diff options
| author | haoyuren <13851610112@163.com> | 2026-07-29 00:15:44 +0800 |
|---|---|---|
| committer | haoyuren <13851610112@163.com> | 2026-07-29 00:15:44 +0800 |
| commit | 103a9413d025482f408d758fe6612e2c36cc265a (patch) | |
| tree | 0fa6abe198d97cbfe07bd5271825881e51c6782e /outputs/early_directional_predictors_T50_width64_N96 | |
| parent | 489da71c7af8304a86ed761359614d71288425cf (diff) | |
Track legacy operator-study row data; extend generated tables
Pulls the training-set-size series, snapshot-location sweep, stress
grid, scalar-gain comparison, oracle diagnostic, and derivative-probe
rows from the experiment machine, and adds three generated fragments
(train size, snapshot location, stress grid) used by the appendix.
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
Diffstat (limited to 'outputs/early_directional_predictors_T50_width64_N96')
| -rw-r--r-- | outputs/early_directional_predictors_T50_width64_N96/early_kernel_predictors.csv | 25 | ||||
| -rw-r--r-- | outputs/early_directional_predictors_T50_width64_N96/summary.json | 601 |
2 files changed, 626 insertions, 0 deletions
diff --git a/outputs/early_directional_predictors_T50_width64_N96/early_kernel_predictors.csv b/outputs/early_directional_predictors_T50_width64_N96/early_kernel_predictors.csv new file mode 100644 index 0000000..e1f591f --- /dev/null +++ b/outputs/early_directional_predictors_T50_width64_N96/early_kernel_predictors.csv @@ -0,0 +1,25 @@ +init_seed,feedback_seed,target_steps,early_steps,empirical_bp_loss,empirical_fa_loss,empirical_gap,fixed_bp_loss,fixed_fa_loss,fixed_gap,directional_bp_loss,directional_fa_loss,directional_gap,kfa_fro_drift,kbp_fro_drift,fa_bp_overlap_0,fa_bp_overlap_s,fa_bp_overlap_slope,fa_directional_gain_s,bp_directional_gain_s,fa_directional_drift_s,bp_directional_drift_s
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diff --git a/outputs/early_directional_predictors_T50_width64_N96/summary.json b/outputs/early_directional_predictors_T50_width64_N96/summary.json new file mode 100644 index 0000000..0cd0e51 --- /dev/null +++ b/outputs/early_directional_predictors_T50_width64_N96/summary.json @@ -0,0 +1,601 @@ +{ + "config": { + "input_dim": 16, + "output_dim": 4, + "width": 64, + "train_samples": 96, + "test_samples": 512, + "target_steps": 50, + "early_steps": [ + 1, + 2, + 5 + ], + "lr": 0.001, + "init_seeds": 2, + "feedback_seeds": 4, + "data_seed": 123, + "feedback_scale": "relu", + "device": "cpu", + "torch_threads": 8, + "outdir": "outputs/early_directional_predictors_T50_width64_N96" + }, + "rows": [ + { + "init_seed": 10000, + "feedback_seed": 100000, + "target_steps": 50, + "early_steps": 1, + "empirical_bp_loss": 2.8183905457719685, + "empirical_fa_loss": 2.954747756337525, + "empirical_gap": 0.13635721056555639, + "fixed_bp_loss": 2.7898201865308176, + "fixed_fa_loss": 2.9611016424461205, + 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