From cd008ed29b9b80044926b9dc27460a656dfe378d Mon Sep 17 00:00:00 2001
From: Jean-Luc Parouty <Jean-Luc.Parouty@grenoble-inp.fr>
Date: Wed, 4 Mar 2020 19:30:10 +0100
Subject: [PATCH] Update README.md/ipynd and details
Former-commit-id: c689dc0563c92b212a195d2c1fe4717591090acd
---
README.ipynb | 25 +++++++------------
README.md | 2 +-
VAE/07-VAE-with-CelebA-m.ipynb | 3 ++-
...07-VAE-with-CelebA-m.nbconvert-done.ipynb} | 3 ++-
VAE/08-VAE-withCelebA-post.ipynb | 2 +-
5 files changed, 15 insertions(+), 20 deletions(-)
rename VAE/{07-VAE-with-CelebA-m.nbconvert.ipynb => 07-VAE-with-CelebA-m.nbconvert-done.ipynb} (98%)
diff --git a/README.ipynb b/README.ipynb
index c1ec1d2..ba1081d 100644
--- a/README.ipynb
+++ b/README.ipynb
@@ -94,21 +94,21 @@
"[[SYNOP3] - Time series with RNN - 12h predictions](SYNOP/03-12h-predictions.ipynb) \n",
" Episode 3: Attempt to predict in the longer term \n",
"[[VAE1] - Variational AutoEncoder (VAE) with MNIST](VAE/01-VAE-with-MNIST.ipynb) \n",
- " First generative network experience with the MNIST dataset \n",
+ " Episode 1 : Model construction and Training \n",
"[[VAE2] - Variational AutoEncoder (VAE) with MNIST - Analysis](VAE/02-VAE-with-MNIST-post.ipynb) \n",
- " Use of the previously trained model, analysis of the results \n",
+ " Episode 2 : Exploring our latent space \n",
"[[VAE3] - About the CelebA dataset](VAE/03-About-CelebA.ipynb) \n",
- " New VAE experience, but with a larger and more fun dataset \n",
+ " Episode 3Â : About the CelebA dataset, a more fun dataset ! \n",
"[[VAE4] - Preparation of the CelebA dataset](VAE/04-Prepare-CelebA-batch.ipynb) \n",
- " Preparation of a clustered dataset, batchable \n",
+ " Episode 4Â : Preparation of a clustered dataset, batchable \n",
"[[VAE5] - Checking the clustered CelebA dataset](VAE/05-Check-CelebA.ipynb) \n",
- " Verification of prepared data from CelebA dataset \n",
+ " Episode 5Â :\\tChecking the clustered dataset \n",
"[[VAE6] - Variational AutoEncoder (VAE) with CelebA (small)](VAE/06-VAE-with-CelebA-s.ipynb) \n",
- " VAE with a more fun and realistic dataset - small resolution and batchable \n",
+ " Episode 6Â : Variational AutoEncoder (VAE) with CelebA (small res.) \n",
"[[VAE7] - Variational AutoEncoder (VAE) with CelebA (medium)](VAE/07-VAE-with-CelebA-m.ipynb) \n",
- " VAE with a more fun and realistic dataset - medium resolution and batchable \n",
- "[[VAE12] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/12-VAE-withCelebA-post.ipynb) \n",
- " Use of the previously trained model with CelebA, analysis of the results \n",
+ " Episode 7Â : Variational AutoEncoder (VAE) with CelebA (medium res.) \n",
+ "[[VAE8] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/08-VAE-withCelebA-post.ipynb) \n",
+ " Episode 8Â : Exploring latent space of our trained models \n",
"[[BASH1] - OAR batch script](VAE/batch-oar.sh) \n",
" Bash script for OAR batch submission of a notebook \n",
"[[BASH2] - SLURM batch script](VAE/batch-slurm.sh) \n",
@@ -142,13 +142,6 @@
},
"metadata": {},
"output_type": "display_data"
- },
- {
- "name": "stdout",
- "output_type": "stream",
- "text": [
- "The history saving thread hit an unexpected error (DatabaseError('database disk image is malformed')).History will not be written to the database.\n"
- ]
}
],
"source": [
diff --git a/README.md b/README.md
index 9b97450..b87ec08 100644
--- a/README.md
+++ b/README.md
@@ -93,7 +93,7 @@ Useful information is also available in the [wiki](https://gricad-gitlab.univ-gr
Episode 6Â : Variational AutoEncoder (VAE) with CelebA (small res.)
[[VAE7] - Variational AutoEncoder (VAE) with CelebA (medium)](VAE/07-VAE-with-CelebA-m.ipynb)
Episode 7Â : Variational AutoEncoder (VAE) with CelebA (medium res.)
-[[VAE12] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/08-VAE-withCelebA-post.ipynb)
+[[VAE8] - Variational AutoEncoder (VAE) with CelebA - Analysis](VAE/08-VAE-withCelebA-post.ipynb)
Episode 8Â : Exploring latent space of our trained models
[[BASH1] - OAR batch script](VAE/batch-oar.sh)
Bash script for OAR batch submission of a notebook
diff --git a/VAE/07-VAE-with-CelebA-m.ipynb b/VAE/07-VAE-with-CelebA-m.ipynb
index 3943556..bfe64fd 100644
--- a/VAE/07-VAE-with-CelebA-m.ipynb
+++ b/VAE/07-VAE-with-CelebA-m.ipynb
@@ -179,7 +179,8 @@
"## Step 5 - Train\n",
"For 10 epochs, adam optimizer : \n",
"- Run time at IDRIS : 1299.77 sec. - 0:21:39\n",
- "- Run time at GRICAD : 2092.77 sec. - 0:34:52"
+ "- Run time at GRICAD : 2092.77 sec. - 0:34:52\n",
+ "- Run time at IDRIS with medium resolution : Train duration : 6638.61 sec. - 1:50:38"
]
},
{
diff --git a/VAE/07-VAE-with-CelebA-m.nbconvert.ipynb b/VAE/07-VAE-with-CelebA-m.nbconvert-done.ipynb
similarity index 98%
rename from VAE/07-VAE-with-CelebA-m.nbconvert.ipynb
rename to VAE/07-VAE-with-CelebA-m.nbconvert-done.ipynb
index 13c392d..46f4b4e 100644
--- a/VAE/07-VAE-with-CelebA-m.nbconvert.ipynb
+++ b/VAE/07-VAE-with-CelebA-m.nbconvert-done.ipynb
@@ -262,7 +262,8 @@
"## Step 5 - Train\n",
"For 10 epochs, adam optimizer : \n",
"- Run time at IDRIS : 1299.77 sec. - 0:21:39\n",
- "- Run time at GRICAD : 2092.77 sec. - 0:34:52"
+ "- Run time at GRICAD : 2092.77 sec. - 0:34:52\n",
+ "- At IDRIS with medium resolution : Train duration : 6638.61 sec. - 1:50:38"
]
},
{
diff --git a/VAE/08-VAE-withCelebA-post.ipynb b/VAE/08-VAE-withCelebA-post.ipynb
index 3ed0684..0f9c5a6 100644
--- a/VAE/08-VAE-withCelebA-post.ipynb
+++ b/VAE/08-VAE-withCelebA-post.ipynb
@@ -6,7 +6,7 @@
"source": [
"<img width=\"800px\" src=\"../fidle/img/00-Fidle-header-01.svg\"></img>\n",
"\n",
- "# <!-- TITLE --> [VAE12] - Variational AutoEncoder (VAE) with CelebA - Analysis\n",
+ "# <!-- TITLE --> [VAE8] - Variational AutoEncoder (VAE) with CelebA - Analysis\n",
"<!-- DESC --> Episode 8Â : Exploring latent space of our trained models\n",
"<!-- AUTHOR : Jean-Luc Parouty (CNRS/SIMaP) -->\n",
"\n",
--
GitLab