mirror of
https://github.com/zebrajr/pytorch.git
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6110effa86
Chatted with @stas00 on slack and here are some great improvements he suggested to the compile docs - [x] Rename `dynamo` folder to `compile` - [x] Link `compile` docstring on `torch.html` to main index page for compile - [x] Create a new index page that describes why people should care - [x] easy perf, memory reduction, 1 line - [x] Short benchmark table - [x] How to guide - [x] TOC that links to the more technical pages folks have written, make the existing docs we have a Technical overview - [x] Highlight the new APIs for `torch._inductor.list_options()` and `torch._inductor.list_mode_options()` - clarify these are inductor specific and add more prose around which ones are most interesting He also highlighted an interesting way to think about who is reading this doc we have - [x] End users, that just want things to run fast - [x] Library maintainers wrapping torch.compile which would care for example about understanding when in their code they should compile a model, which backends are supported - [x] Debuggers who needs are somewhat addressed by the troubleshooting guide and faq but those could be dramatically reworked to say what we expect to break And in a seperate PR I'll work on the below with @SherlockNoMad - [ ] Authors of new backends that care about how to plug into dynamo or inductor layer so need to explain some more internals like - [ ] IR - [ ] Where to plugin, dynamo? inductor? triton? Pull Request resolved: https://github.com/pytorch/pytorch/pull/96706 Approved by: https://github.com/svekars |
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| .. | ||
| _static | ||
| _templates | ||
| community | ||
| compile | ||
| elastic | ||
| notes | ||
| rpc | ||
| scripts | ||
| _dynamo.rst | ||
| amp.rst | ||
| autograd.rst | ||
| backends.rst | ||
| benchmark_utils.rst | ||
| bottleneck.rst | ||
| checkpoint.rst | ||
| complex_numbers.rst | ||
| conf.py | ||
| config_mod.rst | ||
| cpp_extension.rst | ||
| cpp_index.rst | ||
| cuda._sanitizer.rst | ||
| cuda.rst | ||
| cudnn_persistent_rnn.rst | ||
| cudnn_rnn_determinism.rst | ||
| data.rst | ||
| ddp_comm_hooks.rst | ||
| deploy.rst | ||
| distributed.algorithms.join.rst | ||
| distributed.checkpoint.rst | ||
| distributed.elastic.rst | ||
| distributed.optim.rst | ||
| distributed.rst | ||
| distributed.tensor.parallel.rst | ||
| distributions.rst | ||
| dlpack.rst | ||
| docutils.conf | ||
| fft.rst | ||
| fsdp.rst | ||
| func.api.rst | ||
| func.batch_norm.rst | ||
| func.migrating.rst | ||
| func.rst | ||
| func.ux_limitations.rst | ||
| func.whirlwind_tour.rst | ||
| futures.rst | ||
| fx.rst | ||
| hub.rst | ||
| index.rst | ||
| ir.rst | ||
| jit_builtin_functions.rst | ||
| jit_language_reference_v2.rst | ||
| jit_language_reference.rst | ||
| jit_python_reference.rst | ||
| jit_unsupported.rst | ||
| jit_utils.rst | ||
| jit.rst | ||
| library.rst | ||
| linalg.rst | ||
| masked.rst | ||
| math-quantizer-equation.png | ||
| mobile_optimizer.rst | ||
| model_zoo.rst | ||
| monitor.rst | ||
| mps.rst | ||
| multiprocessing.rst | ||
| name_inference.rst | ||
| named_tensor.rst | ||
| nested.rst | ||
| nn.functional.rst | ||
| nn.init.rst | ||
| nn.rst | ||
| onnx_diagnostics.rst | ||
| onnx_supported_aten_ops.rst | ||
| onnx.rst | ||
| optim.rst | ||
| package.rst | ||
| pipeline.rst | ||
| profiler.rst | ||
| quantization-accuracy-debugging.rst | ||
| quantization-backend-configuration.rst | ||
| quantization-support.rst | ||
| quantization.rst | ||
| random.rst | ||
| rpc.rst | ||
| signal.rst | ||
| sparse.rst | ||
| special.rst | ||
| storage.rst | ||
| tensor_attributes.rst | ||
| tensor_view.rst | ||
| tensorboard.rst | ||
| tensors.rst | ||
| testing.rst | ||
| torch.ao.ns._numeric_suite_fx.rst | ||
| torch.ao.ns._numeric_suite.rst | ||
| torch.overrides.rst | ||
| torch.rst | ||
| type_info.rst | ||
