Maxim Vafin
87e714eb5c
* Add support for concatenation in Loop * Apply suggestions from code review * Fix win build * Fix issues with propagation shapes and types in Loop * Fix einsum * Set type and shape of count in frontend
52 lines
1.5 KiB
Python
52 lines
1.5 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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import torch
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from pytorch_layer_test_class import PytorchLayerTest
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class aten_cat(torch.nn.Module):
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def forward(self, x):
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return torch.cat([x, x], 1)
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class aten_append_cat(torch.nn.Module):
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def forward(self, x):
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list = []
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list.append(x)
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list.append(x)
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return torch.cat(list, 1)
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class aten_loop_append_cat(torch.nn.Module):
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def forward(self, x):
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list = []
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for i in range(3):
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list.append(x)
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return torch.cat(list, 1)
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class TestCat(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, 1, 3),)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_cat(self, ie_device, precision, ir_version):
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self._test(aten_cat(), None, ["aten::cat", "prim::ListConstruct"],
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ie_device, precision, ir_version)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_append_cat(self, ie_device, precision, ir_version):
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self._test(aten_append_cat(), None, ["aten::cat", "aten::append", "prim::ListConstruct"],
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ie_device, precision, ir_version)
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_loop_append_cat(self, ie_device, precision, ir_version):
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self._test(aten_loop_append_cat(), None, ["aten::cat", "aten::append", "prim::ListConstruct", "prim::Loop"],
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ie_device, precision, ir_version, freeze_model=False)
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