2022-02-23 14:32:16.058080: I tensorflow/core/platform/cpu_feature_guard.cc:142] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-02-23 14:32:18.937118: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 1336 MB memory: -> device: 0, name: NVIDIA GeForce MX250, pci bus id: 0000:02:00.0, compute capability: 6.1
2022-02-23 14:32:33.728880: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
Could not load library cublasLt64_10.dll. Error code 126
Please make sure cublasLt64_10.dll is in your library path!我是一名学生，我正在尝试使用GPU来学习深度学习。我已经安装了CUDA 11. 6，但由于它给了我一些错误，我下载了11. 5，现在不断有这个错误，加上我无法找到错误代码中指定的文件，请帮助我，我已经浪费了2天的时间来修复它
2条答案
按热度按时间k4emjkb11#
你可以cd到文件夹，找到cudart64_101.dll，复制到c：/window/system路径。还要确保你的python安装不是从windows上安装的。从官方网站下载python安装文件。
并从此处验证版本兼容性：-https://www.tensorflow.org/install/source_windows
您可能还需要验证this issue
kmpatx3s2#
您可以下载此文件并将其复制到“C：\Windows\System32”enter link description here