mirror of https://github.com/llvm/torch-mlir
44 lines
1.4 KiB
Python
44 lines
1.4 KiB
Python
# Part of the LLVM Project, under the Apache License v2.0 with LLVM Exceptions.
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# See https://llvm.org/LICENSE.txt for license information.
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# SPDX-License-Identifier: Apache-2.0 WITH LLVM-exception
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# Also available under a BSD-style license. See LICENSE.
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from typing import Optional
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import warnings
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import torch
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import torch.export
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import torch.nn as nn
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from torch_mlir.extras.fx_importer import FxImporter, FxImporterHooks
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from torch_mlir import ir
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from torch_mlir.dialects import torch as torch_d
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from torch_mlir.extras.fx_decomp_util import get_decomposition_table
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def export_and_import(
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f,
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*args,
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fx_importer: Optional[FxImporter] = None,
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experimental_support_mutation: bool = False,
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hooks: Optional[FxImporterHooks] = None,
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func_name: str = "main",
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**kwargs,
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):
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context = ir.Context()
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torch_d.register_dialect(context)
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if fx_importer is None:
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fx_importer = FxImporter(context=context, hooks=hooks)
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prog = torch.export.export(f, args, kwargs)
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decomp_table = get_decomposition_table()
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prog = prog.run_decompositions(decomp_table)
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if experimental_support_mutation:
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if torch.__version__ < "2.3.0.dev20240207":
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warnings.warn("Mutable program import only supported on PyTorch 2.3+")
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fx_importer.import_program(prog, func_name=func_name)
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else:
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fx_importer.import_frozen_program(prog, func_name=func_name)
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return fx_importer.module_op
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