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https://github.com/nod-ai/AMD-SHARK-Studio.git
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65 lines
1.9 KiB
Python
65 lines
1.9 KiB
Python
from shark.iree_utils._common import check_device_drivers, device_driver_info
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from shark.shark_inference import SharkInference
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from shark.shark_downloader import download_tf_model
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from shark.parser import shark_args
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import iree.compiler as ireec
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import unittest
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import pytest
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import numpy as np
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import tempfile
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import os
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class DebertaBaseModuleTester:
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def __init__(
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self,
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benchmark=False,
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):
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self.benchmark = benchmark
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def create_and_check_module(self, dynamic, device):
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model, func_name, inputs, golden_out = download_tf_model(
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"microsoft/deberta-base"
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)
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shark_module = SharkInference(
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model, func_name, device=device, mlir_dialect="mhlo"
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)
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shark_module.compile()
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result = shark_module.forward(inputs)
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np.testing.assert_allclose(golden_out, result, rtol=1e-02, atol=1e-03)
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class DebertaBaseModuleTest(unittest.TestCase):
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@pytest.skip(reason="Model can't be imported.", allow_module_level=True)
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@pytest.fixture(autouse=True)
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def configure(self, pytestconfig):
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self.module_tester = DebertaBaseModuleTester(self)
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self.module_tester.benchmark = pytestconfig.getoption("benchmark")
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def test_module_static_cpu(self):
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dynamic = False
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device = "cpu"
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self.module_tester.create_and_check_module(dynamic, device)
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@pytest.mark.skipif(
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check_device_drivers("gpu"), reason=device_driver_info("gpu")
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)
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def test_module_static_gpu(self):
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dynamic = False
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device = "gpu"
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self.module_tester.create_and_check_module(dynamic, device)
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@pytest.mark.skipif(
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check_device_drivers("vulkan"), reason=device_driver_info("vulkan")
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)
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def test_module_static_vulkan(self):
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dynamic = False
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device = "vulkan"
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self.module_tester.create_and_check_module(dynamic, device)
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if __name__ == "__main__":
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unittest.main()
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