mirror of https://github.com/llvm/torch-mlir
075464fa74
This makes it much easier to convert models and hides all the ClassAnnotator complexity. This also adds a new example `torchscript_resnet18_all_output_types.py` which shows the ResNet18 IR for all output types. Also, - This moves `run_pipeline_with_repro_report` to `torch_mlir.compiler_utils`. |
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.. | ||
eager_mode.py | ||
eager_mode_resnet18.py | ||
torchscript_resnet18.py | ||
torchscript_resnet18_all_output_types.py | ||
torchscript_resnet_inference.ipynb |