[PT FE] Add aten::__and__ operator with layer test (#15365)

* Layer test for aten::__add__ operator

* Not working version of aten::__and__

* Simplified implementation of ante::__and__ operator

* Fix file format

src/frontends/pytorch/src/op_table.cpp

@@ -111,6 +111,7 @@ OP_CONVERTER(translate_zeros_like);
 
 const std::map<std::string, CreatorFunction> get_supported_ops() {
     return {
+        {"aten::__and__", op::translate_1to1_match_2_inputs<opset10::LogicalAnd>},  // TODO: cover numerical cases
         {"aten::__not__", op::translate_1to1_match_1_inputs<opset10::LogicalNot>},
         {"aten::_convolution", op::translate_convolution},
         {"aten::_convolution_mode", op::translate_convolution_mode},

tests/layer_tests/pytorch_tests/test_and.py

@@ -0,0 +1,56 @@
+# Copyright (C) 2018-2023 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import numpy as np
+import pytest
+import torch
+
+from pytorch_layer_test_class import PytorchLayerTest
+
+
+class TestAnd(PytorchLayerTest):
+
+    def _prepare_input(self):
+        return self.input_data
+
+    def create_model_tensor_input(self):
+        class aten_and_tensor(torch.nn.Module):
+
+            def __init__(self) -> None:
+                super().__init__()
+
+            def forward(self, tensor_a, tensor_b):
+                return tensor_a & tensor_b
+
+        ref_net = None
+
+        return aten_and_tensor(), ref_net, "aten::__and__"
+    
+    def create_model_bool_input(self):
+        class aten_and_bool(torch.nn.Module):
+
+            def __init__(self) -> None:
+                super().__init__()
+
+            def forward(self, bool_a: bool, bool_b: bool):
+                return bool_a & bool_b
+
+        ref_net = None
+
+        return aten_and_bool(), ref_net, "aten::__and__"
+
+    @pytest.mark.nightly
+    @pytest.mark.precommit
+    def test_and_tensor(self, ie_device, precision, ir_version):
+        self.input_data = (np.array([True, False, False], dtype=np.bool_), np.array(
+            [True, True, False], dtype=np.bool_))
+        self._test(*self.create_model_tensor_input(),
+                   ie_device, precision, ir_version)
+
+    @pytest.mark.nightly
+    @pytest.mark.precommit
+    def test_and_bool(self, ie_device, precision, ir_version):
+        self.input_data = (np.array(True, dtype=np.bool_),
+                           np.array(True, dtype=np.bool_))
+        self._test(*self.create_model_bool_input(),
+                   ie_device, precision, ir_version)