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Tianqi Chen 96cba60464 [PYTHON] Autoload backends; simplify library loading; remove TVMError for native errors (#19727)
This PR adds an autoload mechanism for out-of-tree backends, simplifies
TVM's Python library loading, and removes `TVMError` in favor of native
Python errors.

## Autoload out-of-tree backends

Out-of-tree packages can register an autoload callable under the
`tvm.backends` entry-point group (mirroring torch's device-backend
autoload). At `import tvm` startup each entry point is discovered and
its callable invoked once, after the core runtime and the `tvm`
namespace are fully initialized, so an extension can register
ops/targets/funcs or load extra libraries.

```toml
[project.entry-points."tvm.backends"]
tvm_foo = "tvm_foo:_autoload"
```

A failing extension is caught and surfaced via `warnings.warn` so it
cannot break `import tvm`. Autoload can be disabled with
`TVM_DEVICE_BACKEND_AUTOLOAD=0`.

## Simplify library loading

The library-loading path in `base.py` is consolidated around a single
`_LOADED_LIBS` dict (basename to ctypes handle) so downstream and
autoloaded extensions can skip already-loaded libraries; the per-backend
runtime DSO list is folded into `load_backend_libs`. Accumulated cruft
is removed: the Python-3.9 check, the readline shim, the `_FFI_MODE`
ctypes check, the `base.__version__` re-export, and `py_str` (call sites
inline `.decode("utf-8")`).

## Remove TVMError in favor of native Python errors

`TVMError` added a layer atop `RuntimeError` that downstream code had to
import and learn. It is removed; the registered FFI error kinds
(`InternalError`, `RPCError`, `OpError`, `DiagnosticError`,
`ScheduleError`) now subclass `RuntimeError` directly while staying
registered, so the FFI keeps throwing the right kinds. All `TVMError`
imports, `except`/`raise`/`isinstance` uses, and
`pytest.raises(tvm.TVMError)` sites move to the `RuntimeError` builtin.
2026-06-11 13:50:38 -04:00

167 lines
4.8 KiB
Python

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"""Util to invoke NDK compiler toolchain."""
# pylint: disable=invalid-name
import os
import shutil
import subprocess
import tempfile
from pathlib import Path
from tvm_ffi import register_global_func
from . import cc as _cc
from . import tar as _tar
from . import utils as _utils
from .cc import get_target_by_dump_machine
def create_shared(output, objects, options=None):
"""Create shared library.
Parameters
----------
output : str
The target shared library.
objects : list
List of object files.
options : list of str, optional
The additional options.
"""
if "TVM_NDK_CC" not in os.environ:
raise RuntimeError(
"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
)
compiler = os.environ["TVM_NDK_CC"]
cmd = [compiler]
cmd += ["-o", output]
if isinstance(objects, str):
cmd += [objects]
else:
cmd += objects
options = options if options else ["-shared", "-fPIC", "-lm"]
cmd += options
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
(out, _) = proc.communicate()
if proc.returncode != 0:
msg = "Compilation error:\n"
msg += out.decode("utf-8", errors="replace")
raise RuntimeError(msg)
# assign output format
create_shared.output_format = "so"
create_shared.get_target_triple = (
get_target_by_dump_machine(os.environ["TVM_NDK_CC"]) if "TVM_NDK_CC" in os.environ else None
)
def create_staticlib(output, inputs):
"""Create static library:
Parameters
----------
output : str
The target static library.
inputs : list
List of object files or tar files
"""
if "TVM_NDK_CC" not in os.environ:
raise RuntimeError(
"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
)
output_name = os.path.basename(output)
temp = _utils.tempdir()
tmp_output = temp.relpath("lib" + output_name)
objects = _tar.normalize_file_list_by_unpacking_tars(temp, inputs)
compiler = os.environ["TVM_NDK_CC"]
base_path = os.path.dirname(compiler)
ar_path = os.path.join(base_path, "llvm-ar")
cmd = [ar_path]
cmd += ["qcs", tmp_output]
cmd += objects
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
(out, _) = proc.communicate()
if proc.returncode != 0:
msg = "AR error:\n"
msg += out.decode("utf-8", errors="replace")
msg += "\nCommand line: " + " ".join(cmd)
raise RuntimeError(msg)
ranlib_path = os.path.join(base_path, "llvm-ranlib")
cmd = [ranlib_path]
cmd += [tmp_output]
proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
(out, _) = proc.communicate()
if proc.returncode != 0:
msg = "Ranlib error:\n"
msg += out.decode("utf-8", errors="replace")
msg += "\nCommand line: " + " ".join(cmd)
raise RuntimeError(msg)
shutil.move(tmp_output, output)
create_staticlib.output_format = "a"
def get_global_symbol_section_map(path, *, nm=None) -> dict[str, str]:
"""Get global symbols from a library via nm -gU in NDK
Parameters
----------
path : str
The library path
nm: str
The path to nm command
Returns
-------
symbol_section_map: Dict[str, str]
A map from defined global symbol to their sections
"""
if "TVM_NDK_CC" not in os.environ:
raise RuntimeError(
"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
)
if nm is None:
compiler = os.environ["TVM_NDK_CC"]
base_path = os.path.dirname(compiler)
nm = os.path.join(base_path, "llvm-nm")
return _cc.get_global_symbol_section_map(path, nm=nm)
@register_global_func("s_tir.meta_schedule.builder.export_ndk")
def _ndk_export(mod):
tmp_dir = tempfile.mkdtemp()
binary_name = "tmp_binary.so"
binary_path = Path(tmp_dir) / binary_name
mod.export_library(binary_path, fcompile=create_shared)
return str(binary_path)