NGraph Added dropout and dropout_grad to ngraph test=develop (#17320)

paddle/fluid/operators/ngraph/ngraph_engine.cc

@@ -61,6 +61,7 @@ static std::map<framework::proto::VarType::Type, ngraph::element::Type>
         {framework::proto::VarType::FP64, ngraph::element::f64},
         {framework::proto::VarType::INT32, ngraph::element::i32},
         {framework::proto::VarType::INT64, ngraph::element::i64},
+        {framework::proto::VarType::UINT8, ngraph::element::u8},
         {framework::proto::VarType::BOOL, ngraph::element::boolean}};
 
 static std::map<ngraph::element::Type, framework::proto::VarType::Type>
@@ -69,6 +70,7 @@ static std::map<ngraph::element::Type, framework::proto::VarType::Type>
         {ngraph::element::f64, framework::proto::VarType::FP64},
         {ngraph::element::i32, framework::proto::VarType::INT32},
         {ngraph::element::i64, framework::proto::VarType::INT64},
+        {ngraph::element::u8, framework::proto::VarType::UINT8},
         {ngraph::element::boolean, framework::proto::VarType::BOOL}};
 
 std::vector<std::string> NgraphEngine::feed_vars = {};

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

@@ -0,0 +1,110 @@
+/*Copyright (c) 2019 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 <functional>
+#include <memory>
+#include <string>
+#include <unordered_map>
+
+#include "ngraph/ngraph.hpp"
+#include "ngraph/op/experimental/generate_mask.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 {
+
+static void BuildDropoutNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto input = platform::GetInputNode(op, "X", ngb_node_map);
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto dropout_prob = op_attrs.Get<float>("dropout_prob");
+  auto dropout_implementation =
+      op_attrs.Get<std::string>("dropout_implementation");
+  auto is_test = op_attrs.Get<bool>("is_test");
+  auto seed = op_attrs.Get<int>("seed");
+  float value = 1.0f - dropout_prob;
+  bool upscale_in_train = (dropout_implementation == "upscale_in_train");
+
+  if (is_test) {
+    if (upscale_in_train) {
+      platform::SetOutputNode(op, "Out", input, ngb_node_map);
+    } else {
+      auto mask_val = paddle::platform::CreateConstant(
+          input->get_element_type(), input->get_shape(), {value});
+      auto out = input * mask_val;
+      platform::SetOutputNode(op, "Out", out, ngb_node_map);
+    }
+  } else {
+    auto one = paddle::platform::CreateConstant(input->get_element_type(),
+                                                ngraph::Shape{}, {1});
+
+    auto gen_mask = std::make_shared<ngraph::op::GenerateMask>(
+        one, input->get_shape(), input->get_element_type(), seed, value);
+
+    if (upscale_in_train) {
+      auto mask_val = paddle::platform::CreateConstant(
+          input->get_element_type(), input->get_shape(), {value});
+
+      auto out = value ? input * gen_mask / mask_val : input * gen_mask;
+      platform::SetOutputNode(op, "Mask", gen_mask, ngb_node_map);
+      platform::SetOutputNode(op, "Out", out, ngb_node_map);
+    } else {
+      auto out = input * gen_mask;
+      platform::SetOutputNode(op, "Mask", gen_mask, ngb_node_map);
+      platform::SetOutputNode(op, "Out", out, ngb_node_map);
+    }
+  }
+}
+
+static void BuildDropoutGradNode(
+    const std::shared_ptr<framework::OperatorBase>& op,
+    std::shared_ptr<
+        std::unordered_map<std::string, std::shared_ptr<ngraph::Node>>>
+        ngb_node_map) {
+  auto dy = platform::GetInputNode(op, "Out@GRAD", ngb_node_map);
+  auto mask = platform::GetInputNode(op, "Mask", ngb_node_map);
+  if (dy->get_element_type() != mask->get_element_type()) {
+    mask = std::make_shared<ngraph::op::Convert>(mask, dy->get_element_type());
+  }
+
+  auto op_attrs = framework::AttrReader(op->Attrs());
+  auto dropout_prob = op_attrs.Get<float>("dropout_prob");
+  auto dropout_implementation =
+      op_attrs.Get<std::string>("dropout_implementation");
+  auto dx = dy * mask;
+
+  if (dropout_implementation == "upscale_in_train") {
+    if (dropout_prob == 1.0f) {
+      dx = ElementwiseScalar<ngraph::op::Multiply>(0., dy);
+    } else {
+      dx =
+          ElementwiseScalar<ngraph::op::Multiply>(1. / (1. - dropout_prob), dx);
+    }
+  }
+  platform::SetOutputNode(op, "X@GRAD", dx, ngb_node_map);
+}
+}  // namespace ngraphs
+}  // namespace operators
+}  // namespace paddle
+
+REGISTER_NG_OP(dropout, BuildDropoutNode);
+REGISTER_NG_OP(dropout_grad, BuildDropoutGradNode);

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

@@ -0,0 +1,21 @@
+#   Copyright (c) 2019 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_dropout_op import TestDropoutOp, TestDropoutOp2, TestDropoutOp3, TestDropoutOp4, TestDropoutOp5, TestDropoutOp6, TestDropoutOp7, TestDropoutOp8, TestDropoutOp9
+
+if __name__ == '__main__':
+    unittest.main()