Merge pull request #14804 from mozga-intel/mozga-intel/top_k_operator_ngraph

Enable top_k operator for a ngraph engine

paddle/fluid/framework/ngraph_bridge.cc

@@ -34,7 +34,8 @@ std::map<std::string,
         {"mul", paddle::operators::ngraphs::BuildMulNode},
         {"mul_grad", paddle::operators::ngraphs::BuildMulGradNode},
         {"relu", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Relu>},
-        {"tanh", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Tanh>}};
+        {"tanh", paddle::operators::ngraphs::BuildUnaryNode<ngraph::op::Tanh>},
+        {"top_k", paddle::operators::ngraphs::BuildTopKNode}};
 
 void NgraphBridge::BuildNgNode(const std::shared_ptr<OperatorBase>& op) {
   auto& op_type = op->Type();

paddle/fluid/operators/ngraph/ngraph_ops.h

@@ -23,3 +23,4 @@ limitations under the License. */
 
 #include "ops/binary_unnary_op.h"
 #include "ops/mul_op.h"
+#include "ops/top_k_op.h"

paddle/fluid/operators/ngraph/ops/top_k_op.h

@@ -0,0 +1,51 @@
+/*Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+
+Licensed under the Apache License, Version 2.0 (the "License");
+you may not use this file except in compliance with the License.
+You may obtain a copy of the License at
+
+    http://www.apache.org/licenses/LICENSE-2.0
+
+Unless required by applicable law or agreed to in writing, software
+distributed under the License is distributed on an "AS IS" BASIS,
+WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+See the License for the specific language governing permissions and
+limitations under the License. */
+
+#ifdef PADDLE_WITH_NGRAPH
+#pragma once
+
+#include <string>
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+void BuildTopKNode(
+    const std::shared_ptr<paddle::framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto op_attrs = paddle::framework::AttrReader(op->Attrs());
+  int k = op_attrs.Get<int>("k");
+  auto input = paddle::platform::GetInputNode(op, "X", ngb_node_map);
+  auto top_k = std::make_shared<ngraph::op::TopK>(
+      input, input->get_shape().size() - 1, ngraph::element::i64, k);
+  std::shared_ptr<ngraph::Node> indices =
+      std::make_shared<ngraph::op::GetOutputElement>(top_k, 0);
+  std::shared_ptr<ngraph::Node> out =
+      std::make_shared<ngraph::op::GetOutputElement>(top_k, 1);
+  auto dummy_out = paddle::platform::GetOutputNode(op, "Out", ngb_node_map);
+  if (dummy_out && dummy_out->get_element_type() != out->get_element_type()) {
+    out = std::make_shared<ngraph::op::Convert>(out,
+                                                dummy_out->get_element_type());
+  }
+  paddle::platform::SetOutputNode(op, "Indices", indices, ngb_node_map);
+  paddle::platform::SetOutputNode(op, "Out", out, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+#endif

python/paddle/fluid/tests/unittests/ngraph/test_top_k_ngraph_op.py

@@ -0,0 +1,41 @@
+# Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+from __future__ import print_function
+
+import unittest
+from paddle.fluid.tests.unittests.test_top_k_op import TestTopkOp, TestTopkOp3d, TestTopkOp2, TestTopkOp3, TestTopkOp4
+
+
+class TestNGRAPHTopkOp(TestTopkOp):
+    def setUp(self):
+        super(TestNGRAPHTopkOp, self).setUp()
+
+
+class TestNGRAPHTopkOp2(TestTopkOp2):
+    def setUp(self):
+        super(TestNGRAPHTopkOp2, self).setUp()
+
+
+class TestNGRAPHTopkOp3(TestTopkOp3):
+    def setUp(self):
+        super(TestNGRAPHTopkOp3, self).setUp()
+
+
+class TestNGRAPHTopkOp4(TestTopkOp4):
+    def setUp(self):
+        super(TestNGRAPHTopkOp4, self).setUp()
+
+
+if __name__ == "__main__":
+    unittest.main()