前段时间因为工作原因重新浏览了 torch.compile 中几个重要的函数调用栈,现将这些内容分享给有兴趣通过源代码理解 torch.compile 行为的朋友。 本文使用 PyTorch 官方提供的 docker 镜像: pytorch/pytorch:2.4.0-cuda12.4-cudnn9-devel,PyTorch 版本为 2.4.0。 本文所用示例代码: import
"max-autotune":此模式利用基于Triton或模板的matmul,在GPU上运行时默认使用cuda graph。 "max-autotune-no-cudagraph": 同上,区别是不使用cuda graph。 options:一个字典,用于将一些选项传给backend,详情可torch._inductor.list_options()来查看可接受的参数。 disable:如果设置为True,则 TC不对传入的模型进行任何...
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [cudagraph] torch.compile(backend="cudagraphs") + StableDiffusion2.1 doesn't work · pytorch/pytorch@d3a11a0
Tensors and Dynamic neural networks in Python with strong GPU acceleration - [cudagraph] torch.compile(backend="cudagraphs") + StableDiffusion2.1 doesn't work · pytorch/pytorch@f6838d5
评估视觉Transformer模型在 torch.compile(default) 模式下的性能 torch._dynamo.reset() model_opt1 = torch.compile(model, fullgraph=True) t_compilation, _ = timed(lambda:model_opt1(**inputs), 1, dtype) t_warmup, _ = timed(lambda:model_opt1(**inputs), n_warmup, dtype) ...
寒武纪在PrivateUse1接入方案的基础上优化了非CUDA设备的接入体验，在今年向PyTorch社区提交了数十个Patch，涉及Profiler、Compile、Graph Capture、Autograd、Allocator、Storage, FSDP、Sparse等众多模块，打通了这些模块与PrivateUse1的集成路径，进一步完善了PrivateUse1机制。未来，第三方设备的厂商和开发者就能够充分利用...
-作为torch.compile的基础技术,带有Nvidia和AMD GPU的TorchInductor将依赖OpenAI Triton深度学习编译器来生成高性能代码,并隐藏低级硬件细节。OpenAI Triton生成的内核实现的性能,与手写内核和cublas等专门的cuda库相当。 -Accelerated Transformers引入了对训练和推理的高性能支持,使用自定义内核架构实现缩放点积注意力 (SPDA...
detections_batch = model(torch.randn(128, 3, 224, 224).to("cuda")) detections_batch.shape This returns a tensor of [128, 1000] corresponding to 128 samples and 1,000 classes. To benchmark this model through both PyTorch JIT and Torch-TensorRT AOT compilation methods, write a simple ...
(e.g., 'cpu', 'cuda:0'),or torch.device (e.g., torch.device('cpu'))Arguments:f: a file-like object (has to implement read, readline, tell, and seek),or a string containing a file namemap_location: can a string (e.g., 'cpu', 'cuda:0'), a device (e.g.,torch.device...
编译opencv3.1.0时可能会出现trying to build v3.1 opencv with cuda support. standard cmake. project of: opencv_cudalegacy not compile -- nppiGraphcut missing的报错,解决方法如下: try this: in graphcuts.cpp (where your error is thrown) change this: ...