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| ➜ ~ python
Python 3.6.9 (default, Nov 7 2019, 10:44:02)
[GCC 8.3.0] on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from tensorflow.python.client import device_lib
>>> print(device_lib.list_local_devices())
2020-04-16 23:56:44.553741: I tensorflow/core/platform/cpu_feature_guard.cc:143] Your CPU supports instructions that this TensorFlow binary was not compiled to use: SSE3 SSE4.1 SSE4.2 AVX AVX2 FMA
2020-04-16 23:56:44.579718: I tensorflow/core/platform/profile_utils/cpu_utils.cc:102] CPU Frequency: 2599990000 Hz
2020-04-16 23:56:44.580244: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x58af6e0 initialized for platform Host (this does not guarantee that XLA will be used). Devices:
2020-04-16 23:56:44.580285: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): Host, Default Version
2020-04-16 23:56:44.582480: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcuda.so.1
2020-04-16 23:56:44.627731: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.628115: I tensorflow/compiler/xla/service/service.cc:168] XLA service 0x591d040 initialized for platform CUDA (this does not guarantee that XLA will be used). Devices:
2020-04-16 23:56:44.628133: I tensorflow/compiler/xla/service/service.cc:176] StreamExecutor device (0): GeForce GTX 980M, Compute Capability 5.2
2020-04-16 23:56:44.628313: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.628568: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1558] Found device 0 with properties:
pciBusID: 0000:01:00.0 name: GeForce GTX 980M computeCapability: 5.2
coreClock: 1.1265GHz coreCount: 12 deviceMemorySize: 3.94GiB deviceMemoryBandwidth: 149.31GiB/s
2020-04-16 23:56:44.628803: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-04-16 23:56:44.630300: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcublas.so.10
2020-04-16 23:56:44.631719: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcufft.so.10
2020-04-16 23:56:44.631994: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcurand.so.10
2020-04-16 23:56:44.633648: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusolver.so.10
2020-04-16 23:56:44.634547: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcusparse.so.10
2020-04-16 23:56:44.637788: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudnn.so.7
2020-04-16 23:56:44.637974: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.638283: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.638528: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1700] Adding visible gpu devices: 0
2020-04-16 23:56:44.638631: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.2
2020-04-16 23:56:44.639308: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1099] Device interconnect StreamExecutor with strength 1 edge matrix:
2020-04-16 23:56:44.639318: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1105] 0
2020-04-16 23:56:44.639342: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1118] 0: N
2020-04-16 23:56:44.639477: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.639759: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:981] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2020-04-16 23:56:44.640041: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1244] Created TensorFlow device (/device:GPU:0 with 165 MB memory) -> physical GPU (device: 0, name: GeForce GTX 980M, pci bus id: 0000:01:00.0, compute capability: 5.2)
[name: "/device:CPU:0"
device_type: "CPU"
memory_limit: 268435456
locality {
}
incarnation: 5137338600707339983
, name: "/device:XLA_CPU:0"
device_type: "XLA_CPU"
memory_limit: 17179869184
locality {
}
incarnation: 3339260717563932836
physical_device_desc: "device: XLA_CPU device"
, name: "/device:XLA_GPU:0"
device_type: "XLA_GPU"
memory_limit: 17179869184
locality {
}
incarnation: 15541604922692464209
physical_device_desc: "device: XLA_GPU device"
, name: "/device:GPU:0"
device_type: "GPU"
memory_limit: 173539328
locality {
bus_id: 1
links {
}
}
incarnation: 5921365879699198963
physical_device_desc: "device: 0, name: GeForce GTX 980M, pci bus id: 0000:01:00.0, compute capability: 5.2"
]
|