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paddlepaddle--paddle/python/setup.py.in
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wehub-resource-sync e25996e7db chore: import upstream snapshot with attribution
2026-07-13 12:40:42 +08:00

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from __future__ import annotations
import subprocess
import os
import os.path
import errno
import re
import shutil
import sys
import fnmatch
import errno
import platform
import glob
import shlex
import ctypes
from contextlib import contextmanager
from pathlib import Path
from setuptools import Command
from setuptools import setup, Distribution, Extension
from setuptools.command.install import install as InstallCommandBase
from setuptools.command.egg_info import egg_info
class BinaryDistribution(Distribution):
def has_ext_modules(foo):
return True
RC = 0
ext_name = '.dll' if os.name == 'nt' else ('.dylib' if sys.platform == 'darwin' else '.so')
def git_commit() -> str:
try:
cmd = ['git', 'rev-parse', 'HEAD']
git_commit = subprocess.Popen(cmd, stdout = subprocess.PIPE,
cwd="@PADDLE_SOURCE_DIR@").communicate()[0].strip()
except:
git_commit = 'Unknown'
git_commit = git_commit.decode()
return str(git_commit)
def _get_readme_github_ref() -> str:
commit = git_commit()
if commit != 'Unknown':
return commit
if re.fullmatch(r'@TAG_VERSION_REGEX@', '@PADDLE_VERSION@'):
return 'v@PADDLE_VERSION@'
return 'develop'
def _convert_readme_relative_paths_for_pypi(readme: str) -> str:
ref = _get_readme_github_ref()
github_blob_url = f'https://github.com/PaddlePaddle/Paddle/blob/{ref}/'
github_raw_url = f'https://raw.githubusercontent.com/PaddlePaddle/Paddle/{ref}/'
# Convert markdown ](./...) links to GitHub blob URLs.
readme = re.sub(
r'\]\(\./([^)]+)\)',
lambda match: f']({github_blob_url}{match.group(1)})',
readme,
)
# Convert HTML src="./..." paths to GitHub raw URLs.
readme = re.sub(
r'(src=)(["\'])\./([^"\']+)\2',
lambda match: (
f'{match.group(1)}{match.group(2)}{github_raw_url}'
f'{match.group(3)}{match.group(2)}'
),
readme,
flags=re.IGNORECASE,
)
# Convert HTML href="./..." links to GitHub blob URLs.
readme = re.sub(
r'(href=)(["\'])\./([^"\']+)\2',
lambda match: (
f'{match.group(1)}{match.group(2)}{github_blob_url}'
f'{match.group(3)}{match.group(2)}'
),
readme,
flags=re.IGNORECASE,
)
return readme
def _get_version_detail(idx):
assert idx < 3, "version info consists of %(major)d.%(minor)d.%(patch)d, \
so detail index must less than 3"
if re.match(r'@TAG_VERSION_REGEX@', '@PADDLE_VERSION@'):
version_details = '@PADDLE_VERSION@'.split('.')
if len(version_details) >= 3:
return version_details[idx]
return 0
def get_major() -> int:
return int(_get_version_detail(0))
def get_minor() -> int:
return int(_get_version_detail(1))
def get_nccl_version() -> int:
if '@WITH_NCCL@' == 'ON':
return @NCCL_VERSION@
return 0
def get_patch() -> str:
return str(_get_version_detail(2))
def get_cuda_version() -> str:
if '@WITH_GPU@' == 'ON':
return '@CUDA_VERSION@'
else:
return 'False'
def get_hip_version() -> str | None:
with_hip = '@WITH_ROCM@'
if with_hip == 'ON':
return str('@HIP_VERSION@')
else:
return None
def get_cudnn_version() -> str:
if '@WITH_GPU@' == 'ON':
temp_cudnn_version = ''
if '@CUDNN_MAJOR_VERSION@':
temp_cudnn_version += '@CUDNN_MAJOR_VERSION@'
if '@CUDNN_MINOR_VERSION@':
temp_cudnn_version += '.@CUDNN_MINOR_VERSION@'
if '@CUDNN_PATCHLEVEL_VERSION@':
temp_cudnn_version += '.@CUDNN_PATCHLEVEL_VERSION@'
return temp_cudnn_version
else:
return 'False'
def get_xpu_xre_version() -> str:
if '@WITH_XPU@' == 'ON':
return '@XPU_XRE_BASE_VERSION@'
else:
return 'False'
def get_xpu_xccl_version() -> str:
if '@WITH_XPU_BKCL@' == 'ON':
return '@XPU_XCCL_BASE_VERSION@'
else:
return 'False'
def get_xpu_xhpc_version() -> str:
if '@WITH_XPU@' == 'ON':
return '@XPU_XHPC_BASE_DATE@'
else:
return 'False'
def is_tagged() -> bool:
try:
cmd = ['git', 'describe', '--exact-match', '--tags', 'HEAD', '2>/dev/null']
git_tag = subprocess.Popen(cmd, stdout = subprocess.PIPE, cwd="@PADDLE_SOURCE_DIR@").communicate()[0].strip()
git_tag = git_tag.decode()
except:
return False
if str(git_tag).replace('v', '') == '@PADDLE_VERSION@':
return True
else:
return False
def get_cinn_version() -> str:
if '@WITH_CINN@' != 'ON':
return "False"
return "0.3.0"
def get_cuda_archs() -> list[int]:
compiled_cuda_archs = '@COMPILED_CUDA_ARCHS@'
if isinstance(compiled_cuda_archs, str):
compiled_cuda_archs = re.findall(r'\d+', compiled_cuda_archs)
return [int(arch) for arch in compiled_cuda_archs]
else:
return []
def get_tensorrt_version() -> str:
def find_libnvinfer():
"""Search for libnvinfer.so file in LD_LIBRARY_PATH."""
tensorrt_library_path='@TENSORRT_LIBRARY_DIR@'
trt_infer_rt_path='@TR_INFER_RT@'
libnvinfer_file =os.path.join(tensorrt_library_path,trt_infer_rt_path)
if os.path.exists(libnvinfer_file):
return libnvinfer_file
else:
print(f"{libnvinfer_file} not found.")
return None
try:
libnvinfer_path = find_libnvinfer()
if not libnvinfer_path:
return None
trt = ctypes.CDLL(libnvinfer_path)
get_version =trt.getInferLibVersion
get_version.restype = ctypes.c_int
version = get_version()
version_str = str(version)
major = version_str[:1] if len(version_str) > 1 else version_str
minor = version_str[1:2] if len(version_str) > 3 else version_str[1:]
patch = version_str[3:] if len(version_str) > 3 else ''
minor = minor if minor else '0'
patch = patch if patch else '0'
version_str = f"{major}.{minor}.{patch}"
return version_str
except Exception as e:
print(f"Error while getting TensorRT version: {e}")
return None
def get_paddle_version() -> str:
return '@PADDLE_VERSION@'
def write_version_py(filename='paddle/version/__init__.py'):
cnt = '''# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
import inspect
full_version = '%(paddle_version)s'
major = '%(major)d'
minor = '%(minor)d'
patch = '%(patch)s'
nccl_version = '%(nccl)d'
rc = '%(rc)d'
cuda_version = '%(cuda)s'
cudnn_version = '%(cudnn)s'
hip_version = %(hip)s
xpu_xre_version = '%(xpu_xre)s'
xpu_xccl_version = '%(xpu_xccl)s'
xpu_xhpc_version = '%(xpu_xhpc)s'
is_tagged = %(is_tagged)s
commit = '%(commit)s'
with_mkl = '%(with_mkl)s'
with_hml = '%(with_hml)s'
cinn_version = '%(cinn)s'
tensorrt_version = '%(tensorrt)s'
with_pip_cuda_libraries = '%(with_pip_cuda_libraries)s'
with_pip_tensorrt ='%(with_pip_tensorrt)s'
compiled_cuda_archs = %(compiled_cuda_archs)s
__all__ = ['cuda', 'cudnn', 'nccl', 'show', 'xpu', 'xpu_xre', 'xpu_xccl', 'xpu_xhpc', 'tensorrt', 'cuda_archs', 'hip']
def show() -> None:
"""Get the version of paddle if `paddle` package if tagged. Otherwise, output the corresponding commit id.
Returns:
If paddle package is not tagged, the commit-id of paddle will be output.
Otherwise, the following information will be output.
full_version: version of paddle
major: the major version of paddle
minor: the minor version of paddle
patch: the patch level version of paddle
rc: whether it's rc version
cuda: the cuda version of package. It will return `False` if CPU version paddle package is installed
cudnn: the cudnn version of package. It will return `False` if CPU version paddle package is installed
xpu_xre: the xpu xre version of package. It will return `False` if non-XPU version paddle package is installed
xpu_xccl: the xpu xccl version of package. It will return `False` if non-XPU version paddle package is installed
xpu_xhpc: the xpu xhpc version of package. It will return `False` if non-XPU version paddle package is installed
cinn: the cinn version of package. It will return `False` if paddle package is not compiled with CINN
Examples:
.. code-block:: pycon
>>> import paddle
>>> # Case 1: paddle is tagged with 2.2.0
>>> paddle.version.show()
>>> # doctest: +SKIP('Different environments yield different output.')
full_version: 2.2.0
major: 2
minor: 2
patch: 0
rc: 0
cuda: '10.2'
cudnn: '7.6.5'
xpu_xre: '4.32.0.1'
xpu_xccl: '1.0.7'
xpu_xhpc: '20231208'
cinn: False
>>> # doctest: -SKIP
>>> # Case 2: paddle is not tagged
>>> paddle.version.show()
>>> # doctest: +SKIP('Different environments yield different output.')
commit: cfa357e984bfd2ffa16820e354020529df434f7d
cuda: '10.2'
cudnn: '7.6.5'
xpu_xre: '4.32.0.1'
xpu_xccl: '1.0.7'
xpu_xhpc: '20231208'
cinn: False
>>> # doctest: -SKIP
"""
if is_tagged:
print('full_version:', full_version)
print('major:', major)
print('minor:', minor)
print('patch:', patch)
print('rc:', rc)
else:
print('commit:', commit)
print('cuda:', cuda_version)
print('cudnn:', cudnn_version)
print('hip:', hip_version)
print('nccl:', nccl_version)
print('xpu_xre:', xpu_xre_version)
print('xpu_xccl:', xpu_xccl_version)
print('xpu_xhpc:', xpu_xhpc_version)
print('cinn:', cinn_version)
print('tensorrt:', tensorrt_version)
print('cuda_archs:', compiled_cuda_archs)
def mkl() -> str:
return with_mkl
def hml() -> str:
return with_hml
def nccl() -> str:
"""Get nccl version of paddle package.
Returns:
string: Return the version information of cuda nccl. If paddle package is CPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.nccl()
>>> # doctest: +SKIP('Different environments yield different output.')
'2804'
"""
return nccl_version
import inspect
CUDA_FUNC_DOC = """Get cuda version of paddle package.
Returns:
string: Return the version information of cuda. If paddle package is CPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.cuda()
>>> # doctest: +SKIP('Different environments yield different output.')
'10.2'
"""
class CudaVersion(str):
def __new__(cls, version: str):
return super().__new__(cls, version)
def __call__(self) -> str:
# When users check for GPU devices using paddle.version.cuda is None, we cannot align this behavior with other frameworks .
# Note: This discrepancy arises because the is operator checks for object identity (memory address equality) rather than value equality.
return str(self)
def __repr__(self) -> str:
return f"CudaVersion('{self}')"
@property
def __doc__(self):
return CUDA_FUNC_DOC
@property
def __signature__(self):
return inspect.Signature(
parameters=[],
return_annotation=str
)
cuda = CudaVersion(cuda_version)
def cudnn() -> str:
"""Get cudnn version of paddle package.
Returns:
string: Return the version information of cudnn. If paddle package is CPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.cudnn()
>>> # doctest: +SKIP('Different environments yield different output.')
'7.6.5'
"""
return cudnn_version
def xpu() -> str:
"""Get xpu version of paddle package. The API is deprecated now, please use xpu_xhpc() instead.
Returns:
string: Return the version information of xpu. If paddle package is non-XPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.xpu()
>>> # doctest: +SKIP('Different environments yield different output.')
'20230114'
"""
return xpu_xhpc_version
def xpu_xre() -> str:
"""Get xpu xre version of paddle package.
Returns:
string: Return the version information of xpu. If paddle package is non-XPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.xpu_xre()
>>> # doctest: +SKIP('Different environments yield different output.')
'4.32.0.1'
"""
return xpu_xre_version
def xpu_xccl() -> str:
"""Get xpu xccl version of paddle package.
Returns:
string: Return the version information of xpu xccl. If paddle package is non-XPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.xpu_xccl()
>>> # doctest: +SKIP('Different environments yield different output.')
'1.0.7'
"""
return xpu_xccl_version
def xpu_xhpc() -> str:
"""Get xpu xhpc version of paddle package.
Returns:
string: Return the version information of xpu xhpc. If paddle package is non-XPU version, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.xpu_xhpc()
>>> # doctest: +SKIP('Different environments yield different output.')
'20231208'
"""
return xpu_xhpc_version
def cinn() -> str:
"""Get CINN version of paddle package.
Returns:
string: Return the version information of CINN. If paddle package is not compiled with CINN, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.cinn()
>>> # doctest: +SKIP('Different environments yield different output.')
False
"""
return cinn_version
def tensorrt() -> str:
"""Get TensorRT version of paddle package.
Returns:
string: Return the version information of TensorRT. If paddle package is not compiled with TensorRT, it will return False.
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.tensorrt()
>>> # doctest: +SKIP('Different environments yield different output.')
False
"""
return tensorrt_version
hip = hip_version
def cuda_archs():
"""Get compiled cuda archs of paddle package.
Returns:
list[int]: Return the compiled cuda archs if with gpu. If paddle package is not compiled with gpu, it will return "".
Examples:
.. code-block:: pycon
>>> import paddle
>>> paddle.version.cuda_archs()
>>> # doctest: +SKIP('Different environments yield different output.')
[86]
"""
return compiled_cuda_archs
'''
commit = git_commit()
dirname = os.path.dirname(filename)
try:
os.makedirs(dirname)
except OSError as e:
if e.errno != errno.EEXIST:
raise
with open(filename, 'w') as f:
f.write(cnt % {
'paddle_version': get_paddle_version(),
'major': get_major(),
'minor': get_minor(),
'patch': get_patch(),
'nccl': get_nccl_version(),
'rc': RC,
'version': '${PADDLE_VERSION}',
'cuda': get_cuda_version(),
'cudnn': get_cudnn_version(),
'hip': get_hip_version(),
'xpu_xre': get_xpu_xre_version(),
'xpu_xccl': get_xpu_xccl_version(),
'xpu_xhpc': get_xpu_xhpc_version(),
'commit': commit,
'is_tagged': is_tagged(),
'with_mkl': '@WITH_MKL@',
'with_hml': '@WITH_HML@',
'cinn': get_cinn_version(),
'tensorrt': get_tensorrt_version(),
'with_pip_tensorrt': '@WITH_PIP_TENSORRT@',
'compiled_cuda_archs': get_cuda_archs(),
'with_pip_cuda_libraries': '@WITH_PIP_CUDA_LIBRARIES@'})
def get_cinn_config_jsons():
from pathlib import Path
src_cinn_config_path = '${PADDLE_SOURCE_DIR}/python/paddle/cinn_config'
prefix_len = len(src_cinn_config_path) + 1
p = Path(src_cinn_config_path)
json_list = list(p.glob('**/*.json'))
json_path_list = []
for json in json_list:
json = str(json)
json = json[prefix_len:]
json_path_list += [json]
return json_path_list
def get_apy_files():
from pathlib import Path
apy_path = '${PADDLE_BINARY_DIR}/python/paddle/apy/'
prefix_len = len(apy_path)
p = Path(apy_path)
file_list = []
for path in p.rglob('*'):
if path.is_file():
relative_path = str(path)[prefix_len:]
file_list.append(relative_path)
return file_list
write_version_py(filename='@PADDLE_BINARY_DIR@/python/paddle/version/__init__.py')
def write_cuda_env_config_py(filename='paddle/cuda_env.py'):
cnt = ""
if '${JIT_RELEASE_WHL}' == 'ON':
cnt = '''# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
#
import os
os.environ['CUDA_CACHE_MAXSIZE'] = '805306368'
'''
with open(filename, 'w') as f:
f.write(cnt)
write_cuda_env_config_py(filename='@PADDLE_BINARY_DIR@/python/paddle/cuda_env.py')
def write_distributed_training_mode_py(filename='paddle/incubate/distributed/fleet/parameter_server/version.py'):
cnt = '''
# THIS FILE IS GENERATED FROM PADDLEPADDLE SETUP.PY
from paddle.incubate.distributed.fleet.base import Mode
BUILD_MODE=Mode.%(mode)s
def is_transpiler():
return Mode.TRANSPILER == BUILD_MODE
'''
dirname = os.path.dirname(filename)
try:
os.makedirs(dirname)
except OSError as e:
if e.errno != errno.EEXIST:
raise
with open(filename, 'w') as f:
f.write(cnt % {
'mode': 'TRANSPILER'
})
write_distributed_training_mode_py(filename='@PADDLE_BINARY_DIR@/python/paddle/incubate/distributed/fleet/parameter_server/version.py')
def get_paddle_extra_install_requirements():
#(Note risemeup1): Paddle will install the pypi cuda package provided by Nvidia, which includes the cuda runtime, cudnn, and cublas. Additionally, it now supports the installation of TensorRT, further enhancing its functionality. This integration simplifies the process as the operation of 'pip install paddle' is no longer dependent on the separate installation of cuda, cudnn, or TensorRT.
paddle_cuda_requires = []
paddle_tensorrt_requires = []
cuda_major_version = None
if '@WITH_PIP_CUDA_LIBRARIES@' == 'ON':
if platform.system() == 'Linux':
PADDLE_CUDA_INSTALL_REQUIREMENTS = {
"11.8": (
"nvidia-cuda-runtime-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu11==11.8.87; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu11==8.9.6.50; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu11==11.11.3.6; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu11==10.9.0.58; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu11==10.3.0.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu11==11.4.1.48; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu11==11.7.5.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu11==2.19.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu11==11.8.86; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-nvrtc-cu11==11.8.89; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.3": (
"nvidia-cuda-runtime-cu12==12.3.101; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.3.101; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==9.1.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.3.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.28.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-nvrtc-cu12==12.3.107; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.4": (
"nvidia-cuda-nvrtc-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-runtime-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==9.1.0.70; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.4.5.8; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.2.1.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.5.147; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.6.1.9; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.3.1.170; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparselt-cu12==0.6.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.28.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvjitlink-cu12==12.4.127; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.6": (
"nvidia-cuda-nvrtc-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-runtime-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.6.80; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==9.5.1.17; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.6.4.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.3.0.4; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.7.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.7.1.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.5.4.2; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.25.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.6.77; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvjitlink-cu12==12.6.85; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufile-cu12==1.11.1.6; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.8": (
"nvidia-cuda-nvrtc-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-runtime-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.8.57; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==9.7.1.26; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.8.3.14; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.3.3.41; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.9.55; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.7.2.55; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.5.7.53; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparselt-cu12==0.6.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.28.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.8.55; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvjitlink-cu12==12.8.61; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufile-cu12==1.13.0.11; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"12.9": (
"nvidia-cuda-nvrtc-cu12==12.9.41; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-runtime-cu12==12.9.37; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cuda-cupti-cu12==12.9.19; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cudnn-cu12==9.9.0.52; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cublas-cu12==12.9.0.13; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufft-cu12==11.4.0.6; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-curand-cu12==10.3.10.19; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusolver-cu12==11.7.4.40; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparse-cu12==12.5.9.5; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cusparselt-cu12==0.7.1; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nccl-cu12==2.28.3; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvtx-cu12==12.9.19; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-nvjitlink-cu12==12.9.41; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"nvidia-cufile-cu12==1.14.0.30; platform_system == 'Linux' and platform_machine == 'x86_64' | "
"cuda-python==12.9.4; platform_system == 'Linux' and platform_machine == 'x86_64'"
),
"13.0": (
"cuda-toolkit[cudart,cufft,cufile,cupti,curand,cusolver,cusparse,nvjitlink,nvrtc,nvtx]==13.0.2; platform_system == 'Linux' | "
"nvidia-cublas<=13.1.1.3,>=13.1.0.3; platform_system == 'Linux' | "
"nvidia-cudnn-cu13==9.20.0.48; platform_system == 'Linux' | "
"nvidia-cusparselt-cu13==0.8.1; platform_system == 'Linux' | "
"nvidia-nccl-cu13==2.29.7; platform_system == 'Linux' | "
"cuda-python==13.0.3; platform_system == 'Linux'"
),
"13.2": (
"cuda-toolkit[cublas,cudart,cufft,cufile,cupti,curand,cusolver,cusparse,nvjitlink,nvrtc,nvtx]==13.2.1; platform_system == 'Linux' | "
"nvidia-cudnn-cu13==9.20.0.48; platform_system == 'Linux' | "
"nvidia-cusparselt-cu13==0.8.1; platform_system == 'Linux' | "
"nvidia-nccl-cu13==2.29.7; platform_system == 'Linux' | "
"cuda-python==13.2.0; platform_system == 'Linux'"
),
}
if '@WITH_CINN@' == 'ON':
PADDLE_CUDA_INSTALL_REQUIREMENTS["12.3"] += (
" | nvidia-cuda-cccl-cu12==12.3.52;platform_system == 'Linux' and platform_machine == 'x86_64' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["12.4"] += (
" | nvidia-cuda-cccl-cu12==12.4.99;platform_system == 'Linux' and platform_machine == 'x86_64' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["12.6"] += (
" | nvidia-cuda-cccl-cu12==12.6.77;platform_system == 'Linux' and platform_machine == 'x86_64' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["12.8"] += (
" | nvidia-cuda-cccl-cu12==12.8.90;platform_system == 'Linux' and platform_machine == 'x86_64' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["12.9"] += (
" | nvidia-cuda-cccl-cu12==12.9.27;platform_system == 'Linux' and platform_machine == 'x86_64' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["13.0"] += (
" | cuda-toolkit[cccl]==13.0.2;platform_system == 'Linux' "
)
PADDLE_CUDA_INSTALL_REQUIREMENTS["13.2"] += (
" | cuda-toolkit[cccl]==13.2.1;platform_system == 'Linux' "
)
elif platform.system() == 'Windows':
PADDLE_CUDA_INSTALL_REQUIREMENTS = {
"11.8": (
"nvidia-cuda-runtime-cu11==11.8.89 | "
"nvidia-cudnn-cu11==8.9.4.19 | "
"nvidia-cublas-cu11==11.11.3.6 | "
"nvidia-cufft-cu11==10.9.0.58 | "
"nvidia-curand-cu11==10.3.0.86 | "
"nvidia-cusolver-cu11==11.4.1.48 | "
"nvidia-cusparse-cu11==11.7.5.86 "
),
"12.3": (
"nvidia-cuda-runtime-cu12==12.3.101 | "
"nvidia-cudnn-cu12==9.1.1.17 | "
"nvidia-cublas-cu12==12.3.4.1 | "
"nvidia-cufft-cu12==11.2.1.3 | "
"nvidia-curand-cu12==10.3.5.147 | "
"nvidia-cusolver-cu12==11.6.1.9 | "
"nvidia-cusparse-cu12==12.3.1.170 "
),
"12.6": (
"nvidia-cuda-runtime-cu12==12.6.77 | "
"nvidia-cudnn-cu12==9.5.1.17 | "
"nvidia-cublas-cu12==12.6.4.1 | "
"nvidia-cufft-cu12==11.3.0.4 | "
"nvidia-curand-cu12==10.3.7.77 | "
"nvidia-cusolver-cu12==11.7.1.2 | "
"nvidia-cusparse-cu12==12.5.4.2 "
),
"12.8": (
"nvidia-cuda-runtime-cu12==12.8.57 | "
"nvidia-cudnn-cu12==9.7.1.26 | "
"nvidia-cublas-cu12==12.8.3.14 | "
"nvidia-cufft-cu12==11.3.3.41 | "
"nvidia-curand-cu12==10.3.9.55 | "
"nvidia-cusolver-cu12==11.7.2.55 | "
"nvidia-cusparse-cu12==12.5.7.53 "
),
"12.9": (
"nvidia-cuda-runtime-cu12==12.9.37 | "
"nvidia-cudnn-cu12==9.9.0.52 | "
"nvidia-cublas-cu12==12.9.0.13 | "
"nvidia-cufft-cu12==11.4.0.6 | "
"nvidia-curand-cu12==10.3.10.19 | "
"nvidia-cusolver-cu12==11.7.4.40 | "
"nvidia-cusparse-cu12==12.5.9.5 "
),
"13.0": (
"nvidia-cuda-runtime==13.0.88 | "
"nvidia-cudnn-cu13==9.15.1.9 | "
"nvidia-cublas==13.1.0.3 | "
"nvidia-cufft==12.0.0.61 | "
"nvidia-curand==10.4.0.35 | "
"nvidia-cusolver==12.0.4.66 | "
"nvidia-cusparse==12.6.3.3 "
)
}
try:
output = subprocess.check_output(['nvcc', '--version']).decode('utf-8')
version_line = [line for line in output.split('\n') if 'release' in line][0]
match = re.search(r'release ([\d\.]+)', version_line)
cuda_major_version = match.group(1)
except Exception as e:
raise ValueError("CUDA not found")
if cuda_major_version in PADDLE_CUDA_INSTALL_REQUIREMENTS:
paddle_cuda_requires = PADDLE_CUDA_INSTALL_REQUIREMENTS[cuda_major_version].split("|")
if '@WITH_PIP_TENSORRT@' == 'ON':
version_str = get_tensorrt_version()
version_default = int(version_str.split(".")[0]) if version_str else None
if platform.system() == 'Linux' and cuda_major_version == '13.2':
if not version_str and platform.machine() == 'aarch64':
return paddle_cuda_requires, ["tensorrt-cu13==10.16.1.11"]
PADDLE_TENSORRT_INSTALL_REQUIREMENTS = [
"tensorrt-cu13==10.16.1.11",
]
elif platform.system() =='Linux' or (platform.system()=='Windows' and version_default is not None and version_default>=10):
PADDLE_TENSORRT_INSTALL_REQUIREMENTS = [
"tensorrt==8.5.3.1",
"tensorrt==8.6.0",
"tensorrt==8.6.1.post1",
"tensorrt==10.3.0",
]
else:
return paddle_cuda_requires, []
if not version_str:
return paddle_cuda_requires,[]
version_main = ".".join(version_str.split(".")[:3])
matched_package = None
for paddle_tensorrt_requires in PADDLE_TENSORRT_INSTALL_REQUIREMENTS:
paddle_tensorrt_version = paddle_tensorrt_requires.split("==")[1]
paddle_tensorrt_main = ".".join(paddle_tensorrt_version.split(".")[:3])
if version_main == paddle_tensorrt_main:
matched_package = paddle_tensorrt_requires
break
if matched_package:
paddle_tensorrt_requires = [matched_package]
else:
print(
"No exact match found for TensorRT Version: "
f"{version_str}. We currently support TensorRT versions "
"8.5.3.1, 8.6.0, 8.6.1.post1, 10.3.0, and 10.16.1.11."
)
return paddle_cuda_requires, []
return paddle_cuda_requires,paddle_tensorrt_requires
def build_cutlass3_src_code():
target_path = "${PADDLE_BINARY_DIR}/python/paddle/apy/matmul_pass/matmul/cutlass-3.7.0"
if not os.path.exists(target_path):
os.mkdir(target_path)
try:
cmd = ['git', 'rev-parse', 'HEAD']
git_commit = subprocess.Popen(cmd, stdout = subprocess.PIPE,
cwd="${PADDLE_SOURCE_DIR}/third_party/cutlass").communicate()[0].strip()
except:
git_commit = 'Unknown'
raise Exception("obtain commit id of third_party cutlass failed")
commit_id = str(git_commit.decode())
command = (
'cd '
+ '${PADDLE_SOURCE_DIR}/third_party/cutlass && '
+ 'git checkout v3.7.0 && '
+ 'cp '
+ '${PADDLE_SOURCE_DIR}/third_party/cutlass/tools -r '
+ f'{target_path} && '
+ 'cp '
+ '${PADDLE_SOURCE_DIR}/third_party/cutlass/include -r '
+ f'{target_path} && '
+ f'git checkout {commit_id}'
)
if os.system(command) != 0:
raise Exception(f"copy cutlass-3.7.0 failed, command: {command}")
packages=['paddle',
'paddle.libs',
'paddle.utils',
'paddle.utils.data',
'paddle.utils.data._utils',
'paddle.utils.gast',
'paddle.utils.cpp_extension',
'paddle.dataset',
'paddle.reader',
'paddle.distributed',
'paddle.distributed.flex_checkpoint',
'paddle.distributed.flex_checkpoint.aoa',
'paddle.distributed.flex_checkpoint.dcp',
'paddle.distributed.communication',
'paddle.distributed.communication.stream',
'paddle.distributed.metric',
'paddle.distributed.ps',
'paddle.distributed.ps.utils',
'paddle.incubate',
'paddle.incubate.jit',
'paddle.incubate.autograd',
'paddle.incubate.optimizer',
'paddle.incubate.checkpoint',
'paddle.incubate.operators',
'paddle.incubate.tensor',
'paddle.incubate.multiprocessing',
'paddle.incubate.nn',
'paddle.incubate.asp',
'paddle.incubate.passes',
'paddle.incubate.framework',
'paddle.distribution',
'paddle.distributed.utils',
'paddle.distributed.sharding',
'paddle.distributed.fsdp',
'paddle.distributed.fleet',
'paddle.distributed.launch',
'paddle.distributed.auto_tuner',
'paddle.distributed.launch.context',
'paddle.distributed.launch.controllers',
'paddle.distributed.launch.job',
'paddle.distributed.launch.plugins',
'paddle.distributed.launch.utils',
'paddle.distributed.fleet.base',
'paddle.distributed.fleet.recompute',
'paddle.distributed.fleet.elastic',
'paddle.distributed.fleet.meta_optimizers',
'paddle.distributed.fleet.meta_optimizers.sharding',
'paddle.distributed.fleet.meta_optimizers.dygraph_optimizer',
'paddle.distributed.fleet.runtime',
'paddle.distributed.rpc',
'paddle.distributed.fleet.dataset',
'paddle.distributed.fleet.data_generator',
'paddle.distributed.fleet.metrics',
'paddle.distributed.fleet.proto',
'paddle.distributed.fleet.utils',
'paddle.distributed.fleet.layers',
'paddle.distributed.fleet.layers.mpu',
'paddle.distributed.fleet.meta_parallel',
'paddle.distributed.fleet.meta_parallel.pp_utils',
'paddle.distributed.fleet.meta_parallel.sharding',
'paddle.distributed.fleet.meta_parallel.parallel_layers',
'paddle.distributed.auto_parallel',
'paddle.distributed.auto_parallel.intermediate',
'paddle.distributed.auto_parallel.pipelining',
'paddle.distributed.auto_parallel.dygraph',
'paddle.distributed.auto_parallel.static',
'paddle.distributed.auto_parallel.static.operators',
'paddle.distributed.auto_parallel.static.tuner',
'paddle.distributed.auto_parallel.static.cost',
'paddle.distributed.auto_parallel.static.reshard_funcs',
'paddle.distributed.passes',
'paddle.distributed.passes.pipeline_scheduler_pass',
'paddle.distributed.models',
'paddle.distributed.models.moe',
'paddle.distributed.transpiler',
'paddle.distributed.transpiler.details',
'paddle.framework',
'paddle.jit',
'paddle.jit.dy2static',
'paddle.jit.dy2static.transformers',
'paddle.jit.sot',
'paddle.jit.sot.opcode_translator',
'paddle.jit.sot.opcode_translator.executor',
'paddle.jit.sot.opcode_translator.executor.variables',
'paddle.jit.sot.opcode_translator.instruction_utils',
'paddle.jit.sot.profiler',
'paddle.jit.sot.symbolic',
'paddle.jit.sot.symbolic_shape',
'paddle.jit.sot.utils',
'paddle.inference',
'paddle.inference.contrib',
'paddle.inference.contrib.utils',
'paddle.base',
'paddle.base.dygraph',
'paddle.base.proto',
'paddle.base.proto.profiler',
'paddle.base.layers',
'paddle.base.incubate',
'paddle.incubate.distributed.fleet',
'paddle.base.incubate.checkpoint',
'paddle.amp',
'paddle.cost_model',
'paddle.cinn_config',
'paddle.hapi',
'paddle.vision',
'paddle.vision.models',
'paddle.vision.transforms',
'paddle.vision.datasets',
'paddle.audio',
'paddle.audio.functional',
'paddle.audio.features',
'paddle.audio.datasets',
'paddle.audio.backends',
'paddle.text',
'paddle.text.datasets',
'paddle.incubate',
'paddle.incubate.cc',
'paddle.incubate.cc.ap',
'paddle.incubate.cc.tools',
'paddle.apy',
'paddle.incubate.jit',
'paddle.incubate.nn',
'paddle.incubate.nn.functional',
'paddle.incubate.nn.layer',
'paddle.incubate.optimizer.functional',
'paddle.incubate.autograd',
'paddle.incubate.distributed',
'paddle.incubate.distributed.utils',
'paddle.incubate.distributed.utils.io',
'paddle.incubate.distributed.fleet',
'paddle.incubate.distributed.models',
'paddle.incubate.distributed.models.moe',
'paddle.incubate.distributed.models.moe.gate',
'paddle.incubate.distributed.fleet.parameter_server',
'paddle.incubate.distributed.fleet.parameter_server.distribute_transpiler',
'paddle.incubate.distributed.fleet.parameter_server.pslib',
'paddle.incubate.distributed.fleet.parameter_server.ir',
'paddle.incubate.layers',
'paddle.quantization',
'paddle.quantization.quanters',
'paddle.quantization.observers',
'paddle.sparse',
'paddle.sparse.nn',
'paddle.sparse.nn.layer',
'paddle.sparse.nn.functional',
'paddle.incubate.xpu',
'paddle.io',
'paddle.io.dataloader',
'paddle.optim',
'paddle.optimizer',
'paddle.nn',
'paddle.nn.attention',
'paddle.nn.functional',
'paddle.nn.layer',
'paddle.nn.modules',
'paddle.nn.quant',
'paddle.nn.quant.qat',
'paddle.nn.initializer',
'paddle.nn.utils',
'paddle.metric',
'paddle.static',
'paddle.static.nn',
'paddle.static.amp',
'paddle.static.amp.bf16',
'paddle.static.quantization',
'paddle.quantization',
'paddle.quantization.imperative',
'paddle.tensor',
'paddle.compat',
'paddle.compat.distributions',
'paddle.compat.nn',
'paddle.compat.nn.functional',
'paddle.onnx',
'paddle.autograd',
'paddle.cuda',
'paddle.device',
'paddle.device.cuda',
'paddle.device.xpu',
'paddle.version',
'paddle.profiler',
'paddle.geometric',
'paddle.geometric.message_passing',
'paddle.geometric.sampling',
'paddle.pir',
'paddle.decomposition',
'paddle._typing',
'paddle._typing.libs',
'paddle.api_tracer',
'paddle.testing',
]
if (
'@WITH_GPU@' == 'ON'
and '@CUDA_ARCH_BIN@'
and '@CUDA_ARCH_BIN@'.find("90") != -1
):
packages.extend(['paddle.distributed.communication.deep_ep'])
if (
'@WITH_XPU@' == 'ON'
and '@WITH_XPU_XRE5@' == 'ON'
):
packages.extend(['paddle.distributed.communication.deep_ep'])
if (
'@WITH_GPU@' == 'ON'
and tuple(map(int, '@CUDA_VERSION@'.split('.'))) >= (12, 9)
and '@COMPILED_CUDA_ARCHS@'.find("90") != -1
):
packages.extend(['paddle.incubate.fp8.deep_gemm'])
packages.extend(['paddle.incubate.fp8.deep_gemm.jit'])
packages.extend(['paddle.incubate.fp8.deep_gemm.jit_kernels'])
if '@WITH_TENSORRT@' =='ON':
packages.extend([
'paddle.tensorrt',
'paddle.tensorrt.impls',
])
with open('@PADDLE_SOURCE_DIR@/python/requirements.txt') as f:
setup_requires = f.read().splitlines()
if sys.version_info < (3, 10):
raise RuntimeError("Paddle only supports Python version >= 3.10 now")
if sys.version_info >= (3, 10):
setup_requires_tmp = []
for setup_requires_i in setup_requires:
if (
"<\"3.6\"" in setup_requires_i
or "<=\"3.6\"" in setup_requires_i
or "<\"3.5\"" in setup_requires_i
or "<=\"3.5\"" in setup_requires_i
or "<\"3.7\"" in setup_requires_i
or "<=\"3.7\"" in setup_requires_i
or "<\"3.8\"" in setup_requires_i
or '<="3.8"' in setup_requires_i
or '<"3.9"' in setup_requires_i
or '<="3.9"' in setup_requires_i
or '<"3.10"' in setup_requires_i
or setup_requires_i.strip().endswith(
'[build]'
) # remove `[build]` requirements
):
continue
setup_requires_tmp+=[setup_requires_i]
setup_requires = setup_requires_tmp
if '@WITH_GPU@' == 'ON' and (
(
platform.system() == 'Linux'
and (
platform.machine() == 'x86_64'
or float('@CUDA_VERSION@') >= 13.0
)
)
or (platform.system() == 'Windows' and platform.machine() in ('x86_64', 'AMD64'))
):
paddle_cuda_requires,paddle_tensorrt_requires= get_paddle_extra_install_requirements()
setup_requires += paddle_cuda_requires
setup_requires += paddle_tensorrt_requires
# the prefix is sys.prefix which should always be usr
paddle_bins = ''
if not '${WIN32}':
paddle_bins = ['${PADDLE_BINARY_DIR}/paddle/scripts/paddle']
if os.name != 'nt':
package_data={'paddle.base': ['${FLUID_CORE_NAME}' + '.so']}
else:
package_data={'paddle.base': ['${FLUID_CORE_NAME}' + '.pyd', '${FLUID_CORE_NAME}' + '.lib']}
custom_device_dir = '${PADDLE_BINARY_DIR}/python/paddle/paddle_custom_device'
if os.path.isdir(custom_device_dir):
packages.append('paddle.paddle_custom_device')
package_data['paddle.paddle_custom_device'] = ['*.so', 'include/**']
package_data['paddle.base'] += ['${PADDLE_BINARY_DIR}/python/paddle/cost_model/static_op_benchmark.json']
whl_cinn_config_path = '${PADDLE_BINARY_DIR}/python/paddle/cinn_config'
src_cinn_config_path = '${PADDLE_SOURCE_DIR}/python/paddle/cinn_config'
package_data['paddle.cinn_config'] = []
if os.path.exists(whl_cinn_config_path):
shutil.rmtree(whl_cinn_config_path)
shutil.copytree(src_cinn_config_path, whl_cinn_config_path)
json_path_list = get_cinn_config_jsons()
for json in json_path_list:
package_data['paddle.cinn_config'] += [json]
# if '${WITH_CINN}' == 'ON':
# build_cutlass3_src_code()
package_data['paddle.apy'] = []
file_path_list = get_apy_files()
for file in file_path_list:
package_data['paddle.apy'] += [file]
package_dir={
'': '${PADDLE_BINARY_DIR}/python',
# The paddle.base.proto will be generated while compiling.
# So that package points to other directory.
'paddle.base.proto.profiler': '${PADDLE_BINARY_DIR}/paddle/fluid/platform',
'paddle.base.proto': '${PADDLE_BINARY_DIR}/paddle/fluid/framework',
'paddle.base': '${PADDLE_BINARY_DIR}/python/paddle/base',
**({'paddle.paddle_custom_device': custom_device_dir}
if os.path.isdir(custom_device_dir) else {}),
}
# put all thirdparty libraries in paddle.libs
libs_path='${PADDLE_BINARY_DIR}/python/paddle/libs'
package_data['paddle.libs']= []
if('${WITH_FLAGCX}' == 'ON'):
package_data['paddle.libs'] += [('libflagcx' if os.name != 'nt' else 'flagcx') + ext_name]
shutil.copy('${FLAGCX_LIB}', libs_path)
if('${WITH_SHARED_PHI}' == 'ON'):
package_data['paddle.libs'] += [('libphi' if os.name != 'nt' else 'phi') + ext_name]
shutil.copy('${PHI_LIB}', libs_path)
if os.name != 'nt':
package_data['paddle.libs'] += [('libphi_core' if os.name != 'nt' else 'phi_core') + ext_name]
shutil.copy('${PHI_CORE_LIB}', libs_path)
if('${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON'):
package_data['paddle.libs'] += [('libphi_gpu' if os.name != 'nt' else 'phi_gpu') + ext_name]
shutil.copy('${PHI_GPU_LIB}', libs_path)
if os.name == 'nt':
package_data['paddle.libs'] += ['phi.lib']
shutil.copy('${PHI_LINK}', libs_path)
if('${WITH_SHARED_IR}' == 'ON'):
package_data['paddle.libs'] += [('libpir' if os.name != 'nt' else 'pir') + ext_name]
shutil.copy('${IR_LIB}', libs_path)
package_data['paddle.libs']+=[
('libwarpctc' if os.name != 'nt' else 'warpctc') + ext_name,
('libwarprnnt' if os.name != 'nt' else 'warprnnt') + ext_name,
]
package_data['paddle.libs']+=[
('libcommon' if os.name != 'nt' else 'common') + ext_name,
]
if os.name == 'nt':
package_data['paddle.libs'] += ['common.lib']
shutil.copy('${COMMON_LINK}', libs_path)
shutil.copy('${COMMON_LIB}', libs_path)
shutil.copy('${WARPCTC_LIBRARIES}', libs_path)
shutil.copy('${WARPRNNT_LIBRARIES}', libs_path)
package_data['paddle.libs']+=[
os.path.basename('${LAPACK_LIB}'),
os.path.basename('${BLAS_LIB}'),
os.path.basename('${GFORTRAN_LIB}'),
os.path.basename('${GNU_RT_LIB_1}')]
shutil.copy('${BLAS_LIB}', libs_path)
shutil.copy('${LAPACK_LIB}', libs_path)
shutil.copy('${GFORTRAN_LIB}', libs_path)
shutil.copy('${GNU_RT_LIB_1}', libs_path)
if('${WITH_MAGMA}' == 'ON'):
package_data['paddle.libs']+=[
os.path.basename('${MAGMA_LIB}')]
shutil.copy('${MAGMA_LIB}', libs_path)
if not sys.platform.startswith("linux"):
package_data['paddle.libs']+=[os.path.basename('${GNU_RT_LIB_2}')]
shutil.copy('${GNU_RT_LIB_2}', libs_path)
if '${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON':
if len('${FLASHATTN_LIBRARIES}') > 1:
package_data['paddle.libs']+=[os.path.basename('${FLASHATTN_LIBRARIES}')]
shutil.copy('${FLASHATTN_LIBRARIES}', libs_path)
if len('${FLASHATTN_V3_LIBRARIES}') > 1:
package_data['paddle.libs']+=[os.path.basename('${FLASHATTN_V3_LIBRARIES}')]
shutil.copy('${FLASHATTN_V3_LIBRARIES}', libs_path)
if len('${FLASHMASK_V2_LIBRARIES}') > 1:
package_data['paddle.libs']+=[os.path.basename('${FLASHMASK_V2_LIBRARIES}')]
shutil.copy('${FLASHMASK_V2_LIBRARIES}', libs_path)
if '${WITH_DISTRIBUTE}' == 'ON' and '${WITH_NVSHMEM}' == 'ON':
package_data['paddle.libs']+=[
os.path.basename('${NVSHMEM_BOOTSTRAP_UID_LIB}'),
os.path.basename('${NVSHMEM_BOOTSTRAP_PMI_LIB}'),
os.path.basename('${NVSHMEM_BOOTSTRAP_PMI2_LIB}'),
os.path.basename('${NVSHMEM_TRANSPORT_IBRC_LIB}'),
os.path.basename('${NVSHMEM_TRANSPORT_IBGDA_LIB}'),
]
shutil.copy('${NVSHMEM_BOOTSTRAP_UID_LIB}', libs_path)
shutil.copy('${NVSHMEM_BOOTSTRAP_PMI_LIB}', libs_path)
shutil.copy('${NVSHMEM_BOOTSTRAP_PMI2_LIB}', libs_path)
shutil.copy('${NVSHMEM_TRANSPORT_IBRC_LIB}', libs_path)
shutil.copy('${NVSHMEM_TRANSPORT_IBGDA_LIB}', libs_path)
if '${WITH_MKL}' == 'ON':
shutil.copy('${MKLML_SHARED_LIB}', libs_path)
shutil.copy('${MKLML_SHARED_IOMP_LIB}', libs_path)
package_data['paddle.libs']+=[('libmklml_intel' if os.name != 'nt' else 'mklml') + ext_name, ('libiomp5' if os.name != 'nt' else 'libiomp5md') + ext_name]
elif '${WITH_HML}' == 'ON':
shutil.copy('${HML_LIB}', libs_path)
package_data['paddle.libs']+=['libhml_rt' + ext_name]
else:
if os.name == 'nt':
# copy the openblas.dll
shutil.copy('${OPENBLAS_SHARED_LIB}', libs_path)
package_data['paddle.libs'] += ['openblas' + ext_name]
elif os.name == 'posix' and platform.machine() == 'aarch64' and '${OPENBLAS_LIB}'.endswith('so'):
# copy the libopenblas.so on linux+aarch64
# special: libpaddle.so without avx depends on 'libopenblas.so.0', not 'libopenblas.so'
if os.path.exists('${OPENBLAS_LIB}' + '.0'):
shutil.copy('${OPENBLAS_LIB}' + '.0', libs_path)
package_data['paddle.libs'] += ['libopenblas.so.0']
if '${WITH_CINN}' == 'ON':
shutil.copy('${CINN_LIB_LOCATION}/${CINN_LIB_NAME}', libs_path)
shutil.copy('${CINN_INCLUDE_DIR}/paddle/cinn/runtime/cuda/cinn_cuda_runtime_source.cuh', libs_path)
shutil.copy('${CINN_INCLUDE_DIR}/paddle/cinn/runtime/hip/cinn_hip_runtime_source.h', libs_path)
shutil.copy('${CINN_INCLUDE_DIR}/paddle/cinn/runtime/sycl/cinn_sycl_runtime_source.h', libs_path)
package_data['paddle.libs']+=['libcinnapi.so']
package_data['paddle.libs']+=['cinn_cuda_runtime_source.cuh']
package_data['paddle.libs']+=['cinn_hip_runtime_source.h']
package_data['paddle.libs']+=['cinn_sycl_runtime_source.h']
cinn_fp16_file = '${CINN_INCLUDE_DIR}/paddle/cinn/runtime/cuda/float16.h'
if '${WITH_ROCM}' == 'ON':
cinn_fp16_file = '${CINN_INCLUDE_DIR}/paddle/cinn/runtime/hip/float16.h'
if os.path.exists(cinn_fp16_file):
shutil.copy(cinn_fp16_file, libs_path)
package_data['paddle.libs']+=['float16.h']
cinn_bf16_file = '${CINN_INCLUDE_DIR}/paddle/cinn/runtime/cuda/bfloat16.h'
if os.path.exists(cinn_bf16_file):
shutil.copy(cinn_bf16_file, libs_path)
package_data['paddle.libs']+=['bfloat16.h']
cinn_fp8_file = '${CINN_INCLUDE_DIR}/paddle/cinn/runtime/cuda/float8e4m3.h'
if os.path.exists(cinn_fp8_file):
shutil.copy(cinn_fp8_file, libs_path)
package_data['paddle.libs']+=['float8e4m3.h']
if '${CMAKE_BUILD_TYPE}' == 'Release' and os.name != 'nt':
if ('@WITH_GPU@' == 'ON' and tuple(map(int, '@CUDA_VERSION@'.split('.'))) >= (13, 0) and tuple(map(int, '@CUDA_VERSION@'.split('.'))) < (14, 0)):
command = "patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cu13/lib/:$ORIGIN/../../nvidia/cudnn/lib/:$ORIGIN/' %s/${CINN_LIB_NAME}" % libs_path
if os.system(command) != 0:
raise Exception("patch %s/${CINN_LIB_NAME} failed, command: %s" % (libs_path, command))
else:
command = "patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_nvrtc/lib/:$ORIGIN/../../nvidia/cuda_runtime/lib/:$ORIGIN/../../nvidia/cublas/lib/:$ORIGIN/../../nvidia/cudnn/lib/:$ORIGIN/../../nvidia/curand/lib/:$ORIGIN/../../nvidia/cusolver/lib/:$ORIGIN/../../nvidia/nvtx/lib/:$ORIGIN/' %s/${CINN_LIB_NAME}" % libs_path
if os.system(command) != 0:
raise Exception("patch %s/${CINN_LIB_NAME} failed, command: %s" % (libs_path, command))
if '${WITH_ONEDNN}' == 'ON':
if '${CMAKE_BUILD_TYPE}' == 'Release' and os.name != 'nt':
# only change rpath in Release mode.
# TODO(typhoonzero): use install_name_tool to patch mkl libs once
# we can support mkl on mac.
#
# change rpath of libdnnl.so.1, add $ORIGIN/ to it.
# The reason is that all thirdparty libraries in the same directory,
# thus, libdnnl.so.1 will find libmklml_intel.so and libiomp5.so.
command = "patchelf --force-rpath --set-rpath '$ORIGIN/' ${ONEDNN_SHARED_LIB}"
if os.system(command) != 0:
raise Exception("patch libdnnl.so failed, command: %s" % command)
shutil.copy('${ONEDNN_SHARED_LIB}', libs_path)
if os.name != 'nt':
package_data['paddle.libs']+=['libdnnl.so.3']
else:
package_data['paddle.libs']+=['mkldnn.dll']
if '${WITH_ONNXRUNTIME}' == 'ON':
shutil.copy('${ONNXRUNTIME_SHARED_LIB}', libs_path)
shutil.copy('${PADDLE2ONNX_LIB}', libs_path)
if os.name == 'nt':
package_data['paddle.libs']+=['paddle2onnx.dll', 'onnxruntime.dll']
else:
package_data['paddle.libs']+=['${PADDLE2ONNX_LIB_NAME}', '${ONNXRUNTIME_LIB_NAME}']
if '${WITH_OPENVINO}' == 'ON':
shutil.copy('${OPENVINO_LIB}', libs_path)
shutil.copy('${TBB_LIB}', libs_path)
shutil.copy('${OPENVINO_PADDLE_LIB}', libs_path)
shutil.copy('${OPENVINO_CPU_PLUGIN_LIB}', libs_path)
if os.name != 'nt':
package_data['paddle.libs'] += ['libopenvino.so.2500', 'libtbb.so.12', 'libopenvino_paddle_frontend.so.2500', 'libopenvino_intel_cpu_plugin.so']
else:
package_data['paddle.libs'] += ['openvino.dll', 'tbb.dll', 'openvino_paddle_frontend.dll', 'openvino_intel_cpu_plugin.dll']
if '${WITH_XPU}' == 'ON':
shutil.copy('${XPU_API_LIB}', libs_path)
package_data['paddle.libs']+=['${XPU_API_LIB_NAME}']
xpu_rt_lib_list = glob.glob('${XPU_RT_LIB}*')
for xpu_rt_lib_file in xpu_rt_lib_list:
shutil.copy(xpu_rt_lib_file, libs_path)
package_data['paddle.libs']+=[os.path.basename(xpu_rt_lib_file)]
xpu_cuda_lib_list = glob.glob('${XPU_CUDA_LIB}*')
for xpu_cuda_lib_file in xpu_cuda_lib_list:
shutil.copy(xpu_cuda_lib_file, libs_path)
package_data['paddle.libs'] += [os.path.basename(xpu_cuda_lib_file)]
if '${WITH_XPU_XRE5}' == 'ON':
xpu_cuda_rt_lib_list = glob.glob('${XPU_CUDA_RT_LIB}*')
for xpu_cuda_rt_lib_file in xpu_cuda_rt_lib_list:
shutil.copy(xpu_cuda_rt_lib_file, libs_path)
package_data['paddle.libs'] += [os.path.basename(xpu_cuda_rt_lib_file)]
xpu_ml_lib_list = glob.glob('${XPU_ML_LIB}*')
for xpu_ml_lib_file in xpu_ml_lib_list:
shutil.copy(xpu_ml_lib_file, libs_path)
package_data['paddle.libs'] += [os.path.basename(xpu_ml_lib_file)]
shutil.copy('${XPU_XBLAS_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XBLAS_LIB_NAME}']
shutil.copy('${XPU_XBLAS_JITC_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XBLAS_JITC_LIB_NAME}']
shutil.copy('${XPU_XBLAS_LLVM_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XBLAS_LLVM_LIB_NAME}']
shutil.copy('${XPU_XBLAS_CLANG_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XBLAS_CLANG_LIB_NAME}']
shutil.copy('${XPU_XBLAS_CLANG}', libs_path)
xpu_xblas_clang_path = os.path.join(
libs_path, '${XPU_XBLAS_CLANG_NAME}'
)
os.chmod(
xpu_xblas_clang_path,
os.stat(xpu_xblas_clang_path).st_mode | 0o111,
)
package_data['paddle.libs'] += ['${XPU_XBLAS_CLANG_NAME}']
shutil.copy('${XPU_XBLAS_LLD}', libs_path)
xpu_xblas_lld_path = os.path.join(
libs_path, '${XPU_XBLAS_LLD_NAME}'
)
os.chmod(
xpu_xblas_lld_path,
os.stat(xpu_xblas_lld_path).st_mode | 0o111,
)
package_data['paddle.libs'] += ['${XPU_XBLAS_LLD_NAME}']
shutil.copy('${XPU_XBLAS_CLUSTER_BUILTINS_P800_ENC}', libs_path)
package_data['paddle.libs'] += [
'${XPU_XBLAS_CLUSTER_BUILTINS_P800_ENC_NAME}'
]
shutil.copy('${XPU_XBLAS_SDNN_BUILTINS_P800_ENC}', libs_path)
package_data['paddle.libs'] += [
'${XPU_XBLAS_SDNN_BUILTINS_P800_ENC_NAME}'
]
shutil.copy('${XPU_XBLAS_XBFLOAT16_BUILTINS_P800_ENC}', libs_path)
package_data['paddle.libs'] += [
'${XPU_XBLAS_XBFLOAT16_BUILTINS_P800_ENC_NAME}'
]
shutil.copy('${XPU_XBLAS_XCCL_BUILTINS_P800_ENC}', libs_path)
package_data['paddle.libs'] += [
'${XPU_XBLAS_XCCL_BUILTINS_P800_ENC_NAME}'
]
shutil.copy('${XPU_XFA_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XFA_LIB_NAME}']
shutil.copy('${XPU_XPUDNN_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XPUDNN_LIB_NAME}']
shutil.copy('${XPU_XPUDNN_OMP_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XPUDNN_OMP_LIB_NAME}']
shutil.copy('${XPU_XPUTX_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_XPUTX_LIB_NAME}']
shutil.copy('${XPU_CUPTI_LIB}', libs_path)
package_data['paddle.libs'] += ['${XPU_CUPTI_LIB_NAME}']
if '${WITH_XPU_BKCL}' == 'ON':
shutil.copy('${XPU_BKCL_LIB}', libs_path)
package_data['paddle.libs']+=['${XPU_BKCL_LIB_NAME}']
if '${WITH_XPU_FFT}' == 'ON':
xpu_fft_lib_list = glob.glob('${XPU_FFT_LIB}*')
for xpu_fft_lib_file in xpu_fft_lib_list:
shutil.copy(xpu_fft_lib_file, libs_path)
package_data['paddle.libs']+=[os.path.basename(xpu_fft_lib_file)]
if '${WITH_XPU_XFT}' == 'ON':
shutil.copy('${XPU_XFT_LIB}', libs_path)
package_data['paddle.libs']+=['${XPU_XFT_LIB_NAME}']
if '${WITH_XPTI}' == 'ON':
shutil.copy('${XPU_XPTI_LIB}', libs_path)
package_data['paddle.libs']+=['${XPU_XPTI_LIB_NAME}']
# remove unused paddle/libs/__init__.py
if os.path.isfile(libs_path+'/__init__.py'):
os.remove(libs_path+'/__init__.py')
package_dir['paddle.libs']=libs_path
# change rpath of ${FLUID_CORE_NAME}.ext, add $ORIGIN/../libs/ to it.
# The reason is that libwarpctc.ext, libiomp5.ext etc are in paddle.libs, and
# ${FLUID_CORE_NAME}.ext is in paddle.base, thus paddle/fluid/../libs will pointer to above libraries.
# This operation will fix https://github.com/PaddlePaddle/Paddle/issues/3213
if '${CMAKE_BUILD_TYPE}' == 'Release':
if os.name != 'nt':
# only change rpath in Release mode, since in Debug mode, ${FLUID_CORE_NAME}.xx is too large to be changed.
if "@APPLE@" == "1":
commands = ["install_name_tool -id '@loader_path/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/base/${FLUID_CORE_NAME}" + '.so']
commands.append("install_name_tool -add_rpath '@loader_path/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/base/${FLUID_CORE_NAME}" + '.so')
commands.append("install_name_tool -add_rpath '@loader_path/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/libs/${COMMON_NAME}")
if('${WITH_SHARED_PHI}' == 'ON'):
# change rpath of phi.ext for loading 3rd party libb
commands.append("install_name_tool -add_rpath '@loader_path' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_NAME}")
commands.append("install_name_tool -add_rpath '@loader_path' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_CORE_NAME}")
if('${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON'):
commands.append("install_name_tool -add_rpath '@loader_path' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_GPU_NAME}")
if('${WITH_SHARED_IR}' == 'ON'):
# change rpath of pir.ext for loading 3rd party libb
commands.append("install_name_tool -add_rpath '@loader_path' ${PADDLE_BINARY_DIR}/python/paddle/libs/${IR_NAME}")
else:
if ('@WITH_GPU@' == 'ON' and tuple(map(int, '@CUDA_VERSION@'.split('.'))) >= (13, 0) and tuple(map(int, '@CUDA_VERSION@'.split('.'))) < (14, 0)):
commands = ["patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cu13/lib:$ORIGIN/../../nvidia/cudnn/lib:$ORIGIN/../../nvidia/nccl/lib:$ORIGIN/../../cusparselt/lib:$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/base/${FLUID_CORE_NAME}" + '.so']
if('${WITH_SHARED_PHI}' == 'ON'):
# change rpath of phi.ext for loading 3rd party lib
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib/:$ORIGIN/../../nvidia/cu13/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_NAME}")
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib/:$ORIGIN/../../nvidia/cu13/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_CORE_NAME}")
if('${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON'):
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib/:$ORIGIN/../../nvidia/cu13/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_GPU_NAME}")
else:
commands = ["patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib:$ORIGIN/../../nvidia/cuda_nvrtc/lib:$ORIGIN/../../nvidia/cublas/lib:$ORIGIN/../../nvidia/cudnn/lib:$ORIGIN/../../nvidia/curand/lib:$ORIGIN/../../nvidia/cusparse/lib:$ORIGIN/../../nvidia/nvjitlink/lib:$ORIGIN/../../nvidia/cuda_cupti/lib:$ORIGIN/../../nvidia/cuda_runtime/lib:$ORIGIN/../../nvidia/cufft/lib:$ORIGIN/../../nvidia/cufft/lib:$ORIGIN/../../nvidia/cusolver/lib:$ORIGIN/../../nvidia/nccl/lib:$ORIGIN/../../nvidia/nvtx/lib:$ORIGIN/../libs/' ${PADDLE_BINARY_DIR}/python/paddle/base/${FLUID_CORE_NAME}" + '.so']
if('${WITH_SHARED_PHI}' == 'ON'):
# change rpath of phi.ext for loading 3rd party lib
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_NAME}")
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_CORE_NAME}")
if('${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON'):
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN/../../nvidia/cuda_runtime/lib:$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${PHI_GPU_NAME}")
if('${WITH_SHARED_IR}' == 'ON'):
# change rpath of pir.ext for loading 3rd party lib
commands.append("patchelf --force-rpath --set-rpath '$ORIGIN:$ORIGIN/../libs' ${PADDLE_BINARY_DIR}/python/paddle/libs/${IR_NAME}")
# The sw_64 not support patchelf, so we just disable that.
if platform.machine() != 'sw_64' and platform.machine() != 'mips64':
for command in commands:
if os.system(command) != 0:
raise Exception("patch ${FLUID_CORE_NAME}.%s failed, command: %s" % (ext_name, command))
ext_modules = [Extension('_foo', ['stub.cc'])]
if os.name == 'nt':
# fix the path separator under windows
fix_package_dir = {}
for k, v in package_dir.items():
fix_package_dir[k] = v.replace('/', '\\')
package_dir = fix_package_dir
ext_modules = []
elif sys.platform == 'darwin':
ext_modules = []
def find_files(pattern, root, recursive=False):
for dirpath, _, files in os.walk(root):
for filename in fnmatch.filter(files, pattern):
yield os.path.join(dirpath, filename)
if not recursive:
break
headers = (
# paddle level api headers (high level api, for both training and inference)
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle')) +
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/common')) + # paddle common headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/api')) + # phi unify api header
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/api/ext')) + # custom op api
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/api/include')) + # phi api
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/common')) + # phi common headers
# torch compatible apis
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/api/include/compat', recursive=True)) +
# phi level api headers (low level api, for training only)
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi')) + # phi extension header
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/include', recursive=True)) + # phi include headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends')) + # phi backends headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/core', recursive=True)) + # phi core headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/infermeta', recursive=True)) + # phi infermeta headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/kernels', recursive=True)) + # phi kernels headers
# capi headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/capi', recursive=True)) + # phi capi headers
# phi profiler headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/api/profiler')) +
# utils api headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/utils', recursive=True)) + # paddle utils headers
# init headers
list(find_files('init_phi.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/platform')) + # phi init headers
# init headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/pir/include', recursive=True)) + # pir init headers
# init headers
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/pir/drr/include')) + # drr init headers
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape'))+
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/ir')) + # operator init headers
list(find_files('sub_graph_detector.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/pir/transforms/')) +
list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/distributed/collective/')) +
list(find_files('general_functions.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/pir/utils'))+
list(find_files('interface.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/pir/serialize_deserialize/include'))+
list(find_files('dense_tensor.inl','@PADDLE_SOURCE_DIR@/paddle/phi/core'))+
list(find_files('op_yaml_info.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface'))+
list(find_files('op_yaml_info_util.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/utils/'))+
list(find_files('op_yaml_info_parser.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/utils/'))+
list(find_files('utils.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/utils/'))+
list(find_files('op_compat_info.h','@PADDLE_SOURCE_DIR@/paddle/fluid/ir_adaptor/translator/'))+
list(find_files('op_yaml_info_parser.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/utils/'))+
list(find_files('vjp.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface/'))+
list(find_files('infer_symbolic_shape.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface/infer_symbolic_shape/'))+
#pir headers
list(find_files('lexer.h','@PADDLE_SOURCE_DIR@/paddle/pir/src/core/parser/'))+
list(find_files('token.h','@PADDLE_SOURCE_DIR@/paddle/pir/src/core/parser/'))+
#pir ops and dependency
list(find_files('pd_op.h','@PADDLE_BINARY_DIR@/paddle/fluid/pir/dialect/operator/ir/'))+
list(find_files('pd_op_sig.h','@PADDLE_SOURCE_DIR@/paddle/fluid/ir_adaptor/translator/'))+
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface/'))+
list(find_files('*.hpp','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/interface/'))+
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/trait/'))+
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/operator/utils/'))+
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/dialect/kernel/ir/'))+
list(find_files('*.h','@PADDLE_SOURCE_DIR@/paddle/pir/include/core/'))+
list(find_files('pd_op_to_kernel_pass.h','@PADDLE_SOURCE_DIR@/paddle/fluid/pir/transforms/'))+
#custom_engine
list(find_files('custom_engine_ext.h','@PADDLE_SOURCE_DIR@/paddle/fluid/custom_engine/'))+
#new_executor headers
list(find_files('pir_adaptor_util.h','@PADDLE_SOURCE_DIR@/paddle/fluid/framework/new_executor/pir_adaptor/'))+
list(find_files('custom_engine_instruction.h','@PADDLE_SOURCE_DIR@/paddle/fluid/framework/new_executor/instruction/'))+
list(find_files('instruction_defs.h','@PADDLE_SOURCE_DIR@/paddle/fluid/framework/new_executor/instruction/'))+
list(find_files('instruction_base.h','@PADDLE_SOURCE_DIR@/paddle/fluid/framework/new_executor/instruction/')))
jit_layer_headers = ['layer.h', 'serializer.h', 'serializer_utils.h', 'all.h', 'function.h']
for f in jit_layer_headers:
headers += list(find_files(f, '@PADDLE_SOURCE_DIR@/paddle/fluid/jit', recursive=True))
if '${WITH_ONEDNN}' == 'ON':
headers += list(find_files('*', '${ONEDNN_INSTALL_DIR}/include', recursive=True)) # mkldnn
if '${WITH_OPENVINO}' == 'ON':
headers += list(
find_files('*', '${OPENVINO_INC_DIR}')
) # openvino
headers += list(
find_files('*', '${TBB_INC_DIR}')
) # tbb
if '${WITH_GPU}' == 'ON' or '${WITH_ROCM}' == 'ON':
# externalErrorMsg.pb for External Error message
headers += list(find_files('*.pb', '${externalError_INCLUDE_DIR}'))
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends', recursive=True)
)
if '${WITH_XPU}' == 'ON':
headers += [
h for h in find_files('*.h', '@PADDLE_BINARY_DIR@/third_party/xpu/src/extern_xpu/xpu', recursive=True)
if '/include/xpu/kernel/' not in h
] # xdnn api headers
headers += list(find_files('*.hpp', '@PADDLE_BINARY_DIR@/third_party/xpu/src/extern_xpu/xpu', recursive=True)) # xre headers with .hpp extension
headers += list(
find_files('*.h', '@PADDLE_BINARY_DIR@/paddle/phi/backends/cpu')
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/xpu')
)
headers += list(
find_files(
'*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload'
)
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/onednn')
)
if (
'@WITH_GPU@' == 'ON'
and tuple(map(int, '@CUDA_VERSION@'.split('.'))) >= (12, 9)
and '@COMPILED_CUDA_ARCHS@'.find("90") != -1
):
headers += list(find_files('*.hpp', '@PADDLE_SOURCE_DIR@/paddle/fluid/fp8/deep_gemm/include/cute/', recursive=True))
headers += list(find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/fluid/fp8/deep_gemm/include/cutlass/', recursive=True))
headers += list(find_files('*.hpp', '@PADDLE_SOURCE_DIR@/paddle/fluid/fp8/deep_gemm/include/cutlass/', recursive=True))
headers += list(find_files('*.cuh', '@PADDLE_SOURCE_DIR@/paddle/fluid/fp8/deep_gemm/include/deep_gemm', recursive=True))
if (
'@WITH_GPU@' == 'OFF'
and '@WITH_ROCM@' == 'OFF'
and '@WITH_XPU@' == 'OFF'
): # Custom Device
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/cpu')
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/custom')
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/gpu', recursive=True)
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/onednn')
)
headers += [
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/afs_api.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/dynamic_loader.h',
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/mklml.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/mklrt.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/lapack.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/hml.h'
),
]
else:
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/cpu')
)
headers += list(
find_files('*.h', '@PADDLE_SOURCE_DIR@/paddle/phi/backends/onednn')
)
headers += [
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/afs_api.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/dynamic_loader.h',
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/mklml.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/mklrt.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/lapack.h'
),
os.path.join(
'@PADDLE_SOURCE_DIR@/paddle/phi/backends/dynload/hml.h'
),
]
headers += list(find_files('*.h', '${PYBIND_INCLUDE_DIR}', True)) # pybind headers
def get_header_install_dir(header):
if 'pb.h' in header:
install_dir = re.sub('${PADDLE_BINARY_DIR}/', '', header)
elif 'third_party' not in header:
# paddle headers
install_dir = re.sub('@PADDLE_SOURCE_DIR@/', '', header)
if 'fluid/jit' in install_dir:
install_dir = re.sub('fluid/jit', 'jit', install_dir)
else:
# third_party
install_dir = re.sub('${THIRD_PARTY_PATH}', 'third_party', header)
patterns = ['install/mkldnn/include', 'pybind/src/extern_pybind/include', 'third_party/xpu/src/extern_xpu/xpu/include/']
for pattern in patterns:
install_dir = re.sub(pattern, '', install_dir)
return install_dir
class InstallCommand(InstallCommandBase):
def finalize_options(self):
ret = InstallCommandBase.finalize_options(self)
self.install_lib = self.install_platlib
self.install_headers = os.path.join(self.install_platlib, 'paddle', 'include')
return ret
class InstallHeaders(Command):
"""Override how headers are copied.
"""
description = 'install C/C++ header files'
user_options = [('install-dir=', 'd',
'directory to install header files to'),
('force', 'f',
'force installation (overwrite existing files)'),
]
boolean_options = ['force']
def initialize_options(self):
self.install_dir = None
self.force = 0
self.outfiles = []
def finalize_options(self):
self.set_undefined_options('install',
('install_headers', 'install_dir'),
('force', 'force'))
def mkdir_and_copy_file(self, header):
install_dir = get_header_install_dir(header)
install_dir = os.path.join(self.install_dir, os.path.dirname(install_dir))
if not os.path.exists(install_dir):
self.mkpath(install_dir)
return self.copy_file(header, install_dir)
def run(self):
hdrs = self.distribution.headers
if not hdrs:
return
self.mkpath(self.install_dir)
for header in hdrs:
(out, _) = self.mkdir_and_copy_file(header)
self.outfiles.append(out)
def get_inputs(self):
return self.distribution.headers or []
def get_outputs(self):
return self.outfiles
class EggInfo(egg_info):
"""Copy license file into `.dist-info` folder."""
def run(self):
# don't duplicate license into `.dist-info` when building a distribution
if not self.distribution.have_run.get('install', True):
self.mkpath(self.egg_info)
self.copy_file("@PADDLE_SOURCE_DIR@/LICENSE", self.egg_info)
egg_info.run(self)
# we redirect setuptools log for non-windows
if sys.platform != 'win32':
@contextmanager
def redirect_stdout():
f_log = open('${SETUP_LOG_FILE}', 'w')
origin_stdout = sys.stdout
sys.stdout = f_log
yield
f_log = sys.stdout
sys.stdout = origin_stdout
f_log.close()
else:
@contextmanager
def redirect_stdout():
yield
# Log for PYPI
with open("@PADDLE_SOURCE_DIR@/README.md", "r", encoding='UTF-8') as f:
long_description = _convert_readme_relative_paths_for_pypi(f.read())
# strip *.so to reduce package size
if '${WITH_STRIP}' == 'ON':
command = (
'find '
+ shlex.quote('${PADDLE_BINARY_DIR}')
+ '/python/paddle -name "*.so" | xargs -i strip {}'
)
if os.system(command) != 0:
raise Exception("strip *.so failed, command: %s" % command)
def check_build_dependency():
missing_modules = '''Missing build dependency: {dependency}
Please run 'pip install -r python/requirements.txt' to make sure you have all the dependencies installed.
'''.strip()
with open('${PADDLE_SOURCE_DIR}' + '/python/requirements.txt') as f:
build_dependencies = (
f.read().splitlines()
) # Specify the dependencies to install
python_dependencies_module = []
installed_packages = []
def normalize_package_name(package_name: str) -> str:
return package_name.replace("_", "-").lower()
def eval_marker(marker_str):
"""Simple evaluation of PEP 508 environment markers."""
if not marker_str:
return True
marker_str = marker_str.strip()
# Build environment dict
env_markers = {
'python_version': (sys.version_info.major, sys.version_info.minor),
'python_full_version': (
sys.version_info.major,
sys.version_info.minor,
sys.version_info.micro,
),
'platform_system': f'"{platform.system()}"',
'platform_machine': f'"{platform.machine()}"',
'sys_platform': f'"{sys.platform}"',
}
# Marker evaluation
try:
eval_str = marker_str
# Replace marker variables with their values
for key, value in env_markers.items():
eval_str = eval_str.replace(key, str(value))
def version_to_tuple(match):
version_str = match.group(1)
parts = version_str.split('.')
return '(' + ', '.join(parts) + ')'
eval_str = re.sub(
r'["\'](\d+(?:\.\d+)*)["\']', version_to_tuple, eval_str
)
return eval(eval_str)
except Exception as e:
raise RuntimeError(f"Failed to evaluate marker '{marker_str}': {e}")
for dependency in build_dependencies:
dependency = dependency.strip()
if not dependency or dependency.startswith('#'):
continue
# Split dependency spec and environment marker
if ';' in dependency:
dependency_spec, marker = dependency.split(';', 1)
dependency_spec = dependency_spec.strip()
marker = marker.strip()
# Evaluate marker - skip if not applicable to current environment
if not eval_marker(marker):
continue
else:
dependency_spec = dependency
# Remove version specifiers from dependency spec
dependency_name = re.sub(
r"==.*|>=.*|<=.*|~=.*|!=.*", '', dependency_spec
).strip()
python_dependencies_module.append(
normalize_package_name(dependency_name)
)
reqs = subprocess.check_output([sys.executable, '-m', 'pip', 'freeze'])
for r in reqs.split():
installed_packages.append(
normalize_package_name(r.decode().split('==')[0])
)
for dependency in python_dependencies_module:
if dependency.lower() not in installed_packages:
raise RuntimeError(missing_modules.format(dependency=dependency))
def install_cpp_dist_and_build_test(paddle_install_dir, paddle_lib_test_dir):
"""install cpp distribution and build test target
TODO(huangjiyi):
1. This function will be moved when separating C++ distribution
installation from python package installation.
2. Reduce the header and library files to be installed.
"""
if '${CMAKE_BUILD_TYPE}' != 'Release':
return
os.makedirs(paddle_install_dir, exist_ok=True)
# install C++ header files
for header in headers:
install_dir = get_header_install_dir(header)
install_dir = os.path.join(
paddle_install_dir, 'include', os.path.dirname(install_dir)
)
os.makedirs(install_dir, exist_ok=True)
shutil.copy(header, install_dir)
# install C++ shared libraries
lib_install_dir = os.path.join(paddle_install_dir, 'lib')
os.makedirs(lib_install_dir, exist_ok=True)
# install libpaddle.ext
paddle_libs = glob.glob('${PADDLE_BINARY_DIR}/paddle/fluid/pybind/${FLUID_CORE_NAME}.*')
for lib in paddle_libs:
shutil.copy(lib, lib_install_dir)
# install dependent libraries
libs_path = package_dir['paddle.libs']
for lib in package_data['paddle.libs']:
lib_path = os.path.join(libs_path, lib)
shutil.copy(lib_path, lib_install_dir)
# build test target
cmake_args = ["cmake", paddle_lib_test_dir, "-B", paddle_lib_test_dir]
if os.getenv("GENERATOR") == "Ninja":
cmake_args.append("-GNinja")
subprocess.check_call(cmake_args)
subprocess.check_call(["cmake", "--build", paddle_lib_test_dir])
# check build dependency
check_build_dependency()
# install cpp distribution
if '${WITH_CPP_DIST}' == 'ON':
paddle_install_dir = '${PADDLE_INSTALL_DIR}'
paddle_lib_test_dir = '${PADDLE_LIB_TEST_DIR}'
install_cpp_dist_and_build_test(paddle_install_dir, paddle_lib_test_dir)
# type hints
def get_typing_libs_packages(paddle_binary_dir):
"""get all libpaddle sub modules from 'python/paddle/_typing/libs/libpaddle'
e.g.
'paddle._typing.libs.libpaddle.pir'
'paddle._typing.libs.libpaddle.eager'
'paddle._typing.libs.libpaddle.eager.ops'
"""
base_dir = Path(paddle_binary_dir) / 'python'
libs_dir = base_dir / 'paddle' / '_typing' / 'libs' / 'libpaddle'
return [
'.'.join(str(Path(root).relative_to(base_dir)).split(os.sep))
for root, _, _ in os.walk(libs_dir)
]
def extend_type_hints_package_data(packages, package_data, paddle_binary_dir):
typing_libs_packages = get_typing_libs_packages(paddle_binary_dir)
# update packages
packages += typing_libs_packages
# update package_data
type_hints_files = {
'paddle': ['py.typed', '*.pyi'],
'paddle.framework': ['*.pyi'],
'paddle.base': ['*.pyi'],
'paddle.tensor': ['tensor.pyi'],
'paddle._typing': ['*.pyi'],
'paddle._typing.libs': ['*.pyi', '*.md'],
}
for libpaddle_module in typing_libs_packages:
type_hints_files[libpaddle_module] = ['*.pyi']
for pkg, files in type_hints_files.items():
if pkg not in package_data:
package_data[pkg] = []
package_data[pkg] += files
return packages, package_data
def generate_stub_files(paddle_binary_dir, paddle_source_dir):
script_path = paddle_source_dir + '/tools/'
sys.path.append(script_path)
print('-' * 2, 'Generate stub file tensor.pyi ... ')
import gen_tensor_stub
gen_tensor_stub.generate_stub_file(
input_file=paddle_source_dir
+ '/python/paddle/tensor/tensor.prototype.pyi',
output_file=paddle_binary_dir + '/python/paddle/tensor/tensor.pyi',
)
shutil.copy(
paddle_binary_dir + '/python/paddle/tensor/tensor.pyi',
paddle_source_dir + '/python/paddle/tensor/tensor.pyi',
)
print('-' * 2, 'End Generate stub file tensor.pyi ... ')
print('-' * 2, 'Generate stub file for python binding APIs ... ')
import gen_pybind11_stub
gen_pybind11_stub.generate_stub_file(
output_dir=str(Path(paddle_binary_dir) / 'python/paddle/_typing/libs/'),
module_name='paddle.base.libpaddle',
ignore_all_errors=True,
ops_yaml=[
paddle_source_dir
+ "/paddle/phi/ops/yaml/ops.yaml;paddle.base.libpaddle.eager.ops",
paddle_source_dir
+ "/paddle/phi/ops/yaml/ops.yaml;paddle.base.libpaddle.pir.ops",
paddle_source_dir
+ "/paddle/phi/ops/yaml/sparse_ops.yaml;paddle.base.libpaddle.eager.ops;sparse",
paddle_source_dir
+ "/paddle/phi/ops/yaml/sparse_ops.yaml;paddle.base.libpaddle.pir.ops;sparse",
paddle_source_dir
+ "/paddle/phi/ops/yaml/strings_ops.yaml;paddle.base.libpaddle.eager.ops;strings",
paddle_source_dir
+ "/paddle/phi/ops/yaml/strings_ops.yaml;paddle.base.libpaddle.pir.ops;strings",
],
python_api_info_yaml_path=paddle_source_dir
+ "/paddle/phi/ops/yaml/python_api_info.yaml",
)
libpaddle_dst = paddle_source_dir + '/python/paddle/_typing/libs/libpaddle'
if Path(libpaddle_dst).exists():
shutil.rmtree(libpaddle_dst)
shutil.copytree(
paddle_binary_dir + '/python/paddle/_typing/libs/libpaddle',
libpaddle_dst,
)
print('-' * 2, 'End Generate stub for python binding APIs ... ')
# generate stub file `tensor.pyi`
if os.getenv("SKIP_STUB_GEN", '').lower() not in [
'y',
'yes',
't',
'true',
'on',
'1',
]:
generate_stub_files('${PADDLE_BINARY_DIR}', '${PADDLE_SOURCE_DIR}')
packages, package_data = extend_type_hints_package_data(packages, package_data, '${PADDLE_BINARY_DIR}')
with redirect_stdout():
setup(name='${PACKAGE_NAME}',
version='${PADDLE_VERSION}',
description='Parallel Distributed Deep Learning',
long_description=long_description,
long_description_content_type="text/markdown",
author_email="Paddle-better@baidu.com",
maintainer="PaddlePaddle",
maintainer_email="Paddle-better@baidu.com",
project_urls = {
'Homepage': 'https://www.paddlepaddle.org.cn/',
'Downloads': 'https://github.com/paddlepaddle/paddle'
},
license='Apache Software License',
packages=packages,
install_requires=setup_requires,
ext_modules=ext_modules,
package_data=package_data,
package_dir=package_dir,
scripts=paddle_bins,
distclass=BinaryDistribution,
headers=headers,
cmdclass={
'install_headers': InstallHeaders,
'install': InstallCommand,
'egg_info': EggInfo,
},
entry_points={
'console_scripts': [
'fleetrun = paddle.distributed.launch.main:launch'
]
},
classifiers=[
'Development Status :: 5 - Production/Stable',
'Operating System :: OS Independent',
'Intended Audience :: Developers',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: Apache Software License',
'Programming Language :: C++',
'Programming Language :: Python :: 3.10',
'Programming Language :: Python :: 3.11',
'Programming Language :: Python :: 3.12',
'Programming Language :: Python :: 3.13',
'Programming Language :: Python :: 3.14',
'Typing :: Typed',
],
)
# As there are a lot of files in purelib which causes many logs,
# we don't print them on the screen, and you can open `setup.py.log`
# for the full logs.
if os.path.exists('${SETUP_LOG_FILE}'):
os.system('grep -v "purelib" ${SETUP_LOG_FILE}')
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