43 lines
1.4 KiB
Python
43 lines
1.4 KiB
Python
# Copyright 2021 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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from .plugin_support import import_from_plugin
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_cuda_linalg = import_from_plugin("cuda", "_linalg")
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_hip_linalg = import_from_plugin("rocm", "_linalg")
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def registrations() -> dict[str, list[tuple[str, Any, int]]]:
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registrations: dict[str, list[tuple[str, Any, int]]] = {
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"CUDA": [],
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"ROCM": [],
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}
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for platform, module in [("CUDA", _cuda_linalg), ("ROCM", _hip_linalg)]:
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if module:
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registrations[platform].extend(
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(*i, 1) for i in module.registrations().items()
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)
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return registrations # pytype: disable=bad-return-type
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def batch_partitionable_targets() -> list[str]:
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targets = []
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if _cuda_linalg:
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targets.append("cu_lu_pivots_to_permutation")
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if _hip_linalg:
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targets.append("hip_lu_pivots_to_permutation")
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return targets
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