43 lines
1.1 KiB
Python
43 lines
1.1 KiB
Python
# Copyright (C) 2018-2023 Intel Corporation
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# SPDX-License-Identifier: Apache-2.0
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import numpy as np
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import pytest
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from pytorch_layer_test_class import PytorchLayerTest
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class TestReshape(PytorchLayerTest):
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def _prepare_input(self):
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return (np.random.uniform(0, 50, (1, 12, 12, 24)).astype(np.float32),)
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def create_model(self, shape):
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import torch
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class aten_reshape(torch.nn.Module):
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def __init__(self, shape):
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super(aten_reshape, self).__init__()
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self.shape = shape
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def forward(self, x):
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return torch.reshape(x, self.shape)
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ref_net = None
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return aten_reshape(shape), ref_net, "aten::reshape"
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@pytest.mark.parametrize(("shape"), [
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[-1, 6],
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[12, 12, 24, 1],
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[12, 12, 12, 2],
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[12, -1, 12, 24],
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[24, 12, 12, 1],
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[24, 12, 12, -1],
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[24, 1, -1, 12],
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[24, 1, 1, -1, 12],
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])
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_reshape(self, shape, ie_device, precision, ir_version):
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self._test(*self.create_model(shape), ie_device, precision, ir_version)
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