Merge pull request openvinotoolkit#62 from eaidova/ea/clone

ignore aten::clone

src/frontends/pytorch/src/op_table.cpp

@@ -105,6 +105,7 @@ const std::map<std::string, CreatorFunction> get_supported_ops() {
         {"aten::clamp", op::translate_clamp},
         {"aten::clamp_min", op::translate_1to1_match_2_inputs<opset8::Maximum>},
         {"aten::clamp_max", op::translate_1to1_match_2_inputs<opset8::Minimum>},
+        {"aten::clone", op::skip_node},       // ignore clone operators that are inserted by PyTorch autograd
         {"aten::contiguous", op::skip_node},  // In openvino how tensors are stored in memory is internal plugin detail,
                                               // we assume all tensors are contiguous
         {"aten::conv2d", op::translate_conv2d},
@@ -184,7 +185,8 @@ const std::map<std::string, CreatorFunction> get_supported_ops() {
         {"aten::sub", op::translate_sub},
         {"aten::sum", op::translate_sum},
         {"aten::tanh", op::translate_1to1_match_1_inputs<opset8::Tanh>},
-        {"aten::type_as", op::translate_1to1_match_2_inputs<opset8::ConvertLike>}, // TODO: overflow semantics is different
+        {"aten::type_as",
+         op::translate_1to1_match_2_inputs<opset8::ConvertLike>},  // TODO: overflow semantics is different
         {"aten::to", op::translate_to},
         {"aten::transpose", op::translate_transpose},
         {"aten::unsqueeze", op::translate_1to1_match_2_inputs<opset8::Unsqueeze>},

tests/layer_tests/pytorch_tests/test_clone.py

@@ -0,0 +1,27 @@
+# Copyright (C) 2018-2022 Intel Corporation
+# SPDX-License-Identifier: Apache-2.0
+
+import pytest
+from pytorch_layer_test_class import PytorchLayerTest
+
+
+class TestClone(PytorchLayerTest):
+    def _prepare_input(self):
+        import numpy as np
+        return (np.random.randn(1, 3, 224, 224).astype(np.float32),)
+
+    def create_model(self):
+        import torch
+
+        class aten_clone(torch.nn.Module):
+
+            def forward(self, x):
+                return torch.clone(x)
+
+        ref_net = None
+
+        return aten_clone(), ref_net, "aten::clone"
+
+    @pytest.mark.nightly
+    def test_clone(self, ie_device, precision, ir_version):
+        self._test(*self.create_model(), ie_device, precision, ir_version)