small changes from new rangeify + remove flaky tc tests (#17486)

* small changes from new rangeify

* remove test/opt/test_tensor_cores.py

.github/workflows/test.yml

@@ -591,7 +591,7 @@ jobs:
         if: ${{ matrix.backend == 'amd' && matrix.arch == 'gfx950' }}
         run: PYTHONPATH=. DEV=NULL:HIP:gfx950 MXFP4=1 LLAMA_LAYERS=2 BENCHMARK=3 NULL_ALLOW_COPYOUT=1 NO_HIPCC=1 ROCM_PATH=/opt/rocm JITBEAM=0 examples/mlperf/training_submission_v6.0/tinycorp/benchmarks/llama31_8b/implementations/tinybox_8xMI350X/profile.sh
       - name: Run pytest (amd)
-        run: python -m pytest -n=auto test/backend/test_ops.py test/backend/test_dtype.py test/backend/test_dtype_alu.py test/backend/test_linearizer.py test/backend/test_randomness.py test/backend/test_jit.py test/backend/test_graph.py test/backend/test_multitensor.py test/device/test_hcq.py test/external/external_test_am.py test/backend/test_asm_gemm.py::TestAsmGEMM test/opt/test_tensor_cores.py --durations=20
+        run: python -m pytest -n=auto test/backend/test_ops.py test/backend/test_dtype.py test/backend/test_dtype_alu.py test/backend/test_linearizer.py test/backend/test_randomness.py test/backend/test_jit.py test/backend/test_graph.py test/backend/test_multitensor.py test/device/test_hcq.py test/external/external_test_am.py test/backend/test_asm_gemm.py::TestAsmGEMM --durations=20
       - name: Run disk copy tests
         run: python -m pytest test/unit/test_disk_tensor.py -k test_copy_from_disk
       - name: Run TRANSCENDENTAL math

test/helpers.py

@@ -48,6 +48,8 @@ def check_schedule(t:Tensor|list[Tensor]|UOp, allowed:int, to_prerealize:list[Te
   else:
     assert isinstance(t, UOp), f"can't schedule {t}"
     linear, var_vals = Tensor(t).linear_with_vars()
+  # test compiling the linear
+  compile_linear(linear)
   kernel_cnt = sum((len(call.device) if isinstance(call.device, tuple) else 1)
                    for call in linear.src if call.src[0].op is Ops.SINK or not filter_sink)
   if kernel_cnt != allowed:
@@ -57,8 +59,6 @@ def check_schedule(t:Tensor|list[Tensor]|UOp, allowed:int, to_prerealize:list[Te
         print("kernel", i+1)
         print(call.src[0])
     raise KernelCountException(allowed, kernel_cnt)
-  # test compiling the linear
-  compile_linear(linear)
   return linear, var_vals
 
 def assert_kernel_count(expected:int):

tinygrad/uop/symbolic.py

@@ -293,8 +293,8 @@ symbolic = symbolic_simple+commutative+PatternMatcher([
   (UPat(Ops.AFTER, name="x"), lambda x: x.replace(src=(x.src[0],)+
     tuple(dedup(flatten([(y,) if y.op in {Ops.RANGE, Ops.STORE, Ops.CALL, Ops.FUNCTION, Ops.BARRIER, Ops.END, Ops.LINEAR, Ops.STAGE}
                         else y.src for y in x.src[1:]]))))),
-  # after with 1 src is just src[0]
-  (UPat(Ops.AFTER, src=(UPat.var("s"),)), lambda s: s),
+  # after/end with 1 src is just src[0]
+  (UPat((Ops.AFTER, Ops.END), src=(UPat.var("s"),)), lambda s: s),
 ])+div_and_mod_symbolic
 
 # ******** we take a small aside to "simplify_valid" to rewrite valids ********