def generate_code(ninja_global=None,
declarations_path=None,
nn_path=None,
native_functions_path=None,
install_dir=None,
subset=None,
disable_autograd=False,
force_schema_registration=False,
operator_selector=None):
from tools.autograd.gen_autograd import gen_autograd, gen_autograd_python
from tools.autograd.gen_annotated_fn_args import gen_annotated
from tools.jit.gen_unboxing_wrappers import gen_unboxing_wrappers
from tools.codegen.selective_build.selector import SelectiveBuilder
# Build ATen based Variable classes
if install_dir is None:
install_dir = 'torch/csrc'
python_install_dir = 'torch/testing/_internal/generated'
else:
python_install_dir = install_dir
autograd_gen_dir = os.path.join(install_dir, 'autograd', 'generated')
jit_gen_dir = os.path.join(install_dir, 'jit', 'generated')
for d in (autograd_gen_dir, jit_gen_dir, python_install_dir):
if not os.path.exists(d):
os.makedirs(d)
runfiles_dir = os.environ.get("RUNFILES_DIR", None)
data_dir = os.path.join(runfiles_dir, 'pytorch') if runfiles_dir else ''
autograd_dir = os.path.join(data_dir, 'tools', 'autograd')
tools_jit_templates = os.path.join(data_dir, 'tools', 'jit', 'templates')
if subset == "pybindings" or not subset:
gen_autograd_python(declarations_path or DECLARATIONS_PATH,
native_functions_path or NATIVE_FUNCTIONS_PATH,
autograd_gen_dir, autograd_dir)
if operator_selector is None:
operator_selector = SelectiveBuilder.get_nop_selector()
if subset == "libtorch" or not subset:
gen_autograd(
declarations_path or DECLARATIONS_PATH,
native_functions_path or NATIVE_FUNCTIONS_PATH,
autograd_gen_dir,
autograd_dir,
disable_autograd=disable_autograd,
operator_selector=operator_selector,
)
gen_unboxing_wrappers(
declarations_path or DECLARATIONS_PATH,
jit_gen_dir,
tools_jit_templates,
disable_autograd=disable_autograd,
operator_selector=operator_selector,
force_schema_registration=force_schema_registration)
if subset == "python" or not subset:
gen_annotated(declarations_path or DECLARATIONS_PATH,
python_install_dir, autograd_dir)
def generate_code(ninja_global=None,
declarations_path=None,
nn_path=None,
install_dir=None,
subset=None,
disable_autograd=False,
selected_op_list_path=None,
selected_op_list=None,
force_schema_registration=False):
# cwrap depends on pyyaml, so we can't import it earlier
root = os.path.dirname(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
sys.path.insert(0, root)
from tools.autograd.gen_autograd import gen_autograd, gen_autograd_python
from tools.autograd.gen_annotated_fn_args import gen_annotated
from tools.autograd.utils import load_op_list_and_strip_overload
from tools.jit.gen_unboxing_wrappers import gen_unboxing_wrappers
# Build ATen based Variable classes
if install_dir is None:
install_dir = 'torch/csrc'
python_install_dir = 'torch/testing/_internal/generated'
else:
python_install_dir = install_dir
autograd_gen_dir = os.path.join(install_dir, 'autograd', 'generated')
jit_gen_dir = os.path.join(install_dir, 'jit', 'generated')
for d in (autograd_gen_dir, jit_gen_dir, python_install_dir):
if not os.path.exists(d):
os.makedirs(d)
runfiles_dir = os.environ.get("RUNFILES_DIR", None)
data_dir = os.path.join(runfiles_dir, 'pytorch') if runfiles_dir else ''
autograd_dir = os.path.join(data_dir, 'tools', 'autograd')
tools_jit_templates = os.path.join(data_dir, 'tools', 'jit', 'templates')
if subset == "pybindings" or not subset:
gen_autograd_python(declarations_path or DECLARATIONS_PATH, autograd_gen_dir, autograd_dir)
if subset == "libtorch" or not subset:
selected_op_list = load_op_list_and_strip_overload(selected_op_list, selected_op_list_path)
gen_autograd(
declarations_path or DECLARATIONS_PATH,
autograd_gen_dir,
autograd_dir,
disable_autograd=disable_autograd,
selected_op_list=selected_op_list,
)
gen_unboxing_wrappers(
declarations_path or DECLARATIONS_PATH,
jit_gen_dir,
tools_jit_templates,
disable_autograd=disable_autograd,
selected_op_list=selected_op_list,
force_schema_registration=force_schema_registration)
if subset == "python" or not subset:
gen_annotated(
declarations_path or DECLARATIONS_PATH,
python_install_dir,
autograd_dir)
def generate_code(
gen_dir: pathlib.Path,
native_functions_path: Optional[str] = None,
tags_path: Optional[str] = None,
install_dir: Optional[str] = None,
subset: Optional[str] = None,
disable_autograd: bool = False,
force_schema_registration: bool = False,
operator_selector: Any = None,
) -> None:
from torchgen.selective_build.selector import SelectiveBuilder
from tools.autograd.gen_annotated_fn_args import gen_annotated
from tools.autograd.gen_autograd import gen_autograd, gen_autograd_python
# Build ATen based Variable classes
if install_dir is None:
install_dir = os.fspath(gen_dir / "torch/csrc")
python_install_dir = os.fspath(gen_dir /
"torch/testing/_internal/generated")
else:
python_install_dir = install_dir
autograd_gen_dir = os.path.join(install_dir, "autograd", "generated")
for d in (autograd_gen_dir, python_install_dir):
os.makedirs(d, exist_ok=True)
autograd_dir = os.fspath(pathlib.Path(__file__).parent.parent / "autograd")
if subset == "pybindings" or not subset:
gen_autograd_python(
native_functions_path or NATIVE_FUNCTIONS_PATH,
tags_path or TAGS_PATH,
autograd_gen_dir,
autograd_dir,
)
if operator_selector is None:
operator_selector = SelectiveBuilder.get_nop_selector()
if subset == "libtorch" or not subset:
gen_autograd(
native_functions_path or NATIVE_FUNCTIONS_PATH,
tags_path or TAGS_PATH,
autograd_gen_dir,
autograd_dir,
disable_autograd=disable_autograd,
operator_selector=operator_selector,
)
if subset == "python" or not subset:
gen_annotated(
native_functions_path or NATIVE_FUNCTIONS_PATH,
tags_path or TAGS_PATH,
python_install_dir,
autograd_dir,
)