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testing infra and some fixes (#162183)
This PR is quite large in that it covers most of rough edges in the new strict export flow: 1. Handle nn_module_stack correctly now that we are tracing wrapper module 2. module_call_spec needs to get queried from source directly because we are not running the bytecode anymore. 3. Correct input and output handling. Pull Request resolved: https://github.com/pytorch/pytorch/pull/162183 Approved by: https://github.com/zhxchen17 ghstack dependencies: #162167
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@ -70,6 +70,7 @@ def export_for_training(
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strict: bool = False,
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preserve_module_call_signature: tuple[str, ...] = (),
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prefer_deferred_runtime_asserts_over_guards: bool = False,
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_use_new_tracer_experimental: bool = False,
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) -> ExportedProgram:
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"""
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:func:`export_for_training` takes any nn.Module along with example inputs, and produces a traced graph representing
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@ -159,6 +160,7 @@ def export_for_training(
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strict=strict,
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preserve_module_call_signature=preserve_module_call_signature,
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prefer_deferred_runtime_asserts_over_guards=prefer_deferred_runtime_asserts_over_guards,
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_use_new_tracer_experimental=_use_new_tracer_experimental,
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)
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@ -171,6 +173,7 @@ def export(
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strict: bool = False,
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preserve_module_call_signature: tuple[str, ...] = (),
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prefer_deferred_runtime_asserts_over_guards: bool = False,
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_use_new_tracer_experimental: bool = False,
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) -> ExportedProgram:
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"""
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:func:`export` takes any nn.Module along with example inputs, and produces a traced graph representing
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@ -283,6 +286,7 @@ def export(
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preserve_module_call_signature=preserve_module_call_signature,
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pre_dispatch=True,
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prefer_deferred_runtime_asserts_over_guards=prefer_deferred_runtime_asserts_over_guards,
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_use_new_tracer_experimental=_use_new_tracer_experimental,
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)
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except Exception as e:
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draft_export_msg = (
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