neuron-explorer
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翻译准备中
QR, symmetric eigendecomposition and SVD for batches of matrices on Apple Silicon GPUs, for MLX and PyTorch. Metal kernels per regime, routed to the GPU or the CPU by policies measured per Mac. C++, Python (pip: metal-linalg, metal-linalg-torch), Swift and C.
翻译准备中
取自仓库 README
正在加载完整 README。 以下为已保存的摘录。
QR decomposition, symmetric eigendecomposition (eigh) and singular value
decomposition (SVD) for batches of matrices on Apple Silicon GPUs, for
MLX, PyTorch and
plain float buffers. A C++ library, installed with Homebrew or built from
source inside your own project, with Python packages for mlx.core arrays
and for torch tensors, a C API, and a Swift package (on [Float], and on
mlx-swift's MLXArray).查看完整 README ↗目前无法加载完整 README。请通过原文链接阅读。 以下为已保存的摘录。
QR decomposition, symmetric eigendecomposition (eigh) and singular value
decomposition (SVD) for batches of matrices on Apple Silicon GPUs, for
MLX, PyTorch and
plain float buffers. A C++ library, installed with Homebrew or built from
source inside your own project, with Python packages for mlx.core arrays
and for torch tensors, a C API, and a Swift package (on [Float], and on
mlx-swift's MLXArray).查看完整 README ↗