global/locals from AxisType in range

tinygrad/codegen/gpudims.py

@@ -1,6 +1,6 @@
 import math
 from tinygrad.uop.ops import UOp, Ops, sint, PatternMatcher, UPat, KernelInfo, ssimplify, AxisType
-from tinygrad.helpers import all_int, partition, flatten, prod
+from tinygrad.helpers import all_int, partition, flatten, prod, dedup
 from tinygrad.dtype import dtypes
 from tinygrad.shape.view import get_contraction
 from tinygrad.renderer import Renderer
@@ -52,20 +52,24 @@ def get_grouped_dims(prefix, dims:tuple[sint, ...], max_sizes:tuple[int, ...]|No
 
 def add_gpudims(ctx:Renderer, s:UOp):
   if s.arg is None: return None
-  ki: KernelInfo = s.arg
-  global_dims = [i for i,x in enumerate(ki.axis_types) if x is AxisType.GLOBAL]
-  local_dims = [i for i,x in enumerate(ki.axis_types) if x in (AxisType.LOCAL, AxisType.GROUP_REDUCE)]
-  if not global_dims and not local_dims: return None
   s_topo = list(s.toposort())
   if any(x.op is Ops.SPECIAL for x in s_topo): return None
 
-  # get global and local shape
+  # get ranges
   all_ranges = {x.arg[0]%1000:x for x in s_topo if x.op is Ops.RANGE}
+
+  # extract global/local dims
+  global_dims = sorted(dedup([x.arg[0]%1000 for x in all_ranges.values() if x.arg[1] is AxisType.GLOBAL]))
+  local_dims = sorted(dedup([x.arg[0]%1000 for x in all_ranges.values() if x.arg[1] in (AxisType.LOCAL, AxisType.GROUP_REDUCE)]))
+  if not global_dims and not local_dims: return None
+
+  # get global and local shape
   ranges = [all_ranges[r] for r in global_dims+local_dims if r in all_ranges]
   global_shape = tuple([ssimplify(r.src[0]) for r in ranges if r.arg[0]%1000 in global_dims])
   local_shape = tuple([ssimplify(r.src[0]) for r in ranges if r.arg[0]%1000 in local_dims])
 
   # get the idxs
+  ki: KernelInfo = s.arg
   if ki.dont_use_locals:
     assert not local_dims, "can't use locals if there's no local dims"
     idxs = get_grouped_dims("idx", global_shape, ctx.global_max, reverse=True)