2025-08-11 12:24:21 +08:00

63 lines
1.8 KiB
Python

# Copyright 2018 The JAX Authors.
#
# 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
#
# https://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
# limitations under the License.
from typing import Any
import numpy as np
from .cpu import _lapack
from .cpu._lapack import eig
from .cpu._lapack import schur
EigComputationMode = eig.ComputationMode
SchurComputationMode = schur.ComputationMode
SchurSort = schur.Sort
LAPACK_DTYPE_PREFIX = {
np.float32: "s",
np.float64: "d",
np.complex64: "c",
np.complex128: "z",
}
def registrations() -> dict[str, list[tuple[str, Any, int]]]:
return {"cpu": [
(name, value, int(name.endswith("_ffi")))
for name, value in _lapack.registrations().items()
]}
def batch_partitionable_targets() -> list[str]:
return [name for name in _lapack.registrations() if name.endswith("_ffi")]
def prepare_lapack_call(fn_base, dtype):
"""Initializes the LAPACK library and returns the LAPACK target name."""
_lapack.initialize()
return build_lapack_fn_target(fn_base, dtype)
def build_lapack_fn_target(fn_base: str, dtype) -> str:
"""Builds the target name for a LAPACK function custom call."""
try:
prefix = (
LAPACK_DTYPE_PREFIX.get(dtype, None) or LAPACK_DTYPE_PREFIX[dtype.type]
)
return f"lapack_{prefix}{fn_base}"
except KeyError as err:
raise NotImplementedError(err, f"Unsupported dtype {dtype}.") from err