Tengfei Lu

Results 5 issues of Tengfei Lu

Hi, I successfully generate and build the cpp cold, and the output like follows: ``` implicit gemm example selected conv algo Turing_f16f16f16f16f16tnt_m32n64k32m32n32k16A0T1688_200_C301LLL_SK selected conv algo Turing_f16f16f16f16f16tnt_m32n64k32m32n32k16A0T1688_200_C301LLL_SK ``` But I'm wondering...

问题和标题一样, 定位到是Cuda:0 下运行到Conv2d会报段错误,直接退出程序。 ``` cupy 13.2.0 numpy 1.22.0 spikingjelly 0.0.0.0.14 torch 2.3.1+cu118 torchaudio 2.3.1+cu118 torchvision 0.18.1+cu118 ``` 显卡是3060 laptop 请问是什么问题?如何解决?

在本地运行文档[降低内存占用]( https://spikingjelly.readthedocs.io/zh-cn/latest/activation_based/monitor.html#id5) 如下代码时: ``` import torch def tensor_memory(x: torch.Tensor): return x.element_size() * x.numel() N = 1 11 spike_b, s_dtype, s_shape, s_padding = tensor_cache.float_spike_to_bool(spike) 13 arr = spike_b.numpy() 15 compressed_arr =...

### Is there an existing issue for this? - [X] I have searched the existing issues ### Current Behavior As described in title: Will torchsparse++ support conv2d? ### Expected Behavior...