96cba60464
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.
167 lines
4.8 KiB
Python
167 lines
4.8 KiB
Python
# Licensed to the Apache Software Foundation (ASF) under one
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# or more contributor license agreements. See the NOTICE file
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# distributed with this work for additional information
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# regarding copyright ownership. The ASF licenses this file
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# to you under the Apache License, Version 2.0 (the
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# "License"); you may not use this file except in compliance
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# with the License. You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing,
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# software distributed under the License is distributed on an
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# "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY
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# KIND, either express or implied. See the License for the
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# specific language governing permissions and limitations
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# under the License.
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"""Util to invoke NDK compiler toolchain."""
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# pylint: disable=invalid-name
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import os
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import shutil
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import subprocess
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import tempfile
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from pathlib import Path
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from tvm_ffi import register_global_func
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from . import cc as _cc
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from . import tar as _tar
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from . import utils as _utils
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from .cc import get_target_by_dump_machine
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def create_shared(output, objects, options=None):
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"""Create shared library.
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Parameters
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----------
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output : str
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The target shared library.
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objects : list
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List of object files.
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options : list of str, optional
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The additional options.
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"""
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if "TVM_NDK_CC" not in os.environ:
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raise RuntimeError(
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"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
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)
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compiler = os.environ["TVM_NDK_CC"]
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cmd = [compiler]
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cmd += ["-o", output]
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if isinstance(objects, str):
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cmd += [objects]
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else:
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cmd += objects
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options = options if options else ["-shared", "-fPIC", "-lm"]
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cmd += options
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
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(out, _) = proc.communicate()
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if proc.returncode != 0:
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msg = "Compilation error:\n"
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msg += out.decode("utf-8", errors="replace")
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raise RuntimeError(msg)
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# assign output format
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create_shared.output_format = "so"
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create_shared.get_target_triple = (
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get_target_by_dump_machine(os.environ["TVM_NDK_CC"]) if "TVM_NDK_CC" in os.environ else None
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)
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def create_staticlib(output, inputs):
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"""Create static library:
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Parameters
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----------
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output : str
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The target static library.
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inputs : list
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List of object files or tar files
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"""
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if "TVM_NDK_CC" not in os.environ:
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raise RuntimeError(
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"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
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)
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output_name = os.path.basename(output)
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temp = _utils.tempdir()
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tmp_output = temp.relpath("lib" + output_name)
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objects = _tar.normalize_file_list_by_unpacking_tars(temp, inputs)
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compiler = os.environ["TVM_NDK_CC"]
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base_path = os.path.dirname(compiler)
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ar_path = os.path.join(base_path, "llvm-ar")
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cmd = [ar_path]
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cmd += ["qcs", tmp_output]
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cmd += objects
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
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(out, _) = proc.communicate()
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if proc.returncode != 0:
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msg = "AR error:\n"
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msg += out.decode("utf-8", errors="replace")
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msg += "\nCommand line: " + " ".join(cmd)
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raise RuntimeError(msg)
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ranlib_path = os.path.join(base_path, "llvm-ranlib")
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cmd = [ranlib_path]
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cmd += [tmp_output]
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proc = subprocess.Popen(cmd, stdout=subprocess.PIPE, stderr=subprocess.STDOUT)
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(out, _) = proc.communicate()
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if proc.returncode != 0:
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msg = "Ranlib error:\n"
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msg += out.decode("utf-8", errors="replace")
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msg += "\nCommand line: " + " ".join(cmd)
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raise RuntimeError(msg)
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shutil.move(tmp_output, output)
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create_staticlib.output_format = "a"
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def get_global_symbol_section_map(path, *, nm=None) -> dict[str, str]:
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"""Get global symbols from a library via nm -gU in NDK
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Parameters
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----------
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path : str
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The library path
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nm: str
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The path to nm command
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Returns
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-------
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symbol_section_map: Dict[str, str]
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A map from defined global symbol to their sections
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"""
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if "TVM_NDK_CC" not in os.environ:
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raise RuntimeError(
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"Require environment variable TVM_NDK_CC to be the NDK standalone compiler"
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)
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if nm is None:
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compiler = os.environ["TVM_NDK_CC"]
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base_path = os.path.dirname(compiler)
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nm = os.path.join(base_path, "llvm-nm")
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return _cc.get_global_symbol_section_map(path, nm=nm)
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@register_global_func("s_tir.meta_schedule.builder.export_ndk")
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def _ndk_export(mod):
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tmp_dir = tempfile.mkdtemp()
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binary_name = "tmp_binary.so"
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binary_path = Path(tmp_dir) / binary_name
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mod.export_library(binary_path, fcompile=create_shared)
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return str(binary_path)
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