93 lines
2.4 KiB
Python
Executable File
93 lines
2.4 KiB
Python
Executable File
# Copyright 2023 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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"""Python bindings for the MLIR TPU dialect."""
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# ruff: noqa: F401
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# ruff: noqa: F403
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from ._tpu_enum_gen import *
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from . import _tpu_ops_gen
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from ._tpu_ops_gen import *
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from ._tpu_ops_gen import _Dialect, VectorLoadOp, VectorStoreOp
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from jaxlib.mlir._mlir_libs._tpu_ext import *
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try:
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from jaxlib.mlir.dialects._ods_common import _cext
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except ImportError:
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from mlir.dialects._ods_common import _cext
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_cext.globals.append_dialect_search_prefix("jax.jaxlib.mosaic.python")
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@_cext.register_operation(_Dialect, replace=True)
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class TraceOp(_tpu_ops_gen.TraceOp): # noqa: F405
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"""An extension to the automatically generated TraceOp bindings."""
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def __init__(self, results, message, level, *, loc=None, ip=None):
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super().__init__(results, message, level, loc=loc, ip=ip)
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self.regions[0].blocks.append(*[]) # Append the block.
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@property
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def body(self):
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return self.regions[0].blocks[0]
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@_cext.register_operation(_Dialect, replace=True)
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class RegionOp(_tpu_ops_gen.RegionOp): # noqa: F405
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"""An extension to the automatically generated RegionOp bindings."""
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def __init__(self, results, *, loc=None, ip=None):
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super().__init__(results, loc=loc, ip=ip)
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self.regions[0].blocks.append() # Append the block.
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@property
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def body(self):
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return self.regions[0].blocks[0]
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def vector_load(
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result,
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base,
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indices,
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*,
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strides=None,
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mask=None,
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loc=None,
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ip=None,
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):
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if strides is None:
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strides = []
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return VectorLoadOp(
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result, base, indices, strides, mask=mask, loc=loc, ip=ip
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).result
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def vector_store(
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value_to_store,
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base,
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indices,
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*,
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strides=None,
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add=False,
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mask=None,
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loc=None,
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ip=None,
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):
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if strides is None:
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strides = []
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return VectorStoreOp(
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value_to_store, base, indices, strides, mask=mask, add=add, loc=loc, ip=ip
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)
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