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venv/lib/python3.12/site-packages/jaxlib/gpu_sparse.py

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+# Copyright 2019 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
+
+from .plugin_support import import_from_plugin
+
+_cusparse = import_from_plugin("cuda", "_sparse")
+_hipsparse = import_from_plugin("rocm", "_sparse")
+
+def registrations() -> dict[str, list[tuple[str, Any, int]]]:
+  registrations: dict[str, list[tuple[str, Any, int]]] = {
+      "CUDA": [],
+      "ROCM": [],
+  }
+  for platform, module in [("CUDA", _cusparse), ("ROCM", _hipsparse)]:
+    if module:
+      registrations[platform].extend(
+          (name, value, int(name.endswith("_ffi")))
+          for name, value in module.registrations().items()
+      )
+  return registrations
+
+def batch_partitionable_targets() -> list[str]:
+  targets: list[str] = []
+  for module in [_cusparse, _hipsparse]:
+    if module:
+      targets.extend(
+          name for name in module.registrations() if name.endswith("gtsv2_ffi")
+      )
+  return targets