diff --git a/test/test_ops.py b/test/test_ops.py
index 89b71912db..3e424ab380 100644
--- a/test/test_ops.py
+++ b/test/test_ops.py
@@ -2,7 +2,7 @@ import time, math, unittest, functools, platform, warnings
 import numpy as np
 from typing import List, Callable
 import torch
-from tinygrad.helpers import getenv, IMAGE, DEBUG, CI, Context, CPU_LLVM, CPU_LVP, AMD_LLVM, EMULATE
+from tinygrad.helpers import getenv, IMAGE, DEBUG, CI, Context, CPU_LLVM, AMD_LLVM, EMULATE
 from tinygrad import Tensor, Device, dtypes
 from tinygrad.tensor import _to_np_dtype
 from tinygrad.device import is_dtype_supported
@@ -235,8 +235,7 @@ class TestOps(unittest.TestCase):
   def test_unfold(self):
     helper_test_op([(8,)], lambda x: x.unfold(0, 2, 1))
     helper_test_op([(8,)], lambda x: x.unfold(0, 2, 2))
-    # TODO: something is wrong with unfold
-    if not getenv("TINY_BACKEND"): helper_test_op([(8,)], lambda x: x.unfold(0, 7, 3))
+    helper_test_op([(8,)], lambda x: x.unfold(0, 7, 3))
     helper_test_op([(3,3,3)], lambda x: x.unfold(2, 2, 8))
     helper_test_op([(3,3,3)], lambda x: x.unfold(1, 0, 8))
     helper_test_op([(3,3,3,3,3)], lambda x: x.unfold(-1, 2, 2))
@@ -701,10 +700,14 @@ class TestOps(unittest.TestCase):
 
   def test_pow_zero_tensor(self):
     helper_test_op(None, lambda x,y: x**y, vals=[[0.0], [0.0]])
-    # TODO: fix WEBGPU and LVP
-    if Device.DEFAULT != "WEBGPU" and not CPU_LVP:
+    # TODO: fix WEBGPU
+    if Device.DEFAULT != "WEBGPU":
       helper_test_op(None, lambda x,y: x**y, vals=[[0.0], [0.3]])
       helper_test_op(None, lambda x,y: x**y, vals=[[0.0], [-0.3]])
+  @unittest.skipIf(Device.DEFAULT == "WEBGPU", "WEBGPU issue")
+  def test_exp2_log2_zero_times_negative(self):
+    # gallivm's exp2/log2 have "undefined behavior with infs, 0s and nans", so exp2(log2(0)*y) returns 0 instead of inf
+    helper_test_op(None, lambda x,y: (x.log2()*y).exp2(), lambda x,y: (x.log2()*y).exp2(), vals=[[0.0], [-0.7]], forward_only=True)
   def test_pow_zero_const(self):
     helper_test_op(None, lambda x: x**0.3, vals=[[0.0]])
     helper_test_op(None, lambda x: x**0.0, vals=[[0.0]])
diff --git a/tinygrad/renderer/nir.py b/tinygrad/renderer/nir.py
index cba6a1dd25..81836179f8 100644
--- a/tinygrad/renderer/nir.py
+++ b/tinygrad/renderer/nir.py
@@ -234,6 +234,9 @@ class LVPRenderer(NIRRenderer):
   has_shared = False
   global_max = (1, 0, 0)
   nir_options = mesa.lvp_nir_options
+  # gallivm's exp2/log2 have "undefined behavior with infs, 0s and nans", so exp2(log2(0)*y) returns 0 instead of inf
+  # https://gitlab.freedesktop.org/mesa/mesa/-/blob/c200b18e876468b51fe80d9660f612dc03a5138e/src/gallium/auxiliary/gallivm/lp_bld_arit.c#L2972
+  code_for_op = {k:v for k,v in NIRRenderer.code_for_op.items() if k != Ops.EXP2}
 
   param = nir_instr(nc=1, bs=lambda sz: sz * 8, num_components=1, intrins={"ALIGN_MUL":lambda sz: sz, "RANGE":lambda self: self.param_sz},
     srcs=lambda b, self: [nsrc(nimm(b, 0, dtypes.int)), nsrc(nimm(b, self.param_idx, dtypes.int))], also=lambda self, sz: