more cleaning
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@@ -6,6 +6,9 @@ import setuptools.command.build_ext
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import setuptools
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import numpy as np
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import os
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import tempfile
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import shutil
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import hashlib
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src = """
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const tunable int TM = {128};
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@@ -46,55 +49,94 @@ void matmul(restrict read_only align(16) half *A,
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}
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"""
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extra_ops = tf.load_op_library('/home/philippe/development/triton/python/build/lib.linux-x86_64-3.6/libextra_tf_ops.so')
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with open('test.cpp', 'w+') as test:
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src = libtriton.make_tensorflow_src(src, [2], '(M + #TM - 1)/#TM, (N + #TN - 1)/#TN, 1')
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test.writelines(src)
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def make_bindings(src, outputs, grids):
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return libtriton.make_tensorflow_src(src, outputs, grids)
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triton_include_dirs = ['/home/philippe/development/triton/include']
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tensorflow_include_dirs = [tf.sysconfig.get_include()]
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cuda_include_dirs = ['/usr/local/cuda-10.1/targets/x86_64-linux/include/']
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def make_cache_path(src):
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md5 = hashlib.sha1(src.encode())
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hexhash = md5.hexdigest()
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home = os.path.expanduser('~')
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cacheroot = os.path.join(home, '.triton', 'cache')
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cachepath = os.path.join(cacheroot, str(hexhash))
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if not os.path.exists(cachepath):
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os.makedirs(cachepath)
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print(cachepath)
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return cachepath
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triton_library_dirs = [os.path.realpath(os.path.join(libtriton.__file__, os.path.pardir))]
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tensorflow_library_dirs = [tf.sysconfig.get_lib()]
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def write_bindings(src, root):
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cpp = os.path.join(root, 'tensorflow.cpp')
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so = os.path.join(root, 'tensorflow.so')
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recompile = False
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# recompile if .so does not exist
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if not os.path.exists(cpp) or not os.path.exists(so):
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recompile = True
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# recompile if cpp was modified after .so
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elif max(cpp, so, key=os.path.getctime) == cpp:
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recompile = True
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# write cpp file
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if recompile:
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with open(cpp, 'w+') as handle:
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handle.writelines(src)
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# return path of cpp file
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return cpp
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def build(src, path):
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# include directories
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triton_include_dirs = ['/home/philippe/development/triton/include']
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tensorflow_include_dirs = [tf.sysconfig.get_include()]
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cuda_include_dirs = ['/usr/local/cuda-10.1/targets/x86_64-linux/include/']
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include_dirs = triton_include_dirs + tensorflow_include_dirs + cuda_include_dirs
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# library directories
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triton_library_dirs = [os.path.realpath(os.path.join(libtriton.__file__, os.path.pardir))]
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tensorflow_library_dirs = [tf.sysconfig.get_lib()]
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library_dirs = triton_library_dirs + tensorflow_library_dirs
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# libraries
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libraries = ['tensorflow_framework', 'triton']
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# extra arguments
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extra_compile_args = []
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extra_link_args = []
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# create extension module
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ext = setuptools.Extension(
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name = 'test',
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language = 'c++',
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sources = [src],
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include_dirs = include_dirs,
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extra_compile_args = extra_compile_args,
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extra_link_args = extra_link_args,
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library_dirs = library_dirs,
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libraries = libraries
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)
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# build extension module
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args = ['build_ext']
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tmp = tempfile.mkdtemp()
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args.append('--build-temp=' + tmp)
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args.append('--build-lib=' + path)
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args.append('-q')
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args = dict(
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name = 'test',
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ext_modules = [ext],
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script_args = args,
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)
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setuptools.setup(**args)
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shutil.rmtree(tmp)
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include_dirs = triton_include_dirs + tensorflow_include_dirs + cuda_include_dirs
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extra_compile_args = []
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extra_link_args = []
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library_dirs = triton_library_dirs + tensorflow_library_dirs
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libraries = ['tensorflow_framework', 'triton']
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def make_tensorflow_op(src, outputs, grids):
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bindings = make_bindings(src, outputs, grids)
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cache_path = make_cache_path(bindings)
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cpp = write_bindings(bindings, cache_path)
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build(cpp, cache_path)
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result = tf.load_op_library(os.path.join(cache_path, 'test.cpython-36m-x86_64-linux-gnu.so'))
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return result
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ext = setuptools.Extension(
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name = 'test',
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language = 'c++',
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sources = ['/home/philippe/development/triton/python/examples/test.cpp'],
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include_dirs = include_dirs,
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extra_compile_args = extra_compile_args,
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extra_link_args = extra_link_args,
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library_dirs = library_dirs,
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libraries = libraries
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)
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build_path = '.'
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args = ['build_ext']
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#args.append('--build-temp=' + build_path)
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#args.append('--build-lib=' + build_path)
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args.append('-q')
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args = dict(
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name = 'test',
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ext_modules = [ext],
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script_args = args,
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cmdclass = {
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'build_ext': setuptools.command.build_ext.build_ext
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}
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)
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setuptools.setup(**args)
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library_dir = os.path.dirname(os.path.realpath(__file__))
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module = tf.load_op_library(os.path.join(library_dir, 'build/lib.linux-x86_64-3.6/test.cpython-36m-x86_64-linux-gnu.so'))
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module = make_tensorflow_op(src, ['C'], ['(M + #TM - 1)/#TM', '(N + #TN - 1)/#TN'])
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print(module.matmul)
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class dot:
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