1 files changed, 66 insertions, 0 deletions
diff --git a/thirdparty/oidn/common/tensor.h b/thirdparty/oidn/common/tensor.h
new file mode 100644
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+++ b/thirdparty/oidn/common/tensor.h
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+// ======================================================================== //
+// Copyright 2009-2019 Intel Corporation                                    //
+//                                                                          //
+// 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.                                           //
+// ======================================================================== //
+
+#pragma once
+
+#include "platform.h"
+#include <vector>
+#include <map>
+
+namespace oidn {
+
+  template<typename T>
+  using shared_vector = std::shared_ptr<std::vector<T>>;
+
+  // Generic tensor
+  struct Tensor
+  {
+    float* data;
+    std::vector<int64_t> dims;
+    std::string format;
+    shared_vector<char> buffer; // optional, only for reference counting
+
+    __forceinline Tensor() : data(nullptr) {}
+
+    __forceinline Tensor(const std::vector<int64_t>& dims, const std::string& format)
+      : dims(dims),
+        format(format)
+    {
+      buffer = std::make_shared<std::vector<char>>(size() * sizeof(float));
+      data = (float*)buffer->data();
+    }
+
+    __forceinline operator bool() const { return data != nullptr; }
+
+    __forceinline int ndims() const { return (int)dims.size(); }
+
+    // Returns the number of values
+    __forceinline size_t size() const
+    {
+      size_t size = 1;
+      for (int i = 0; i < ndims(); ++i)
+        size *= dims[i];
+      return size;
+    }
+
+    __forceinline float& operator [](size_t i) { return data[i]; }
+    __forceinline const float& operator [](size_t i) const { return data[i]; }
+  };
+
+  // Parses tensors from a buffer
+  std::map<std::string, Tensor> parseTensors(void* buffer);
+
+} // namespace oidn