2023-07-13 14:44:21.978453: 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. 2023-07-13 14:44:22.835121: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1510] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 3475 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3060 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6 2023-07-13 14:44:22.954245: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:185] None of the MLIR Optimization Passes are enabled (registered 2)
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tensorflow/core/platform/cpu_feature_guard.cc:140] Your CPU supports instructions that this T
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根据您提供的日志信息,可以看到以下内容:
1. TensorFlow二进制文件已经优化,使用了oneAPI Deep Neural Network Library (oneDNN)来执行性能关键操作,使用了AVX和AVX2指令集。如果想在其他操作中启用它们,请重新使用适当的编译器标志重新构建TensorFlow。
2. 创建了一个GPU设备,名称为"NVIDIA GeForce RTX 3060 Laptop GPU",具有3475 MB的内存,PCI总线ID为0000:01:00.0,计算能力为8.6。
3. MLIR优化传递未启用。
这些信息表明您的系统上已经成功识别并配置了可用的GPU设备,并且TensorFlow已经针对该GPU进行了优化。
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