无法从CMD发布TensorBoard

时间：2017-09-08 14:36:40

标签： python tensorflow cmd tensorboard

我设法让TensorFlow（GPU）在Python 3.5.2中运行，但是当我尝试从命令提示符启动tensorboard时，我收到此错误：

C:\Users\Alex>tensorboard --logdir /tmp/data
Traceback (most recent call last):
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 18, in swig_import_helper
    fp, pathname, description = imp.find_module('_pywrap_tensorflow', [dirname(__file__)])
  File "c:\python35\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named '_pywrap_tensorflow'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "c:\python35\lib\site-packages\tensorflow\python\__init__.py", line 54, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 20, in swig_import_helper
    import _pywrap_tensorflow
ImportError: No module named '_pywrap_tensorflow'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "c:\python35\lib\runpy.py", line 184, in _run_module_as_main
    "__main__", mod_spec)
  File "c:\python35\lib\runpy.py", line 85, in _run_code
    exec(code, run_globals)
  File "C:\Python35\Scripts\tensorboard.exe\__main__.py", line 5, in <module>
  File "c:\python35\lib\site-packages\tensorflow\__init__.py", line 24, in <module>
    from tensorflow.python import *
  File "c:\python35\lib\site-packages\tensorflow\python\__init__.py", line 60, in <module>
    raise ImportError(msg)
ImportError: Traceback (most recent call last):
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 18, in swig_import_helper
    fp, pathname, description = imp.find_module('_pywrap_tensorflow', [dirname(__file__)])
  File "c:\python35\lib\imp.py", line 296, in find_module
    raise ImportError(_ERR_MSG.format(name), name=name)
ImportError: No module named '_pywrap_tensorflow'

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
  File "c:\python35\lib\site-packages\tensorflow\python\__init__.py", line 54, in <module>
    from tensorflow.python import pywrap_tensorflow
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 28, in <module>
    _pywrap_tensorflow = swig_import_helper()
  File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 20, in swig_import_helper
    import _pywrap_tensorflow
ImportError: No module named '_pywrap_tensorflow'


Error importing tensorflow.  Unless you are using bazel,
you should not try to import tensorflow from its source directory;
please exit the tensorflow source tree, and relaunch your python interpreter
from there.

有没有办法直接从Python启动张量板，还是应该尝试修复CMD中的张量板？提前谢谢。

编辑：

我运行了以下脚本，确定TensorFlow已正确安装：

# Copyright 2015 The TensorFlow Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
# ==============================================================================
"""A script for testing that TensorFlow is installed correctly on Windows.
The script will attempt to verify your TensorFlow installation, and print
suggestions for how to fix your installation.
"""

import ctypes
import imp
import sys


def main():
    try:
        import tensorflow as tf
        print("TensorFlow successfully installed.")
        if tf.test.is_built_with_cuda():
            print("The installed version of TensorFlow includes GPU support.")
        else:
            print("The installed version of TensorFlow does not include GPU support.")
        sys.exit(0)
    except ImportError:
        print("ERROR: Failed to import the TensorFlow module.")

    candidate_explanation = False

    python_version = sys.version_info.major, sys.version_info.minor
    print("\n- Python version is %d.%d." % python_version)
    if not (python_version == (3, 5) or python_version == (3, 6)):
        candidate_explanation = True
        print("- The official distribution of TensorFlow for Windows requires "
              "Python version 3.5 or 3.6.")

    try:
        _, pathname, _ = imp.find_module("tensorflow")
        print("\n- TensorFlow is installed at: %s" % pathname)
    except ImportError:
        candidate_explanation = False
        print("""
- No module named TensorFlow is installed in this Python environment. You may
  install it using the command `pip install tensorflow`.""")

    try:
        msvcp140 = ctypes.WinDLL("msvcp140.dll")
    except OSError:
        candidate_explanation = True
        print("""
- Could not load 'msvcp140.dll'. TensorFlow requires that this DLL be
  installed in a directory that is named in your %PATH% environment
  variable. You may install this DLL by downloading Microsoft Visual
  C++ 2015 Redistributable Update 3 from this URL:
  https://www.microsoft.com/en-us/download/details.aspx?id=53587""")

    try:
        cudart64_80 = ctypes.WinDLL("cudart64_80.dll")
    except OSError:
        candidate_explanation = True
        print("""
- Could not load 'cudart64_80.dll'. The GPU version of TensorFlow
  requires that this DLL be installed in a directory that is named in
  your %PATH% environment variable. Download and install CUDA 8.0 from
  this URL: https://developer.nvidia.com/cuda-toolkit""")

    try:
        nvcuda = ctypes.WinDLL("nvcuda.dll")
    except OSError:
        candidate_explanation = True
        print("""
- Could not load 'nvcuda.dll'. The GPU version of TensorFlow requires that
  this DLL be installed in a directory that is named in your %PATH%
  environment variable. Typically it is installed in 'C:\Windows\System32'.
  If it is not present, ensure that you have a CUDA-capable GPU with the
  correct driver installed.""")

    cudnn5_found = False
    try:
        cudnn5 = ctypes.WinDLL("cudnn64_5.dll")
        cudnn5_found = True
    except OSError:
        candidate_explanation = True
        print("""
- Could not load 'cudnn64_5.dll'. The GPU version of TensorFlow
  requires that this DLL be installed in a directory that is named in
  your %PATH% environment variable. Note that installing cuDNN is a
  separate step from installing CUDA, and it is often found in a
  different directory from the CUDA DLLs. You may install the
  necessary DLL by downloading cuDNN 5.1 from this URL:
  https://developer.nvidia.com/cudnn""")

    cudnn6_found = False
    try:
        cudnn = ctypes.WinDLL("cudnn64_6.dll")
        cudnn6_found = True
    except OSError:
        candidate_explanation = True

    if not cudnn5_found or not cudnn6_found:
        print()
        if not cudnn5_found and not cudnn6_found:
            print("- Could not find cuDNN.")
        elif not cudnn5_found:
            print("- Could not find cuDNN 5.1.")
        else:
            print("- Could not find cuDNN 6.")
            print("""
  The GPU version of TensorFlow requires that the correct cuDNN DLL be installed
  in a directory that is named in your %PATH% environment variable. Note that
  installing cuDNN is a separate step from installing CUDA, and it is often
  found in a different directory from the CUDA DLLs. The correct version of
  cuDNN depends on your version of TensorFlow:

  * TensorFlow 1.2.1 or earlier requires cuDNN 5.1. ('cudnn64_5.dll')
  * TensorFlow 1.3 or later requires cuDNN 6. ('cudnn64_6.dll')

  You may install the necessary DLL by downloading cuDNN from this URL:
  https://developer.nvidia.com/cudnn""")

    if not candidate_explanation:
        print("""
- All required DLLs appear to be present. Please open an issue on the
  TensorFlow GitHub page: https://github.com/tensorflow/tensorflow/issues""")

    sys.exit(-1)


if __name__ == "__main__":
    main()

当我运行它时，它会输出：

TensorFlow successfully installed.The installed version of TensorFlow includes GPU support.

4 个答案:

答案 0 :(得分：4)

运行Tensorboard - 从命令窗口（不是python - 但是Python 3.5.2的命令窗口）

  1. 运行Python命令 - 指向tensorboard的main.py文件！ C：\ Software \ Python \ WinPython-64bit-3.5.2＆gt; python C：\ Software \ Python \ WinPython-64bit-3.5.2 \ Lib \ site-packages \ tensorboard \ main.py --logdir = C ：\ SOFTWARE \的Python \代码\ TensorFlow \日志

  2. 在WebBrowser上复制socket / url - http://username_or_some_path:6006

答案 1 :(得分：1)

如果您使用的是TensorFlow GPU v1.3，请确保使用的是cuDNN v5.1，而不是6.0。

如install guide中所述：

  

cuDNN v5.1。有关详细信息，请参阅NVIDIA的文档。请注意，cuDNN通常安装在与其他CUDA DLL不同的位置。确保将安装cuDNN DLL的目录添加到％PATH％环境变量中。

     

如果您使用上述某个软件包的其他版本，请更改为指定的版本。特别是，cuDNN版本必须完全匹配：如果无法找到cuDNN64_5.dll，则不会加载TensorFlow。要使用不同版本的cuDNN，您必须从源代码构建。

答案 2 :(得分：0)

您可以创建新的环境变量名称“ tensrobaord” 和vlaue“ python C：\ Anaconda \ Lib \ site-packages \ tensorboard \ main.py”

env variable

然后运行命令tensroboard --logdir = your_log_dir

答案 3 :(得分：0)

对于tensorflow 2.0.0b1（使用PyCharm时），在tensorboard.exe中有一个名为PyCharmProjectFolder\venv\Scripts的可执行文件，因此您可以从命令提示符直接运行它：

C:\Users\Alex>PyCharmProjectFolder\venv\Scripts\tensorboard.exe --logdir /tmp/data

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