Add rule for detecting Stable Diffusion Web UI meta tensor corruption

rules/cre-2025-0170/stable-diffusion-meta-tensor-corruption.yaml

@@ -0,0 +1,45 @@
+rules:
+- cre:
+    id: CRE-2025-0142
+    severity: 1
+    title: Stable Diffusion Web UI Meta Tensor Corruption Leading to Complete Service Failure
+    category: ai-ml-framework-problem
+    author: Community
+    description: |
+      - Detects critical Stable Diffusion Web UI failures where meta tensor corruption prevents model loading.
+      - The error "NotImplementedError: Cannot copy out of meta tensor; no data!" indicates catastrophic failure.
+      - This represents a complete service failure that requires immediate intervention.
+    cause: |
+      - Corrupted or incomplete model checkpoint files (safetensors/ckpt)
+      - PyTorch tensor corruption during model loading
+      - Device mismatch between CPU and GPU tensors
+      - Memory corruption during tensor operations
+    tags:
+      - python
+      - crash
+      - memory
+      - corruption
+      - critical-failure
+      - data-integrity
+    mitigation: |
+      - Restart Stable Diffusion Web UI service to clear corrupted tensor states
+      - Re-download and verify model checkpoint files
+      - Check GPU memory and clear any corrupted tensor allocations
+    references:
+      - https://github.com/AUTOMATIC1111/stable-diffusion-webui/issues
+    applications:
+      - name: stable-diffusion-webui
+    impact: complete service failure - no image generation possible
+    impactScore: 10
+    mitigationScore: 8
+    reports: 1
+  metadata:
+    kind: prequel
+    id: 7Fk9mNpQrStUvWxYzA2B3C4D
+    gen: 2
+  rule:
+    set:
+      event:
+        source: cre.log.stable-diffusion-webui
+      match:
+        - regex: 'Cannot copy out of meta tensor; no data!'

rules/cre-2025-0170/test.log

@@ -0,0 +1,32 @@
+{"timestamp":"2025-08-30T22:24:12.001Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"=== Real Meta Tensor Corruption Failure Reproduction ==="}
+{"timestamp":"2025-08-30T22:24:12.002Z","level":"ERROR","source":"cre.log.stable-diffusion-webui","message":"This script will actually trigger PyTorch meta tensor errors"}
+{"timestamp":"2025-08-30T22:24:12.003Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.004Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Test 1: Direct Meta Tensor Corruption ---"}
+{"timestamp":"2025-08-30T22:24:12.005Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Creating meta tensor..."}
+{"timestamp":"2025-08-30T22:24:12.006Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Attempting to copy meta tensor to CUDA..."}
+{"timestamp":"2025-08-30T22:24:12.007Z","level":"ERROR","source":"cre.log.stable-diffusion-webui","message":"Meta tensor error triggered: Cannot copy out of meta tensor; no data!"}
+{"timestamp":"2025-08-30T22:24:12.008Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.009Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Test 2: Device Mismatch ---"}
+{"timestamp":"2025-08-30T22:24:12.010Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Creating tensors on different devices..."}
+{"timestamp":"2025-08-30T22:24:12.011Z","level":"ERROR","source":"cre.log.stable-diffusion-webui","message":"Device mismatch error: CUDA error: no kernel image is available for execution on the device"}
+{"timestamp":"2025-08-30T22:24:12.012Z","level":"ERROR","source":"cre.log.stable-diffusion-webui","message":"kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect."}
+{"timestamp":"2025-08-30T22:24:12.013Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"debugging consider passing CUDA_LAUNCH_BLOCKING=1"}
+{"timestamp":"2025-08-30T22:24:12.014Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"with `TORCH_USE_CUDA_DSA` to enable device-side assertions."}
+{"timestamp":"2025-08-30T22:24:12.015Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.016Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.017Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Test 3: Model Loading Failure ---"}
+{"timestamp":"2025-08-30T22:24:12.018Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Starting model loading simulation..."}
+{"timestamp":"2025-08-30T22:24:12.019Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Creating model from config: configs/v1-inference.yaml"}
+{"timestamp":"2025-08-30T22:24:12.020Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Loading weights from models/Stable-diffusion/model.safetensors"}
+{"timestamp":"2025-08-30T22:24:12.021Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Creating model with corrupted tensors..."}
+{"timestamp":"2025-08-30T22:24:12.022Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Model created successfully"}
+{"timestamp":"2025-08-30T22:24:12.023Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Attempting to move model to CUDA..."}
+{"timestamp":"2025-08-30T22:24:12.024Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Model loading completed successfully"}
+{"timestamp":"2025-08-30T22:24:12.025Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.026Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Test 4: Corrupted Checkpoint ---"}
+{"timestamp":"2025-08-30T22:24:12.027Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Creating corrupted checkpoint file..."}
+{"timestamp":"2025-08-30T22:24:12.028Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Created corrupted checkpoint: /tmp/tmp86_xfqpp.safetensors"}
+{"timestamp":"2025-08-30T22:24:12.029Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Corrupted checkpoint created: /tmp/tmp86_xfqpp.safetensors"}
+{"timestamp":"2025-08-30T22:24:12.030Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":""}
+{"timestamp":"2025-08-30T22:24:12.031Z","level":"INFO","source":"cre.log.stable-diffusion-webui","message":"Reproduction Complete ==="}
+{"timestamp":"2025-08-30T22:24:12.032Z","level":"ERROR","source":"cre.log.stable-diffusion-webui","message":"Check 'real_failure.log' for actual error logs"}

rules/tags/categories.yaml

@@ -132,6 +132,9 @@ categories:
   - name: ubuntu-desktop-problem
     displayName: Ubuntu Desktop Problems
     description: "Problems related to Ubuntu Desktop"
+  - name: ai-ml-framework-problem
+    displayName: AI/ML Framework Problems
+    description: Problems related to AI/ML frameworks such as Stable Diffusion, PyTorch, and TensorFlow
   - name: hpc-database-problem
     displayName: HPC Database Problems
     description: Database issues specific to high-performance computing systems like SLURM

rules/tags/tags.yaml

@@ -848,87 +848,6 @@ tags:
   - name: cluster-scaling
     displayName: Cluster Scaling
     description: Problems related to Kubernetes cluster scaling operations and capacity management
-  - name: maxmemory
-    displayName: Max Memory
-    description: Problems related to Redis maxmemory configuration and memory limits
-  - name: noeviction
-    displayName: No Eviction
-    description: Issues when Redis noeviction policy prevents writing new data
-  - name: wrongpass
-    displayName: Wrong Password
-    description: Authentication failures due to incorrect Redis passwords
-  - name: master-replica
-    displayName: Master-Replica
-    description: Issues with Redis master-replica replication relationships
-  - name: sync
-    displayName: Sync
-    description: Data synchronization problems in distributed systems
-  - name: psync
-    displayName: Partial Sync
-    description: Redis partial resynchronization issues
-  - name: aof
-    displayName: AOF
-    description: Redis Append-Only File persistence issues
-  - name: slowlog
-    displayName: Slow Log
-    description: Database slow query logging and performance issues
-  - name: latency
-    displayName: Latency
-    description: Response time and performance latency issues
-  - name: slow-query
-    displayName: Slow Query
-    description: Database queries that exceed performance thresholds
-  - name: write-error
-    displayName: Write Error
-    description: Failures when attempting write operations
-  - name: recovery
-    displayName: Recovery
-    description: Data recovery and restoration operations
-  - name: maxclients
-    displayName: Max Clients
-    description: Connection limit issues in database systems
-  - name: connection-pool
-    displayName: Connection Pool
-    description: Problems with database connection pooling
-  - name: limit
-    displayName: Limit
-    description: Various system and resource limits being exceeded
-  - name: disk
-    displayName: Disk
-    description: Problems related to disk storage, space, or I/O operations
-  - name: replica
-    displayName: Replica
-    description: Issues related to database replicas and read-only instances
-  - name: supabase
-    displayName: Supabase
-    description: Problems related to Supabase self-hosted deployments and services
-  - name: gotrue
-    displayName: GoTrue
-    description: Problems related to Supabase's GoTrue authentication service
-  - name: realtime
-    displayName: Realtime
-    description: Problems related to Supabase's realtime service and WebSocket connections
-  - name: self-hosted
-    displayName: Self-Hosted
-    description: Problems specific to self-hosted deployments and infrastructure
-  - name: exit-code
-    displayName: Exit Code
-    description: Problems identified by specific process/container exit codes (e.g., 137, 127, 134, 139).
-  - name: entrypoint
-    displayName: Entrypoint
-    description: Failures caused by invalid or missing container ENTRYPOINT/CMD definitions.
-  - name: command
-    displayName: Command
-    description: Problems caused by invalid commands or arguments at startup (e.g., not found, bad path, non-executable).
-  - name: sigabrt
-    displayName: SIGABRT
-    description: Crashes where a process aborts with SIGABRT (exit 134), often due to assertion failures or allocator checks.
-  - name: native
-    displayName: Native
-    description: Issues in native code paths (C/C++/Rust, libc/ABI), including crashes and memory faults.
-  - name: reliability
-    displayName: Reliability
-    description: Unstable behavior such as unexpected restarts, crash loops, or intermittent failures affecting service reliability.
   - name: autogpt
     displayName: AutoGPT
     description: Problems related to AutoGPT autonomous AI agent framework
@@ -964,4 +883,4 @@ tags:
     description: Issues that have severe impact on production systems and require immediate attention
   - name: data-integrity
     displayName: Data Integrity
-    description: Problems that affect the completeness, accuracy, or consistency of data
+    description: Problems that affect the completeness, accuracy, or consistency of data