diff --git a/extra/onnx.py b/extra/onnx.py
index 90a953004d..d653f40d3e 100644
--- a/extra/onnx.py
+++ b/extra/onnx.py
@@ -725,12 +725,8 @@ def get_onnx_ops():
       ret = _clamp_cast((x / y_scale + 0.4999999 + y_zero_point).int(), out_dtype)
     else:
       ret = _clamp_cast(((x / y_scale).round() + y_zero_point), out_dtype)
+
     # you need both NHWC=1 DONT_GROUP_REDUCES=1 for this to work
-
-    #if ret.shape[0] == 1 and ret.shape[2:] == (14,14):
-    #  ret = ret.pad(((0,0), (0,0), (0,0), (0,2)))
-    #  print("padding", ret.shape)
-
     if getenv("NHWC") and len(ret.shape) == 4:
       in_chans = ret.shape[1]
       if ret.shape[1] == 3 or in_chans%32 != 0:
diff --git a/tinygrad/codegen/symbolic.py b/tinygrad/codegen/symbolic.py
index 575bc2fb6f..e7b65ba372 100644
--- a/tinygrad/codegen/symbolic.py
+++ b/tinygrad/codegen/symbolic.py
@@ -267,10 +267,7 @@ symbolic_flat = symbolic+PatternMatcher([
   # ** combine terms (opinionated) **
   (-1 * (UPat.var("x") + UPat.var("y")), lambda x,y: (-x)+(-y)),  # -(x+y) -> -x + -y
   # (x+y)*c -> x*c+y*c. only for int, float has inf*0=nan issue
-  # TODO: this is an issue with DSP mul const (or is it still with the reduce lowerer change?)
-  ((UPat.var("x", dtypes.ints) + UPat.var("y")) * UPat.cvar("c"), lambda x,y,c: x*c+y*c if x.dtype.count == 1 else None),
-  # factorize
-  #((UPat.var("x")*UPat.cvar("c1") + UPat.var("y")*UPat.cvar("c2")), lambda x,c1,y,c2: (x*(c2//c1) + y)*c1 if c2.arg%c1.arg == 0 else None),
+  ((UPat.var("x", dtypes.ints) + UPat.var("y")) * UPat.cvar("c"), lambda x,y,c: x*c+y*c),
 ])
 
 # ******** we take a small aside to "simplify_valid" to rewrite valids ********
diff --git a/tinygrad/runtime/ops_dsp.py b/tinygrad/runtime/ops_dsp.py
index 1c04e503b2..c72d237cf0 100644
--- a/tinygrad/runtime/ops_dsp.py
+++ b/tinygrad/runtime/ops_dsp.py
@@ -117,7 +117,6 @@ conv_pm = PatternMatcher([
   (UPat(name="acc") + UPat(Ops.CAST, dtype=dtypes.int.vec(32), name="a0") + UPat(Ops.CAST, name="b0") + UPat(Ops.CAST, name="c0"), multi_add_int32),
 ])
 
-#dsp_pm = conv_pm+PatternMatcher([
 dsp_pm = PatternMatcher([
   # convert load char32 to load char128
   (UPat(Ops.LOAD, (dtypes.uchar.vec(96), dtypes.uchar.vec(64), dtypes.uchar.vec(32)), src=(UPat.var("buf").cast(),), name="load"),
@@ -305,19 +304,10 @@ pretty_render = PatternMatcher([
    lambda v: UOp(Ops.VECTORIZE, v.dtype, src=tuple(UOp(Ops.CUSTOMI, x.dtype, src=(UOp.const(dtypes.int, x.arg),), arg="{0}") for x in v.src))),
 ])
 
-vmemu_support = """
-__attribute__ ((always_inline)) unsigned_char128 vmemu(unsigned_char128 *addr) {
-  unsigned_char128 out;
-  __asm__ __volatile__( "%0 = vmem(%1);" : "=v" (out) : "r"(addr) : "memory");
-  return out;
-}
-"""
-
 class DSPRenderer(ClangRenderer):
   device = "DSP"
   supports_float4 = True
   buffer_suffix = " restrict __attribute__((align_value(128)))"
-  #kernel_prefix = vmemu_support + "__attribute__((noinline)) "
   kernel_prefix = "__attribute__((noinline)) "
   pre_matcher = dsp_pm
   extra_matcher = dsp_pm_late+ClangRenderer.extra_matcher+pretty_render