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build_amd.py
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build_amd.py
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#!/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/utils/cuda_prelude.cuh",
"third_party/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/stochastic_rounding.cuh",
"third_party/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/vec4.cuh",
"third_party/fbgemm/fbgemm_gpu/include/fbgemm_gpu/utils/weight_row.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/cpp_wrapper_cpu.py",
"torch/_inductor/codegen/cpp_wrapper_cuda.py",
"torch/_inductor/codegen/wrapper.py",
],
out_of_place_only=args.out_of_place_only,
hip_clang_launch=is_hip_clang(),
)