From 1204e93956ff4efaec3a6e554bd89bcd5937b99b Mon Sep 17 00:00:00 2001
From: =?utf8?q?=EC=9C=A4=ED=98=84=EC=8B=9D/On-Device=20Lab=28SR=29/Princip?=
 =?utf8?q?al=20Engineer/=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?=
 <hyunsik.yoon@samsung.com>
Date: Thu, 11 Apr 2019 17:02:07 +0900
Subject: [PATCH] [nnkit/TF] adding TensorContext (#3235)

* [nnkit/TF] adding TensorContext for Tensorflow background

This commit adds child class of TensorContext for Tensorflow backend.

Signed-off-by: Hyun Sik Yoon <hyunsik.yoon@samsung.com>

* deleted move & copy construcors
---
 .../tf/include/nnkit/support/tf/TensorContext.h    | 78 ++++++++++++++++++++++
 .../nnkit/libs/support/tf/src/TensorContext.cpp    | 57 ++++++++++++++++
 2 files changed, 135 insertions(+)
 create mode 100644 contrib/nnkit/libs/support/tf/include/nnkit/support/tf/TensorContext.h
 create mode 100644 contrib/nnkit/libs/support/tf/src/TensorContext.cpp

diff --git a/contrib/nnkit/libs/support/tf/include/nnkit/support/tf/TensorContext.h b/contrib/nnkit/libs/support/tf/include/nnkit/support/tf/TensorContext.h
new file mode 100644
index 0000000..d7011b4
--- /dev/null
+++ b/contrib/nnkit/libs/support/tf/include/nnkit/support/tf/TensorContext.h
@@ -0,0 +1,78 @@
+/*
+ * 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 __NNKIT_SUPPORT_TF_TENSOR_CONTEXT_H__
+#define __NNKIT_SUPPORT_TF_TENSOR_CONTEXT_H__
+
+#include "nnkit/TensorContext.h"
+#include "nnkit/support/tf/ParsedTensor.h"
+#include "nnkit/support/tf/TensorDataMap.h"
+
+#include <memory>
+
+namespace nnkit
+{
+namespace support
+{
+namespace tf
+{
+
+class TensorContext final : public nnkit::TensorContext
+{
+public:
+  TensorContext(const std::vector<std::unique_ptr<ParsedTensor>> &tensors, TensorDataMap &data_map)
+      : _tensors(tensors), _data_map(data_map)
+  {
+    // empty
+  }
+
+  TensorContext(const TensorContext &) = delete; // prevent accidental use
+  TensorContext(TensorContext &&) = delete;
+
+public:
+  uint32_t size(void) const override { return _tensors.size(); }
+
+public:
+  std::string name(uint32_t n) const override // name with ":0", ":1", etc
+  {
+    return _tensors.at(n)->name();
+  }
+
+public:
+  nncc::core::ADT::tensor::Shape shape(uint32_t n) const override
+  {
+    return _tensors.at(n)->shape();
+  }
+
+public:
+  // Float (fp32) tensor support
+  bool isFloatTensor(uint32_t n) const override { return _tensors.at(n)->isFloatTensor(); }
+
+  void getMutableFloatTensor(uint32_t n,
+                             const nnkit::TensorContext::TypedAccessor<float> &f) override;
+  void getConstFloatTensor(uint32_t n,
+                           const nnkit::TensorContext::TypedReader<float> &f) const override;
+
+private:
+  const std::vector<std::unique_ptr<ParsedTensor>> &_tensors;
+  TensorDataMap &_data_map;
+};
+
+} // namespace tf
+} // namespace support
+} // namespace nnkit
+
+#endif // __NNKIT_SUPPORT_TF_TENSOR_CONTEXT_H__
diff --git a/contrib/nnkit/libs/support/tf/src/TensorContext.cpp b/contrib/nnkit/libs/support/tf/src/TensorContext.cpp
new file mode 100644
index 0000000..e5098fe
--- /dev/null
+++ b/contrib/nnkit/libs/support/tf/src/TensorContext.cpp
@@ -0,0 +1,57 @@
+/*
+ * 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 "nnkit/support/tf/TensorContext.h"
+
+#include <nncc/core/ADT/tensor/LexicalLayout.h>
+#include <nncc/core/ADT/tensor/Overlay.h>
+
+namespace nnkit
+{
+namespace support
+{
+namespace tf
+{
+
+void TensorContext::getMutableFloatTensor(uint32_t n,
+                                          const nnkit::TensorContext::TypedAccessor<float> &f)
+{ // for input
+  using nncc::core::ADT::tensor::LexicalLayout;
+  using nncc::core::ADT::tensor::make_overlay;
+
+  const ParsedTensor *parsed_tensor = _tensors.at(n).get();
+  float *data = reinterpret_cast<float *>(_data_map.data(parsed_tensor));
+  auto overlay = make_overlay<float, LexicalLayout>(shape(n), data);
+
+  f(*this, n, overlay);
+}
+
+void TensorContext::getConstFloatTensor(uint32_t n,
+                                        const nnkit::TensorContext::TypedReader<float> &f) const
+{ // for output
+  using nncc::core::ADT::tensor::LexicalLayout;
+  using nncc::core::ADT::tensor::make_overlay;
+
+  const ParsedTensor *parsed_tensor = _tensors.at(n).get();
+  float *data = reinterpret_cast<float *>(_data_map.data(parsed_tensor));
+  auto overlay = make_overlay<float, LexicalLayout>(shape(n), data);
+
+  f(*this, n, overlay);
+}
+
+} // namespace tf
+} // namespace support
+} // namespace nnkit
-- 
2.7.4