Add generic fx-graph serializer (NPTG) (#21032)#21032
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🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/executorch/21032
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary: Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id "NFXG") and back: a topological node list with a tagged Argument union, tensor metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are shipped separately. Covers input/output classification, symbolic dims in list args, and a validate_graph() completeness check. Constants are never inlined. Differential Revision: D111753288
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Summary:
Serialize a torch.fx graph to a standalone flatbuffer (native_graph.fbs, id
"NFXG") and back: a topological node list with a tagged Argument union, tensor
metadata side table, and by-reference constants (ConstantRef.fqn) whose bytes are
shipped separately. Covers input/output classification, symbolic dims in list
args, and a validate_graph() completeness check. Constants are never inlined.
Differential Revision: D111753288