TensorRT
sparsednn
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| TensorRT | sparsednn | |
|---|---|---|
| 5 | 1 | |
| 2,319 | 51 | |
| 2.8% | - | |
| 9.6 | 0.0 | |
| 6 days ago | over 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" License | Apache License 2.0 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
TensorRT
- Learn TensorRT optimization
- I made TensorRT example. I hope this will help beginners. And I also have a question about TensorRT best practice.
- [P] [D] I made TensorRT example. I hope this will help beginners. And I also have a question about TensorRT best practice.
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[P] 4.5 times faster Hugging Face transformer inference by modifying some Python AST
Have you tried the new Torch-TensorRT compiler from NVIDIA?
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PyTorch 1.10
You can quantize your model to FP16 or Int8 using PTQ as well and it should give you an additional speed up inference wise.
Here is a tutorial[2] to leverage TRTorch.
sparsednn
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[P] 4.5 times faster Hugging Face transformer inference by modifying some Python AST
If you are ever interested in looking at pruning, happy to integrate my open source library https://github.com/marsupialtail/sparsednn. Latest update has unstructured and structured sparse int8 kernels. 3x speedup over dense int8 at 90 percent sparsity with 1x4 blocks.
What are some alternatives?
torch2trt - An easy to use PyTorch to TensorRT converter
transformer-deploy - Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀
onnxruntime - ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
mmrazor - OpenMMLab Model Compression Toolbox and Benchmark.
cutlass - CUDA Templates for Linear Algebra Subroutines
onnx-simplifier - Simplify your onnx model
TensorRT - NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
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mlops-course - Learn how to design, develop, deploy and iterate on production-grade ML applications.