Revision 15 as of 2020-07-27 16:48:20

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Quick start

Fast Downward is released in four flavours: tarball, Singularity, Docker and Vagrant. We provide below a few instructions to get you started as quickly as possible. You can find a more detailed description on ObtainingAndRunningFastDownward and PlannerUsage.

What flavour is for me?

See WhatFlavourIsForMe for a more detailed discussion.

Running the Singularity image

We assume that Singularity is installed on your machine. We have tested Singularity 2.6, 3.2, and 3.5. Here is how you can download the planner image and run the LAMA-first configuration to solve a planning task located in the $BENCHMARKS directory. LAMA-first is designed to find solutions quickly without much regard for plan cost: 

   1 # Download the planner image and store it in the file "downward.sif". Only do this once.
   2 singularity pull --name downward.sif shub://aibasel/downward
   3 # Run the planner.
   4 singularity run downward.sif --alias lama-first $BENCHMARKS/gripper/prob01.pddl

Unlike Docker (see below), $BENCHMARKS does not have to be an absolute path.

Alternative way without "singularity run"

With reasonably recent versions of Singularity, the image file can be executed directly like a script, leading to a simpler usage than via singularity run. For example, you can download and run the planner like this: 

   1 # Download the planner and store it in the file "downward". Only do this once.
   2 singularity pull --name downward shub://aibasel/downward
   3 # Run the planner.
   4 ./downward --alias lama-first $BENCHMARKS/gripper/prob01.pddl

Troubleshooting

Depending on your configuration, the singularity pull step might produce an error message like the following: 

ERROR  : Called singularity_config_get_value on uninitialized config subsystem
ABORT  : Retval = 255

In our experience, this error can be ignored.

Running the Docker image

We assume that Docker is installed on your machine. You want to solve a planning problem located on the $BENCHMARKS directory. You can run the same LAMA-first configuration as before: 

   1 sudo docker run --rm -v $BENCHMARKS:/benchmarks aibasel/downward --alias lama-first /benchmarks/gripper/prob01.pddl

Note the use of sudo (Docker usually requires root privileges).

Note that this mounts the local directory $BENCHMARKS of your host machine under the container directory /benchmarks, which is the place where the containerized planner looks for the problem. The path stored in the $BENCHMARKS variable must be absolute.

The Docker image for Fast Downward is installed on your machine as a side-effect of the command.

Using a Vagrant machine

We assume that

Create and provision your virtual machine as follows: 

   1 # Set up the VM. Only run this one.
   2 mkdir my-fast-downward-vm
   3 cp Vagrantfile my-fast-downward-vm/
   4 cp domain.pddl problem.pddl my-fast-downward-vm/
   5 # Skip next line if you don't need LP support.
   6 export DOWNWARD_LP_INSTALLERS=/path/to/lp/installers
   7 cd my-fast-downward-vm
   8 vagrant up
   9 # The VM is now set up.
  10 # You can now safely delete the LP installers and unset the environment variable.
  11 
  12 # Log into the VM and run the planner.
  13 vagrant ssh
  14 downward/fast-downward.py --alias lama-first /vagrant/domain.pddl /vagrant/problem.pddl
  15 
  16 # Log out from the VM.
  17 exit

Source code

See ObtainingAndRunningFastDownward for a complete description on how to build the planner from source.

Next steps