# 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()