Renaming and updating of code docs (neuralmagic#5)

* Renaming and updating of code docs:
- nmie -> deepsparse
- Model -> Engine
- forward -> run

* - address comments
- refactor helper create_engine to compile_model

* address review comments to fix:
- more explanatory import error messages
- improper benchmarking constraints

* - add in mapped_run function

setup.cfg

@@ -3,7 +3,7 @@ default_section = FIRSTPARTY
 ensure_newline_before_comments = True
 force_grid_wrap = 0
 include_trailing_comma = True
-known_first_party = nmie
+known_first_party = deepsparse
 known_third_party =
 
 line_length = 88

setup.py

@@ -8,11 +8,13 @@
 # File regexes for binaries to include in package_data
 binary_regexes = ["*/*.so", "*/*.so.*", "*.bin", "*/*.bin"]
 
+
 class OverrideInstall(install):
     """
     This class adds a hook that runs after regular install that
     changes the permissions of all the binary files to 0755.
     """
+
     def run(self):
         install.run(self)
         mode = 0o755
@@ -28,20 +30,16 @@ def _setup_package_dir() -> Dict:
 
 def _setup_packages() -> List:
     return find_packages(
-        "src", include=["nmie", "nmie.*"], exclude=["*.__pycache__.*"]
+        "src", include=["deepsparse", "deepsparse.*"], exclude=["*.__pycache__.*"]
     )
 
 
 def _setup_package_data() -> Dict:
-    return {"nmie": binary_regexes}
+    return {"deepsparse": binary_regexes}
 
 
 def _setup_install_requires() -> List:
-    return [
-        "numpy>=1.16.3",
-        "onnx>=1.5.0,<1.8.0",
-        "requests>=2.0.0"
-    ]
+    return ["numpy>=1.16.3", "onnx>=1.5.0,<1.8.0", "requests>=2.0.0"]
 
 
 def _setup_extras() -> Dict:
@@ -57,12 +55,12 @@ def _setup_long_description() -> Tuple[str, str]:
 
 
 setup(
-    name="nmie",
+    name="deepsparse",
     version="0.1.0",
-    author="Bill Nell, Michael Goin, Mark Kurtz",
+    author="Bill Nell, Michael Goin, Mark Kurtz, Kevin Rodriguez, Benjamin Fineran",
     author_email="support@neuralmagic.com",
-    description="The high performance Neural Magic Inference Engine designed "
-    "for running deep learning on X86 CPU architectures",
+    description="The high performance DeepSparse Engine designed to achieve "
+    "GPU class performance for Neural Networks on commodity CPUs.",
     long_description=_setup_long_description()[0],
     long_description_content_type=_setup_long_description()[1],
     keywords="inference machine learning x86 x86_64 avx2 avx512 neural network",
@@ -77,7 +75,21 @@ def _setup_long_description() -> Tuple[str, str]:
     entry_points=_setup_entry_points(),
     python_requires=">=3.6.0",
     classifiers=[
-        "[TODO]"
+        "Development Status :: 3 - Alpha",
+        "Environment :: Console",
+        "Programming Language :: Python :: 3",
+        "Intended Audience :: Developers",
+        "Intended Audience :: Education",
+        "Intended Audience :: Information Technology",
+        "Intended Audience :: Science/Research",
+        "Operating System :: POSIX :: Linux",
+        "Programming Language :: Python :: 3",
+        "Programming Language :: Python :: 3 :: Only",
+        "Topic :: Scientific/Engineering",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+        "Topic :: Scientific/Engineering :: Mathematics",
+        "Topic :: Software Development",
+        "Topic :: Software Development :: Libraries :: Python Modules",
     ],
     cmdclass={"install": OverrideInstall},
 )

src/.gitignore

@@ -1,5 +1,5 @@
-nmie/avx2/
-nmie/avx512/
+deepsparse/avx2/
+deepsparse/avx512/
 arch.bin
 cpu.py
 version.py

src/deepsparse/__init__.py

@@ -0,0 +1,8 @@
+"""
+The DeepSparse package used to achieve GPU class performance
+for Neural Networks on commodity CPUs.
+"""
+
+# flake8: noqa
+
+from .engine import *