maybe dont do auto naming in layers

henrysky · Jul 19, 2024 · 240caa3 · 240caa3
1 parent 7210bb0
commit 240caa3
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Showing 3 changed files with 6 additions and 31 deletions.
diff --git a/src/astroNN/models/apogee_models.py b/src/astroNN/models/apogee_models.py
@@ -1233,9 +1233,7 @@ class DeNormAdd(keras.layers.Layer):
     def __init__(self, norm, name=None, **kwargs):
         self.norm = norm
         self.supports_masking = True
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
+
         super().__init__(name=name, **kwargs)
 
     def call(self, inputs, training=None):

diff --git a/src/astroNN/nn/layers.py b/src/astroNN/nn/layers.py
@@ -18,9 +18,6 @@ class KLDivergenceLayer(Layer):
 
     def __init__(self, name=None, **kwargs):
         self.is_placeholder = True
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def call(self, inputs, training=None):
@@ -59,9 +56,6 @@ class VAESampling(Layer):
 
     def __init__(self, name=None, **kwargs):
         self.supports_masking = True
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def call(self, inputs):
@@ -90,9 +84,6 @@ def __init__(self, rate, disable=False, noise_shape=None, name=None, **kwargs):
         self.disable_layer = disable
         self.supports_masking = True
         self.noise_shape = noise_shape
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def _get_noise_shape(self, inputs):
@@ -200,9 +191,6 @@ def __init__(self, rate, disable=False, name=None, **kwargs):
         self.disable_layer = disable
         self.supports_masking = True
         self.rate = rate
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def call(self, inputs, training=None):
@@ -244,9 +232,6 @@ class ErrorProp(Layer):
 
     def __init__(self, name=None, **kwargs):
         self.supports_masking = True
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def call(self, inputs, training=None):
@@ -368,9 +353,6 @@ class FastMCInferenceMeanVar(Layer):
     """
 
     def __init__(self, name=None, **kwargs):
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def compute_output_shape(self, input_shape):
@@ -413,9 +395,6 @@ class FastMCRepeat(Layer):
 
     def __init__(self, n, name=None, **kwargs):
         self.n = n
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def compute_output_shape(self, input_shape):
@@ -460,9 +439,6 @@ class StopGrad(Layer):
     """
 
     def __init__(self, name=None, always_on=False, **kwargs):
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
         self.always_on = always_on
 
@@ -516,9 +492,6 @@ def __init__(self, mask, name=None, **kwargs):
             self.boolmask = mask
         self.mask_shape = self.boolmask.sum()
         self.supports_masking = True
-        if not name:
-            prefix = self.__class__.__name__
-            name = prefix + "_" + str(keras.utils.naming.auto_name(prefix))
         super().__init__(name=name, **kwargs)
 
     def compute_output_shape(self, input_shape):

diff --git a/src/astroNN/shared/nn_tools.py b/src/astroNN/shared/nn_tools.py
@@ -3,11 +3,15 @@
 # ---------------------------------------------------------#
 import datetime
 import os
-import keras
 import inspect
 import warnings
 from astroNN.config import _KERAS_BACKEND
 
+try:
+    import keras.src as keras
+except ModuleNotFoundError:
+    import keras
+
 # TODO: removed gpu_memory_manage() and gpu_availability() as they are not used in astroNN