When trying to convert onnx to TensorRt I get the follwoing error in jetson nano with jetpack 4.3, TensorRt 6.0.1 [TensorRT] ERROR: (unnamed layer* 0) [Convolution]: at least 4 dimensions are required for input [TensorRT] ERROR: (unnamed layer* 0) [Activation]: at least 1 dimensions are required fo…

Hi, This specific issue is arising because the ONNX Parser isn’t currently compatible with the ONNX models exported from Pytorch 1.3 - If you downgrade to Pytorch 1.2, this issue should go away. TRT 7 supports pytorch 1.3. But latest Jetpack 4.3 just support TRT 6. Please refer below link for mor…

Hi, I ran with with trt.Builder(TRT_LOGGER) as builder, builder.create_network() as network, trt.OnnxParser(network, TRT_LOGGER) as parser: with open("trk2.onnx", 'rb') as model: config = builder.create_builder_config() sd = parser.parse(model.read()) …

Hi, Model seems to work on TRT7. Will recommend you to use latest TRT release. Also, it seems the model is produced using Pytorch 1.3 which is not supported in TRT 6. If you want to use TRT 6, please try downgrading pytorch model to 1.2 to generate a new model. Thanks

Hi, Tried with pytorch 1.2 in Jetson nano but it doesn’t work. I got same error, also tried with different opset_version=9,10. ---------------------------------------------------------------- Input filename: new_trkk1.onnx ONNX IR version: 0.0.4 Opset version: 10 Producer name: pytorch Pro…

Hi, The model seems to be working of TRT 7 but fails on TRT 6 with below error: Unsqueezing from (4, 13, 13) to (4, 13, 13, 0) Floating point exception Seems to be similar to below issue, could you please try the resolution suggested in below link: https://github.com/NVIDIA/TensorRT/issues/190 T…

Hi, It will be more clear if u mention in this link https://github.com/NVIDIA/TensorRT/issues/190 in which comment there is solution Do I need to install OSS component in Jetson nano?

Hi, Please refer to below link for steps to install OSS in Jetson Nano: https://devtalk.nvidia.com/default/topic/1067542/jetson-agx-xavier/indexerror-list-index-out-of-range-object-detection-and-instance-segmentations-with-a-tensorflow-ma-/post/5408940/#5408940 Thanks

Hi, I cannot able to install it in Jetson nano, I get below error, -- ******** Summary ******** -- CMake version : 3.13.0 -- CMake command : /usr/local/bin/cmake -- System : Linux -- C++ compiler : /usr/bin/g++ -- C++ compiler version : 7.4.0 -- …

Tensorrt from onnx ERR: atleast 4 dimensions are required for input

AI & Data Science Deep Learning (Training & Inference) TensorRT

sathiez February 6, 2020, 3:37pm 4

any update?

Topic		Replies	Views
TensorRt Error Network must have at least one output , using onnx model in Jetson nano TensorRT	13	2691	September 24, 2020
Running a pytorch network converted to ONNX with TensorRT on the TX2 Jetson TX2	24	9300	October 18, 2021
Erorr with onnx to trt Jetson Xavier NX tensorrt	8	1352	March 30, 2022
ONNX to TensorRT conversion Jetson Nano tensorrt , pytorch , onnx	4	529	July 3, 2024
Onnx to torchrt convertion error TensorRT tensorrt , cuda , onnx , tf-trt , jetson	3	1195	February 8, 2022
Problem converting tensorflow model to TensorRT Jetson Nano tensorrt , tensorflow	5	484	March 26, 2024
Convert the onnx model to TRT engine by onnx2trt on AGX \| JetPack v4.4 Jetson AGX Xavier tensorrt	4	3285	October 18, 2021
TensorRT cannot parse ONNX model TensorRT	5	1926	June 18, 2020
Could not parse ONNX model from file TensorRT	9	3999	January 24, 2024
Could not parse ONNX model (2) TensorRT cudnn	0	436	February 5, 2024

Tensorrt from onnx ERR: atleast 4 dimensions are required for input

Related topics