Cuda and cudnn install. Where is cudnn_samples_v7?











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I am follow this to install cuda and cudnn http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html



Does the below output mean that cuda is already properly installed ? What other code must i type to check if cuda has been properly installed ?



usr@usr-P15SM:~$ ldconfig -p | grep cuda
libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

usr@usr-P15SM:~$ nvidia-smi
Wed Apr 4 10:22:41 2018
+-----------------------------------------------------------------------------+
| NVIDIA-SMI 384.111 Driver Version: 384.111 |
|-------------------------------+----------------------+----------------------+
| 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 780M Off | 00000000:01:00.0 N/A | N/A |
| N/A 47C P8 N/A / N/A | 173MiB / 4036MiB | N/A Default |
+-------------------------------+----------------------+----------------------+

+-----------------------------------------------------------------------------+
| Processes: GPU Memory |
| GPU PID Type Process name Usage |
|=============================================================================|
| 0 Not Supported |
+-----------------------------------------------------------------------------+

usr@usr-P15SM:~$ nvcc --version
nvcc: NVIDIA (R) Cuda compiler driver
Copyright (c) 2005-2015 NVIDIA Corporation
Built on Tue_Aug_11_14:27:32_CDT_2015
Cuda compilation tools, release 7.5, V7.5.17


But when i go to this step http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#verify,




To verify that cuDNN is installed and is running properly, compile the
mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory
in the debian file.




but i cannot find /usr/src/cudnn_samples_v7 ? Help please easy question free points.










share|improve this question




























    up vote
    2
    down vote

    favorite












    I am follow this to install cuda and cudnn http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html



    Does the below output mean that cuda is already properly installed ? What other code must i type to check if cuda has been properly installed ?



    usr@usr-P15SM:~$ ldconfig -p | grep cuda
    libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
    libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
    libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
    libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
    libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
    libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
    libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

    usr@usr-P15SM:~$ nvidia-smi
    Wed Apr 4 10:22:41 2018
    +-----------------------------------------------------------------------------+
    | NVIDIA-SMI 384.111 Driver Version: 384.111 |
    |-------------------------------+----------------------+----------------------+
    | 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 780M Off | 00000000:01:00.0 N/A | N/A |
    | N/A 47C P8 N/A / N/A | 173MiB / 4036MiB | N/A Default |
    +-------------------------------+----------------------+----------------------+

    +-----------------------------------------------------------------------------+
    | Processes: GPU Memory |
    | GPU PID Type Process name Usage |
    |=============================================================================|
    | 0 Not Supported |
    +-----------------------------------------------------------------------------+

    usr@usr-P15SM:~$ nvcc --version
    nvcc: NVIDIA (R) Cuda compiler driver
    Copyright (c) 2005-2015 NVIDIA Corporation
    Built on Tue_Aug_11_14:27:32_CDT_2015
    Cuda compilation tools, release 7.5, V7.5.17


    But when i go to this step http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#verify,




    To verify that cuDNN is installed and is running properly, compile the
    mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory
    in the debian file.




    but i cannot find /usr/src/cudnn_samples_v7 ? Help please easy question free points.










    share|improve this question


























      up vote
      2
      down vote

      favorite









      up vote
      2
      down vote

      favorite











      I am follow this to install cuda and cudnn http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html



      Does the below output mean that cuda is already properly installed ? What other code must i type to check if cuda has been properly installed ?



      usr@usr-P15SM:~$ ldconfig -p | grep cuda
      libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
      libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
      libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
      libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
      libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
      libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
      libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

      usr@usr-P15SM:~$ nvidia-smi
      Wed Apr 4 10:22:41 2018
      +-----------------------------------------------------------------------------+
      | NVIDIA-SMI 384.111 Driver Version: 384.111 |
      |-------------------------------+----------------------+----------------------+
      | 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 780M Off | 00000000:01:00.0 N/A | N/A |
      | N/A 47C P8 N/A / N/A | 173MiB / 4036MiB | N/A Default |
      +-------------------------------+----------------------+----------------------+

      +-----------------------------------------------------------------------------+
      | Processes: GPU Memory |
      | GPU PID Type Process name Usage |
      |=============================================================================|
      | 0 Not Supported |
      +-----------------------------------------------------------------------------+

      usr@usr-P15SM:~$ nvcc --version
      nvcc: NVIDIA (R) Cuda compiler driver
      Copyright (c) 2005-2015 NVIDIA Corporation
      Built on Tue_Aug_11_14:27:32_CDT_2015
      Cuda compilation tools, release 7.5, V7.5.17


      But when i go to this step http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#verify,




      To verify that cuDNN is installed and is running properly, compile the
      mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory
      in the debian file.




      but i cannot find /usr/src/cudnn_samples_v7 ? Help please easy question free points.










      share|improve this question















      I am follow this to install cuda and cudnn http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html



      Does the below output mean that cuda is already properly installed ? What other code must i type to check if cuda has been properly installed ?



      usr@usr-P15SM:~$ ldconfig -p | grep cuda
      libicudata.so.55 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libicudata.so.55
      libcudart.so.7.5 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so.7.5
      libcudart.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcudart.so
      libcuda.so.1 (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so.1
      libcuda.so.1 (libc6) => /usr/lib/i386-linux-gnu/libcuda.so.1
      libcuda.so (libc6,x86-64) => /usr/lib/x86_64-linux-gnu/libcuda.so
      libcuda.so (libc6) => /usr/lib/i386-linux-gnu/libcuda.so

      usr@usr-P15SM:~$ nvidia-smi
      Wed Apr 4 10:22:41 2018
      +-----------------------------------------------------------------------------+
      | NVIDIA-SMI 384.111 Driver Version: 384.111 |
      |-------------------------------+----------------------+----------------------+
      | 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 780M Off | 00000000:01:00.0 N/A | N/A |
      | N/A 47C P8 N/A / N/A | 173MiB / 4036MiB | N/A Default |
      +-------------------------------+----------------------+----------------------+

      +-----------------------------------------------------------------------------+
      | Processes: GPU Memory |
      | GPU PID Type Process name Usage |
      |=============================================================================|
      | 0 Not Supported |
      +-----------------------------------------------------------------------------+

      usr@usr-P15SM:~$ nvcc --version
      nvcc: NVIDIA (R) Cuda compiler driver
      Copyright (c) 2005-2015 NVIDIA Corporation
      Built on Tue_Aug_11_14:27:32_CDT_2015
      Cuda compilation tools, release 7.5, V7.5.17


      But when i go to this step http://docs.nvidia.com/deeplearning/sdk/cudnn-install/index.html#verify,




      To verify that cuDNN is installed and is running properly, compile the
      mnistCUDNN sample located in the /usr/src/cudnn_samples_v7 directory
      in the debian file.




      but i cannot find /usr/src/cudnn_samples_v7 ? Help please easy question free points.







      drivers nvidia cuda






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      edited Apr 4 at 9:55

























      asked Apr 4 at 8:34









      Kong

      2851618




      2851618






















          2 Answers
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          You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.






          share|improve this answer




























            up vote
            0
            down vote













            Nvidia SDK doc:




            2.3.2. Installing from a Debian File




            1. Install the code samples and the cuDNN Library User Guide, for example:
              sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb




            You need to download the deb file and install the code samples with the above code.






            share|improve this answer





















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              2 Answers
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              2 Answers
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              active

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              active

              oldest

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              active

              oldest

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              up vote
              1
              down vote













              You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.






              share|improve this answer

























                up vote
                1
                down vote













                You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.






                share|improve this answer























                  up vote
                  1
                  down vote










                  up vote
                  1
                  down vote









                  You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.






                  share|improve this answer












                  You need to download a separate file cuDNN v7.1.3 Code Samples and User Guide for Ubuntu16.04 (Deb) from the same page where you got CuDNN files, and install it with dpkg.







                  share|improve this answer












                  share|improve this answer



                  share|improve this answer










                  answered May 9 at 21:39









                  MichaelSB

                  12816




                  12816
























                      up vote
                      0
                      down vote













                      Nvidia SDK doc:




                      2.3.2. Installing from a Debian File




                      1. Install the code samples and the cuDNN Library User Guide, for example:
                        sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb




                      You need to download the deb file and install the code samples with the above code.






                      share|improve this answer

























                        up vote
                        0
                        down vote













                        Nvidia SDK doc:




                        2.3.2. Installing from a Debian File




                        1. Install the code samples and the cuDNN Library User Guide, for example:
                          sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb




                        You need to download the deb file and install the code samples with the above code.






                        share|improve this answer























                          up vote
                          0
                          down vote










                          up vote
                          0
                          down vote









                          Nvidia SDK doc:




                          2.3.2. Installing from a Debian File




                          1. Install the code samples and the cuDNN Library User Guide, for example:
                            sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb




                          You need to download the deb file and install the code samples with the above code.






                          share|improve this answer












                          Nvidia SDK doc:




                          2.3.2. Installing from a Debian File




                          1. Install the code samples and the cuDNN Library User Guide, for example:
                            sudo dpkg -i libcudnn7-doc_7.0.3.11-1+cuda9.0_amd64.deb




                          You need to download the deb file and install the code samples with the above code.







                          share|improve this answer












                          share|improve this answer



                          share|improve this answer










                          answered Nov 25 at 23:11









                          johan456789

                          11




                          11






























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