Merge pull request #1922 from NNPDF/update_fitbot_4.0.8_replica_by_re…

…plica

Update fit bot for 4.0.8

.github/workflows/fitbot.yml

@@ -77,7 +77,7 @@ jobs:
       run: |
         conda activate nnpdfenv
         cd $RUNFOLDER
-        for ((i=1; i<=$N3FIT_MAXNREP; i+=2)); do n3fit $RUNCARD.yml $i -r $((i+1)); done
+        for ((i=1; i<=$N3FIT_MAXNREP; i+=1)); do n3fit $RUNCARD.yml $i ; done
     # performing DGLAP
     - name: Running dglap
       shell: bash -l {0}

n3fit/src/n3fit/backends/keras_backend/MetaModel.py

@@ -341,9 +341,9 @@ def get_replica_weights(self, i_replica):
         """
         Get the weights of replica i_replica.
 
-        This assumes that the only weights are in layers called
-        ``NN_{i_replica}`` and ``preprocessing_factor_{i_replica}``
-
+        This assumes that the only weights are in the
+        layer types defined as the constants
+            NN_LAYER_ALL_REPLICAS & PREPROCESSING_LAYER_ALL_REPLICAS
 
         Parameters
         ----------
@@ -458,7 +458,8 @@ def get_layer_replica_weights(layer, i_replica: int):
             list of weights for the replica
     """
     if is_stacked_single_replicas(layer):
-        weights = layer.get_layer(f"{NN_PREFIX}_{i_replica}").weights
+        weights_ref = layer.get_layer(f"{NN_PREFIX}_{i_replica}").weights
+        weights = [tf.Variable(w, name=w.name) for w in weights_ref]
     else:
         weights = [tf.Variable(w[i_replica : i_replica + 1], name=w.name) for w in layer.weights]
 

validphys2/src/validphys/tests/photon/test_compute.py

@@ -17,6 +17,8 @@
 
 
 def generate_fiatlux_runcard():
+    # Ensures the PDF from conftest exists
+    _ = FallbackLoader().check_pdf(PDF)
     return {
         "luxset": PDFset(PDF),
         # check if "LUXqed17_plus_PDF4LHC15_nnlo_100" is installed