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# to you under the Apache License, Version 2.0 (the
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#
#   http://www.apache.org/licenses/LICENSE-2.0
#
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"""CUDA-owned TIRx modules."""

from importlib import import_module
from pathlib import Path

from tvm_ffi.libinfo import load_lib_ctypes

from tvm.base import _LOADED_LIBS

_LAZY_SUBMODULES = {"lang", "op", "operator", "script", "target_tags"}


def _detect_target_from_device(dev):
    from tvm.target import Target  # pylint: disable=import-outside-toplevel

    return Target(
        {
            "kind": "cuda",
            "max_shared_memory_per_block": dev.max_shared_memory_per_block,
            "max_threads_per_block": dev.max_threads_per_block,
            "thread_warp_size": dev.warp_size,
            "arch": "sm_" + dev.compute_version.replace(".", ""),
        }
    )


def register_backend():
    """Register CUDA-owned Python semantics."""
    from tvm.target.detect_target import register_device_target_detector
    from tvm.tirx.script.builder import ir as builder_ir  # pylint: disable=import-outside-toplevel

    runtime_dir = Path(_LOADED_LIBS["tvm_runtime"]._name).resolve().parent
    try:
        # Runtime sidecars only need registration side effects; libtvm_runtime is global.
        _LOADED_LIBS["tvm_runtime_cuda"] = load_lib_ctypes(
            package="tvm",
            target_name="tvm_runtime_cuda",
            extra_lib_paths=[runtime_dir],
            mode="RTLD_LOCAL",
        )
    except (OSError, FileNotFoundError, RuntimeError):
        pass
    register_device_target_detector("cuda", _detect_target_from_device)
    for name, namespace in script_namespaces().items():
        builder_ir.register_script_namespace(name, namespace)

    import_module(f"{__name__}.operator.intrinsics")
    import_module(f"{__name__}.operator.tile_primitive")
    import_module(f"{__name__}.target_tags")


def script_namespaces(**_):
    """Return CUDA-owned TVMScript namespaces."""
    from .script import (  # pylint: disable=import-outside-toplevel
        CUDANamespace,
        NVSHMEMNamespace,
        PTXNamespace,
    )

    return {
        "cuda": CUDANamespace(),
        "nvshmem": NVSHMEMNamespace(),
        "ptx": PTXNamespace(),
    }


def script_namespace(**kwargs):
    """Return the CUDA TVMScript namespace object."""
    return script_namespaces(**kwargs)["cuda"]


def __getattr__(name: str):
    if name in _LAZY_SUBMODULES:
        return import_module(f"{__name__}.{name}")
    raise AttributeError(f"module {__name__!r} has no attribute {name!r}")


__all__ = [
    "lang",
    "op",
    "operator",
    "register_backend",
    "script",
    "script_namespace",
    "script_namespaces",
    "target_tags",
]