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21884d4a14
My motivation here is to fix the plugin support for batch partitionable custom calls. Since plugin support for custom call partitioners is provided via register_plugin_callback in xla_bridge, instead of xla_client itself, it's much more straightforward to register the custom calls in JAX. It would be possible to refactor things differently, but it actually seems like a reasonable choice to use the supported APIs from `jax.ffi` instead of `xla_client` so that we can take advantage of any new features we might add there in the future. This is all still a little bit brittle and I'd eventually like to migrate to a version where the XLA FFI library provides a mechanism for exporting handlers, but this change is still compatible with any future changes like that. PiperOrigin-RevId: 735381736
63 lines
1.8 KiB
Python
63 lines
1.8 KiB
Python
# Copyright 2018 The JAX Authors.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# https://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, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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from typing import Any
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import numpy as np
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from .cpu import _lapack
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from .cpu._lapack import eig
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from .cpu._lapack import schur
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EigComputationMode = eig.ComputationMode
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SchurComputationMode = schur.ComputationMode
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SchurSort = schur.Sort
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LAPACK_DTYPE_PREFIX = {
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np.float32: "s",
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np.float64: "d",
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np.complex64: "c",
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np.complex128: "z",
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}
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def registrations() -> dict[str, list[tuple[str, Any, int]]]:
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return {"cpu": [
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(name, value, int(name.endswith("_ffi")))
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for name, value in _lapack.registrations().items()
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]}
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def batch_partitionable_targets() -> list[str]:
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return [name for name in _lapack.registrations() if name.endswith("_ffi")]
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def prepare_lapack_call(fn_base, dtype):
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"""Initializes the LAPACK library and returns the LAPACK target name."""
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_lapack.initialize()
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return build_lapack_fn_target(fn_base, dtype)
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def build_lapack_fn_target(fn_base: str, dtype) -> str:
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"""Builds the target name for a LAPACK function custom call."""
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try:
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prefix = (
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LAPACK_DTYPE_PREFIX.get(dtype, None) or LAPACK_DTYPE_PREFIX[dtype.type]
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)
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return f"lapack_{prefix}{fn_base}"
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except KeyError as err:
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raise NotImplementedError(err, f"Unsupported dtype {dtype}.") from err
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