78 lines
2.2 KiB
Python
78 lines
2.2 KiB
Python
# Copyright (C) 2018-2024 Intel Corporation
|
|
# SPDX-License-Identifier: Apache-2.0
|
|
|
|
import numpy as np
|
|
import pytest
|
|
import torch
|
|
|
|
from pytorch_layer_test_class import PytorchLayerTest
|
|
|
|
|
|
@pytest.mark.parametrize('input_tensor',
|
|
[
|
|
[2, 1, 3], [3, 7], [1, 1, 4, 4]
|
|
])
|
|
class TestLen(PytorchLayerTest):
|
|
|
|
def _prepare_input(self):
|
|
input_tensor = self.input_tensor * 10
|
|
return (input_tensor.astype(np.int64),)
|
|
|
|
def create_model(self):
|
|
class aten_len(torch.nn.Module):
|
|
|
|
def forward(self, input_tensor):
|
|
return torch.tensor(len(input_tensor))
|
|
|
|
ref_net = None
|
|
|
|
return aten_len(), ref_net, "aten::len"
|
|
|
|
def create_model_int_list(self):
|
|
class aten_len(torch.nn.Module):
|
|
|
|
def forward(self, input_tensor):
|
|
int_list = input_tensor.size()
|
|
return torch.tensor(len(int_list))
|
|
|
|
ref_net = None
|
|
|
|
return aten_len(), ref_net, "aten::len"
|
|
|
|
@pytest.mark.nightly
|
|
@pytest.mark.precommit
|
|
def test_len(self, ie_device, precision, ir_version, input_tensor):
|
|
self.input_tensor = np.random.randn(*input_tensor).astype(np.float32)
|
|
self._test(*self.create_model(), ie_device, precision, ir_version)
|
|
|
|
@pytest.mark.nightly
|
|
@pytest.mark.precommit
|
|
def test_len_int_list(self, ie_device, precision, ir_version, input_tensor):
|
|
self.input_tensor = np.random.randn(*input_tensor).astype(np.float32)
|
|
self._test(*self.create_model_int_list(),
|
|
ie_device, precision, ir_version, use_convert_model=True)
|
|
|
|
|
|
class TestLenEmpty(PytorchLayerTest):
|
|
|
|
def _prepare_input(self):
|
|
input_tensor = np.random.randn(1, 2, 3) * 10
|
|
return (input_tensor.astype(np.int64),)
|
|
|
|
def create_model_empty(self):
|
|
class aten_len(torch.nn.Module):
|
|
|
|
def forward(self, input_tensor):
|
|
# len of empty slice
|
|
return torch.tensor(len(input_tensor[0:0]))
|
|
|
|
ref_net = None
|
|
|
|
return aten_len(), ref_net, "aten::len"
|
|
|
|
@pytest.mark.nightly
|
|
@pytest.mark.precommit
|
|
def test_len_empty(self, ie_device, precision, ir_version):
|
|
self._test(*self.create_model_empty(),
|
|
ie_device, precision, ir_version)
|