torch-mlir/docs/development.md at main · llvm/torch-mlir · GitHub
Torch-MLIR depends on llvm-project (which contains, among other things, upstream MLIR) and stablehlo, both of which are submodules in the externals/ directory. We aim to update these at …
Activity · llvm/torch-mlir · GitHub
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Failed to legalize operation 'torch.aten.linear' that was ... - GitHub
Jul 18, 2022 · Try to lower torch model to LINALG_ON_TENSORS , but met exception below when nn.Linear's out_features is 1. The Exception will not appear if nn.Linear's out_features is …
[onnx] [torch] [linalg] Support of corner align mode for gridsampler
Apr 12, 2024 · Gridsampler comes with several modes and features, one of them is corner align (true / false). Only one of the two selections is currently available for gridsampler.
torch-mlir/CMakeLists.txt at main · llvm/torch-mlir · GitHub
If OFF, then no features which depend on # native extensions will be built.TORCH_MLIR_ENABLE_PYTORCH_EXTENSIONS is disabled by default. # But it will …
Lowering online ASR with emformer RNN-T model via TorchDynamo ... - GitHub
hypos = dynamo_callable(features, length, 10) File "/home1/akshay/.venv/torch-mlir-upstream39/lib/python3.9/site-packages/torch/nn/modules/module.py", line 1518, in …
WIP TorchFX by ramiro050 · Pull Request #304 · llvm/torch-mlir
Current features Currently I am able to take a module in the torch.fx.GraphModule representation and convert it into valid MLIR using the torch dialect. This implementation currently only …
bfloat16 lowering from torch MLIR to LinAlg fails for a small ...
Jan 30, 2024 · mlp.bf16.onnx.torch.mlir:16:10: error: failed to run translation of source executable to target executable for backend #hal.executable.target<"llvm-cpu", "embedded-elf-x86_64", …
Emit underscore version of aten.sqrt #1072 - GitHub
tanyokwok mentioned this pull request Sep 21, 2022 features/bladedisc rebase 20220830 pai-disc/torch-mlir#20 Closed
Using Torch-MLIR as a front-end for MLIR files - GitHub
Aug 8, 2022 · Torch-MLIR seems to support a lot of the features we want, mainly being able to handle different MLIR dialects for the same models. The idea is to get a model in Python, run …