Maxim Vafin
48dec1000e
* Support operations on aliases of tensors * Add tests * Fix issue with convnd * Fix code style * Fix issue with tensor index of mutated tensor * Fix if types alignment * Fix issues in keypoint detectron2 * Fix issue with masks in detectron2 * Fix acuracy issue in mobilevitv2 models * Remove unused includes * Return upsample case in lictconstruct replacer * Fix types, apply review feedback * Apply feedback * Revert change of not using shared_from_this for getitem * Fix issue in prim::device transformation * Fix layer tests * Apply review feedback * Fix issue with not existing alias to tensor
34 lines
973 B
Python
34 lines
973 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 TestCopy(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, value):
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import torch
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class aten_copy(torch.nn.Module):
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def __init__(self, value):
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super(aten_copy, self).__init__()
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self.value = torch.tensor(value)
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def forward(self, x):
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return x.copy_(self.value)
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ref_net = None
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return aten_copy(value), ref_net, "aten::copy_"
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@pytest.mark.nightly
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@pytest.mark.precommit
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@pytest.mark.parametrize("value", [1, [2.5], range(224)])
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def test_copy_(self, value, ie_device, precision, ir_version):
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self._test(*self.create_model(value), ie_device, precision, ir_version)
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