Merge pull request #213 from sguttikon/master

Copyright + License changes to files in include folder - part2

README.md

@@ -77,6 +77,8 @@ You can also use the [older version](https://github.com/serizba/cppflow/tree/243
 ## Style guide
 
 We use the [Google's C++ style guide](https://google.github.io/styleguide/cppguide.html) using static code linker [cpplint](https://github.com/cpplint/cpplint).
+We use the [Google's Python style guide](https://google.github.io/styleguide/pyguide.html) using static code linker [pylint](https://pylint.pycqa.org/en/latest/user_guide/installation/index.html) using attached pylintrc configuration.
+
 
 ## Remark
 

examples/efficientnet/create_model.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python
+"""
+    Example for create model functionality.
+"""
 
 # MIT License
 #

examples/load_frozen_graph/create_model.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python
+"""
+    Example for a load frozen tf graph functionality.
+"""
 
 # MIT License
 #
@@ -41,10 +44,10 @@
     convert_variables_to_constants_v2,
 )
 
-input = tf.keras.Input(shape=(5,))
-output = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input)
-output = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid)(output)
-model = tf.keras.Model(inputs=input, outputs=output)
+input_1 = tf.keras.Input(shape=(5,))
+output_1 = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input_1)
+output_1 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid)(output_1)
+model = tf.keras.Model(inputs=input_1, outputs=output_1)
 
 # Create frozen graph
 x = tf.TensorSpec(model.input_shape, tf.float32, name="x")

examples/load_model/create_model.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python
+"""
+    Example for a load model functionality.
+"""
 
 # MIT License
 #
@@ -33,13 +36,12 @@
 
 # Imports
 import tensorflow as tf
-import numpy as np
 
-input = tf.keras.Input(shape=(5,))
+input_1 = tf.keras.Input(shape=(5,))
 
-output = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input)
-output = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid)(output)
-model = tf.keras.Model(inputs=input, outputs=output)
+output_1 = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input_1)
+output_1 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid)(output_1)
+model = tf.keras.Model(inputs=input_1, outputs=output_1)
 
 model.compile()
 

examples/load_model/main.cpp

@@ -25,8 +25,6 @@
 
 /*!
  *  @file       main.cpp
- *  @brief      A brief description here.
- *  @details    Define custom details for the file here.
  *  @author     Afaq Sabir
  *  @author     Florian
  *  @author     Paul Nykiel

examples/multi_input_output/create_model.py

@@ -1,4 +1,7 @@
 #!/usr/bin/env python
+"""
+    Example for a multiple inputs and outputs functionality.
+"""
 
 # MIT License
 #
@@ -33,16 +36,17 @@
 
 # Imports
 import tensorflow as tf
-import numpy as np
 
 input_1 = tf.keras.Input(shape=(5,), name='my_input_1')
 input_2 = tf.keras.Input(shape=(5,), name='my_input_2')
 
 x1 = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input_1)
 x2 = tf.keras.layers.Dense(5, activation=tf.nn.relu)(input_2)
 
-output_1 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid, name='my_outputs_1')(x1)
-output_2 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid, name='my_outputs_2')(x2)
+output_1 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid,
+                                 name='my_outputs_1')(x1)
+output_2 = tf.keras.layers.Dense(1, activation=tf.nn.sigmoid,
+                                 name='my_outputs_2')(x2)
 
 model = tf.keras.Model(inputs=[input_1, input_2], outputs=[output_1, output_2])
 

include/cppflow/model.h

@@ -26,7 +26,7 @@
 // SOFTWARE.
 
 /*!
- *  @file       cppflow.h
+ *  @file       model.h
  *  @author     Jiannan Liu
  *  @author     liufeng27
  *  @author     Paul

include/cppflow/ops.h

@@ -22,7 +22,7 @@
 // SOFTWARE.
 
 /*!
- *  @file       context.h
+ *  @file       ops.h
  *  @author     Jiannan Liu
  *  @author     Sergio Izquierdo
  *  @date       @showdate "%B %d, %Y" 2020-07-31