build_amd.py

#!/usr/bin/env python3


import argparse
import os
import sys

sys.path.append(
    os.path.realpath(
        os.path.join(
            __file__, os.path.pardir, os.path.pardir, os.path.pardir, "torch", "utils"
        )
    )
)

from hipify import hipify_python  # type: ignore[import]

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,
)

parser.add_argument(
    "--extra-include-dir",
    type=str,
    default=[],
    nargs="+",
    help="The list of extra directories in caffe2 to hipify",
    required=False,
)

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/*",
    "caffe2/contrib/gloo/*",
    "caffe2/contrib/nccl/*",
    "c10/cuda/*",
    "c10/cuda/test/CMakeLists.txt",
    "modules/*",
    "third_party/nvfuser/*",
    # 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/quantized/cudnn/*",
    "aten/src/ATen/native/nested/cuda/*",
    "aten/src/ATen/native/sparse/cuda/*",
    "aten/src/ATen/native/quantized/cuda/*",
    "aten/src/ATen/native/transformers/cuda/attention_backward.cu",
    "aten/src/ATen/native/transformers/cuda/attention.cu",
    "aten/src/ATen/native/transformers/cuda/sdp_utils.cpp",
    "aten/src/ATen/native/transformers/cuda/sdp_utils.h",
    "aten/src/ATen/native/transformers/cuda/mem_eff_attention/debug_utils.h",
    "aten/src/ATen/native/transformers/cuda/mem_eff_attention/gemm_kernel_utils.h",
    "aten/src/ATen/native/transformers/cuda/mem_eff_attention/pytorch_utils.h",
    "aten/src/ATen/native/transformers/cuda/flash_attn/flash_api.h",
    "aten/src/THC/*",
    "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",
    "torch/*",
    "tools/autograd/templates/python_variable_methods.cpp",
]

includes = [os.path.join(proj_dir, include) for include in includes]

for new_dir in args.extra_include_dir:
    abs_new_dir = os.path.join(proj_dir, new_dir)
    if os.path.exists(abs_new_dir):
        abs_new_dir = os.path.join(abs_new_dir, "**/*")
        includes.append(abs_new_dir)

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/*",
    # Correct path to generate HIPConfig.h:
    #   CUDAConfig.h.in -> (amd_build) HIPConfig.h.in -> (cmake) HIPConfig.h
    "aten/src/ATen/cuda/CUDAConfig.h",
    "third_party/nvfuser/csrc/codegen.cpp",
    "third_party/nvfuser/runtime/block_reduction.cu",
    "third_party/nvfuser/runtime/block_sync_atomic.cu",
    "third_party/nvfuser/runtime/block_sync_default_rocm.cu",
    "third_party/nvfuser/runtime/broadcast.cu",
    "third_party/nvfuser/runtime/grid_reduction.cu",
    "third_party/nvfuser/runtime/helpers.cu",
    "torch/csrc/jit/codegen/fuser/cuda/resource_strings.h",
    "torch/csrc/jit/tensorexpr/ir_printer.cpp",
    # generated files we shouldn't frob
    "torch/lib/tmp_install/*",
    "torch/include/*",
]

ignores = [os.path.join(proj_dir, ignore) for ignore in ignores]


# Check if the compiler is hip-clang.
def is_hip_clang() -> bool:
    try:
        hip_path = os.getenv("HIP_PATH", "/opt/rocm/hip")
        with open(hip_path + "/lib/.hipInfo") as f:
            return "HIP_COMPILER=clang" in f.read()
    except OSError:
        return False


# TODO Remove once the following submodules are updated
hip_platform_files = [
    "third_party/fbgemm/fbgemm_gpu/CMakeLists.txt",
    "third_party/fbgemm/fbgemm_gpu/cmake/Hip.cmake",
    "third_party/fbgemm/fbgemm_gpu/codegen/embedding_backward_dense_host.cpp",
    "third_party/fbgemm/fbgemm_gpu/codegen/embedding_backward_split_host_template.cpp",
    "third_party/fbgemm/fbgemm_gpu/codegen/embedding_backward_split_template.cu",
    "third_party/fbgemm/fbgemm_gpu/codegen/embedding_forward_quantized_split_lookup.cu",
    "third_party/fbgemm/fbgemm_gpu/include/fbgemm_gpu/fbgemm_cuda_utils.cuh",
    "third_party/fbgemm/fbgemm_gpu/include/fbgemm_gpu/sparse_ops.cuh",
    "third_party/fbgemm/fbgemm_gpu/src/jagged_tensor_ops.cu",
    "third_party/fbgemm/fbgemm_gpu/src/quantize_ops.cu",
    "third_party/fbgemm/fbgemm_gpu/src/sparse_ops.cu",
    "third_party/fbgemm/fbgemm_gpu/src/split_embeddings_cache_cuda.cu",
    "third_party/fbgemm/fbgemm_gpu/src/topology_utils.cpp",
    "third_party/fbgemm/src/EmbeddingSpMDM.cc",
    "third_party/gloo/cmake/Dependencies.cmake",
    "third_party/gloo/gloo/cuda.cu",
    "third_party/kineto/libkineto/CMakeLists.txt",
    "third_party/nvfuser/CMakeLists.txt",
    "third_party/tensorpipe/cmake/Hip.cmake",
]


def remove_hcc(line: str) -> str:
    line = line.replace("HIP_PLATFORM_HCC", "HIP_PLATFORM_AMD")
    line = line.replace("HIP_HCC_FLAGS", "HIP_CLANG_FLAGS")
    return line


for hip_platform_file in hip_platform_files:
    do_write = False
    if os.path.exists(hip_platform_file):
        with open(hip_platform_file) as sources:
            lines = sources.readlines()
        newlines = [remove_hcc(line) for line in lines]
        if lines == newlines:
            print(f"{hip_platform_file} skipped")
        else:
            with open(hip_platform_file, "w") as sources:
                for line in newlines:
                    sources.write(line)
            print(f"{hip_platform_file} updated")

hipify_python.hipify(
    project_directory=proj_dir,
    output_directory=out_dir,
    includes=includes,
    ignores=ignores,
    extra_files=["torch/_inductor/codegen/wrapper.py"],
    out_of_place_only=args.out_of_place_only,
    hip_clang_launch=is_hip_clang(),
)