mirror of https://github.com/llvm/torch-mlir
26 lines
618 B
Python
26 lines
618 B
Python
# -*- Python -*-
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# This file is licensed under a pytorch-style license
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# See frontends/pytorch/LICENSE for license information.
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import torch
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import npcomp.frontends.pytorch as torch_mlir
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import torchvision.models as models
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# RUN: python %s | FileCheck %s
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dev = torch_mlir.mlir_device()
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model = models.resnet18().to(dev)
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model.training = False
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tensor = torch.randn(32,3,32,32).to(dev)
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result = model(tensor)
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mlir = torch_mlir.get_mlir( result )
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# for now we just check the output shape
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# CHECK-LABEL: test_export_resnet18
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# CHECK: return %{{.*}} : tensor<32x1000xf32>
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print("test_export_resnet18")
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print(mlir)
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