pytorch/.circleci/cimodel/data/pytorch_build_data.py
Karl Ostmo cf82011361 Codegen CircleCI Windows configs (#38292)
Summary:
This is a step toward re-automating most of the CircleCI `config.yml` generation so that it can be safely refactored into multiple `workflow`s.
Pull Request resolved: https://github.com/pytorch/pytorch/pull/38292

Differential Revision: D21519337

Pulled By: kostmo

fbshipit-source-id: 09cc4f97ac52f37ef6d8a6fb8f49eeead052b446
2020-05-11 22:16:43 -07:00

241 lines
6.3 KiB
Python

from cimodel.lib.conf_tree import ConfigNode, X, XImportant
CONFIG_TREE_DATA = [
("xenial", [
(None, [
X("nightly"),
]),
("gcc", [
("5.4", [ # All this subtree rebases to master and then build
XImportant("3.6"),
("3.6", [
("parallel_tbb", [X(True)]),
("parallel_native", [X(True)]),
]),
]),
# TODO: bring back libtorch test
("7", [X("3.6")]),
]),
("clang", [
("5", [
XImportant("3.6"), # This is actually the ASAN build
]),
]),
("cuda", [
("9.2", [X("3.6")]),
("10.1", [X("3.6")]),
("10.2", [
XImportant("3.6"),
("3.6", [
("libtorch", [XImportant(True)])
]),
]),
]),
("android", [
("r19c", [
("3.6", [
("android_abi", [XImportant("x86_32")]),
("android_abi", [X("x86_64")]),
("android_abi", [X("arm-v7a")]),
("android_abi", [X("arm-v8a")]),
])
]),
]),
]),
("bionic", [
("clang", [
("9", [
XImportant("3.6"),
]),
("9", [
("3.6", [
("xla", [XImportant(True)]),
]),
]),
]),
]),
]
def get_major_pyver(dotted_version):
parts = dotted_version.split(".")
return "py" + parts[0]
class TreeConfigNode(ConfigNode):
def __init__(self, parent, node_name, subtree):
super(TreeConfigNode, self).__init__(parent, self.modify_label(node_name))
self.subtree = subtree
self.init2(node_name)
def modify_label(self, label):
return label
def init2(self, node_name):
pass
def get_children(self):
return [self.child_constructor()(self, k, v) for (k, v) in self.subtree]
class TopLevelNode(TreeConfigNode):
def __init__(self, node_name, subtree):
super(TopLevelNode, self).__init__(None, node_name, subtree)
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return DistroConfigNode
class DistroConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["distro_name"] = node_name
def child_constructor(self):
distro = self.find_prop("distro_name")
next_nodes = {
"xenial": XenialCompilerConfigNode,
"bionic": BionicCompilerConfigNode,
}
return next_nodes[distro]
class PyVerConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["pyver"] = node_name
self.props["abbreviated_pyver"] = get_major_pyver(node_name)
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return ExperimentalFeatureConfigNode
class ExperimentalFeatureConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["experimental_feature"] = node_name
def child_constructor(self):
experimental_feature = self.find_prop("experimental_feature")
next_nodes = {
"xla": XlaConfigNode,
"parallel_tbb": ParallelTBBConfigNode,
"parallel_native": ParallelNativeConfigNode,
"libtorch": LibTorchConfigNode,
"important": ImportantConfigNode,
"android_abi": AndroidAbiConfigNode,
}
return next_nodes[experimental_feature]
class XlaConfigNode(TreeConfigNode):
def modify_label(self, label):
return "XLA=" + str(label)
def init2(self, node_name):
self.props["is_xla"] = node_name
def child_constructor(self):
return ImportantConfigNode
class ParallelTBBConfigNode(TreeConfigNode):
def modify_label(self, label):
return "PARALLELTBB=" + str(label)
def init2(self, node_name):
self.props["parallel_backend"] = "paralleltbb"
def child_constructor(self):
return ImportantConfigNode
class ParallelNativeConfigNode(TreeConfigNode):
def modify_label(self, label):
return "PARALLELNATIVE=" + str(label)
def init2(self, node_name):
self.props["parallel_backend"] = "parallelnative"
def child_constructor(self):
return ImportantConfigNode
class LibTorchConfigNode(TreeConfigNode):
def modify_label(self, label):
return "BUILD_TEST_LIBTORCH=" + str(label)
def init2(self, node_name):
self.props["is_libtorch"] = node_name
def child_constructor(self):
return ImportantConfigNode
class AndroidAbiConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["android_abi"] = node_name
def child_constructor(self):
return ImportantConfigNode
class ImportantConfigNode(TreeConfigNode):
def modify_label(self, label):
return "IMPORTANT=" + str(label)
def init2(self, node_name):
self.props["is_important"] = node_name
def get_children(self):
return []
class XenialCompilerConfigNode(TreeConfigNode):
def modify_label(self, label):
return label or "<unspecified>"
def init2(self, node_name):
self.props["compiler_name"] = node_name
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return XenialCompilerVersionConfigNode if self.props["compiler_name"] else PyVerConfigNode
class BionicCompilerConfigNode(TreeConfigNode):
def modify_label(self, label):
return label or "<unspecified>"
def init2(self, node_name):
self.props["compiler_name"] = node_name
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return BionicCompilerVersionConfigNode if self.props["compiler_name"] else PyVerConfigNode
class XenialCompilerVersionConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["compiler_version"] = node_name
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return PyVerConfigNode
class BionicCompilerVersionConfigNode(TreeConfigNode):
def init2(self, node_name):
self.props["compiler_version"] = node_name
# noinspection PyMethodMayBeStatic
def child_constructor(self):
return PyVerConfigNode