针对您遇到的 RuntimeError: apex.optimizers.fusedadam requires cuda extensions 错误,这通常是由于Apex库中的FusedAdam优化器需要CUDA扩展但系统中未正确配置或不支持所导致的。以下是针对您问题的一些解决步骤和注意事项: 1. 确认CUDA已安装并与Apex兼容 首先,确保您的系统中已安装CUDA,并且CUDA版本与Apex库兼容。
CUDA=12.2 torch=2.1.2+cu118 torchvision=0.16.2 deepspeed=0.12.4 在执行 sft 脚本时候,deepspeed 需要自动执行编译步骤:总共分为三步,我是在第三步的时候遇到了这个问题: c++ fused_adam_frontend.o multi_tensor_adam.cuda.o -shared -L/GlobalData/surui.su/env/envs/swift/lib/python3.10/site-packages...
I had successfully installed Apex in a certain environment before, but when I switched to a different environment and tried to reinstall Apex, it appeared to install successfully, but when running the code, it always gave the error "RuntimeError: apex.optimizers.FusedAdam requires cuda extensions...
Disabled bypytorch-bot[bot] Within ~15 minutes,test_graph_grad_scaling_foreach_False_fused_True_Adam_cuda_float32 (__main__.TestCudaOptimsCUDA)will be disabled in PyTorch CI for these platforms: linux. Please verify that your test name looks correct, e.g.,test_cuda_assert_async (__main...
Building extension module fused_adam... Allowing ninja to set a default number of workers... (overridable by setting the environment variable MAX_JOBS=N) [1/3] /usr/local/cuda_10_1_7_6/bin/nvcc -DTORCH_EXTENSION_NAME=fused_adam -DTORCH_API_INCLUDE_EXTENSION_H -DPYBIND11_COMPILER_T...
Error building extension ‘fused_adam‘ 降级为gcc 10 并替换为系统默认版本 python 原创 繁星意未平 10月前 368阅读 【Triton 教程】融合 Softmax (FusedSoftmax) Triton 学习 Triton PyTorch 人工智能 深度学习 强化学习 原创 HyperAI超神经 5月前
其实我本来没有注意到在对模型参数的访问上还有区别,直到看到apex的实现才反应过来,因此multi tensor access是参照Apex的Adam Optimizer实现的。与FP32 single tensor相似的是,apex也使一个thread一次处理4个元素,但是他们使用了一个长度为4的数组,然后通过循环的形式进行表达,再加入#pragma unroll制导编译器对循环进行...
(v5.1.1 bug fix) with CUDA® 11.8 running on 2x AMD EPYC 7742 64-Core Processor server with 4x Nvidia A100-PCIe-40GB (250W) GPUand TensorRT v8.5.0.12 and FasterTransformer (v5.1.1 bug fix) with CUDA® 11.8 running on 2xAMD EPYC 7742 64-Core Processor server with 8x NVIDIA ...
Test name: test_graph_grad_scaling_foreach_True_fused_False_Adam_cuda_float32 (__main__.TestCudaOptimsCUDA) Platforms for which to skip the test: linux Disabled by pytorch-bot[bot] Within ~15 minutes, test_graph_grad_scaling_foreach_True_fused_False_Adam_cuda_float32 (__main__.TestCu...
The Issue Applying FusedAdam on large tensors will cause an error CUDA error: an illegal memory access was encountered. #3429 NVIDIA/apex#1654 PR Content Following the solution in the apex reposito...