# Tensor Flow with GPU support for GTX 1650 max Q

**URL:** https://forums.developer.nvidia.com/t/tensor-flow-with-gpu-support-for-gtx-1650-max-q/249332
**Category:** TensorRT
**Created:** [April 10, 2023, 3:03pm UTC](https://forums.developer.nvidia.com/t/tensor-flow-with-gpu-support-for-gtx-1650-max-q/249332 "2023-04-10T15:03:45Z")
**Posts on this page:** 2
**Page:** 1

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### Author: ![jithinprakash1026](https://developer.download.nvidia.com/images/forums/profile-default-devtalk-84.png) [@jithinprakash1026](https://forums.developer.nvidia.com/u/jithinprakash1026)
#### Post date: [April 10, 2023, 3:03pm UTC](https://forums.developer.nvidia.com/t/tensor-flow-with-gpu-support-for-gtx-1650-max-q/249332/1 "2023-04-10T15:03:45Z")

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## Description

TUF-Gaming-FX505DT-FX505DT:

lspci | grep VGA

01:00.0 VGA compatible controller: NVIDIA Corporation TU117M [GeForce GTX 1650 Mobile / Max-Q] (rev ff)  
05:00.0 VGA compatible controller: Advanced Micro Devices, Inc. [AMD/ATI] Picasso/Raven 2 [Radeon Vega Series / Radeon Vega Mobile Series] (rev c2)

I have recently ordered a gtx 3060 + R5 7600x system , it will reach in 1-2 week before it arrives i thought to try tensorflow on my laptop ,i currently have an asus tuf fx 505DT laptop with 1650 max q

i am trying to install tensorflow with gpu support , but i am facing many issues from choosing which cuda, cudnn , gcc version to choose and how to install them. i am on ubuntu 22.04. Can some one post all steps , including version to install.

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<div class="post-metadata">

### Author: ![AakankshaS](https://sea2.discourse-cdn.com/nvidia/user_avatar/forums.developer.nvidia.com/aakankshas/32/14047_2.png) [@AakankshaS](https://forums.developer.nvidia.com/u/AakankshaS)
#### Post date: [April 10, 2023, 3:37pm UTC](https://forums.developer.nvidia.com/t/tensor-flow-with-gpu-support-for-gtx-1650-max-q/249332/2 "2023-04-10T15:37:56Z")

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Hi ,  
We recommend you to check the supported features from the below link.

> **[Support Matrix :: NVIDIA Deep Learning TensorRT Documentation](https://docs.nvidia.com/deeplearning/tensorrt/support-matrix/index.html)**
>
> These support matrices provide a look into the supported platforms, features, and hardware capabilities of the NVIDIA TensorRT 8.6.0 Early Access (EA) APIs, parsers, and layers.

You can refer below link for all the supported operators list.  
For unsupported operators, you need to create a custom plugin to support the operation

> <https://github.com/onnx/onnx-tensorrt/blob/main/docs/operators.md>

Thanks!