mirror of https://github.com/llvm/torch-mlir
33 lines
734 B
Python
33 lines
734 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 npcomp.frontends.pytorch.test as test
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# RUN: python %s | FileCheck %s
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dev = torch_mlir.mlir_device()
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t0 = torch.randn((3,13), device=dev)
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t1 = torch.randn((13,5), device=dev)
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print(t0.to('cpu'), t1.to('cpu'))
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print(torch.mm(t0.to('cpu'), t1.to('cpu')))
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t2 = torch.mm(t0, t1)
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#
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# Check the result tensor against the CPU
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#
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t0_cpu = t0.to('cpu')
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t1_cpu = t1.to('cpu')
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t2_cpu = t2.to('cpu')
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print (t0_cpu, " *\n", t1_cpu, " =\n", t2_cpu)
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ref_tensor = torch.mm(t0_cpu, t1_cpu)
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# CHECK: PASS! mm check
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test.compare(t2, ref_tensor, "mm")
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