Using Emgu TF with GPU (Commercial Release): Difference between revisions
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Created page with "== GPU support === Emgu TF's commercial release will let you run Tensorflow graph on Windows with GPU. === Software requirements === Once the commercial license is purchased..." |
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== GPU support | == GPU support == | ||
Emgu TF's commercial release will let you run Tensorflow graph on Windows with GPU. | Emgu TF's commercial release will let you run Tensorflow graph on Windows with GPU. | ||
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* Make sure your system can run 64-bit application. Our GPU build only support running on x64 system. | * Make sure your system can run 64-bit application. Our GPU build only support running on x64 system. | ||
* A NVidia GPU is required. You Graphic card also need to support the CUDA release that our commercial release is based on. For example, our Emgu TF 1.5.0 release is based on CUDA 8 and you will need a CUDA device that supports CUDA Compute Capability of at least 3.0. If you are not sure, check out [https://en.wikipedia.org/wiki/CUDA#GPUs_supported this page] to see if your graphic card has sufficient compute capability to support GPU mode in Emgu TF. | * A NVidia GPU is required. You Graphic card also need to support the CUDA release that our commercial release is based on. For example, our Emgu TF 1.5.0 release is based on CUDA 8 and you will need a CUDA device that supports CUDA Compute Capability of at least 3.0. If you are not sure, check out [https://en.wikipedia.org/wiki/CUDA#GPUs_supported this page] to see if your graphic card has sufficient compute capability to support GPU mode in Emgu TF. | ||
* Make sure you have the latest Graphic card driver installed. e.g. our Emgu TF v1.5.0 release was tested on GeFore drive | * Make sure you have the latest Graphic card driver installed. e.g. our Emgu TF v1.5.0 release was tested on GeFore drive 390.65, you should make sure your graphic card driver is at least at this version when running Emgu TF v1.5.0. | ||
Revision as of 13:40, 28 March 2018
GPU support
Emgu TF's commercial release will let you run Tensorflow graph on Windows with GPU.
Software requirements
Once the commercial license is purchased, the first step of running Emgu TF with GPU support is to download our commercial release the contains GPU support. Please make sure you have downloaded the package that contains "-cuda" in the package name. The commercial CPU release that do not contains "-cuda" in the package name do not support GPU.
Hardware and Driver requirements
- Make sure your system can run 64-bit application. Our GPU build only support running on x64 system.
- A NVidia GPU is required. You Graphic card also need to support the CUDA release that our commercial release is based on. For example, our Emgu TF 1.5.0 release is based on CUDA 8 and you will need a CUDA device that supports CUDA Compute Capability of at least 3.0. If you are not sure, check out this page to see if your graphic card has sufficient compute capability to support GPU mode in Emgu TF.
- Make sure you have the latest Graphic card driver installed. e.g. our Emgu TF v1.5.0 release was tested on GeFore drive 390.65, you should make sure your graphic card driver is at least at this version when running Emgu TF v1.5.0.