47 lines
1.6 KiB
Python
47 lines
1.6 KiB
Python
# Copyright 2019 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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_cusparse = import_from_plugin("cuda", "_sparse")
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_hipsparse = import_from_plugin("rocm", "_sparse")
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cuda_is_supported = bool(_cusparse and _cusparse.sparse_supported)
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rocm_is_supported = bool(_hipsparse and _hipsparse.sparse_supported)
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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", _cusparse), ("ROCM", _hipsparse)]:
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if module:
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registrations[platform].extend(
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(name, value, int(name.endswith("_ffi")))
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for name, value 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: list[str] = []
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for module in [_cusparse, _hipsparse]:
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if module:
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targets.extend(
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name for name in module.registrations() if name.endswith("gtsv2_ffi")
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)
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return targets
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