关于#TensorFlow-GPU#的问题，运行结果中的提示信息如何解读？

Question

我最近在学习TensorFlow的机器学习框架，刚刚安装好了TensorFlow。试运行了一段代码，结果显示如下。请问这是成功调用GPU的意思么？类似于Successfully opened dynamic library ....这些提示需不需要管？求指导！
2022-02-25 14:43:19.909469: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2022-02-25 14:43:22.330480: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-02-25 14:43:22.331433: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll
2022-02-25 14:43:23.195891: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 Ti computeCapability: 6.1
coreClock: 1.62GHz coreCount: 6 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2022-02-25 14:43:23.196188: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2022-02-25 14:43:23.203701: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2022-02-25 14:43:23.203858: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2022-02-25 14:43:23.208292: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2022-02-25 14:43:23.210200: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2022-02-25 14:43:23.218564: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2022-02-25 14:43:23.221830: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2022-02-25 14:43:23.223117: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2022-02-25 14:43:23.223331: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
2022-02-25 14:43:23.223685: 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: AVX2
To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.
2022-02-25 14:43:23.224366: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 1050 Ti computeCapability: 6.1
coreClock: 1.62GHz coreCount: 6 deviceMemorySize: 4.00GiB deviceMemoryBandwidth: 104.43GiB/s
2022-02-25 14:43:23.224761: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll
2022-02-25 14:43:23.225290: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll
2022-02-25 14:43:23.225561: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll
2022-02-25 14:43:23.225767: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll
2022-02-25 14:43:23.225964: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll
2022-02-25 14:43:23.226161: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusolver64_10.dll
2022-02-25 14:43:23.226364: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll
2022-02-25 14:43:23.226565: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll
2022-02-25 14:43:23.226818: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1862] Adding visible gpu devices: 0
图张量c1：Tensor("c1:0", shape=(2, 3), dtype=int32)
图张量c1类型：<class 'tensorflow.python.framework.ops.Tensor'>
图张量c1维度：(2, 3)
图矩阵计算结果：[[40 51]
[58 78]]
图计算结果维度：(2, 2)
Num GPUs Available: 1
2022-02-25 14:43:23.724802: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix:
2022-02-25 14:43:23.725060: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267] 0
2022-02-25 14:43:23.725158: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1280] 0: N
2022-02-25 14:43:23.725451: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1406] Created TensorFlow device (/job:localhost/replica:0/task:0/device:GPU:0 with 2982 MB memory) -> physical GPU (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2022-02-25 14:43:23.726521: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set
2022-02-25 14:43:23.727692: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)

Answer 1

一般只要不是E或者error报错，可以都不管，是tf输出的一些日志信息