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# Copyright (c) Meta Platforms, Inc. and affiliates.
# All rights reserved.
#
# This source code is licensed under the BSD-style license found in the
# LICENSE file in the root directory of this source tree.
import os.path
import runpy
import subprocess
from typing import List
# required env vars:
# CU_VERSION: E.g. cu112
# JUST_TESTRUN: 1 to not set nvcc flags
# PYTORCH_VERSION: e.g. 1.12.0
# PYTHON_VERSION: e.g. 3.9
# should be run from pytorch3d root
CU_VERSION = os.environ["CU_VERSION"]
PYTORCH_VERSION = os.environ["PYTORCH_VERSION"]
pytorch_major_minor = tuple(int(i) for i in PYTORCH_VERSION.split(".")[:2])
source_root_dir = os.environ["PWD"]
def version_constraint(version):
"""
Given version "11.3" returns " >=11.3,<11.4"
"""
last_part = version.rindex(".") + 1
upper = version[:last_part] + str(1 + int(version[last_part:]))
return f" >={version},<{upper}"
def get_cuda_major_minor():
if CU_VERSION == "cpu":
raise ValueError("fn only for cuda builds")
if len(CU_VERSION) != 5 or CU_VERSION[:2] != "cu":
raise ValueError(f"Bad CU_VERSION {CU_VERSION}")
major = CU_VERSION[2:4]
minor = CU_VERSION[4]
return major, minor
def setup_cuda():
if CU_VERSION == "cpu":
return
major, minor = get_cuda_major_minor()
os.environ["CUDA_HOME"] = f"/usr/local/cuda-{major}.{minor}/"
os.environ["FORCE_CUDA"] = "1"
basic_nvcc_flags = (
"-gencode=arch=compute_50,code=sm_50 "
"-gencode=arch=compute_60,code=sm_60 "
"-gencode=arch=compute_70,code=sm_70 "
"-gencode=arch=compute_75,code=sm_75 "
"-gencode=arch=compute_50,code=compute_50"
)
if CU_VERSION == "cu102":
nvcc_flags = "-gencode=arch=compute_35,code=sm_35 " + basic_nvcc_flags
elif CU_VERSION < ("cu118"):
nvcc_flags = (
"-gencode=arch=compute_35,code=sm_35 "
+ "-gencode=arch=compute_80,code=sm_80 "
+ "-gencode=arch=compute_86,code=sm_86 "
+ basic_nvcc_flags
)
else:
nvcc_flags = (
"-gencode=arch=compute_80,code=sm_80 "
+ "-gencode=arch=compute_86,code=sm_86 "
+ "-gencode=arch=compute_90,code=sm_90 "
+ basic_nvcc_flags
)
if os.environ.get("JUST_TESTRUN", "0") != "1":
os.environ["NVCC_FLAGS"] = nvcc_flags
def setup_conda_pytorch_constraint() -> List[str]:
pytorch_constraint = f"- pytorch=={PYTORCH_VERSION}"
os.environ["CONDA_PYTORCH_CONSTRAINT"] = pytorch_constraint
os.environ["CONDA_PYTORCH_BUILD_CONSTRAINT"] = pytorch_constraint
os.environ["PYTORCH_VERSION_NODOT"] = PYTORCH_VERSION.replace(".", "")
if pytorch_major_minor < (1, 13):
return ["-c", "pytorch"]
else:
return ["-c", "pytorch", "-c", "nvidia"]
def setup_conda_cudatoolkit_constraint():
if CU_VERSION == "cpu":
os.environ["CONDA_CPUONLY_FEATURE"] = "- cpuonly"
os.environ["CONDA_CUDATOOLKIT_CONSTRAINT"] = ""
return
os.environ["CONDA_CPUONLY_FEATURE"] = ""
if CU_VERSION in ("cu102", "cu110"):
os.environ["CONDA_CUB_CONSTRAINT"] = "- nvidiacub"
else:
os.environ["CONDA_CUB_CONSTRAINT"] = ""
major, minor = get_cuda_major_minor()
version_clause = version_constraint(f"{major}.{minor}")
if pytorch_major_minor < (1, 13):
toolkit = f"- cudatoolkit {version_clause}"
else:
toolkit = f"- pytorch-cuda {version_clause}"
os.environ["CONDA_CUDATOOLKIT_CONSTRAINT"] = toolkit
def do_build(start_args: List[str]):
args = start_args.copy()
test_flag = os.environ.get("TEST_FLAG")
if test_flag is not None:
args.append(test_flag)
args.extend(["-c", "bottler", "-c", "fvcore", "-c", "iopath", "-c", "conda-forge"])
args.append("--no-anaconda-upload")
args.extend(["--python", os.environ["PYTHON_VERSION"]])
args.append("packaging/pytorch3d")
print(args)
subprocess.check_call(args)
if __name__ == "__main__":
args = ["conda", "build"]
setup_cuda()
init_path = source_root_dir + "/pytorch3d/__init__.py"
build_version = runpy.run_path(init_path)["__version__"]
os.environ["BUILD_VERSION"] = build_version
os.environ["SOURCE_ROOT_DIR"] = source_root_dir
args += setup_conda_pytorch_constraint()
setup_conda_cudatoolkit_constraint()
do_build(args)
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