Add ngraph sum, sigmoid, relu_grad and tanh_grad op (#15642)

* Added ngraph sum op test=develop

* Added sigmoid, relu_grad and tanh_grad test=develop

* remove duplicates test=develop

paddle/fluid/operators/ngraph/ngraph_bridge.cc

@@ -48,8 +48,12 @@ std::map<std::string,
         {"softmax", NG_OPS::BuildSoftmaxNode},
         {"softmax_grad", NG_OPS::BuildSoftmaxGradNode},
         {"scale", NG_OPS::BuildScaleNode},
+        {"sigmoid", NG_OPS::BuildUnaryNode<ngraph::op::Sigmoid>},
+        {"sum", NG_OPS::BuildSumNode},
         {"relu", NG_OPS::BuildUnaryNode<ngraph::op::Relu>},
+        {"relu_grad", NG_OPS::BuildReluGradNode},
         {"tanh", NG_OPS::BuildUnaryNode<ngraph::op::Tanh>},
+        {"tanh_grad", NG_OPS::BuildTanhGradNode},
         {"top_k", NG_OPS::BuildTopKNode}};
 
 void NgraphBridge::BuildNgNode(

paddle/fluid/operators/ngraph/ngraph_ops.h

@@ -22,6 +22,7 @@ limitations under the License. */
 #pragma once
 
 #include "ops/accuracy_op.h"
+#include "ops/activation_op.h"
 #include "ops/batch_norm_op.h"
 #include "ops/binary_unary_op.h"
 #include "ops/conv2d_op.h"
@@ -32,4 +33,5 @@ limitations under the License. */
 #include "ops/pool2d_op.h"
 #include "ops/scale_op.h"
 #include "ops/softmax_op.h"
+#include "ops/sum_op.h"
 #include "ops/top_k_op.h"

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

+/*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. */
+
+#pragma once
+
+#include <string>
+
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+void BuildReluGradNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto out = platform::GetInputNode(op, "Out", ngb_node_map);
+  auto dout = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto relu_grad = std::make_shared<ngraph::op::ReluBackprop>(out, dout);
+  platform::SetOutputNode(op, "X@GRAD", relu_grad, ngb_node_map);
+}
+
+void BuildTanhGradNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto out = platform::GetInputNode(op, "Out", ngb_node_map);
+  auto dout = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto shape = out->get_shape();
+  auto node_const =
+      ngraph::op::Constant::create(ngraph::element::f32, shape, {1});
+  auto result = dout * (node_const - out * out);
+  platform::SetOutputNode(op, "X@GRAD", result, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle

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

+/*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. */
+
+#pragma once
+
+#include <string>
+#include <vector>
+
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+void BuildSumNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  std::vector<std::string> op_inputs;
+  for (auto& var_name_item : op->Inputs()) {
+    for (auto& var_name : var_name_item.second) {
+      op_inputs.push_back(var_name);
+      if (ngb_node_map->find(var_name) == ngb_node_map->end()) {
+        PADDLE_THROW("op % input varname %s is not found in var_node_map",
+                     op->Type(), var_name);
+      }
+    }
+  }
+  std::shared_ptr<ngraph::Node>& sum = ngb_node_map->at(op_inputs[0]);
+  for (size_t k = 1; k < op_inputs.size(); ++k) {
+    std::shared_ptr<ngraph::Node>& nodek = ngb_node_map->at(op_inputs[k]);
+    if (nodek->get_element_type() != sum->get_element_type()) {
+      nodek =
+          std::make_shared<ngraph::op::Convert>(nodek, sum->get_element_type());
+    }
+    sum = sum + nodek;
+  }
+  platform::SetOutputNode(op, "Out", sum, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle

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

@@ -18,17 +18,7 @@ import unittest
 import numpy as np
 import paddle.fluid.core as core
 from paddle.fluid.tests.unittests.op_test import OpTest
-from paddle.fluid.tests.unittests.test_activation_op import TestRelu, TestTanh
-
-
-class TestNGRAPHReluDim2(TestRelu):
-    def setUp(self):
-        super(TestNGRAPHReluDim2, self).setUp()
-
-
-class TestNGRAPHTanhDim2(TestTanh):
-    def setUp(self):
-        super(TestNGRAPHTanhDim2, self).setUp()
+from paddle.fluid.tests.unittests.test_activation_op import TestSigmoid, TestRelu, TestTanh
 
 
 class TestNGRAPHReluDim4(TestRelu):

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

+#   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_sum_op import TestSumOp, TestSelectedRowsSumOp, TestLoDTensorAndSelectedRowsOp
+
+if __name__ == "__main__":
+    unittest.main()