***.***> wrote: Experiencing the same issue with a new react-native project. — Reply to this email directly, view it on GitHub <#7273 (comment)>, or unsubscribe <https://github.com/notifications/unsubscribe-auth/A5H26K25QCTDLB3AS2M42WLWSV4ZRANCNFSM6AAAAAAT3C3LPI> . You are receiving this because you authored the thread.Message ID: ***@***.***>

Rhysjc · 2023-01-16T17:55:37Z

Having done some digging, I think #7181 introduced this. I assume isTypedArray needs to be added to the React Native platform

Rhysjc · 2023-01-16T18:16:32Z

tfjs-react-native has tfjs-core as a peer dependency on version 3.7.0 (which doesn't include isTypedArray in the Platform type). I'm not too sure how the versioning of the packages here work, but assuming tfjs follows the same versions, downgrading @tensorflow/tfjs to 3.7.0 in your React Native project may resolve this. I don't have time to try it right now but I will do tomorrow. If this resolves it for anyone please comment.

Edit:
Confirmed that installing @tensorflow/tfjs at 3.7.0 resolves this issue. If someone can provide some direction on how I can correctly update the peer dependencies in tfjs-react-native and update the platform file I'm happy to submit a PR

huhm · 2023-01-17T06:21:38Z

use the previous version, for example @4.1.0

it works for me. I used the tsjs-node

Rhysjc · 2023-01-17T08:46:06Z

@huhm potentially I just needed to clear my metro cache and 4.1.0 would have worked. Though I think it's probably best to use the version tfjs-react-native has listed as a peer dependency

Deeparaj-24 · 2023-01-19T04:45:12Z

4.1.0

After dowgrade ,getting same error bro

ToonTalk · 2023-01-20T12:21:35Z

4.1.0 fixed it for me - not using native react

yousefamar · 2023-01-23T12:51:15Z

React Native Expo standalone workflow developers: you need to create a new development build. Downgrading to 3.7.0 worked for me after doing that

hrshlmeht · 2023-02-07T19:01:59Z

Hi , thanks for mentioning it. I am facing the same issue. Although my application is in NodeJs environment is this going to work? Because downgrading and having its repercussion on other working models can also be an issue later.

Please let me know

abhik-wil · 2023-02-12T20:03:10Z

Hi , thanks for mentioning it. I am facing the same issue. Although my application is in NodeJs environment is this going to work? Because downgrading and having its repercussion on other working models can also be an issue later.

Please let me know

Hey, so I am using Vite/React and downgrading to 3.7.0 worked for me.

IvanKuchin · 2023-02-17T18:02:55Z

Hi,

There are many examples failing on TFJS API web-site.
Just as an example (tfjs-vis):

DavidODonovan · 2023-02-20T03:31:30Z

I had the same problem whilst using Vite/React app. Fixed it by downgrading to TFJS to version 3.7.0.
Thanks @abhik Banerjee

delirium15 · 2023-03-02T06:53:44Z

Also had same problem, but only when going to target page (containing tfjs logic) from another page. Reloading that page didn't produced that error. Using Nuxt3 / Vite.
Downgrading from 4.2.0 to 4.1.0 didn't help, but to 3.7.0 solved problem.

BruceDai · 2023-03-15T10:35:55Z

Also had same problem of running tests by CPU backend, downgrading to 4.1.0 worked.
Any update for this fixing, thanks.

A new function, `isTypedArray` was added to the `platform` interface by tensorflow#7181 and first published in tfjs-core 4.2.0. This made 4.2.0 incompatible with earlier versions of backends that implemented `platform`, such as node and react-native. This change adds a fallback to the use of `isTypedArray` so earlier versions of platforms that don't implement `isTypedArray` will not throw an error. Note that the behavior may not be perfect, such as when running Jest tests in node. See tensorflow#7175 for more details and upgrade all @tensorflow scoped packages to ^4.2.0 to avoid this. Fixes tensorflow#7273

A new function, `isTypedArray` was added to the `platform` interface by tensorflow#7181 and first published in tfjs-core 4.2.0. This made 4.2.0 incompatible with earlier versions of backends that implemented `platform`, such as node and react-native. This change adds a fallback to the use of `isTypedArray` so earlier versions of platforms that don't implement `isTypedArray` will not throw an error. Note that the fallback behavior may not be perfect, such as when running Jest tests in node. See tensorflow#7175 for more details and upgrade all @tensorflow scoped packages to ^4.2.0 to avoid this. Fixes tensorflow#7273

google-ml-butler · 2023-03-21T17:40:19Z

Are you satisfied with the resolution of your issue?
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No

ianmaddox · 2023-04-04T19:53:24Z

Had same issue trying to add an lstm layer to an empty model using 4.2.0:

    const model = tf.sequential();

    model.add(tf.layers.lstm({
        inputShape: [null, numFeatures],
        units: 64,
        returnSequences: true
    }));

generated the following error

/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:2978
    return env().platform.isTypedArray(a);
                          ^

TypeError: env(...).platform.isTypedArray is not a function
    at isTypedArray (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:2978:27)
    at inferShape (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:5428:9)
    at tensor1d (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:18528:25)
    at /dir/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.js:45:45
    at /dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:4506:22
    at Engine.scopedRun (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:4516:23)
    at Engine.tidy (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:4505:21)
    at tidy (/dir/node_modules/@tensorflow/tfjs/node_modules/@tensorflow/tfjs-core/dist/tf-core.node.js:8053:19)
    at Object.kernelFunc (/dir/node_modules/@tensorflow/tfjs-node/dist/kernels/SplitV.js:44:32)```

Backing down to 4.1.0 fixed it.

Merub-810 · 2023-11-10T09:24:05Z

@Rhysjc which version of react native you are using because in my case 3..7.0. is incompatible with my react native version

JRfan123 · 2024-06-02T13:26:38Z

@Rhysjc which version of react native you are using because in my case 3..7.0. is incompatible with my react native version

me too

anglo2333 added the type:bug Something isn't working label Jan 14, 2023

gbaned assigned mattsoulanille Jan 17, 2023

qjia7 mentioned this issue Jan 18, 2023

WebGPU readSync is only available for CPU-resident tensors. #7274

Closed

0xori mentioned this issue Jan 18, 2023

TypeError: H(...).platform.isTypedArray is not a function vladmandic/face-api#153

Closed

FranciscoOssian mentioned this issue Jan 25, 2023

NSFWJS not working in react native infinitered/nsfwjs-mobile#24

Open

BruceDai mentioned this issue Mar 15, 2023

Upgrade dependencies webmachinelearning/webnn-polyfill#215

Merged

mattsoulanille mentioned this issue Mar 16, 2023

Fix missing isTypedArray when mixing versions of @tensorflow packages #7489

Merged

mattsoulanille closed this as completed in #7489 Mar 21, 2023

gaikwadrahul8 mentioned this issue Apr 3, 2023

[Universal Sentence Encoder] Not working in NodeJS (Failed to fetch) #7536

Closed

mattsoulanille mentioned this issue May 3, 2023

Support loading models with weights above 2GB on Chrome #7609

Merged

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TypeError: env().platform.isTypedArray is not a function. (In 'env().platform.isTypedArray(a)', 'env().platform.isTypedArray' is undefined) #7273

TypeError: env().platform.isTypedArray is not a function. (In 'env().platform.isTypedArray(a)', 'env().platform.isTypedArray' is undefined) #7273

anglo2333 commented Jan 14, 2023

AlexGurski commented Jan 16, 2023

asallem94 commented Jan 16, 2023

Rhysjc commented Jan 16, 2023 •

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anglo2333 commented Jan 16, 2023 via email

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Rhysjc commented Jan 16, 2023 •

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huhm commented Jan 17, 2023

Rhysjc commented Jan 17, 2023

Deeparaj-24 commented Jan 19, 2023

ToonTalk commented Jan 20, 2023

yousefamar commented Jan 23, 2023

hrshlmeht commented Feb 7, 2023

abhik-wil commented Feb 12, 2023

IvanKuchin commented Feb 17, 2023

DavidODonovan commented Feb 20, 2023

delirium15 commented Mar 2, 2023

BruceDai commented Mar 15, 2023

google-ml-butler bot commented Mar 21, 2023

ianmaddox commented Apr 4, 2023 •

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Merub-810 commented Nov 10, 2023

JRfan123 commented Jun 2, 2024

TypeError: env().platform.isTypedArray is not a function. (In 'env().platform.isTypedArray(a)', 'env().platform.isTypedArray' is undefined) #7273

TypeError: env().platform.isTypedArray is not a function. (In 'env().platform.isTypedArray(a)', 'env().platform.isTypedArray' is undefined) #7273

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anglo2333 commented Jan 14, 2023

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