Verify that you have the NVIDIA CUDA™ Toolkit installed.Ensure you are familiar with the NVIDIA TensorRT Release Notes.On your system, refer to the NVIDIA CUDA-Python Installation Guide. If you are using the TensorRT Python API and CUDA-Python isn’t already installed.Pascal, NVIDIA Volta™, NVIDIA Turing™, NVIDIA AmpereĪrchitecture, NVIDIA Ada Lovelace architecture, and NVIDIA Hopper™ TensorRT also includes optional high speed mixed precision capabilities with the NVIDIA TensorRT also supplies a runtime that you can use to execute this network onĪll of NVIDIA’s GPU’s from the NVIDIA Pascal™ generation onwards. Implementation of that model leveraging a diverse collection of highly optimized Optimizations, layer fusions, among other optimizations, while also finding the fastest TensorRT to optimize and run them on an NVIDIA GPU. The Network Definition API or load a pre-defined model via the parsers that allow TensorRT provides APIs via C++ and Python that help to express deep learning models via Trained parameters, and produces a highly optimized runtime engine that performs TensorRT takes a trained network, which consists of a network definition and a set of That facilitates high-performance inference on NVIDIA graphics processing units (GPUs). If you suspect the export fail is due to not enough available space on the device, include the size of your project and the amount of space available on the device.The core of NVIDIA ® TensorRT™ is a C++ library.Indicate if your project crashes the app on export (you see the desktop).If you are getting an error message on export, include a screenshot of it.If you see a pattern in at what point the export fails, please describe it.Indicate that you have tried the suggestions in this checklist.If possible, include the following information so that we can help you effeciently. If after going through this checklist you are still unable to export, please contact us using our contact form at /support. If an Error at Time is an issue, try removing possible problematic clips and exporting. Often in this case, there may be a problematic clip just before or after the noted time, or there may be a transition or effect that's contributing to the problem. This may provide a good indication of where the problem is in the project. If you see an error message showing an Error at Time:, take note of that time.Select 'Optimize and Consolidate' - this will make a duplicate of your project and optimize the media on the duplicated project, leaving your original project and media unchanged.Tap on the Funnel Icon on the bottom bar.Open the Project Manager and highlight your project.To Optimize and Consolidate your project: Optimize and Consolidate can sometimes help with export. Copy everything on your current timeline using the multi select button, Copy your selection, then Paste your timeline into a new project.This article goes through the steps on how to clear space on your device. If you your project is larger than the amount of space on your device, or if size of the project gets close to hitting the GB limit of the device, you will need create space in order to export. Check iPhone/iPad Storage: Settings App > General > iPhone or iPad Storage.Check the file size of your project: Share/Export > Moving Settings > Export Info.In order to export, there needs to space available on the device to write your project. Check the storage space available on your device.Force close all apps, then power off then back on the device.Check that your device is updated to the latest versions of iOS and LumaFusion.Please check and try your export after each procedure. If your project will not export, go through this checklist of possible solutions. What should I do when I receive an export error or crash?
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