transformers_4_35_0/models/deformable_detr/load_custom.py

# coding=utf-8
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
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""" Loading of Deformable DETR's CUDA kernels"""
import os
from pathlib import Path


def load_cuda_kernels():
    from torch.utils.cpp_extension import load

    root = Path(__file__).resolve().parent.parent.parent / "kernels" / "deformable_detr"
    src_files = [
        root / filename
        for filename in [
            "vision.cpp",
            os.path.join("cpu", "ms_deform_attn_cpu.cpp"),
            os.path.join("cuda", "ms_deform_attn_cuda.cu"),
        ]
    ]

    load(
        "MultiScaleDeformableAttention",
        src_files,
        with_cuda=True,
        extra_include_paths=[str(root)],
        extra_cflags=["-DWITH_CUDA=1"],
        extra_cuda_cflags=[
            "-DCUDA_HAS_FP16=1",
            "-D__CUDA_NO_HALF_OPERATORS__",
            "-D__CUDA_NO_HALF_CONVERSIONS__",
            "-D__CUDA_NO_HALF2_OPERATORS__",
        ],
    )

    import MultiScaleDeformableAttention as MSDA

    return MSDA