Write a Fused Softmax Kernel in Triton

Write your first GPU kernels in Triton. You'll warm up with a masked vector-add kernel, then build a fused, numerically stable row-wise softmax that reads each row once, keeps it in registers and writes it once. You'll check it against torch.softmax on awkward shapes and extreme logits, then benchmark it with triton.testing.do_bench against torch.softmax and a naive multi-kernel PyTorch version, plotting effective GB/s. Nothing to download.