1bea8e1eac
-Added LocalVector (needed it) -Added stb_rect_pack (It's pretty cool, we could probably use it for other stuff too) -Fixes and changes all around the place -Added library for 128 bits fixed point (required for Delaunay3D)
67 lines
2.4 KiB
C++
67 lines
2.4 KiB
C++
// ======================================================================== //
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// Copyright 2009-2019 Intel Corporation //
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// //
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// Licensed under the Apache License, Version 2.0 (the "License"); //
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// you may not use this file except in compliance with the License. //
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// You may obtain a copy of the License at //
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// //
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// http://www.apache.org/licenses/LICENSE-2.0 //
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// //
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// Unless required by applicable law or agreed to in writing, software //
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// distributed under the License is distributed on an "AS IS" BASIS, //
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. //
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// See the License for the specific language governing permissions and //
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// limitations under the License. //
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// ======================================================================== //
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#pragma once
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#include "platform.h"
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#include <vector>
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#include <map>
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namespace oidn {
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template<typename T>
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using shared_vector = std::shared_ptr<std::vector<T>>;
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// Generic tensor
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struct Tensor
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{
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float* data;
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std::vector<int64_t> dims;
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std::string format;
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shared_vector<char> buffer; // optional, only for reference counting
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__forceinline Tensor() : data(nullptr) {}
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__forceinline Tensor(const std::vector<int64_t>& dims, const std::string& format)
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: dims(dims),
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format(format)
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{
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buffer = std::make_shared<std::vector<char>>(size() * sizeof(float));
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data = (float*)buffer->data();
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}
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__forceinline operator bool() const { return data != nullptr; }
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__forceinline int ndims() const { return (int)dims.size(); }
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// Returns the number of values
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__forceinline size_t size() const
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{
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size_t size = 1;
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for (int i = 0; i < ndims(); ++i)
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size *= dims[i];
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return size;
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}
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__forceinline float& operator [](size_t i) { return data[i]; }
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__forceinline const float& operator [](size_t i) const { return data[i]; }
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};
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// Parses tensors from a buffer
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std::map<std::string, Tensor> parseTensors(void* buffer);
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} // namespace oidn
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