do you wish to optimize your script with torch dynamo ?

Description

do you wish to optimize your script with torch dynamo ?

Here are some links that might be useful to you:

https://pytorch.org/docs/stable/torch.compiler_deepdive.html

https://pytorch.org/docs/stable/torch.compiler_deepdive.html
TorchDynamo Deep Dive — PyTorch 2.3 documentation
TorchDynamo Deep Dive¶. Before you read this section, read torch.compiler.. TorchDynamo is a Python-level Just-In-Time (JIT) compiler designed to make unmodified PyTorch programs faster. TorchDynamo hooks into the frame evaluation API in CPython to dynamically modify Python bytecode right before it is executed.It rewrites Python bytecode to extract sequences of PyTorch operations into an FX …
TorchDynamo: An Experiment in Dynamic Python Bytecode Transformation
def custom_compiler(graph: torch.fx.GraphModule) → Callable: # do cool compiler optimizations here return graph.forward with torchdynamo.optimize(custom_compiler): # any PyTorch code # custom_compiler() is called to optimize extracted fragments # should reach a fixed point where nothing new is compiled # Optionally: with torchdynamo.run …
TorchDynamo APIs for fine-grained tracing — PyTorch 2.3 documentation
Rarely useful for deployment – If you think you need this, most probably you need either disable or disallow_in_graph. torch.compiler.is_compiling. Indicates whether a graph is executed/traced as part of torch.compile() or torch.export(). torch.compiler.is_dynamo_compiling. Indicates whether a graph is traced via TorchDynamo.

https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/6932

https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/6932
PyTorch 2.0 and Torch Compile general discussion – GitHub
19 janv. 2023Optimize 1. Accelerate. But now onto main reason why even try torch nightlies: Torch includes dynamic compiler/optimizer which is only available in nightly builds: Dynamo. If you’re lucky few, you may be able to configure Accelerate to use Dynamo. accelerate config. Do you wish to dynamo?[yes/NO]: yes

https://github.com / kohya-ss / sd-scripts / issues / 65

https://github.com / kohya-ss / sd-scripts / issues / 65
Add `accelerate` torch.compile () support for faster training on …
13 janv. 2023Do you wish to optimize your script with torch dynamo?[yes/NO]:yes —–Which dynamo backend would you like to use? Please select a choice using the arrow or number keys, and selecting with enter eager aot_eager inductor nvfuser aot_nvfuser aot_cudagraphs ofi fx2trt onnxrt ipex

https://huggingface.co/docs/accelerate/usage_guides/ipex

https://huggingface.co/docs/accelerate/usage_guides/ipex
Intel® Extension for PyTorch – Hugging Face
[yes /NO]: yes Do you wish to optimize your script with torch dynamo?[yes /NO]:NO Do you want to use DeepSpeed? [yes /NO]: NO —– Do you wish to use FP16 or BF16 (mixed precision)? bf16. This will generate a config file that will be used automatically to properly set the default options when doing. Copied. accelerate launch my_script.py …

https://github.com/pytorch/torchdynamo

https://github.com/pytorch/torchdynamo
GitHub – pytorch/torchdynamo: A Python-level JIT compiler designed to …
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https://www.youtube.com/watch?v=5FNHwPIyHr8

https://www.youtube.com/watch?v=5FNHwPIyHr8
PyTorch 2.0 Live Q&A Series: A Deep Dive on TorchDynamo
Deep dive into Torchdynamo with Michael Voznesensky.Michael will answer your questions about Torchdynamo and give a full end-to-end story of how dynamo trace…

https://huggingface.co/docs/accelerate/main/en/package_reference/accelerator

https://huggingface.co/docs/accelerate/main/en/package_reference/accelerator
Accelerator – Hugging Face
dynamo_backend (str or DynamoBackend, optional, defaults to no) — Set to one of the possible dynamo backends to optimize your training with torch dynamo. gradient … This is useful in blocks under autocast where you want to revert … >>> # Assume later in the training script >>> # `should_do_breakpoint` is a custom function to …

https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/dynamo_compile_advanced_usage.html

https://pytorch.org/TensorRT/tutorials/_rendered_examples/dynamo/dynamo_compile_advanced_usage.html
Dynamo Compile Advanced Usage — Torch-TensorRT v1.4.0+7d1d80773 …
This interactive script is intended as an overview of the process by which torch_tensorrt.dynamo.compile works, … # If we want to customize certain options in the backend, # but still use the torch.compile call directly, … To analyze traffic and optimize your experience, we serve cookies on this site. By clicking or navigating, you agree to …

https://forum.dynamobim.com/t/optimizing-dynamo-script/36441

https://forum.dynamobim.com/t/optimizing-dynamo-script/36441
Optimizing dynamo script – Dynamo
To get the best performance you need to: Re-write your script in C# (Visual Programming is inherently inefficient due to the high levels of redundancy which have to be accepted for it to function) Stick to the Revit API and avoid the ProtoGeometry library and any kind of geometry conversion or element wrapping between Revit and . 2 Likes.

https://blog.csdn.net/alionsss/article/details/130414687

https://blog.csdn.net/alionsss/article/details/130414687
PyTorch——利用Accelerate轻松控制多个CPU/GPU/TPU加速计算
28 avr. 2023192.168.101 What is the port you will use to communicate with the main process? 12345 Are all the machines on the same local network? Answer `no` if nodes are on the cloud and / or on different network hosts [YES / no]: yes Do you wish to optimize your script with torch dynamo? [yes / NO]: no Do you want to use DeepSpeed?
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