title: Can't launch TensorBoard from CMD
body: <p>I've managed to get TensorFlow (GPU) working in Python 3.5.2, but when I try to launch <code>tensorboard</code> from the command prompt, I get this error:</p>
  
  <pre><code>C:\Users\Alex&gt;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 &lt;module&gt;
      from tensorflow.python import pywrap_tensorflow
    File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 28, in &lt;module&gt;
      _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 &lt;module&gt;
    File "c:\python35\lib\site-packages\tensorflow\__init__.py", line 24, in &lt;module&gt;
      from tensorflow.python import *
    File "c:\python35\lib\site-packages\tensorflow\python\__init__.py", line 60, in &lt;module&gt;
      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 &lt;module&gt;
      from tensorflow.python import pywrap_tensorflow
    File "c:\python35\lib\site-packages\tensorflow\python\pywrap_tensorflow.py", line 28, in &lt;module&gt;
      _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.
  </code></pre>
  
  <p>Is there a way to launch tensorboard from Python directly, or should I try to fix tensorboard in CMD? Thanks in advance.</p>
  
  <p>EDIT:</p>
  
  <p>I ran the following script that determined that TensorFlow was installed correctly:</p>
  
  <pre><code># 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()
  </code></pre>
  
  <p>When I run it, it outputs this: </p>
  
  <pre><code>TensorFlow successfully installed.The installed version of TensorFlow includes GPU support.
  </code></pre>