Merge pull request #2222 from NNPDF/remove_multi_dense

Remove the multi dense layer
NNPDF · Nov 21, 2024 · ad31fac · ad31fac
2 parents 541ab4d + 996e8e0
commit ad31fac
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Showing 14 changed files with 47 additions and 1,141 deletions.
diff --git a/extra_tests/regression_checks.py b/extra_tests/regression_checks.py
@@ -27,7 +27,6 @@
     "no_lagrange": 27,
     "no_csr": 613,
     "polarized_evol": 34,
-    "multi_dense": 316,
     "t0theoryid": 100,
 }
 

diff --git a/extra_tests/regression_fits/multi_dense.weights.h5 b/extra_tests/regression_fits/multi_dense.weights.h5
diff --git a/extra_tests/regression_fits/multi_dense.yml b/extra_tests/regression_fits/multi_dense.yml
diff --git a/extra_tests/regression_fits/multi_dense_316.exportgrid b/extra_tests/regression_fits/multi_dense_316.exportgrid
diff --git a/extra_tests/regression_fits/multi_dense_316.json b/extra_tests/regression_fits/multi_dense_316.json
diff --git a/n3fit/runcards/examples/Basic_runcard_parallel.yml b/n3fit/runcards/examples/Basic_runcard_parallel.yml
@@ -50,12 +50,8 @@ parameters: # This defines the parameter dictionary that is passed to the Model
   threshold_chi2: 5.0
 
 fitting:
-  sum_rules: "All"
-  # NN23(QED) = sng=0,g=1,v=2,t3=3,ds=4,sp=5,sm=6,(pht=7)
-  # EVOL(QED) = sng=0,g=1,v=2,v3=3,v8=4,t3=5,t8=6,(pht=7)
-  # EVOLS(QED)= sng=0,g=1,v=2,v8=4,t3=4,t8=5,ds=6,(pht=7)
-  # FLVR(QED) = g=0, u=1, ubar=2, d=3, dbar=4, s=5, sbar=6, (pht=7)
   fitbasis: NN31IC # EVOL (7), EVOLQED (8), etc.
+  savepseudodata: False
   basis:
       # remeber to change the name of PDF accordingly with fitbasis
       # smallx, largex: preprocessing ranges

diff --git a/n3fit/src/n3fit/backends/__init__.py b/n3fit/src/n3fit/backends/__init__.py
@@ -19,6 +19,6 @@
     set_eager,
     set_initial_state,
 )
-from n3fit.backends.keras_backend.multi_dense import MultiInitializer
+from n3fit.backends.keras_backend.multi_initializer import MultiInitializer
 
 print("Using Keras backend")
diff --git a/n3fit/src/n3fit/backends/keras_backend/base_layers.py b/n3fit/src/n3fit/backends/keras_backend/base_layers.py
@@ -25,7 +25,6 @@
 from tensorflow.keras.regularizers import l1_l2
 
 from .MetaLayer import MetaLayer
-from .multi_dense import MultiDense
 from .operations import concatenate_function
 
 
@@ -132,18 +131,6 @@ def apply_dense(xinput):
 
 
 layers = {
-    "multidense": (
-        MultiDense,
-        {
-            "replica_seeds": None,
-            "base_seed": 0,
-            "kernel_initializer": "glorot_normal",
-            "units": 5,
-            "activation": "sigmoid",
-            "kernel_regularizer": None,
-            "is_first_layer": False,
-        },
-    ),
     "dense": (
         Dense,
         {