torch-tensor-parallelism
This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.
Installation and usage
This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers. Use when implementing distributed neural network layers that split weights/activations across multiple ranks, working with torch.distributed for model parallelism, or implementing ColumnParallelLinear and RowParallelLinear classes.
Depois de instalar, você pode usar esta skill executando o seguinte comando no terminal:
skills use torch-tensor-parallelism