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.
drivers nvidia cuda
add a comment |
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.
drivers nvidia cuda
add a comment |
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.
drivers nvidia cuda
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
drivers nvidia cuda
edited Apr 4 at 9:55
asked Apr 4 at 8:34
Kong
2851618
2851618
add a comment |
add a comment |
2 Answers
2
active
oldest
votes
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.
add a comment |
up vote
0
down vote
Nvidia SDK doc:
2.3.2. Installing from a Debian File
- 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.
add a comment |
2 Answers
2
active
oldest
votes
2 Answers
2
active
oldest
votes
active
oldest
votes
active
oldest
votes
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.
add a comment |
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.
add a comment |
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.
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.
answered May 9 at 21:39
MichaelSB
12816
12816
add a comment |
add a comment |
up vote
0
down vote
Nvidia SDK doc:
2.3.2. Installing from a Debian File
- 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.
add a comment |
up vote
0
down vote
Nvidia SDK doc:
2.3.2. Installing from a Debian File
- 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.
add a comment |
up vote
0
down vote
up vote
0
down vote
Nvidia SDK doc:
2.3.2. Installing from a Debian File
- 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.
Nvidia SDK doc:
2.3.2. Installing from a Debian File
- 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.
answered Nov 25 at 23:11
johan456789
11
11
add a comment |
add a comment |
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