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`aten. _cdist_forward` · Issue #2725 · pytorch TensorRT · GitHub Merged 7 tasks chohk88 linked a pull request on Apr 4, 2024 that will close this issue feat: support aten _cdist_forward converter #2726 Merged 7 tasks zewenli98 closed this as completed in #2726 on May 17, 2024
Torch-TensorRT — Torch-TensorRT v2. 9. 0. dev0+48c07bc documentation Torch-TensorRT is a inference compiler for PyTorch, targeting NVIDIA GPUs via NVIDIA’s TensorRT Deep Learning Optimizer and Runtime It supports both just-in-time (JIT) compilation workflows via the torch compile interface as well as ahead-of-time (AOT) workflows
Torch-TensorRT v1. 0. 0 · pytorch TensorRT · Discussion #693 New Name!, Support for PyTorch 1 10, CUDA 11 3, New Packaging and Distribution Options, Stabilized APIs, Stabilized Partial Compilation, Adjusted Default Behavior, Usability Improvements, New Converters, Bug Fixes This is the first stable release of Torch-TensorRT targeting PyTorch 1 10, CUDA 11 3 (on x86_64, CUDA 10 2 on aarch64), cuDNN 8 2 and TensorRT 8 0 with backwards compatible source
PyTorch TorchScript FX compiler for NVIDIA GPUs using TensorRT - GitHub Torch-TensorRT Easily achieve the best inference performance for any PyTorch model on the NVIDIA platform Torch-TensorRT brings the power of TensorRT to PyTorch Accelerate inference latency by up to 5x compared to eager execution in just one line of code
[Bug] Encountered bug when using Torch-TensorRT, not support Bug Description Environment Build information about Torch-TensorRT can be found by turning on debug messages Torch-TensorRT Version (1 0 0): PyTorch Version (e g 1 10 0): CPU Architecture: intel O
Torch-TensorRT v1. 1. 1 · pytorch TensorRT · Discussion #1181 Adding support for Torch-TensorRT on Jetpack 5 0 Developer Preview Torch-TensorRT 1 1 1 is a patch release for Torch-TensorRT 1 1 that targets PyTorch 1 11, CUDA 11 4 11 3, TensorRT 8 4 EA 8 2 and cuDNN 8 3 8 2 intended to add support for Torch-TensorRT on Jetson Jetpack 5 0 DP
torch compile fails on torch. cdist when dynamic=True This issue will close once commit 12fa27d is merged into the 'main' branch 12fa27d pytorchmergebot added 3 commits that reference this issue on Apr 11, 2023 Update base for Update on " [pt2] add `SymInt` support for `cdist`"
Using Torch-TensorRT in C++ — Torch-TensorRT v2. 2. 0. dev0+f617898 . . . An easy way to get started with Torch-TensorRT and to check if your model can be supported without extra work is to run it through torchtrtc, which supports almost all features of the compiler from the command line including post training quantization (given a previously created calibration cache)