Tensor Flow with GPU support for GTX 1650 max Q

jithinprakash1026 · April 10, 2023, 3:03pm

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.

AakankshaS · April 10, 2023, 3:37pm

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

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

github.com

onnx/onnx-tensorrt/blob/main/docs/operators.md

<!--- SPDX-License-Identifier: Apache-2.0 -->

# Supported ONNX Operators

TensorRT 8.6 supports operators up to Opset 17. Latest information of ONNX operators can be found [here](https://github.com/onnx/onnx/blob/master/docs/Operators.md)

TensorRT supports the following ONNX data types: DOUBLE, FLOAT32, FLOAT16, INT8, and BOOL

> Note: There is limited support for INT32, INT64, and DOUBLE types. TensorRT will attempt to cast down INT64 to INT32 and DOUBLE down to FLOAT, clamping values to `+-INT_MAX` or `+-FLT_MAX` if necessary.

See below for the support matrix of ONNX operators in ONNX-TensorRT.

## Operator Support Matrix

| Operator                  | Supported  | Supported Types | Restrictions                                                                                                           |
|---------------------------|------------|-----------------|------------------------------------------------------------------------------------------------------------------------|
| Abs                       | Y          | FP32, FP16, INT32 |
| Acos                      | Y          | FP32, FP16 |
| Acosh                     | Y          | FP32, FP16 |
| Add                       | Y          | FP32, FP16, INT32 |

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Thanks!

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Tensor Flow with GPU support for GTX 1650 max Q

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