Whitespace updates and fixes (#201)

Author: diego-plan9

.clang-format

@@ -114,4 +114,3 @@ Standard:        Cpp11
 TabWidth:        8
 UseTab:          Never
 ...
-

.github/CONTRIBUTING.md

@@ -48,7 +48,7 @@ from the core team and contributions:
    > After the pull request is submitted, the maintainers will review your
    > contribution. This is a two-way conversation as well, with mutual feedback
    > and help in the hopes of getting the contribution ready to
-   > be merged. 
+   > be merged.
 
 6. Merging your contribution into the project.
 

CMakeLists.txt

@@ -115,4 +115,4 @@ if(BUILD_TEST)
     set_target_properties(${test_name} PROPERTIES FOLDER tests)
     add_dependencies(RPU_CPU GTest)
   endforeach()
-endif()
+endif()

docs/source/api/aihwkit.simulator.rpu_base.devices.rst

@@ -5,4 +5,3 @@ aihwkit.simulator.rpu\_base.devices module
    :members:
    :undoc-members:
    :show-inheritance:
-

docs/source/api/aihwkit.simulator.rpu_base.tiles.rst

@@ -5,4 +5,3 @@ aihwkit.simulator.rpu\_base.tiles module
    :members:
    :undoc-members:
    :show-inheritance:
-

docs/source/index.rst

@@ -107,4 +107,3 @@ Reference
 =========
 
 :ref:`genindex` | :ref:`modindex` | :ref:`search`
-

docs/source/using_experiments.rst

@@ -224,4 +224,3 @@ Retrieving a previous cloud experiment
 The list of experiments previously executed in the cloud can be retrieved via::
 
     cloud_experiments = my_cloud_runner.list_experiments()
-

docs/source/using_simulator.rst

@@ -356,19 +356,17 @@ To enable mixed-precision one defines for example the following ``rpu_config``::
 
     rpu_config = DigitalRankUpdateRPUConfig(
         device=SoftBoundsDevice(),
-
-	# make some adjustments of mixed-precision hyper parameter
+        # make some adjustments of mixed-precision hyper parameter
         granularity=0.001,
-	n_x_bins=15,
-	n_d_bins=31,
+        n_x_bins=15,
+        n_d_bins=31,
     )
 
     # use tile configuration in model
     model = AnalogLinear(4, 2, bias=True, rpu_config=rpu_config)
 
 Now this analog tile will use the mixed-precision optimizer with a
-soft bounds device model. 
-
+soft bounds device model.
 
 Analog presets
 --------------

src/aihwkit/cloud/converter/v1/mappings.py

@@ -215,7 +215,7 @@ class Mappings:
         LeakyReLU: Function('LeakyReLU', {
             'negative_slope': float
         }),
-        LogSigmoid: Function('LogSimoid', {}),
+        LogSigmoid: Function('LogSigmoid', {}),
         LogSoftmax: Function('LogSoftmax', {
             'dim': int
         }),