Guard large unaligned Qwen expert gathers

tools/issue110-reference.py

@@ -0,0 +1,55 @@
+"""Pinned stock guard, installed projection geometry, and fused-oracle controls."""
+import hashlib,json,subprocess,sys
+from pathlib import Path
+checkout,root=map(Path,sys.argv[1:3])
+assert subprocess.check_output(['git','-C',str(checkout),'rev-parse','HEAD'],text=True).strip()=='9882703f3105363ddc37eca9f97aa09a1d387112'
+sys.path.insert(0,str(checkout))
+import mlx.core as mx
+import mlx.nn as nn
+import numpy as np
+from mtplx import moe_sorted_gather as msg
+from mtplx.kernels import moe_sorted_gather_nax as kernel
+assert mx.__version__=='0.32.2' and msg.guard_active()
+index=json.loads((root/'model.safetensors.index.json').read_text())['weight_map']
+base='language_model.model.layers.0.mlp.switch_mlp.'
+weights=mx.load(str(root/index[base+'gate_proj.weight']))
+def parts(proj): return [weights[base+proj+'.'+part] for part in ['weight','scales','biases']]
+gu=[mx.concatenate(a,axis=1) for a in zip(parts('gate_proj'),parts('up_proj'))]
+down=parts('down_proj')
+mx.eval(*gu,*down)
+def pattern(rows,k):
+    v=((np.arange(rows*k,dtype=np.uint32)*17+7*13)%257).astype(np.int32)-128
+    return mx.array((v.astype(np.float32)/128).reshape(rows,1,k)).astype(mx.bfloat16)
+def digest(a): return hashlib.sha256(np.asarray(a.view(mx.uint16)).tobytes()).hexdigest()
+for rows in [20480,32760,32770,34040,40950,40960]:
+    for name,layer,k,n in [('gate_up',gu,2560,1280),('down',down,640,2560)]:
+        x=pattern(rows,k)
+        ids=mx.array(np.arange(rows,dtype=np.uint32)*512//rows)
+        for left in ([False,True] if rows==34040 else [False]):
+            lhs=mx.arange(rows-1,-1,-1,dtype=mx.int32) if left else None
+            before=msg.stats()
+            y=msg.gather_qmm(x,*layer,lhs_indices=lhs,rhs_indices=ids,group_size=64,bits=4,sorted_indices=True)
+            mx.eval(y)
+            assert y.shape==(rows,1,n)
+            print(json.dumps(dict(case='projection',projection=name,rows=rows,k=k,n=n,left=left,sha256=digest(y),pad=msg.pad_rows(rows),guard_before=before,guard_after=msg.stats())),flush=True)
+            del y
+        del x,ids
+        mx.clear_cache()
+for tokens in [2048,3277,4095,4096]:
+    rows=tokens*10
+    x=pattern(tokens,2560)
+    row_map=mx.arange(rows,dtype=mx.uint32)%tokens
+    ids=mx.array(np.arange(rows,dtype=np.uint32)*512//rows)
+    projection=msg.gather_qmm(x[row_map],*gu,rhs_indices=ids,group_size=64,bits=4,sorted_indices=True)
+    gate,up=mx.split(projection,2,axis=-1)
+    stock=nn.silu(gate)*up
+    before=kernel.stats()
+    fused=msg.swiglu_rows(x,row_map,*gu,ids,group_size=64,bits=4)
+    mx.eval(stock,fused)
+    assert digest(stock)==digest(fused)
+    after=kernel.stats()
+    assert after['calls']>before['calls'],(before,after)
+    assert after['canaries']>0 and after['canary_failures']==0,after
+    print(json.dumps(dict(case='optimized_oracle_control',tokens=tokens,rows=rows,exact=True,sha256=digest(stock),kernel_before=before,kernel_after=after)),flush=True)
+    del x,row_map,ids,projection,gate,up,stock,fused
+    mx.clear_cache()