Please report issues via and submit your pull requests via. This is useful if you want to modify the Tensor library itself or for debugging. However, you can actually achieve this by.
You can also directly reference the Tensor.fsproj and projects inside the source tree from your project by using dotnet add reference. The current version of the dotnet command line interface provides features to add a nuget package, but doesn’t expose a separate command to update them. The source code of the Tensor library is available at. $ dotnet runīy changing HostTensor to CudaTensor inside Program.fs and executing dotnet run, you can test if GPU acceleration works properly. If everything works fine, dotnet run automatically builds your project and produces the following output. Place the following code into Program.fs. To verify that the installation was successful you can perform a basic test of the library.
Then, run the following commands to install the Tensor library into your project. Today’s release is the result of just over a year’s worth of effort by the. To create the skeleton project run the following commands. NET Core 2.0 on either Linux or Windows for the rest of the tutorial. dotnet build dotnet new console dotnet -help. You can pass commands to the dotnet driver as shown below. In the course of this tutorial you will use the following skeleton project for experimentation. The dotnet driver is the CLI command (dotnet.exe) that is responsible for executing commands that are provided to it and running framework-dependent applications. The packages can be installed into your project by installing the Tensor and Tensor.Algorithm packages using the NuGet package manager (either via command line or graphical interface). The Tensor NuGet package provides the Tensor type and all core functions.Īdditional algorithms and data exchange methods are provided in the Tensor.Algorithm NuGet package. The library is delivered in two NuGet packages. nVidia GPU supporting CUDA compute capability 3.5 or higher.experienced due to an inappropriate location of test related files, e.g the. On unrooted Android 10+ devices startup crashes of the application can be. In some cases geckodriver could crash due to a stack overflow when handling. (install on Ubuntu by running sudo apt install libgomp1) This will be fixed in the Firefox 90 release for Android. The library libgomp.so.1 must be installed.Mono >= 5.10 is supported, but significantly slower.Operating system: Linux, MacOS or Microsoft Windows.System architecture: x86-64 (AMD64 or Intel 64).The following system requirements must be met. This page guides you through installing the Tensor library and creating a skeleton project for experimentation.