feat(tools): add backward graph generation and validation tools#711
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Dayuxiaoshui wants to merge 1 commit into
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feat(tools): add backward graph generation and validation tools#711Dayuxiaoshui wants to merge 1 commit into
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This commit introduces backward graph generation pipeline integrated with GraphNet's test_compiler framework. Changes: - graph_net/torch/extractor.py: add try/except for capture_sparse_compute to support PyTorch versions where the config does not exist. - graph_net/torch/sample_pass/backward_graph_extractor.py: - switch module from train() to eval() to avoid dropout/BN side effects - clone forward inputs with detach().clone() to avoid inplace modification - add _is_pure_shape_graph() to skip subgraphs with only shape ops - tools/backward_graph_test.py: - batch backward FX Graph generation via aot_autograd - integrated test_compiler validation with auto-generated weight_meta.py - default GRAPH_NET_FLUCTUATION_DETECT_THRESHOLD=0.5 and trials=10 - tools/backward_kernel_dedup.py: - Triton kernel dedup analysis for backward graphs
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This commit introduces backward graph generation pipeline integrated with GraphNet's test_compiler framework.
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