less mandatory dependency

Author: calad0i

hls4ml/model/profiling.py

@@ -33,11 +33,11 @@
 except ImportError:
     __qkeras_profiling_enabled__ = False
 
-_activations = list()
+__keras_activations = list()
 if __keras_profiling_enabled__:
-    _activations.append(keras.layers.Activation)
+    __keras_activations.append(keras.layers.Activation)
 if __qkeras_profiling_enabled__:
-    _activations.append(qkeras.qactivations)
+    __keras_activations.append(qkeras.QActivation)
 
 
 def get_unoptimized_hlsmodel(model):
@@ -602,7 +602,7 @@ def get_ymodel_keras(keras_model, X):
         if (
             hasattr(layer, 'activation')
             and layer.activation is not None
-            and not isinstance(layer, _activations)
+            and not isinstance(layer, tuple(__keras_activations))
             and layer.activation.__name__ != 'linear'
         ):
             tmp_activation = layer.activation

hls4ml/report/quartus_report.py

@@ -2,9 +2,6 @@
 import webbrowser
 from ast import literal_eval
 
-from calmjs.parse import asttypes, es5
-from tabulate import tabulate
-
 
 def parse_quartus_report(hls_dir, write_to_file=True):
     '''
@@ -53,6 +50,8 @@ def read_quartus_report(hls_dir, open_browser=False):
     Returns:
         None
     '''
+    from tabulate import tabulate
+
     report = parse_quartus_report(hls_dir)
 
     print('HLS Resource Summary\n')
@@ -100,6 +99,7 @@ def read_js_object(js_script):
     Returns:
         Dictionary of variables defines in script
     '''
+    from calmjs.parse import asttypes, es5
 
     def visit(node):
         if isinstance(node, asttypes.Program):

setup.cfg

@@ -22,16 +22,9 @@ description_file = README.md
 [options]
 packages = find:
 install_requires =
-    calmjs.parse
     h5py
     numpy
-    onnx>=1.4.0
-    pydigitalwavetools==1.1
     pyyaml
-    qkeras
-    tabulate
-    tensorflow
-    tensorflow-model-optimization<=0.7.5
 python_requires = >=3.10
 include_package_data = True
 scripts = scripts/hls4ml
@@ -51,14 +44,24 @@ profiling =
     matplotlib
     pandas
     seaborn
+qkeras =
+    qkeras
+    tensorflow
+    tensorflow-model-optimization<=0.7.5
+quantus_report =
+    calmjs.parse
+    tabulate
 sr =
     sympy
 testing =
     HGQ~=0.2.0
+    calmjs.parse
+    onnx>=1.4.0
     pytest
     pytest-cov
     pytest-randomly
     qonnx
+    tabulate
     torch
 
 [check-manifest]