From 3c9a8fb4b23aa956b8aa5f459ba50ef14bc12f80 Mon Sep 17 00:00:00 2001
From: =?utf8?q?=EB=B0=95=EC=A2=85=ED=98=84/=EB=8F=99=EC=9E=91=EC=A0=9C?=
 =?utf8?q?=EC=96=B4Lab=28SR=29/Staff=20Engineer/=EC=82=BC=EC=84=B1?=
 =?utf8?q?=EC=A0=84=EC=9E=90?= <jh1302.park@samsung.com>
Date: Fri, 7 Sep 2018 11:18:30 +0900
Subject: [PATCH] [enco] Introduce ConcatSpec class (#1403)

This commit introduces ConcatSpec class which estimates the output shape
of Concat layer.

Signed-off-by: Jonghyun Park <jh1302.park@samsung.com>
---
 contrib/enco/frontend/caffe/src/ConcatSpec.cpp     | 24 ++++++++++++++++++
 contrib/enco/frontend/caffe/src/ConcatSpec.h       | 29 ++++++++++++++++++++++
 .../enco/frontend/caffe/src/ConcatSpec.test.cpp    | 26 +++++++++++++++++++
 3 files changed, 79 insertions(+)
 create mode 100644 contrib/enco/frontend/caffe/src/ConcatSpec.cpp
 create mode 100644 contrib/enco/frontend/caffe/src/ConcatSpec.h
 create mode 100644 contrib/enco/frontend/caffe/src/ConcatSpec.test.cpp

diff --git a/contrib/enco/frontend/caffe/src/ConcatSpec.cpp b/contrib/enco/frontend/caffe/src/ConcatSpec.cpp
new file mode 100644
index 0000000..02eeaa4
--- /dev/null
+++ b/contrib/enco/frontend/caffe/src/ConcatSpec.cpp
@@ -0,0 +1,24 @@
+#include "ConcatSpec.h"
+
+#include <cassert>
+
+using namespace nncc::core::ADT::tensor;
+
+nncc::core::ADT::tensor::Shape ConcatSpec::forward(const ShapeList &inputs) const
+{
+  assert(inputs.size() > 0);
+
+  Shape output_shape = inputs.at(0);
+
+  for (uint32_t n = 1; n < inputs.size(); ++n)
+  {
+    // The current implementation assumes that "inputs" is well-formed
+    // TODO Verify whether "inputs" is really well-formed
+    const auto &input_shape = inputs.at(n);
+    output_shape.dim(_axis) += input_shape.dim(_axis);
+  }
+
+  return output_shape;
+}
+
+ConcatSpec concat_spec(uint32_t axis) { return ConcatSpec{axis}; }
diff --git a/contrib/enco/frontend/caffe/src/ConcatSpec.h b/contrib/enco/frontend/caffe/src/ConcatSpec.h
new file mode 100644
index 0000000..0a831d9
--- /dev/null
+++ b/contrib/enco/frontend/caffe/src/ConcatSpec.h
@@ -0,0 +1,29 @@
+#ifndef __CONCAT_SPEC_H__
+#define __CONCAT_SPEC_H__
+
+#include <nncc/core/ADT/tensor/Shape.h>
+
+#include <vector>
+
+using ShapeList = std::vector<nncc::core::ADT::tensor::Shape>;
+
+class ConcatSpec
+{
+public:
+  explicit ConcatSpec(uint32_t axis) : _axis{axis}
+  {
+    // DO NOTHING
+  }
+
+public:
+  // @brief Return the output shape when inputs of given shape are
+  //        concatenated along _axis
+  nncc::core::ADT::tensor::Shape forward(const ShapeList &) const;
+
+private:
+  uint32_t _axis;
+};
+
+ConcatSpec concat_spec(uint32_t axis);
+
+#endif // __CONCAT_SPEC_H__
diff --git a/contrib/enco/frontend/caffe/src/ConcatSpec.test.cpp b/contrib/enco/frontend/caffe/src/ConcatSpec.test.cpp
new file mode 100644
index 0000000..5696990
--- /dev/null
+++ b/contrib/enco/frontend/caffe/src/ConcatSpec.test.cpp
@@ -0,0 +1,26 @@
+#include "ConcatSpec.h"
+
+#include <gtest/gtest.h>
+
+using nncc::core::ADT::tensor::Shape;
+
+namespace
+{
+class ConcatSpecTest : public ::testing::Test
+{
+  // FOR FUTURE USE
+};
+} // namespace
+
+TEST_F(ConcatSpecTest, ifm_shape)
+{
+  const Shape in_1{1, 1, 4, 4};
+  const Shape in_2{1, 2, 4, 4};
+  const Shape in_3{1, 3, 4, 4};
+  const Shape in_4{1, 4, 4, 4};
+
+  auto expected = Shape{1, 10, 4, 4};
+  auto obtained = concat_spec(1).forward({in_1, in_2, in_3, in_4});
+
+  ASSERT_EQ(expected, obtained);
+}
-- 
2.7.4