90ef7096b9
* [PT FE]: support PReLU * Update tests/layer_tests/pytorch_tests/test_prelu.py * Apply suggestions from code review Co-authored-by: Piotr Krzemiński <piotrkrzeminski1234@gmail.com> --------- Co-authored-by: Piotr Krzemiński <piotrkrzeminski1234@gmail.com>
35 lines
1022 B
Python
35 lines
1022 B
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 TestPRelu(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(1, 3, 224, 224).astype(np.float32),)
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def create_model(self, alpha):
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import torch
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import torch.nn.functional as F
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class aten_prelu(torch.nn.Module):
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def __init__(self, alpha):
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super(aten_prelu, self).__init__()
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self.alpha = torch.Tensor([alpha])
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def forward(self, x):
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return x, F.prelu(x, self.alpha)
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ref_net = None
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return aten_prelu(alpha), ref_net, "aten::prelu"
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@pytest.mark.parametrize("alpha", [0.01, 1.01, -0.01])
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_prelu(self, alpha, ie_device, precision, ir_version):
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self._test(*self.create_model(alpha), ie_device, precision, ir_version)
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