4 रिपॉजिटरी
Awesome GitHub RepositoriesTensor Cloning
Creating complete independent copies of tensor data in new memory allocations.
Distinct from Tensor Transformations: Explicitly handles full data duplication, distinct from packing or unpacking existing tensors.
Explore 4 awesome GitHub repositories matching data & databases · Tensor Cloning. Refine with filters or upvote what's useful.
Awesome Tensor Cloning GitHub Repositories
AI के साथ बेहतरीन रिपॉजिटरी खोजें।हम AI का उपयोग करके सबसे सटीक रिपॉजिटरी खोजेंगे।
- federico-busato/modern-cpp-programming
federico-busato/Modern-CPP-Programming
15,808GitHub पर देखेंThis project is a comprehensive educational resource and programming course covering C++ language semantics and features from C++03 through C++26. It provides structured tutorials and technical guides focused on modern C++ development. The material offers specialized instruction on template metaprogramming, including the use of type traits and compile-time computations. It features detailed guides on concurrency and parallelism for multi-core execution, as well as a reference for software design applying SOLID principles and RAII. Additionally, it covers build performance optimization to redu
Provides instruction on representing matrices and tensors using non-owning views that map indices to linear memory.
HTMLc-plus-pluscode-qualitycompilers - torch/torch7
torch/torch7
9,127GitHub पर देखेंTorch7 is a scientific computing environment and tensor computation library used for deep learning research and numerical analysis. It functions as a Lua-based framework for training neural networks and learning agents, providing a toolkit for implementing architectures and training through reinforcement learning algorithms. The project is distinguished by its tight integration with C, utilizing a binding layer to map high-level scripting to low-level C structures for direct memory access. It supports hardware-accelerated computation by offloading linear algebra and convolution operations to
Produces a complete copy of a tensor's data in a new memory allocation.
C - pytorch/executorch
pytorch/executorch
4,296GitHub पर देखेंExecuTorch is a lightweight C++ runtime for deploying PyTorch models on mobile, embedded, and edge hardware. It provides an ahead-of-time compilation pipeline that exports, quantizes, and lowers model graphs into compact serialized programs, then executes them through a minimal runtime with hardware acceleration and on-device large language model inference capabilities. The project distinguishes itself through a hardware accelerator delegate system that partitions model subgraphs and offloads computation to specialized backends including NPUs, GPUs, and DSPs from Apple, Arm, Intel, MediaTek,
Provides tensor cloning functionality to create independent copies of tensor data in new memory allocations.
Pythondeep-learningembeddedgpu - answerdotai/gpu.cpp
AnswerDotAI/gpu.cpp
3,981GitHub पर देखेंgpu.cpp is a lightweight C++ library for executing low-level general-purpose GPU computation across different hardware vendors and operating systems. It functions as a portable GPU wrapper, kernel orchestrator, and tensor management system using the WebGPU specification to abstract device initialization, buffer transfers, and compute shader dispatching. The library provides a framework for defining compute kernels from shader code and managing their asynchronous dispatch and synchronization. It enables the execution of cross-platform compute shaders and the orchestration of GPU tasks through
Creates non-owning views of hardware buffers using offsets and shapes to avoid duplicating GPU memory.
C++
