开发者ID:pytorch,项目名称:fairseq,代码行数:27,代码来源:fused_adam.py 示例2: __init__ ▲点赞 6▼ # 需要导入模块: from apex import optimizers [as 别名]# 或者: from apex.optimizers importFusedAdam[as 别名]def__init__(self, params, lr=1e-3, bias_correction=True, betas=(0.9,0.999),...
❌ 🤖 pytorchbot command failed: pytorchmergebotadded a commit that referenced this pull requestFeb 1, 2024 Revert "fused adam(w): Reduce register usage (#117872)" 4a5a3bc This reverts commitb8e71cf. Revertedon behalf ofdue to This was not intended to be merged ([comment]()) ...
针对您遇到的“error building extension 'fused_adam'”问题,我将按照您提供的tips进行逐一分析和回答: 1. 确认'fused_adam'扩展的安装来源和上下文 fused_adam 可能是某个特定库中的C/C++扩展,用于优化Adam优化器的性能。这类扩展通常是为了提高深度学习框架(如PyTorch)中的计算效率而编写的。因此,首先需要确认这...
ADAM_MODE::ORIGINAL); found_inf_ptr); }); } @@ -83,11 +81,11 @@ void _fused_adam_amsgrad_cuda_impl_( exp_avg_sqs.vec(), max_exp_avg_sqs.vec()}; float* grad_scale_ptr = const float* grad_scale_ptr = grad_scale.has_value() ? grad_scale->data_ptr<float>() : nullptr...
Single Tensor的实现参考了LightSeq中Adam Optimizer的实现,针对FP32和FP16实现了不同的kernel。FP32使用了float4数据类型,每一个thread可以处理4个float数据,这样应该可以使用向量指令提高吞吐量。在FP16里似乎没有特殊技巧,每一个thread仅处理一个数据,在kernel launch时FP16的grid_dim是FP32的四倍。
DS_BUILD_CPU_ADAM=1 BUILD_UTILS=1 pip install deepspeed -U 5. CUDA与Pytorch版本不匹配 问题 RuntimeError: The detected CUDA version (12.1) mismatches the version that was used to compile PyTorch (11.7). Please make sure to use the same CUDA versions. ...
Using /home/axe/.cache/torch_extensions as PyTorch extensions root... Detected CUDA files, patching ldflags Emitting ninja build file /home/axe/.cache/torch_extensions/fused_adam/build.ninja... Building extension module fused_adam... Allowing ninja to set a default number of workers... (...
The experiments detailed below were conducted utilizing four NVIDIA RTX 3090 graphical processing units (GPUs) and the Pytorch platform35. The skin cancer images are then resized to a consistent resolution of 224 pixels on both the width and height dimensions. In addition, a batch size of 16 wa...
(num_tensors)] if adamWflag: fn = adamw.adamw else: fn = adam.adam for fused in [True, False]: t = benchmark.Timer( stmt='profile(fn, params, grads, exp_avgs, exp_avg_sqs, max_exp_avg_sqs, state_steps, amsgrad, fused)', label='Fused Adam', sub_label=f"amsgrad: {amsgrad...
ImportError: ~/.cache/torch_extensions/py38_cu113/fused_adam/fused_adam.so: cannot open shared object file: No such file or directory. I also tried running the same code in the same environment but on a different machine, and this time I get the error message ...