CUTLASS backend for Inductor: PyTorch Compiler Series | Prasanna Biswas
CUTLASS backend for Inductor: PyTorch Compiler Series | Prasan…
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📣 In case you missed it: PyTorch Day India's full schedule is now available! Join us on 7 February in Bengaluru for cutting-edge sessions on optimized kernels, efficient AI through approximate computing, compiler design, and more. 📅 Full schedule: https://hubs.la/Q040qDZH0 Early bird pricing ends 1 February. Register now and save! 🎟️ Register: https://hubs.la/Q040qFl-0 #PyTorchDayIndia #PyTorch #PyTorchFoundation #AI #GenAI #MachineLearning #ML #DeepLearning #OpenSource #OpenSourceSoftware #O
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📣 In case you missed it: PyTorch Day India's full schedule is now availa…
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Our next PyTorch Compiler Series video is live covering CUTLASS backend for Inductor CUTLASS is an NVIDIA-provided library of highly-performant GEMM primitives. Michael Lazos discusses key concepts behind CUTLASS and demonstrates how to utilize torch.compile to customize these primitives for a specific workload via autotuning & epilogue fusion. 📺 Watch the full video on YouTube: https://hubs.la/Q03vfJ860 #PyTorch #Compiler #CUTLASS #GEMM #Demo | PyTorch
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Our next PyTorch Compiler Series video is live covering CUTLASS b…
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Next in our PyTorch Compiler Video Series, Sayak Paul introduces Diffusers, a Python library for state-of-the-art video, image, and audio generation, highlighting its optimization with torch.compile for performance benefits like offloading, LoRA, and quantization. ▶️ Watch the full video on YouTube: https://hubs.la/Q03Qknt60 | PyTorch
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1.6K reactions · 76 shares | Build and train neural networks with PyTorch, and seamlessly transition code for production deployment using TorchScript. | PyTorch | Facebook
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