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883cf2b1e9
Refactoring only, no functional changes intended. This should fix a jaxlib build issue on Windows: we only have one constructor of layouts, and it explicitly requests an int64 type. Fixes https://github.com/google/jax/issues/10474 PiperOrigin-RevId: 447076192
61 lines
2.4 KiB
Python
61 lines
2.4 KiB
Python
# Copyright 2022 Google LLC
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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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# Helpers for building MHLO operators
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from typing import Optional, Sequence, Union
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import jaxlib.mlir.ir as ir
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import jaxlib.mlir.dialects.mhlo as mhlo
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import numpy as np
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def custom_call(call_target_name: str, out_types: Sequence[ir.Type],
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operands: Sequence[ir.Value],
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operand_layouts: Sequence[Sequence[int]],
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result_layouts: Sequence[Sequence[int]],
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backend_config: Optional[str] = None,
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has_side_effect: bool = False,
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api_version: int = 2,
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) -> Union[ir.Value, Sequence[ir.Value]]:
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"""Less-verbose helper for building an MHLO custom call op.
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Once https://github.com/llvm/llvm-project/issues/54932 is fixed, this helper
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may be able to go away.
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"""
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i32_type = ir.IntegerType.get_signless(32)
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out = mhlo.CustomCallOp(
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(out_types if len(out_types) == 1 else
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[ir.TupleType.get_tuple(out_types)]),
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operands,
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call_target_name=ir.StringAttr.get(call_target_name),
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has_side_effect=ir.BoolAttr.get(has_side_effect),
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backend_config=ir.StringAttr.get(
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"" if backend_config is None else backend_config),
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api_version=ir.IntegerAttr.get(i32_type, api_version),
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called_computations=ir.ArrayAttr.get([]),
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operand_layouts=ir.ArrayAttr.get(
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[ir.DenseIntElementsAttr.get(
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np.atleast_1d(np.asarray(l, dtype=np.int64)),
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type=ir.IndexType.get())
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for l in operand_layouts]),
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result_layouts=ir.ArrayAttr.get(
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[ir.DenseIntElementsAttr.get(
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np.atleast_1d(np.asarray(l, dtype=np.int64)),
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type=ir.IndexType.get())
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for l in result_layouts]))
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if len(out_types) == 1:
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return out.result
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else:
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return [mhlo.GetTupleElementOp(out, ir.IntegerAttr.get(i32_type, i)).result
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for i in range(len(out_types))]
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