even faster on pimcomp models

validation/operations/README.md

@@ -38,11 +38,12 @@ Run the complete suite with deadlock detection:
 
 Use `--compile-only` for compiler and deadlock checks, then `--run-only` to
 reuse those artifacts for reference execution, simulation, and comparison.
-The validator prints the complete operation results table before its summary.
+The validator prints the complete operation results table before its summary
+and writes the same rows to `validation_results.csv`.
 
 ## Complete inventory
 
-The suite contains 164 models. Tensor shapes, attributes, and constants are
+The suite contains 165 models. Tensor shapes, attributes, and constants are
 defined in `gen_tests.py` and in the checked-in ONNX models.
 
 ### Add (5)
@@ -63,7 +64,7 @@ defined in `gen_tests.py` and in the checked-in ONNX models.
 | `negative_axis` | Concatenates tensors using a negative axis. |
 | `three_inputs_channel_axis` | Concatenates three runtime NCHW tensors along the channel axis. |
 
-### Conv (31)
+### Conv (32)
 
 | Case | Description |
 |---|---|
@@ -98,6 +99,7 @@ defined in `gen_tests.py` and in the checked-in ONNX models.
 | `with_bias_3x3` | Multi-channel 3x3 Conv with bias. |
 | `with_constant` | Hand-authored SAME_UPPER Conv with constant weight and bias. |
 | `without_kernel_shape_attr` | Conv whose kernel shape is inferred from its weight tensor. |
+| `yolo11n_stem` | First two YOLO11n `Conv-SiLU` blocks at `640x640`, including the distributed activation boundary. |
 
 ### Div (6)