Pypi 1.0.0 version

MANIFEST

@@ -0,0 +1,15 @@
+# file GENERATED by distutils, do NOT edit
+setup.py
+dnnmodels/__init__.py
+dnnmodels/conv2d.py
+dnnmodels/flatten.py
+dnnmodels/fully_connected.py
+dnnmodels/get_model.py
+dnnmodels/layer.py
+dnnmodels/lrn.py
+dnnmodels/max_pool.py
+dnnmodels/mlp.py
+dnnmodels/relu.py
+dnnmodels/softmax.py
+dnnmodels/train_graph.py
+dnnmodels/utils.py

README.MD

@@ -7,7 +7,7 @@ The inspiration comes from [Cleverhans](https://github.com/tensorflow/cleverhans
 
 ## ``` pip ``` Installation: 
 
-``` pip install -e git+https://github.com/NullConvergence/dnn-models#egg=dnn-models ```
+``` pip install pip install dnnmodels ```
 
 ## Manual Installation
 

examples/mnist_train.py

@@ -1,16 +1,7 @@
-# relative imports
-# import sys
-# import os
-# PACKAGE_PARENT = '..'
-# SCRIPT_DIR = os.path.dirname(os.path.realpath(
-#     os.path.join(os.getcwd(), os.path.expanduser(__file__))))
-# sys.path.append(os.path.normpath(os.path.join(SCRIPT_DIR, PACKAGE_PARENT)))
-
-
 import tensorflow as tf
 from cleverhans.utils_mnist import data_mnist
-from dnn_models.get_model import basic_cnn
-from dnn_models.train_graph import Trainer
+from dnnmodels.get_model import basic_cnn
+from dnnmodels.train_graph import Trainer
 
 # create session
 sess = tf.Session()

setup.py

@@ -1,17 +1,18 @@
-from setuptools import setup
-from setuptools import find_packages
+from distutils.core import setup
 
 with open("README.md", "r") as fh:
     long_description = fh.read()
 
 setup(name='dnnmodels',
       version='1.0.0',
       url='https://github.com/NullConvergence/dnnmodels',
+      download_url='https://github.com/NullConvergence/dnnmodels/archive/1.0.0.tar.gz',
       license='MIT',
       author='NullConvergence',
+      author_email='nullconvergence@anonymous.ne',
       description="Simple models inspired by Cleverhans that help create DNN Architectures",
       install_requires=[
           'cleverhans',
           'tensorflow'
       ],
-      packages=find_packages())
+      packages=['dnnmodels'])