Skip to content

Commit

Permalink
Fixed link in readme
Browse files Browse the repository at this point in the history
  • Loading branch information
LukasMosser committed Jun 16, 2019
1 parent ba1b3f1 commit 0e3a056
Showing 1 changed file with 6 additions and 6 deletions.
12 changes: 6 additions & 6 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -6,9 +6,9 @@ Authors: [Lukas Mosser](https://twitter.com/porestar), [Olivier Dubrule](https:/

## Model Architecture

The model architecture consists of two parts:
- the generative adversarial network (implemented in [Pytorch](https://pytorch.org))
- the acoustic wave equation forward solver implemented in ([Devito](https://www.opesci.org/devito)).
The model architecture consists of two parts:
- the generative adversarial network (implemented in [Pytorch](https://pytorch.org))
- the acoustic wave equation forward solver implemented in ([Devito](https://www.opesci.org/devito)).
The coupling between the two defines a fully differentiable computational graph.

## Movie representation of samples from the prior
Expand All @@ -21,7 +21,7 @@ The coupling between the two defines a fully differentiable computational graph.

## Usage

To perform the inversion using the available pre-trained generator network use ``` apps/main_paper_version_revised.py ```
To perform the inversion using the available pre-trained generator network use ``` apps/main_paper_version_revised.py ```
(Sorry for the long name, but older versions of the code were kept for reference purposes)

## Trained Models
Expand All @@ -32,12 +32,12 @@ Pre-trained models are available in the [checkpoints](checkpoints/) directory.
The resulting datasets are available in this [Google Drive](https://drive.google.com/drive/folders/1xLkLwDxAGVmfz-o2DzImgr8fP0fQNHW4?usp=sharing)

Each run was made reproducible by setting the run-number = seed command-line argument.
Computations were performed on Imperial College CX1 supercomputing facilities.
Computations were performed on Imperial College CX1 supercomputing facilities.
Total duration: 12 hours wall-time on 32-core nodes ~ 50 nodes simultaneously.

## Figures from paper

The figures from the paper can be reproduced using ```notebooks/Paper_Figures.ipynb```.
The figures from the paper can be reproduced using ```notebooks/Paper_Figures.ipynb```.
All figures are located in ```results/figures```

## Devito Optimizations
Expand Down

0 comments on commit 0e3a056

Please sign in to comment.