我运行以下命令检查是否支持GPU。
tf.Session(config = tf.ConfigProto(log_device_placement = True))
我得到以下信息：
2019-04-20 16:19:28.087949: I tensorflow/core/platform/cpu_feature_guard.cc:137] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE4.1 SSE4.2 AVX
2019-04-20 16:19:28.147075: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] Found device 0 with properties:
name: Quadro K600 major: 3 minor: 0 memoryClockRate(GHz): 0.8755
pciBusID: 0000:04:00.0
totalMemory: 973.31MiB freeMemory: 163.19MiB
2019-04-20 16:19:28.147137: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1168] Ignoring visible gpu device (device: 0, name: Quadro K600, pci bus id: 0000:04:00.0, compute capability: 3.0) with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.
Device mapping: no known devices.
2019-04-20 16:19:28.149702: I tensorflow/core/common_runtime/direct_session.cc:297] Device mapping:
这是否意味着没有简单的方法可以使用“ Quadro K600 / PCIe / SSE2”图形卡？在这种情况下，是否仍需要安装比cpu版本更高的tensorflow-gpu？