1 files changed, 144 insertions, 0 deletions
diff --git a/compiler/nnc/backends/soft_backend/SequencedIR.h b/compiler/nnc/backends/soft_backend/SequencedIR.h
new file mode 100644
index 000000000..9a761243e
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+++ b/compiler/nnc/backends/soft_backend/SequencedIR.h
@@ -0,0 +1,144 @@
+/*
+ * 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.
+ */
+
+#ifndef _NNC_SOFT_BACKEND_SEQUENCED_IR_H_
+#define _NNC_SOFT_BACKEND_SEQUENCED_IR_H_
+
+#include "mir/Shape.h"
+#include "mir/Operation.h"
+
+#include <string>
+#include <vector>
+#include <cstdint>
+#include <limits>
+#include <list>
+
+namespace nnc
+{
+
+namespace sir
+{
+
+const size_t INVALID_TENSOR_ID = std::numeric_limits<size_t>::max();
+
+/**
+ * @brief Represents variable used in artifact.
+ * This variable can store inputs, outputs of network and temporary data.
+ */
+struct TensorDescriptor
+{
+  /**
+   * input      tensors of this type supposed to be set outside of artifact
+   * persistent tensors store data after inference process is over, this include NN outputs
+   * temporary  tensors are not accessible outside artifact in any way,
+   *            they are created and destructed on demand
+   */
+  enum class Type
+  {
+    input,
+    persistent,
+    temporary
+  };
+
+  size_t id;
+  Type type;
+  std::string name;
+  // if _shape.rank() == 0 - assume shape is not known for this tensor on compilation
+  mir::Shape shape;
+};
+
+/**
+ * @brief Action represents operation in inference sequence that is needed to
+ */
+struct Action
+{
+
+  /**
+   * Defines which type of action to perform
+   * createTmp responsible for creation of temporary tensor in inference sequence
+   * destroyTmp responsible for deletion of temporary tensor
+   * transpose
+   */
+  enum class Type
+  {
+    createTmp,
+    destroyTmp,
+    callFunction,
+    transposeTensor
+  };
+
+  explicit Action(Type t) : type(t) {}
+
+  virtual ~Action() = default;
+
+  Type type;
+};
+
+struct TransposeTensor : public Action
+{
+
+  TransposeTensor(size_t input, size_t output, std::vector<int32_t> &&perm)
+      : Action(Type::transposeTensor), perm(std::move(perm)), input(input), output(output)
+  {
+  }
+
+  std::vector<int32_t> perm;
+  size_t input;
+  size_t output;
+};
+
+struct CreateTmp : public Action
+{
+
+  explicit CreateTmp(size_t tid) : Action(Type::createTmp), tensorId(tid) {}
+
+  size_t tensorId;
+};
+
+struct DestroyTmp : public Action
+{
+
+  explicit DestroyTmp(size_t tid) : Action(Type::destroyTmp), tensorId(tid) {}
+
+  size_t tensorId;
+};
+
+struct CallFunction : public Action
+{
+
+  CallFunction(mir::Operation *op, std::string func_name, std::vector<size_t> &&inputs,
+               std::vector<size_t> &&outputs)
+      : Action(Type::callFunction), mirOp(op), funcName(std::move(func_name)), inputs(inputs),
+        outputs(outputs), paramStartOffset(0)
+  {
+  }
+
+  CallFunction() : Action(Type::callFunction), mirOp(nullptr), paramStartOffset(0) {}
+
+  mir::Operation *mirOp;
+  std::string funcName;
+  // list of input tensors
+  std::vector<size_t> inputs;
+  // list of output tensors
+  std::vector<size_t> outputs;
+  size_t paramStartOffset;
+};
+
+} // namespace sir
+
+} // namespace nnc
+
+#endif // _NNC_SOFT_BACKEND_SEQUENCED_IR_H_