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binary_build_data.py
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binary_build_data.py
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"""
This module models the tree of configuration variants
for "smoketest" builds.
Each subclass of ConfigNode represents a layer of the configuration hierarchy.
These tree nodes encapsulate the logic for whether a branch of the hierarchy
should be "pruned".
"""
from collections import OrderedDict
from cimodel.lib.conf_tree import ConfigNode
import cimodel.data.dimensions as dimensions
LINKING_DIMENSIONS = [
"shared",
"static",
]
DEPS_INCLUSION_DIMENSIONS = [
"with-deps",
"without-deps",
]
def get_processor_arch_name(gpu_version):
return "cpu" if not gpu_version else (
"cu" + gpu_version.strip("cuda") if gpu_version.startswith("cuda") else gpu_version
)
LINUX_PACKAGE_VARIANTS = OrderedDict(
manywheel=[
"3.6m",
"3.7m",
"3.8m",
],
conda=dimensions.STANDARD_PYTHON_VERSIONS,
libtorch=[
"3.7m",
],
)
CONFIG_TREE_DATA = OrderedDict(
linux=(dimensions.GPU_VERSIONS, LINUX_PACKAGE_VARIANTS),
macos=([None], OrderedDict(
wheel=dimensions.STANDARD_PYTHON_VERSIONS,
conda=dimensions.STANDARD_PYTHON_VERSIONS,
libtorch=[
"3.7",
],
)),
# Skip CUDA-9.2 builds on Windows
windows=(
[v for v in dimensions.GPU_VERSIONS if v not in ['cuda92'] + dimensions.ROCM_VERSION_LABELS],
OrderedDict(
wheel=dimensions.STANDARD_PYTHON_VERSIONS,
conda=dimensions.STANDARD_PYTHON_VERSIONS,
libtorch=[
"3.7",
],
)
),
)
# GCC config variants:
#
# All the nightlies (except libtorch with new gcc ABI) are built with devtoolset7,
# which can only build with old gcc ABI. It is better than devtoolset3
# because it understands avx512, which is needed for good fbgemm performance.
#
# Libtorch with new gcc ABI is built with gcc 5.4 on Ubuntu 16.04.
LINUX_GCC_CONFIG_VARIANTS = OrderedDict(
manywheel=['devtoolset7'],
conda=['devtoolset7'],
libtorch=[
"devtoolset7",
"gcc5.4_cxx11-abi",
],
)
WINDOWS_LIBTORCH_CONFIG_VARIANTS = [
"debug",
"release",
]
class TopLevelNode(ConfigNode):
def __init__(self, node_name, config_tree_data, smoke):
super(TopLevelNode, self).__init__(None, node_name)
self.config_tree_data = config_tree_data
self.props["smoke"] = smoke
def get_children(self):
return [OSConfigNode(self, x, c, p) for (x, (c, p)) in self.config_tree_data.items()]
class OSConfigNode(ConfigNode):
def __init__(self, parent, os_name, gpu_versions, py_tree):
super(OSConfigNode, self).__init__(parent, os_name)
self.py_tree = py_tree
self.props["os_name"] = os_name
self.props["gpu_versions"] = gpu_versions
def get_children(self):
return [PackageFormatConfigNode(self, k, v) for k, v in self.py_tree.items()]
class PackageFormatConfigNode(ConfigNode):
def __init__(self, parent, package_format, python_versions):
super(PackageFormatConfigNode, self).__init__(parent, package_format)
self.props["python_versions"] = python_versions
self.props["package_format"] = package_format
def get_children(self):
if self.find_prop("os_name") == "linux":
return [LinuxGccConfigNode(self, v) for v in LINUX_GCC_CONFIG_VARIANTS[self.find_prop("package_format")]]
elif self.find_prop("os_name") == "windows" and self.find_prop("package_format") == "libtorch":
return [WindowsLibtorchConfigNode(self, v) for v in WINDOWS_LIBTORCH_CONFIG_VARIANTS]
else:
return [ArchConfigNode(self, v) for v in self.find_prop("gpu_versions")]
class LinuxGccConfigNode(ConfigNode):
def __init__(self, parent, gcc_config_variant):
super(LinuxGccConfigNode, self).__init__(parent, "GCC_CONFIG_VARIANT=" + str(gcc_config_variant))
self.props["gcc_config_variant"] = gcc_config_variant
def get_children(self):
gpu_versions = self.find_prop("gpu_versions")
# XXX devtoolset7 on CUDA 9.0 is temporarily disabled
# see https://github.com/pytorch/pytorch/issues/20066
if self.find_prop("gcc_config_variant") == 'devtoolset7':
gpu_versions = filter(lambda x: x != "cuda_90", gpu_versions)
# XXX disabling conda rocm build since docker images are not there
if self.find_prop("package_format") == 'conda':
gpu_versions = filter(lambda x: x not in dimensions.ROCM_VERSION_LABELS, gpu_versions)
# XXX libtorch rocm build is temporarily disabled
if self.find_prop("package_format") == 'libtorch':
gpu_versions = filter(lambda x: x not in dimensions.ROCM_VERSION_LABELS, gpu_versions)
return [ArchConfigNode(self, v) for v in gpu_versions]
class WindowsLibtorchConfigNode(ConfigNode):
def __init__(self, parent, libtorch_config_variant):
super(WindowsLibtorchConfigNode, self).__init__(parent, "LIBTORCH_CONFIG_VARIANT=" + str(libtorch_config_variant))
self.props["libtorch_config_variant"] = libtorch_config_variant
def get_children(self):
return [ArchConfigNode(self, v) for v in self.find_prop("gpu_versions")]
class ArchConfigNode(ConfigNode):
def __init__(self, parent, gpu):
super(ArchConfigNode, self).__init__(parent, get_processor_arch_name(gpu))
self.props["gpu"] = gpu
def get_children(self):
return [PyVersionConfigNode(self, v) for v in self.find_prop("python_versions")]
class PyVersionConfigNode(ConfigNode):
def __init__(self, parent, pyver):
super(PyVersionConfigNode, self).__init__(parent, pyver)
self.props["pyver"] = pyver
def get_children(self):
package_format = self.find_prop("package_format")
os_name = self.find_prop("os_name")
has_libtorch_variants = package_format == "libtorch" and os_name == "linux"
linking_variants = LINKING_DIMENSIONS if has_libtorch_variants else []
return [LinkingVariantConfigNode(self, v) for v in linking_variants]
class LinkingVariantConfigNode(ConfigNode):
def __init__(self, parent, linking_variant):
super(LinkingVariantConfigNode, self).__init__(parent, linking_variant)
def get_children(self):
return [DependencyInclusionConfigNode(self, v) for v in DEPS_INCLUSION_DIMENSIONS]
class DependencyInclusionConfigNode(ConfigNode):
def __init__(self, parent, deps_variant):
super(DependencyInclusionConfigNode, self).__init__(parent, deps_variant)
self.props["libtorch_variant"] = "-".join([self.parent.get_label(), self.get_label()])