[DOC] Add setup.py, fix comments (#89)

* Add setup.py, fix comments

* Update installation document

docs/how_to/install.md

@@ -67,3 +67,12 @@ There are several ways to install the package:
     ```bash
     export PYTHONPATH=/path/to/tvm/python:${PYTHONPATH}
     ```
+
+2. Install tvm python bindings by `setup.py`:
+
+    ```bash
+    # install tvm package for the current user
+    cd python; python setup.py install --user
+    # or install tvm package system wide
+    cd python; sudo python setup.py install
+    ```

python/setup.py

+#! /usr/bin/env python
+# -*- coding: utf-8 -*-
+"""Setup tvm package."""
+from __future__ import absolute_import
+import os
+import sys
+import setuptools
+
+CURRENT_DIR = os.path.dirname(__file__)
+libinfo_py = os.path.join(CURRENT_DIR, 'tvm/libinfo.py')
+libinfo = {'__file__': libinfo_py}
+exec(compile(open(libinfo_py, 'rb').read(), libinfo_py, 'exec'), libinfo, libinfo)
+
+LIB_PATH = libinfo['find_lib_path']()
+__version__ = libinfo['__version__']
+
+setuptools.setup(
+    name='tvm',
+    version=__version__,
+    description='A domain specific language(DSL) for tensor computations.',
+    packages=setuptools.find_packages(),
+    install_requires=[
+        'numpy',
+        ],
+    data_files=[('tvm', [LIB_PATH[0]])]
+    )

python/tvm/_ctypes/_function.py

@@ -292,7 +292,7 @@ def register_func(func_name, f=None):
     func_name : str or function
         The function name
 
-    f : function
+    f : function, optional
         The function to be registered.
 
     Returns

python/tvm/build.py

@@ -27,14 +27,14 @@ def lower(sch,
     args : list of Buffer or Tensor or Var
         The argument lists to the function.
 
-    name : str
+    name : str, optional
         The name of result function.
 
     binds : dict, optional
         Dictionary that maps the binding of symbolic buffer to Tensor.
         By default, a new buffer is created for each tensor in the argument.
 
-    max_auto_unroll_step: int
+    max_auto_unroll_step: int, optional
         Maximum step to perform automatic unrolling
 
     Returns
@@ -86,26 +86,26 @@ def build(sch,
     sch : tvm.Schedule, or LoweredFunc
         The schedule to be builded
 
-    args : list of Buffer or Tensor or Var
+    args : list of Buffer or Tensor or Var, optional
         The argument lists to the function.
 
-    target : str
+    target : str, optional
         The target of the compilation.
 
-    target_host :
+    target_host : str, optional
         Host compilation target, if target is device.
 
-    name : str
+    name : str, optional
         The name of result function.
 
     binds : dict, optional
         Dictionary that maps the binding of symbolic buffer to Tensor.
         By default, a new buffer is created for each tensor in the argument.
 
-    max_auto_unroll_step: int
+    max_auto_unroll_step: int, optional
         Maximum step to perform automatic unrolling
 
-    detect_global_barrier: boolean
+    detect_global_barrier: boolean, optional
         Whether detect and inser global barrier
 
     Returns

python/tvm/ndarray.py

@@ -34,7 +34,7 @@ def array(arr, ctx=cpu(0)):
     arr : numpy.ndarray
         The array to be copied from
 
-    ctx : TVMContext
+    ctx : TVMContext, optional
         The device context to create the array
 
     Returns