Preliminary state

2026-05-26 10:24:33 +02:00
commit 0ab11cfc5e
950 changed files with 6428 additions and 0 deletions
@@ -0,0 +1,15 @@
+{
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+  "n_trials": 50,
+  "seed": 179320,
+  "primitives": [
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+  "description": "targeted fuzz for new activation primitives (leaky_relu/elu/gelu) interleaved with add/mul; verifies eval on random leaky_relu slopes and elementwise-preserving shapes",
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+  "seed": 5024369,
+  "primitives": [
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+  "check_nan_inf": false,
+  "description": "fuzz forward-pass with all supported primitives to verify robustness including numerically unsafe ops",
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+  "description": "targeted fuzz for last-axis ops (pad with dilation, conv, avgpool) to stress length arithmetic and kernel/window/stride combinations",
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+  "description": "broad forward-pass fuzz: 200 trials over all primitives to stress rare shape/dtype combinations",
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+  "seed": 9417485,
+  "primitives": [
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+  "description": "targeted fuzz for dot/add/mul to stress broadcasting and matmul shape logic",
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+  "description": "forward-pass numerics fuzz: safe primitives only, fails on NaN/Inf in outputs",
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+  "n_trials": 150,
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+  "check_nan_inf": false,
+  "description": "fuzz forward-pass with safe primitives (excludes log/sqrt/reciprocal/exp) to verify no crashes or shape errors",
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+  "description": "targeted fuzz for shape-manipulating primitives (expand_dims/moveaxis/reshape/reduce_sum) to catch shape-propagation bugs",
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+  "description": "targeted crash-only fuzz for numerically unsafe unaries (log/sqrt/reciprocal/exp) \u2014 NaN/Inf outputs permitted, only shape/crash failures detected",
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+  "description": "targeted gradient fuzz for new activation primitives; exercises backward rules for leaky_relu (piecewise), elu (exp branch), gelu (erf+gaussian)",
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+  "check_nan_inf": false,
+  "description": "targeted gradient fuzz for last-axis ops (pad/conv/avgpool); exercises strided/dilated backward accumulation",
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+  "description": "broad backward-pass fuzz: 1000 trials over all primitives to stress gradient shape-propagation",
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+  "description": "targeted gradient fuzz for dot/add/mul; exercises broadcasting backward rules",
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+  "description": "backward-pass numerics fuzz over curated finite-gradient subset (relu/square/dot/add/mul/neg); fails on NaN/Inf in gradients",
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+  "description": "targeted gradient fuzz for shape-manipulating primitives to verify transposed shape-propagation in the backward pass",
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--- a/Show More
+++ b/Show More