1 files changed, 113 insertions, 0 deletions
diff --git a/compiler/locomotiv/src/Node/TensorConcat.cpp b/compiler/locomotiv/src/Node/TensorConcat.cpp
new file mode 100644
index 000000000..5097e55c6
--- /dev/null
+++ b/compiler/locomotiv/src/Node/TensorConcat.cpp
@@ -0,0 +1,113 @@
+/*
+ * 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 "NodeExecution.h"
+
+#include "NodeDataImpl.h"
+#include "NodeDomain.h"
+#include "Validation.h"
+
+#include <nncc/core/ADT/tensor/Shape.h>
+#include <nncc/core/ADT/tensor/Buffer.h>
+#include <nncc/core/ADT/tensor/Index.h>
+#include <nncc/core/ADT/tensor/IndexEnumerator.h>
+#include <nncc/core/ADT/tensor/LexicalLayout.h>
+
+using nncc::core::ADT::tensor::Index;
+using nncc::core::ADT::tensor::IndexEnumerator;
+using nncc::core::ADT::tensor::LexicalLayout;
+using nncc::core::ADT::tensor::make_buffer;
+using nncc::core::ADT::tensor::Shape;
+
+#include <cassert>
+#include <stdexcept>
+
+namespace locomotiv
+{
+
+void NodeExecution::execute(loco::TensorConcat *tensor_concat)
+{
+  auto lhs_data = annot_data(tensor_concat->lhs());
+  auto rhs_data = annot_data(tensor_concat->rhs());
+  auto axis = tensor_concat->axis();
+
+  validate(lhs_data && rhs_data, "Ingredient not ready");
+  validate(lhs_data->dtype() == rhs_data->dtype(), "lhs and rhs of Concat should have same dtype");
+
+  validate(annot_domain(tensor_concat->lhs()) == loco::Domain::Tensor &&
+               annot_domain(tensor_concat->rhs()) == loco::Domain::Tensor,
+           "Some ingredients of TensorConcat is not Tensor");
+
+  // Calculate output shape
+  Shape lhs_shape = *lhs_data->shape();
+  Shape rhs_shape = *rhs_data->shape();
+  Shape concat_shape;
+
+  assert(lhs_shape.rank() == rhs_shape.rank());
+  concat_shape.resize(lhs_shape.rank());
+  for (uint32_t index = 0; index < lhs_shape.rank(); ++index)
+  {
+    if (index == axis)
+      concat_shape.dim(index) = lhs_shape.dim(index) + rhs_shape.dim(index);
+    else
+    {
+      assert(lhs_shape.dim(index) == rhs_shape.dim(index));
+      concat_shape.dim(index) = lhs_shape.dim(index);
+    }
+  }
+  auto left_dim_size = lhs_shape.dim(axis);
+
+  // Copy data from two inputs LHS and RHS to Concat
+  std::unique_ptr<NodeData> concat_data = nullptr;
+  switch (lhs_data->dtype())
+  {
+    case loco::DataType::FLOAT32:
+    {
+      auto lhs_bufptr = lhs_data->as_f32_bufptr();
+      auto rhs_bufptr = rhs_data->as_f32_bufptr();
+      auto concat_buf = make_buffer<float, LexicalLayout>(concat_shape);
+
+      for (IndexEnumerator e{concat_shape}; e.valid(); e.advance())
+      {
+        const auto &e_index = e.current();
+
+        if (e_index.at(axis) < left_dim_size)
+        {
+          // Left index is same as output index
+          concat_buf.at(e_index) = lhs_bufptr->at(e_index);
+        }
+        else
+        {
+          // Adjust right index to valid range
+          Index r_index = e_index;
+          r_index.at(axis) -= left_dim_size;
+          concat_buf.at(e_index) = rhs_bufptr->at(r_index);
+        }
+      }
+
+      concat_data = make_data(concat_buf);
+      break;
+    }
+    default:
+      throw std::runtime_error("NYI for this DataType");
+  }
+
+  assert(concat_data != nullptr);
+  annot_data(tensor_concat, std::move(concat_data));
+  annot_domain(tensor_concat, loco::Domain::Tensor);
+}
+
+} // namespace locomotiv