Suitable cuda toolkit and cudnn for windows laptop

pks101295nit2017 · July 2, 2023, 11:40am

Hi,
I have following below specs of my laptop can anyone help me to redirect which cudnn and cuda toolkit will work, I am tired of this installation, i tried with 11 and 12 version but nothing worked as gpu is still not getting detected.
I have uninstalled evrything and going for reinstallation, need guidance for that.

Laptop specs:
os: windows 11
GPU: RTX 3060 (16 GB)

Sorry for this naive question, very new to Data science.

AakankshaS · July 2, 2023, 6:07pm

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!