参考代码(official):PWC-Net 参考代码(pytorch convert):pytorch-pwc 1. 概述 导读:这篇文章给出了一种使用CNN网络实现光流估计的方法,在该方法中采用了经典的特征金字塔结构作为特征提取网络。之后在金字塔的某个层级上使用上一级的光流作为warp引导,第二幅图像的特征将被warp。进而使用第二幅图像warp之后的特征和...
This is a reference implementation of the softmax splatting operator, which has been proposed in Softmax Splatting for Video Frame Interpolation [1], using PyTorch. Softmax splatting is a well-motivated approach for differentiable forward warping. It uses a translational invariant importance metric...
So, theoretical memory write request per warp is 65536*1024/32/4 =524,288 32 threads per warp, 4 FP32 per STG.E.128 It matches the memory write request in ncu reports. However, for memory read, the indices load is compiled to the folllowing triton line. x1 = (xindex // 4096) tm...
Multilayer perceptron using PyTorch import torch.nn as nn import torch.nn.functional as F class MultilayerPerceptron(nn.Module): def __init__(self, input_dim, hidden_dim, output_dim): """ Args: input_dim (int): the size of the input vectors hidden_dim (int): the output size of the...
书接上回,Bruce 仗剑走天涯:sglang 源码学习笔记(一)- Cache、Req与Scheduler 在上一篇文章中,我们介绍了sglang forward前的行为。本次我们详细解析forward 这个核心实现的全流程。 但首先我们回顾一下forward 的传递过程,也就是下面这张图。 从这里,我们可以看到关键的推理过程,batch 是怎么传导进backend的,kvcach...
@@ -101,9 +100,6 @@ __global__ void __launch_bounds__(Ktraits::kNWarps * cutlass::NumThreadsPerWarp, 101 100 if (warp_group_idx == 0) { // Producer 102 101 cutlass::arch::warpgroup_reg_dealloc<Ktraits::kNWarps == 12 ? 24 : 32>(); 103 102 // cutlass::arch::warp...
'device': DeviceProperties(type='cuda', index=0, cc=90, major=9, regs_per_multiprocessor=65536, max_threads_per_multi_processor=2048, multi_processor_count=132, warp_size=32), 'constants': {}, 'configs': [AttrsDescriptor(divisible_by_16=(0, 1, 2, 3, 4, 5), equal_to_1=())]...
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LLM training in simple, raw C/CUDA. Contribute to scotthaleen/llm.c development by creating an account on GitHub.
LLM training in simple, raw C/CUDA. Contribute to zhangchn/llm.c development by creating an account on GitHub.