Added adam op test=develop (#15710)

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

@@ -0,0 +1,79 @@
+/*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 <memory>
+#include <string>
+#include <unordered_map>
+
+#include "ngraph/ngraph.hpp"
+#include "paddle/fluid/operators/ngraph/ops/elementwise_scalar_op.h"
+#include "paddle/fluid/operators/ngraph/ops/op_bridge.h"
+#include "paddle/fluid/platform/ngraph_helper.h"
+
+namespace paddle {
+namespace operators {
+namespace ngraphs {
+
+void BuildAdamNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto beta1pow = platform::GetInputNode(op, "Beta1Pow", ngb_node_map);
+  auto beta2pow = platform::GetInputNode(op, "Beta2Pow", ngb_node_map);
+  auto grad = platform::GetInputNode(op, "Grad", ngb_node_map);
+  auto learning_rate = platform::GetInputNode(op, "LearningRate", ngb_node_map);
+  auto moment1 = platform::GetInputNode(op, "Moment1", ngb_node_map);
+  auto moment2 = platform::GetInputNode(op, "Moment2", ngb_node_map);
+  auto param = platform::GetInputNode(op, "Param", ngb_node_map);
+
+  auto epsilon = op_attrs.Get<float>("epsilon");
+  auto beta2 = op_attrs.Get<float>("beta2");
+  auto beta1 = op_attrs.Get<float>("beta1");
+
+  auto moment1_shape = moment1->get_shape();
+  auto grad_shape = grad->get_shape();
+
+  auto moment1out = std::make_shared<ngraph::op::Add>(
+      ElementwiseScalar<ngraph::op::Multiply>(beta1, moment1),
+      ElementwiseScalar<ngraph::op::Multiply>(1. - beta1, grad));
+
+  auto grad_square = std::make_shared<ngraph::op::Multiply>(grad, grad);
+  auto moment2out = std::make_shared<ngraph::op::Add>(
+      ElementwiseScalar<ngraph::op::Multiply>(beta2, moment2),
+      ElementwiseScalar<ngraph::op::Multiply>(1. - beta2, grad_square));
+  auto node_sqrt = std::make_shared<ngraph::op::Sqrt>(
+      ElementwiseScalar<ngraph::op::Subtract>(1., beta2pow));
+  auto lr = std::make_shared<ngraph::op::Divide>(
+      node_sqrt, ElementwiseScalar<ngraph::op::Subtract>(1., beta1pow));
+  auto updated_lr = std::make_shared<ngraph::op::Multiply>(learning_rate, lr);
+
+  auto moment2_sqrt = std::make_shared<ngraph::op::Sqrt>(moment2out);
+  auto param_grad = std::make_shared<ngraph::op::Divide>(
+      moment1out, ElementwiseScalar<ngraph::op::Add>(epsilon, moment2_sqrt));
+  auto delta = ElementwiseScalar<ngraph::op::Multiply>(updated_lr, param_grad);
+  auto param_out = std::make_shared<ngraph::op::Subtract>(param, delta);
+
+  platform::SetOutputNode(op, "Moment1Out", moment1out, ngb_node_map);
+  platform::SetOutputNode(op, "Moment2Out", moment2out, ngb_node_map);
+  platform::SetOutputNode(op, "ParamOut", param_out, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(adam, BuildAdamNode);

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

@@ -0,0 +1,21 @@
+#   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_adam_op import TestAdamOp1, TestAdamOp2, TestAdamOpMultipleSteps, TestSparseAdamOp
+
+if __name__ == "__main__":
+    unittest.main()