76 lines
2.3 KiB
Python
76 lines
2.3 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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import torch
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from pytorch_layer_test_class import PytorchLayerTest
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@pytest.mark.parametrize('input_tensor', (np.random.randn(2, 1, 3), np.random.randn(3, 7),
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np.random.randn(1, 1, 4, 4)))
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class TestLen(PytorchLayerTest):
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def _prepare_input(self):
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input_tensor = self.input_tensor * 10
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return (input_tensor.astype(np.int64),)
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def create_model(self):
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class aten_len(torch.nn.Module):
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def forward(self, input_tensor):
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return torch.as_tensor(len(input_tensor), dtype=torch.int)
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ref_net = None
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return aten_len(), ref_net, "aten::len"
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def create_model_int_list(self):
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class aten_len(torch.nn.Module):
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def forward(self, input_tensor):
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int_list = input_tensor.size()
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return torch.as_tensor(len(int_list), dtype=torch.int)
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ref_net = None
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return aten_len(), ref_net, "aten::len"
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_len(self, ie_device, precision, ir_version, input_tensor):
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self.input_tensor = input_tensor
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self._test(*self.create_model(), 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_len_int_list(self, ie_device, precision, ir_version, input_tensor):
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self.input_tensor = input_tensor
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self._test(*self.create_model_int_list(),
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ie_device, precision, ir_version)
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class TestLenEmpty(PytorchLayerTest):
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def _prepare_input(self):
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input_tensor = np.random.randn(1, 2, 3) * 10
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return (input_tensor.astype(np.int64),)
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def create_model_empty(self):
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class aten_len(torch.nn.Module):
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def forward(self, input_tensor):
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# len of empty slice
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return torch.as_tensor(len(input_tensor[0:0]), dtype=torch.int)
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ref_net = None
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return aten_len(), ref_net, "aten::len"
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@pytest.mark.nightly
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@pytest.mark.precommit
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def test_len_empty(self, ie_device, precision, ir_version):
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self._test(*self.create_model_empty(),
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ie_device, precision, ir_version)
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