33 lines
1011 B
Python
33 lines
1011 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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import numpy as np
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import torch
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from pytorch_layer_test_class import PytorchLayerTest
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@pytest.mark.parametrize("dtype", [np.int32, np.float32])
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@pytest.mark.parametrize("shape", [[], [1], [1, 1, 1]])
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class TestItem(PytorchLayerTest):
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def _prepare_input(self):
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return [np.random.randn(1).astype(self.dtype).reshape(self.shape)]
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def create_model(self):
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class aten_item(torch.nn.Module):
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def forward(self, x: torch.Tensor):
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return x.item()
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ref_net = None
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return aten_item(), ref_net, "aten::item"
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_item(self, ie_device, precision, ir_version, dtype, shape):
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self.dtype = dtype
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self.shape = shape
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# Dynamic shapes are not supported by Squeeze implementation
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self._test(*self.create_model(), ie_device, precision, ir_version, dynamic_shapes=False)
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