1 files changed, 50 insertions, 0 deletions
diff --git a/compiler/mir-onnx-importer/Op/GlobalAveragePool.cpp b/compiler/mir-onnx-importer/Op/GlobalAveragePool.cpp
new file mode 100644
index 000000000..379c8b596
--- /dev/null
+++ b/compiler/mir-onnx-importer/Op/GlobalAveragePool.cpp
@@ -0,0 +1,50 @@
+/*
+ * Copyright (c) 2019 Samsung Electronics Co., Ltd. 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.
+ */
+
+#include "GlobalAveragePool.h"
+
+#include "ONNXHelpers.h"
+
+#include "mir/ops/AvgPool2DOp.h"
+
+namespace mir_onnx
+{
+
+void convertGlobalAveragePoolV2(const onnx::NodeProto &onnx_node, ConverterContext *context)
+{
+  std::vector<mir::Operation::Output *> inputs = context->getNodeInputs(onnx_node);
+  mir::Graph *graph = context->getGraph();
+
+  assert(inputs.size() == 1);
+  auto input = inputs[0];
+
+  const auto &input_shape = input->getShape();
+  if (input_shape.rank() != 4)
+    throw std::runtime_error("GlobalAveragePool: only 2-D input is supported.");
+
+  // GlobalAveragePool is equivalent to AveragePool with kernel size equal
+  // to the spatial dimension of input tensor.
+  const std::vector<std::int32_t> window_size{input->getShape().dim(2), input->getShape().dim(3)};
+  mir::AvgPool2DOpAttributes attributes;
+  attributes.window = window_size;
+  attributes.data_format = mir::DataFormat::NCHW;
+
+  auto result = createOp<mir::ops::AvgPool2DOp>(graph, input, attributes)->getOutput(0);
+
+  context->setNodeOutputs(onnx_node, {result});
+}
+
+} // namespace mir_onnx