blob: 1e3d882b421905bd1a15a7972dff44320b1354f0 [file] [log] [blame]
#!/usr/bin/env python
from __future__ import absolute_import, division, print_function
import os
import subprocess
import argparse
from functools import reduce
from itertools import chain
from pyHIPIFY import hipify_python
parser = argparse.ArgumentParser(description='Top-level script for HIPifying, filling in most common parameters')
parser.add_argument(
'--out-of-place-only',
action='store_true',
help="Whether to only run hipify out-of-place on source files")
parser.add_argument(
'--project-directory',
type=str,
default='',
help="The root of the project.",
required=False)
parser.add_argument(
'--output-directory',
type=str,
default='',
help="The Directory to Store the Hipified Project",
required=False)
# Hipify using HIP-Clang launch.
parser.add_argument(
'--hip-clang-launch',
action='store_true',
help=argparse.SUPPRESS)
args = parser.parse_args()
amd_build_dir = os.path.dirname(os.path.realpath(__file__))
proj_dir = os.path.join(os.path.dirname(os.path.dirname(amd_build_dir)))
if args.project_directory:
proj_dir = args.project_directory
out_dir = proj_dir
if args.output_directory:
out_dir = args.output_directory
includes = [
"caffe2/operators/*",
"caffe2/sgd/*",
"caffe2/image/*",
"caffe2/transforms/*",
"caffe2/video/*",
"caffe2/distributed/*",
"caffe2/queue/*",
"caffe2/contrib/aten/*",
"binaries/*",
"caffe2/**/*_test*",
"caffe2/core/*",
"caffe2/db/*",
"caffe2/utils/*",
"c10/cuda/*",
"c10/cuda/test/CMakeLists.txt",
"modules/*",
# PyTorch paths
# Keep this synchronized with is_pytorch_file in hipify_python.py
"aten/src/ATen/cuda/*",
"aten/src/ATen/native/cuda/*",
"aten/src/ATen/native/cudnn/*",
"aten/src/ATen/native/sparse/cuda/*",
"aten/src/THC/*",
"aten/src/THCUNN/*",
"aten/src/ATen/test/*",
# CMakeLists.txt isn't processed by default, but there are a few
# we do want to handle, so explicitly specify them
"aten/src/THC/CMakeLists.txt",
"aten/src/THCUNN/CMakeLists.txt",
"torch/*",
"tools/autograd/templates/python_variable_methods.cpp",
]
ignores = [
"caffe2/operators/depthwise_3x3_conv_op_cudnn.cu",
"caffe2/operators/pool_op_cudnn.cu",
'*/hip/*',
# These files are compatible with both cuda and hip
"aten/src/ATen/core/*",
"torch/csrc/autograd/engine.cpp",
# generated files we shouldn't frob
"torch/lib/tmp_install/*",
"torch/include/*",
]
json_settings = os.path.join(amd_build_dir, "disabled_features.json")
if not args.out_of_place_only:
# Apply patch files in place (PyTorch only)
patch_folder = os.path.join(amd_build_dir, "patches")
for filename in os.listdir(os.path.join(amd_build_dir, "patches")):
subprocess.Popen(["git", "apply", os.path.join(patch_folder, filename)], cwd=proj_dir)
# Make various replacements inside AMD_BUILD/torch directory
ignore_files = [
# These files use nvrtc, hip doesn't have equivalent
"csrc/autograd/profiler.h",
"csrc/autograd/profiler.cpp",
# These files are compatible with both cuda and hip
"csrc/autograd/engine.cpp"
]
paths = ("torch", "tools")
for root, _directories, files in chain.from_iterable(os.walk(path) for path in paths):
for filename in files:
if filename.endswith(".cpp") or filename.endswith(".h"):
source = os.path.join(root, filename)
# Disabled files
if reduce(lambda result, exclude: source.endswith(exclude) or result, ignore_files, False):
continue
# Update contents.
with open(source, "r+") as f:
contents = f.read()
contents = contents.replace("USE_CUDA", "USE_ROCM")
contents = contents.replace("CUDA_VERSION", "0")
f.seek(0)
f.write(contents)
f.truncate()
f.flush()
os.fsync(f)
hipify_python.hipify(
project_directory=proj_dir,
output_directory=out_dir,
includes=includes,
ignores=ignores,
out_of_place_only=args.out_of_place_only,
json_settings=json_settings,
hip_clang_launch=args.hip_clang_launch)