From 77be4fbc372cc9ae1439a9c0bc637e05d4d20dfb Mon Sep 17 00:00:00 2001 From: mieskolainen Date: Sun, 20 Oct 2024 11:37:39 +0000 Subject: [PATCH] deploy: df28830b2a578845454572e2df44a67b5a6dadba --- _modules/icenet/tools/aux.html | 60 +++++++++++++++++++--------------- modules/icenet.html | 7 ++-- searchindex.js | 2 +- 3 files changed, 40 insertions(+), 29 deletions(-) diff --git a/_modules/icenet/tools/aux.html b/_modules/icenet/tools/aux.html index 3081a8e6..4a6c031f 100644 --- a/_modules/icenet/tools/aux.html +++ b/_modules/icenet/tools/aux.html @@ -1694,13 +1694,17 @@

Source code for icenet.tools.aux

     """
     Create model filename
     
-    This function automatically takes the minimum validation loss epoch / iteration,
-    if epoch == - 1, by first reading the last epoch / iteration file.
+    This function automatically takes the minimum validation loss epoch / iteration
+    
+    if epoch == - 1, we try to find the best loss model
+       epoch == - 2, we take the latest epoch
+    
     """
     def createfilename(i):
         return f'{path}/{label}_{i}{filetype}'
     
-    if epoch is None or epoch == -1:
+    if epoch is None or epoch < 0:
+        
         print(f'Loading the latest model by timestamp', 'yellow')
 
         list_of_files = glob.glob(f'{path}/{label}_*{filetype}')
@@ -1710,37 +1714,41 @@ 
Source code for icenet.tools.aux
             txt += f" under path {path}"
             raise Exception(txt)
         
-        # Latest model
+        # The latest model
         filename = max(list_of_files, key=os.path.getctime)
         
         # ----------------------------------------------------
         # Try to find the best model
-        succeeded = False
-        try:
-            # Try with pickle load
-            with open(filename, 'rb') as file:
-                data  = pickle.load(file)
-            succeeded = True
+        
+        if epoch == -1:
             
-        except:
-            # Try with torch load
+            succeeded = False
+                
             try:
-                data = torch.load(filename, map_location = 'cpu')
+                # Try with pickle load
+                with open(filename, 'rb') as file:
+                    data  = pickle.load(file)
                 succeeded = True
+                
+            except:
+                # Try with torch load
+                try:
+                    data = torch.load(filename, map_location = 'cpu')
+                    succeeded = True
+                
+                except Exception as e:
+                    print(e)
+                    print(f'Problem in finding the model [{label}] with the minimum validation loss', 'red')
             
-            except Exception as e:
-                print(e)
-                print(f'Problem in finding the model [{label}] with the minimum validation loss', 'red')
-        
-        if succeeded:
-            # Take the minimum validation loss epoch index
-            losses = np.array(data['losses']['val_losses'])
-            idx    = np.argmin(losses)
-            
-            str = f'Found the best model at epoch [{idx}] with validation loss = {losses[idx]:0.4f}'
-            print(f'{str}', 'magenta')
-            
-            filename = createfilename(idx)
+            if succeeded:
+                # Take the minimum validation loss epoch index
+                losses = np.array(data['losses']['val_losses'])
+                idx    = np.argmin(losses)
+                
+                str = f'Found the best model at epoch [{idx}] with validation loss = {losses[idx]:0.4f}'
+                print(f'{str}', 'magenta')
+                
+                filename = createfilename(idx)
         # ----------------------------------------------------
         
     else:
diff --git a/modules/icenet.html b/modules/icenet.html
index de6593ff..ea282d19 100644
--- a/modules/icenet.html
+++ b/modules/icenet.html
@@ -3070,8 +3070,11 @@ 
icenet.tools
 create_model_filename(path: str, label: str, filetype='.dat', epoch: int | None = None)[source]ΒΆ
 
Create model filename

-
This function automatically takes the minimum validation loss epoch / iteration,
-if epoch == - 1, by first reading the last epoch / iteration file.

+
This function automatically takes the minimum validation loss epoch / iteration

+

+
if epoch == - 1, we try to find the best loss model
epoch == - 2, we take the latest epoch

+

+

 

 
 

diff --git a/searchindex.js b/searchindex.js
index f1c0faea..d31e60f8 100644
--- a/searchindex.js
+++ b/searchindex.js
@@ -1 +1 @@
-Search.setIndex({"alltitles": {"AI-algorithms and models": [[15, "ai-algorithms-and-models"]], "Advanced ML-training technology": [[15, "advanced-ml-training-technology"]], "Automated selectors and combinatorics for distributions": [[15, "automated-selectors-and-combinatorics-for-distributions"]], "Automated setup": [[14, "automated-setup"]], "Basic design principles": [[15, "basic-design-principles"]], "C-library versions": [[14, "c-library-versions"]], "CMSSW setup": [[13, "cmssw-setup"]], "Conda virtual environment commands": [[14, "conda-virtual-environment-commands"]], "Contents": [[0, "contents"]], "First steps": [[0, "first-steps"]], "Folder structure": [[15, "folder-structure"]], "GPU-support commands": [[14, "gpu-support-commands"]], "HTCondor GPU job submission": [[14, "htcondor-gpu-job-submission"]], "Indices and Tables": [[0, "indices-and-tables"]], "Initialize the environment": [[14, "initialize-the-environment"]], "Installation": [[14, "installation"]], "Introduction": 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\ No newline at end of file
+Search.setIndex({"alltitles": {"AI-algorithms and models": [[15, "ai-algorithms-and-models"]], "Advanced ML-training technology": [[15, "advanced-ml-training-technology"]], "Automated selectors and combinatorics for distributions": [[15, "automated-selectors-and-combinatorics-for-distributions"]], "Automated setup": [[14, "automated-setup"]], "Basic design principles": [[15, "basic-design-principles"]], "C-library versions": [[14, "c-library-versions"]], "CMSSW setup": [[13, "cmssw-setup"]], "Conda virtual environment commands": [[14, "conda-virtual-environment-commands"]], "Contents": [[0, "contents"]], "First steps": [[0, "first-steps"]], "Folder structure": [[15, "folder-structure"]], "GPU-support commands": [[14, "gpu-support-commands"]], "HTCondor GPU job submission": [[14, "htcondor-gpu-job-submission"]], "Indices and Tables": [[0, "indices-and-tables"]], "Initialize the environment": [[14, "initialize-the-environment"]], "Installation": [[14, "installation"]], "Introduction": 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