2023-02-02 21:29:47 +08:00
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import torch
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import torchvision.models as models
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2024-02-07 11:07:59 +08:00
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from torch_mlir import torchscript
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2023-02-02 21:29:47 +08:00
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model = models.resnet18(pretrained=True)
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model.eval()
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data = torch.randn(2,3,200,200)
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out_stablehlo_mlir_path = "./resnet18_stablehlo.mlir"
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2024-02-07 11:07:59 +08:00
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module = torchscript.compile(model, data, output_type=torchscript.OutputType.STABLEHLO, use_tracing=False)
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2023-02-02 21:29:47 +08:00
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with open(out_stablehlo_mlir_path, "w", encoding="utf-8") as outf:
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outf.write(str(module))
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print(f"StableHLO IR of resent18 successfully written into {out_stablehlo_mlir_path}")
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