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Liang-yc / ssq

该项目用于预测双色球。（This project is dedicated to forecasting the result of welfare lottery named Union Lotto in China.）
MIT License
273 stars 87 forks source link

麻烦大佬帮我看看日志, 我训练的时候是否启用了GPU在跑?? #25

Open anzhe1989 opened 3 years ago

anzhe1989 commented 3 years ago

F:\GitHub\ssq\venv\Scripts\python.exe "D:\Program Files\JetBrains\PyCharm 2020.1\plugins\python\helpers\pydev\pydevconsole.py" --mode=client --port=2435 import sys; print('Python %s on %s' % (sys.version, sys.platform)) sys.path.extend(['F:\GitHub\ssq', 'F:/GitHub/ssq']) PyDev console: starting. Python 3.7.7 (tags/v3.7.7:d7c567b08f, Mar 10 2020, 10:41:24) [MSC v.1900 64 bit (AMD64)] on win32

runfile('F:/GitHub/ssq/ssq4all_v4.py', wdir='F:/GitHub/ssq') 2021-05-15 15:22:44.122567: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll WARNING:tensorflow:From F:\GitHub\ssq\poems\resnet.py:69: calling Constant.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor W0515 15:22:48.327268 3008 deprecation.py:537] From F:\GitHub\ssq\poems\resnet.py:69: calling Constant.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor 2021-05-15 15:22:48.348672: I tensorflow/compiler/jit/xla_cpu_device.cc:41] Not creating XLA devices, tf_xla_enable_xla_devices not set 2021-05-15 15:22:48.357103: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library nvcuda.dll 2021-05-15 15:22:48.432472: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1720] Found device 0 with properties: pciBusID: 0000:04:00.0 name: GeForce GTX 760 computeCapability: 3.0 coreClock: 1.0975GHz coreCount: 6 deviceMemorySize: 2.00GiB deviceMemoryBandwidth: 179.05GiB/s 2021-05-15 15:22:48.432961: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudart64_110.dll 2021-05-15 15:22:48.525946: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublas64_11.dll 2021-05-15 15:22:48.526119: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cublasLt64_11.dll 2021-05-15 15:22:48.568220: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cufft64_10.dll 2021-05-15 15:22:48.579939: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library curand64_10.dll 2021-05-15 15:22:48.584193: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found 2021-05-15 15:22:48.611621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-05-15 15:22:48.617375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 2021-05-15 15:22:48.617576: W tensorflow/core/common_runtime/gpu/gpu_device.cc:1757] Cannot dlopen some GPU libraries. Please make sure the missing libraries mentioned above are installed properly if you would like to use GPU. Follow the guide at https://www.tensorflow.org/install/gpu for how to download and setup the required libraries for your platform. Skipping registering GPU devices... F:\GitHub\ssq\venv\lib\site-packages\tensorflow\python\keras\layers\legacy_rnn\rnn_cell_impl.py:702: UserWarning: tf.nn.rnn_cell.BasicLSTMCell is deprecated and will be removed in a future version. This class is equivalent as tf.keras.layers.LSTMCell, and will be replaced by that in Tensorflow 2.0. warnings.warn("tf.nn.rnn_cell.BasicLSTMCell is deprecated and will be " WARNING:tensorflow:tf.nn.rnn_cell.MultiRNNCell is deprecated. This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0. W0515 15:22:48.860270 3008 rnn_cell_impl.py:1242] tf.nn.rnn_cell.MultiRNNCell is deprecated. This class is equivalent as tf.keras.layers.StackedRNNCells, and will be replaced by that in Tensorflow 2.0. WARNING:tensorflow:At least two cells provided to MultiRNNCell are the same object and will share weights. W0515 15:22:48.860270 3008 rnn_cell_impl.py:1254] At least two cells provided to MultiRNNCell are the same object and will share weights. WARNING:tensorflow:From F:\GitHub\ssq\poems\model.py:93: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.RNN(cell), which is equivalent to this API W0515 15:22:48.942326 3008 deprecation.py:339] From F:\GitHub\ssq\poems\model.py:93: dynamic_rnn (from tensorflow.python.ops.rnn) is deprecated and will be removed in a future version. Instructions for updating: Please use keras.layers.RNN(cell), which is equivalent to this API F:\GitHub\ssq\venv\lib\site-packages\tensorflow\python\keras\engine\base_layer_v1.py:1727: UserWarning: layer.add_variable is deprecated and will be removed in a future version. Please use layer.add_weight method instead. warnings.warn('layer.add_variable is deprecated and ' WARNING:tensorflow:From F:\GitHub\ssq\venv\lib\site-packages\tensorflow\python\keras\layers\legacy_rnn\rnn_cell_impl.py:753: calling Zeros.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor W0515 15:22:48.992315 3008 deprecation.py:537] From F:\GitHub\ssq\venv\lib\site-packages\tensorflow\python\keras\layers\legacy_rnn\rnn_cell_impl.py:753: calling Zeros.init (from tensorflow.python.ops.init_ops) with dtype is deprecated and will be removed in a future version. Instructions for updating: Call initializer instance with the dtype argument instead of passing it to the constructor 2021-05-15 15:22:50.472322: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1261] Device interconnect StreamExecutor with strength 1 edge matrix: 2021-05-15 15:22:50.472797: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1267]
2021-05-15 15:22:50.473007: I tensorflow/compiler/jit/xla_gpu_device.cc:99] Not creating XLA devices, tf_xla_enable_xla_devices not set 2021-05-15 15:22:50.508668: I tensorflow/compiler/mlir/mlir_graph_optimization_pass.cc:196] None of the MLIR optimization passes are enabled (registered 0 passes)

start training...

till 100000

anzhe1989 commented 3 years ago

我的cpu使用为什么还是这么高??? image

Liang-yc commented 3 years ago

2021-05-15 15:22:48.584193: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found 2021-05-15 15:22:48.611621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-05-15 15:22:48.617375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 你是在用CPU跑，你cuda和cudnn可能没装好，与tensorflow版本不匹配。

anzhe1989 commented 3 years ago

2021-05-15 15:22:48.584193: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found 2021-05-15 15:22:48.611621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-05-15 15:22:48.617375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 你是在用CPU跑，你cuda和cudnn可能没装好，与tensorflow版本不匹配。

谢谢大佬, 版本已经安装正确.但是还是没有使用到GPU.. 现在说的是gpu需要一个最低的3.5的计算能力,而我的GPU计算能力才3.0.
这种情况下,有没有办法修改tensorflow的配置,???把最低的计算能力修改为3.0?? 下面是gpu的计算能力提示信息 Ignoring gpu device with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.

Liang-yc commented 3 years ago

2021-05-15 15:22:48.584193: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'cusolver64_10.dll'; dlerror: cusolver64_10.dll not found 2021-05-15 15:22:48.611621: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cusparse64_11.dll 2021-05-15 15:22:48.617375: I tensorflow/stream_executor/platform/default/dso_loader.cc:49] Successfully opened dynamic library cudnn64_8.dll 你是在用CPU跑，你cuda和cudnn可能没装好，与tensorflow版本不匹配。

谢谢大佬, 版本已经安装正确.但是还是没有使用到GPU.. 现在说的是gpu需要一个最低的3.5的计算能力,而我的GPU计算能力才3.0. 这种情况下,有没有办法修改tensorflow的配置,???把最低的计算能力修改为3.0?? 下面是gpu的计算能力提示信息 Ignoring gpu device with Cuda compute capability 3.0. The minimum required Cuda capability is 3.5.

安装的问题不要问我，你看下这个链接。嫌麻烦就换显卡或者租GPU服务器训练。