Maxim Vafin
8d0381b0fe
* [PT FE] Implement custom op for types alignment * Fix code style * Fix inplace ops * Fix layer tests * Remove no longer needed change * Fix ovc tests * Fix fe tests
35 lines
1.0 KiB
Python
35 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 TestStrides(PytorchLayerTest):
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def _prepare_input(self):
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import numpy as np
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x = np.random.randint(0, 10, [1, 3, 2, 2]).astype(np.float32)
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return (x,)
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def create_model(self):
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import torch
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class strided_const(torch.nn.Module):
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def __init__(self):
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super(strided_const, self).__init__()
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self.const = torch.randint(0, 10, [1, 3, 2, 2], dtype=torch.float32)
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self.const = self.const.to(memory_format=torch.channels_last)
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def forward(self, x):
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return x + self.const
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ref_net = None
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return strided_const(), ref_net, None
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_strides(self, ie_device, precision, ir_version):
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self._test(*self.create_model(), ie_device, precision, ir_version, use_convert_model=True)
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