Pinned Loading

1. Tutorial to setup a Distributed Data... Tutorial to setup a Distributed Data Parallel training in torch using mpirun instead of torchrun

   1

   To launch a distributed training in torch with _**mpirun**_ we have to:

   2

   1. Configure a passwordless ssh connection with the nodes

   3

   2. Setup the distributed environment inside the training script, in this case _**train.py**_

   4

   3. Launch the training from the MASTER node with _**mpirun**_

   5

2. Tutorial to setup a Data and Model P... Tutorial to setup a Data and Model Parallel training with FastMoE.

   1

   One of the main reason mixture of Experts are gaining so much attention is due to their high degree of parallelization while allowing to scale exponentially the number of parameters.

   2

   Usually this requires a lot of complex code and deep knowledge of distributed systems but we can get this for free with the FastMoE library.

   3

   4

   First of all we need to define our Experts and specify in the **_expert_dp_comm_** attribute which type of gradient reduction we would like to use out of:

   5

   - **_dp_**: reduced across the data-parallel groups, which means that in the model parallel group, they are not synchronized.   

3. DeepSpeed Multi-node Training Setup DeepSpeed Multi-node Training Setup

   1

   In this tutorial we assume to launch a distributed training on 2 nodes using DeepSpeed with the OpenMPI Launcher.

   2

   3

   1. First of all DeepSpeed needs a passwordless ssh connection with all the nodes, MASTER included:

   4

   ```

   5

   # generate a public/private ssh key and make sure to NOT insert a passphrase

4. Step-by-step installation procedure ... Step-by-step installation procedure for Intel neural speed

   1

   1. **Setup WSL**

   2

       * Install wsl: `wsl --install -d Ubuntu`

   3

   4

       * Run Powershell as Administrator and enter:

   5

           ```

5. Step-by-step tutorial for FastMoE in... Step-by-step tutorial for FastMoE installation

   1

   Step by step tutorial to install FastMoE on your local machine:

   2

   3

   1. First of all you'll need to check your torch and nccl version, make sure to have a CUDA version compatible to the one torch was compiled (in general if you have the latest torch version it works also with the latest CUDA):

   4

   ```

   5

   # go in terminal and use this command, the output should be something like this:

6. Simple Tutorial to get started with ... Simple Tutorial to get started with the FastMoE library.

   1

   In this tutorial we are going to consider a simple model in which we are going to replace the MLP with a MoE.

   2

   The starting model is defined like this:

   3

   4

   ```

   5

   class Net(nn.Module):