34 lines
1.0 KiB
Python
34 lines
1.0 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import pytest
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from pytorch_layer_test_class import PytorchLayerTest
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class TestGelu(PytorchLayerTest):
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def _prepare_input(self):
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import numpy as np
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return (np.random.randn(2, 3).astype(np.float32),)
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def create_model(self, approximate):
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import torch
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import torch.nn.functional as F
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class aten_gelu(torch.nn.Module):
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def __init__(self, approximate='none'):
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super(aten_gelu, self).__init__()
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self.approximate = approximate
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def forward(self, x):
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return F.gelu(x, approximate=self.approximate)
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ref_net = None
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return aten_gelu(approximate), ref_net, "aten::gelu"
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@pytest.mark.nightly
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@pytest.mark.precommit
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@pytest.mark.parametrize("approximate", ["none", "tanh"])
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def test_glu(self, approximate, ie_device, precision, ir_version):
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self._test(*self.create_model(approximate), ie_device, precision, ir_version) |