The engine plan file is not compatible with this version of TensorRT, expecting library version 5.1.2 got 5.1.5,please rebuild!!!
run ldd program command and result as follows:
libnvinfer.so.5 => /home/ouzh/downloads/TensorRT-5.1.2.2/targets/x86_64-linux-gnu/lib/libnvinfer.so.5 (0x00007fac3b57d000)
link 5.1.2,but why got 5.1.5?
baasit8
September 5, 2019, 11:31am
3
How did you solve the problem?
Ensure the same version of TensorRT when building and running the engine!
baasit8
September 6, 2019, 4:47am
5
Built it on 5.1.5 and running it on 5.1.5. Still gives me the same error.
1 Like
I built it on 8.0.1.6 and also running it on 8.0.1.6. But I am getting the same error
NVES
August 4, 2021, 10:07am
7
Hi ,
We recommend you to check the supported features from the below link.
These support matrices provide a look into the supported platforms, features, and hardware capabilities of the NVIDIA TensorRT 8.4.3 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
<!--- SPDX-License-Identifier: Apache-2.0 -->
# Supported ONNX Operators
TensorRT 8.4 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!
I dont have CuDnn on my system. Could this be the reason for this error?