Python &引用；DenseToSparseBatchDataset“；设备“U型：”；中央处理器；对于未知op:DenseToSparseBatchDataset

经过大量的修改，tensorflow从源代码构建并安装到Python3.5中（它似乎不喜欢3.6），现在一个Keras程序在笔记本中运行，而tensorflow没有像以前那样抱怨，有些东西没有按照标准安装。但是，它似乎确实大量使用了CPU：

和GPU：

$ nvidia-smi
Fri Nov 10 18:13:11 2017       
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 375.26                 Driver Version: 375.26                    |
|-------------------------------+----------------------+----------------------+
| GPU  Name        Persistence-M| Bus-Id        Disp.A | Volatile Uncorr. ECC |
| Fan  Temp  Perf  Pwr:Usage/Cap|         Memory-Usage | GPU-Util  Compute M. |
|===============================+======================+======================|
|   0  GeForce GTX 105...  Off  | 0000:01:00.0      On |                  N/A |
|  0%   49C    P0    36W /  72W |   3740MiB /  4030MiB |     28%      Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes:                                                       GPU Memory |
|  GPU       PID  Type  Process name                               Usage      |
|=============================================================================|
|    0      2283    G   /usr/lib/xorg/Xorg                             273MiB |
|    0      3411    G   cinnamon                                       155MiB |
|    0     14388    C   /storageHDD/tensorflow/bin/python3            3307MiB |
+-----------------------------------------------------------------------------+

从jupyter内核输出中的消息来看，它似乎有意识地决定使用CPU而不是GPU：

[I 17:20:45.588 NotebookApp] Adapting to protocol v5.1 for kernel a3c0afcc-e525-48e5-8f54-75a349214f96
2017-11-10 17:20:50.857309: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:900] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero
2017-11-10 17:20:50.857625: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1061] Found device 0 with properties: 
name: GeForce GTX 1050 Ti major: 6 minor: 1 memoryClockRate(GHz): 1.43
pciBusID: 0000:01:00.0
totalMemory: 3.94GiB freeMemory: 3.45GiB
2017-11-10 17:20:50.857643: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1151] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2017-11-10 17:21:43.862726: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DenseToSparseBatchDataset" device_type: "CPU"') for unknown op: DenseToSparseBatchDataset
2017-11-10 17:21:43.862770: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "GroupByWindowDataset" device_type: "CPU"') for unknown op: GroupByWindowDataset
2017-11-10 17:21:43.862783: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "IgnoreErrorsDataset" device_type: "CPU"') for unknown op: IgnoreErrorsDataset
2017-11-10 17:21:43.862803: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DatasetToSingleElement" device_type: "CPU"') for unknown op: DatasetToSingleElement
2017-11-10 17:21:43.862817: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "SerializeIterator" device_type: "CPU"') for unknown op: SerializeIterator
2017-11-10 17:21:43.862836: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DeserializeIterator" device_type: "CPU"') for unknown op: DeserializeIterator
2017-11-10 17:21:43.862845: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "MapAndBatchDataset" device_type: "CPU"') for unknown op: MapAndBatchDataset
2017-11-10 17:21:43.862867: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "ParallelInterleaveDataset" device_type: "CPU"') for unknown op: ParallelInterleaveDataset
2017-11-10 17:21:43.862891: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "ScanDataset" device_type: "CPU"') for unknown op: ScanDataset
2017-11-10 17:21:43.862910: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "SqlDataset" device_type: "CPU"') for unknown op: SqlDataset
2017-11-10 17:21:45.342326: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1151] Creating TensorFlow device (/device:GPU:0) -> (device: 0, name: GeForce GTX 1050 Ti, pci bus id: 0000:01:00.0, compute capability: 6.1)
2017-11-10 17:21:45.621793: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/batchnorm/add_grad/BroadcastGradientArgs-0 is not in the graph.
2017-11-10 17:21:45.621852: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/batchnorm/add_grad/BroadcastGradientArgs-1 is not in the graph.
2017-11-10 17:21:45.622311: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/cond/batchnorm/sub_grad/BroadcastGradientArgs-0 is not in the graph.
2017-11-10 17:21:45.622332: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/cond/batchnorm/sub_grad/BroadcastGradientArgs-1 is not in the graph.
2017-11-10 17:21:45.622394: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/batchnorm/sub_grad/BroadcastGradientArgs-0 is not in the graph.
2017-11-10 17:21:45.622411: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_1/batchnorm/sub_grad/BroadcastGradientArgs-1 is not in the graph.
2017-11-10 17:21:45.622470: W tensorflow/core/grappler/utils.cc:48] Node ConstantFolding/training/Adam/gradients/batch_normalization_2/batchnorm/add_grad/BroadcastGradientArgs-0 is not in the graph.

所有包含

设备类型：“CPU”

的行是什么意思

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有人知道这是否正常，或者这可能是某个地方缺少依赖项的迹象吗？

以下包含警告消息的行是由某个用户意外添加的：

---

这一变化已经发生，警告信息不应再打印。

谢谢@mrry我查看了“这一变化将contrib级别的数据集ops移出核心op库…”我几天前才重新安装了Tensorflow，你是说“unknow op”现在已知并且可能发生在GPU上，或者仍然未知，但只是消息会消失？如果是前者，也许应该再次从源代码处进行整个安装，以从这一更改中获益，尽管构建车轮文件确实需要半个多小时。。

2017-11-10 17:21:43.862726: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DenseToSparseBatchDataset" device_type: "CPU"') for unknown op: DenseToSparseBatchDataset
2017-11-10 17:21:43.862770: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "GroupByWindowDataset" device_type: "CPU"') for unknown op: GroupByWindowDataset
2017-11-10 17:21:43.862783: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "IgnoreErrorsDataset" device_type: "CPU"') for unknown op: IgnoreErrorsDataset
2017-11-10 17:21:43.862803: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DatasetToSingleElement" device_type: "CPU"') for unknown op: DatasetToSingleElement
2017-11-10 17:21:43.862817: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "SerializeIterator" device_type: "CPU"') for unknown op: SerializeIterator
2017-11-10 17:21:43.862836: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "DeserializeIterator" device_type: "CPU"') for unknown op: DeserializeIterator
2017-11-10 17:21:43.862845: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "MapAndBatchDataset" device_type: "CPU"') for unknown op: MapAndBatchDataset
2017-11-10 17:21:43.862867: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "ParallelInterleaveDataset" device_type: "CPU"') for unknown op: ParallelInterleaveDataset
2017-11-10 17:21:43.862891: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "ScanDataset" device_type: "CPU"') for unknown op: ScanDataset
2017-11-10 17:21:43.862910: E tensorflow/core/framework/op_kernel.cc:1142] OpKernel ('op: "SqlDataset" device_type: "CPU"') for unknown op: SqlDataset