fused_layer_norm_cuda 通常不是一个标准的Python库或模块,它更可能是某个深度学习框架(如PyTorch)的扩展模块,特别是针对特定硬件(如CUDA加速的GPU)的优化实现。这个模块可能是由第三方开发或作为某个项目的一部分提供的。 2. 检查是否已安装相关依赖库 由于这个模块可能与PyTorch和CUDA紧密相关,您需要确保已经安装了...
import torch torch.version.cuda 如上图所示,我分配到的是11.1的cuda版本和11.3的torch版本,由于11.3的torch版本可能过高,因此我们需要将torch版本降低一下,具体可上网搜cuda对应的torch版本。 查到与cuda对应的torch版本后,到以下pytorch官网中查找对应torch在Linux下的安装指令 PyTorchpytorch.org/get-started/previ...
import_module("fused_layer_norm_cuda") self.normalized_shape = normalized_shape self.eps = eps def forward(self, input, weight, bias): input_ = input.contiguous() weight_ = weight.contiguous() bias_ = bias.contiguous() output, mean, invvar = fused_layer_norm_cuda.forwar...
Projects Security Insights Additional navigation options New issue Closed Description alvin-leong openedonFeb 20, 2019 I am using apex on Google Colab. It managed to install with cuda and cpp. However, I am encountering this problem when calling fused_layer_norm_cuda: "No module named 'fused_l...
入门cudaopenai笔记函数 接着【BBuf的CUDA笔记】十三,OpenAI Triton 入门笔记一 继续探索和学习OpenAI Triton。这篇文章来探索使用Triton写LayerNorm/RMSNorm kernel的细节。 BBuf 2024/02/22 8110 【BBuf的CUDA笔记】十三,OpenAI Triton 入门笔记一 程序入门cudaopenai笔记 2023年很多mlsys工作都是基于Triton来完成或者...
2020-11-02 12:59:59.612283: W tf_adapter/util/infershape_util.cc:364] The shape of node model/resnet_layer/resnet_v1_50/block1/unit_1/bottleneck_v1/conv3/BatchNorm/FusedBatchNormV3 output 5 is ?, unknown shape. 2020-11-02 12:59:59.612392: W tf_adapter/util/infershape_util.cc:...
(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 A...
在下文中一共展示了fused_batch_norm函数的10个代码示例,这些例子默认根据受欢迎程度排序。您可以为喜欢或者感觉有用的代码点赞,您的评价将有助于系统推荐出更棒的Python代码示例。 示例1: testSplitWithNonConstAxis ▲点赞 6▼ deftestSplitWithNonConstAxis(self):iftest.is_gpu_available(cuda_only=True): ...
return norm_size * sizeof(typename LayerNormUtil<T>::ComputeType); }int GetLayerNormForwardBlockSize() { return kLayerNormForwardGpuBlockSize; }int GetLayerNormForwardNumBlocks(const int num_instances) { return std::min(static_cast<int>(num_instances), kCudaMaxBlocksNum); ...
2 changes: 1 addition & 1 deletion 2 megatron/fused_kernels/layer_norm_cuda_kernel.cu Original file line numberDiff line numberDiff line change @@ -317,7 +317,7 @@ void cuApplyLayerNorm( if (gamma != NULL && beta != NULL) { for (int i = thrx; i < n2; i+=numx) ...