executorch
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On-device AI across mobile, embedded and edge for PyTorch
Summary: In readme of alpha github, some links are pointing to stable or main branch github repostory. However, for alpha release, we need to make sure those links are also...
Running the tutorial https://pytorch.org/executorch/stable/running-a-model-cpp-tutorial.html I got error `error: too few arguments to function call expected at least 2, have 1 Result method = program->load_method(method_name);` I've created model with variable shape...
build of executorch triggers a warning related to too many arguments provided for format string. https://github.com/pytorch/torchchat/actions/runs/8768143958/job/24062159094?pr=327 ``` In file included from /home/runner/work/torchchat/torchchat/etorch/executorch/extension/data_loader/../../../executorch/runtime/core/error.h:18, from /home/runner/work/torchchat/torchchat/etorch/executorch/extension/data_loader/../../../executorch/runtime/core/result.h:19, from /home/runner/work/torchchat/torchchat/etorch/executorch/extension/data_loader/../../../executorch/runtime/core/data_loader.h:14, from /home/runner/work/torchchat/torchchat/etorch/executorch/extension/data_loader/../../../executorch/extension/data_loader/mmap_data_loader.h:11, from /home/runner/work/torchchat/torchchat/etorch/executorch/extension/data_loader/mmap_data_loader.cpp:9:...
Summary: Under the same setting as the last diff, we support `bias=false`. Differential Revision: D56285842
Summary: With this change, Wav2Vec2ASR can be lowered. Note that is cannot run yet, because it is missing many ops. Differential Revision: D56377662
Summary: For LLAMA3, users need to use tiktoken. Add a option to load from env var. Differential Revision: D56374673
conv1d
Summary: We follow D50914117 to implement a specific case of conv1d for our needs. Specifically, we require - the input tensor to have a single batch - groups == in_channels...
Summary: as title Reviewed By: SS-JIA Differential Revision: D56333587
I'm targeting Snapdragon 8 Gen 2 hardware, but it is using (non-Android) aarch64 Linux (under a QNX hypervisor) as the operating system. I've been able to use the QNN SDK...