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apache--tvm/python/setup.py
T
Tianqi Chen 55bd786fe2 [REFACTOR][RUNTIME] Update NDArray use the Unified Object System (#4581)
* [REFACTOR][RUNTIME] Move NDArray to Object System.

Previously NDArray has its own object reference counting mechanism.
This PR migrates NDArray to the unified object protocol.

The calling convention of NDArray remained intact.
That means NDArray still has its own type_code and
its handle is still DLTensor compatible.

In order to do so, this PR added a few minimum runtime type
detection in TVMArgValue and RetValue only when the corresponding
type is a base type(ObjectRef) that could also refer to NDArray.

This means that even if we return a base reference object ObjectRef
which refers to the NDArray. The type_code will still be translated
correctly as kNDArrayContainer.
If we assign a non-base type(say Expr) that we know is not compatible
with NDArray during compile time, no runtime type detection will be performed.

This PR also adopts the object protocol for NDArray sub-classing and
removed the legacy NDArray subclass protocol.
Examples in apps/extension are now updated to reflect that.

Making NDArray as an Object brings all the benefits of the object system.
For example, we can now use the Array container to store NDArrays.

* Address review comments
2019-12-29 22:16:27 -08:00

187 lines
5.9 KiB
Python

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# to you under the Apache License, Version 2.0 (the
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#
# Unless required by applicable law or agreed to in writing,
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# KIND, either express or implied. See the License for the
# specific language governing permissions and limitations
# under the License.
# pylint: disable=invalid-name, exec-used
"""Setup TVM package."""
from __future__ import absolute_import
import os
import shutil
import sys
import sysconfig
import platform
from setuptools import find_packages
from setuptools.dist import Distribution
# need to use distutils.core for correct placement of cython dll
if "--inplace" in sys.argv:
from distutils.core import setup
from distutils.extension import Extension
else:
from setuptools import setup
from setuptools.extension import Extension
CURRENT_DIR = os.path.dirname(__file__)
def get_lib_path():
"""Get library path, name and version"""
# We can not import `libinfo.py` in setup.py directly since __init__.py
# Will be invoked which introduces dependences
libinfo_py = os.path.join(CURRENT_DIR, './tvm/_ffi/libinfo.py')
libinfo = {'__file__': libinfo_py}
exec(compile(open(libinfo_py, "rb").read(), libinfo_py, 'exec'), libinfo, libinfo)
version = libinfo['__version__']
if not os.getenv('CONDA_BUILD'):
lib_path = libinfo['find_lib_path']()
libs = [lib_path[0]]
if libs[0].find("runtime") == -1:
for name in lib_path[1:]:
if name.find("runtime") != -1:
libs.append(name)
break
else:
libs = None
return libs, version
LIB_LIST, __version__ = get_lib_path()
def config_cython():
"""Try to configure cython and return cython configuration"""
if os.name == 'nt':
print("WARNING: Cython is not supported on Windows, will compile without cython module")
return []
sys_cflags = sysconfig.get_config_var("CFLAGS")
if "i386" in sys_cflags and "x86_64" in sys_cflags:
print("WARNING: Cython library may not be compiled correctly with both i386 and x64")
return []
try:
from Cython.Build import cythonize
# from setuptools.extension import Extension
if sys.version_info >= (3, 0):
subdir = "_cy3"
else:
subdir = "_cy2"
ret = []
path = "tvm/_ffi/_cython"
if os.name == 'nt':
library_dirs = ['tvm', '../build/Release', '../build']
libraries = ['libtvm']
else:
library_dirs = None
libraries = None
for fn in os.listdir(path):
if not fn.endswith(".pyx"):
continue
ret.append(Extension(
"tvm._ffi.%s.%s" % (subdir, fn[:-4]),
["tvm/_ffi/_cython/%s" % fn],
include_dirs=["../include/",
"../3rdparty/dmlc-core/include",
"../3rdparty/dlpack/include",
],
extra_compile_args=["-std=c++11"],
library_dirs=library_dirs,
libraries=libraries,
language="c++"))
return cythonize(ret, compiler_directives={"language_level": 3})
except ImportError:
print("WARNING: Cython is not installed, will compile without cython module")
return []
class BinaryDistribution(Distribution):
def has_ext_modules(self):
return True
def is_pure(self):
return False
include_libs = False
wheel_include_libs = False
if not os.getenv('CONDA_BUILD'):
if "bdist_wheel" in sys.argv:
wheel_include_libs = True
else:
include_libs = True
setup_kwargs = {}
# For bdist_wheel only
if wheel_include_libs:
with open("MANIFEST.in", "w") as fo:
for path in LIB_LIST:
shutil.copy(path, os.path.join(CURRENT_DIR, 'tvm'))
_, libname = os.path.split(path)
fo.write("include tvm/%s\n" % libname)
setup_kwargs = {
"include_package_data": True
}
if include_libs:
curr_path = os.path.dirname(os.path.abspath(os.path.expanduser(__file__)))
for i, path in enumerate(LIB_LIST):
LIB_LIST[i] = os.path.relpath(path, curr_path)
setup_kwargs = {
"include_package_data": True,
"data_files": [('tvm', LIB_LIST)]
}
def get_package_data_files():
# Relay standard libraries
return ['relay/std/prelude.rly']
setup(name='tvm',
version=__version__,
description="TVM: An End to End Tensor IR/DSL Stack for Deep Learning Systems",
zip_safe=False,
install_requires=[
'numpy',
'decorator',
'attrs',
'psutil',
],
extras_require={'test': ['pillow',
'matplotlib'],
'extra_feature': ['tornado',
'psutil',
'xgboost',
'mypy',
'orderedset',
'antlr4-python3-runtime']},
packages=find_packages(),
package_dir={'tvm': 'tvm'},
package_data={'tvm': get_package_data_files()},
distclass=BinaryDistribution,
url='https://github.com/apache/incubator-tvm',
ext_modules=config_cython(),
**setup_kwargs)
if wheel_include_libs:
# Wheel cleanup
os.remove("MANIFEST.in")
for path in LIB_LIST:
_, libname = os.path.split(path)
os.remove("tvm/%s" % libname)