Description
I am running into this error.
[06/17/2026-14:29:28] [TRT] [E] [convertExplicitDDSPluginToImplicit.cpp::convertExplicitDDSPluginToImplicit::149] Error Code 2: Internal Error (Assertion nodeIdxToDDSOutputIndices.count(i) == nodeIdxToSizeTensors.count(i) failed. In convertExplicitDDSPluginToImplicit at /_src/optimizer/myelin/rewrite/convertExplicitDDSPluginToImplicit.cpp:149)
I wish to understand the following,
- What does this file do? convertExplicitDDSPluginToImplicit.cpp
- What does this error mean? Error (Assertion nodeIdxToDDSOutputIndices.count(i) == nodeIdxToSizeTensors.count(i) failed. what is it checking?
Environment
TensorRT Version:
10.15.1
NVIDIA GPU:
5090
NVIDIA Driver Version:
580.159.03
CUDA Version:
12.8
CUDNN Version:
9.7.1
Operating System:
Ubuntu 22.04.4 LTS
Python Version (if applicable):
3.10.12
Tensorflow Version (if applicable):
N/A
PyTorch Version (if applicable):
2.7.0+cu128
Baremetal or Container (if so, version):
Docker container (Ubuntu 22.04 base)
TensorRT version:
10.15.1.29, GPU: RTX 5090.
Relevant Files
Model link:
Steps To Reproduce
Commands or scripts:
Have you tried the latest release?:
Attach the captured .json and .bin files from TensorRT's API Capture tool if you're on an x86_64 Unix system
Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (polygraphy run <model.onnx> --onnxrt):
Description
I am running into this error.
[06/17/2026-14:29:28] [TRT] [E] [convertExplicitDDSPluginToImplicit.cpp::convertExplicitDDSPluginToImplicit::149] Error Code 2: Internal Error (Assertion nodeIdxToDDSOutputIndices.count(i) == nodeIdxToSizeTensors.count(i) failed. In convertExplicitDDSPluginToImplicit at /_src/optimizer/myelin/rewrite/convertExplicitDDSPluginToImplicit.cpp:149)I wish to understand the following,
Environment
TensorRT Version:
10.15.1
NVIDIA GPU:
5090
NVIDIA Driver Version:
580.159.03
CUDA Version:
12.8
CUDNN Version:
9.7.1
Operating System:
Ubuntu 22.04.4 LTS
Python Version (if applicable):
3.10.12
Tensorflow Version (if applicable):
N/A
PyTorch Version (if applicable):
2.7.0+cu128
Baremetal or Container (if so, version):
Docker container (Ubuntu 22.04 base)
TensorRT version:
10.15.1.29, GPU: RTX 5090.
Relevant Files
Model link:
Steps To Reproduce
Commands or scripts:
Have you tried the latest release?:
Attach the captured .json and .bin files from TensorRT's API Capture tool if you're on an x86_64 Unix system
Can this model run on other frameworks? For example run ONNX model with ONNXRuntime (
polygraphy run <model.onnx> --onnxrt):