From a19d689481b19b05ee7a2c9625708eeb7fb174ee Mon Sep 17 00:00:00 2001
From: Sieds Lykles <93992551+S-Lykles@users.noreply.github.com>
Date: Mon, 1 Sep 2025 03:24:07 +0200
Subject: [PATCH] fix vec dtype _min_max (#11944)

---
 test/unit/test_dtype_spec.py | 7 ++++++-
 tinygrad/dtype.py            | 4 ++--
 2 files changed, 8 insertions(+), 3 deletions(-)

diff --git a/test/unit/test_dtype_spec.py b/test/unit/test_dtype_spec.py
index da690a8170..36e91e1111 100644
--- a/test/unit/test_dtype_spec.py
+++ b/test/unit/test_dtype_spec.py
@@ -100,6 +100,11 @@ class TestHelpers(unittest.TestCase):
         np.testing.assert_equal(dt.min, False)
         np.testing.assert_equal(dt.max, True)
 
+  def test_dtype_range_vec(self):
+    for dt in core_dtypes:
+      self.assertEqual(dt.min, dt.vec(4).min)
+      self.assertEqual(dt.max, dt.vec(4).max)
+
   def test_truncate_fp16(self):
     self.assertEqual(truncate_fp16(1), 1)
     self.assertEqual(truncate_fp16(65504), 65504)
@@ -613,4 +618,4 @@ class TestAutoCastType(unittest.TestCase):
     np.testing.assert_allclose(out.numpy(), tt.log_softmax(0).numpy(), rtol=1e-3)
     out = t.log_softmax(0, dtype=dtypes.float)
     self.assertEqual(out.dtype, dtypes.float)
-    np.testing.assert_allclose(out.numpy(), tt.log_softmax(0, dtype=torch.float).numpy(), rtol=1e-3)
\ No newline at end of file
+    np.testing.assert_allclose(out.numpy(), tt.log_softmax(0, dtype=torch.float).numpy(), rtol=1e-3)
diff --git a/tinygrad/dtype.py b/tinygrad/dtype.py
index 2ae836e742..2e2716c426 100644
--- a/tinygrad/dtype.py
+++ b/tinygrad/dtype.py
@@ -112,12 +112,12 @@ class dtypes:
   @staticmethod
   @functools.cache
   def min(dtype:DType):
-    if dtypes.is_int(dtype): return 0 if dtypes.is_unsigned(dtype) else -2**(dtype.itemsize*8-1)
+    if dtypes.is_int(dtype): return 0 if dtypes.is_unsigned(dtype) else -2**(dtype.scalar().itemsize*8-1)
     return -float("inf") if dtypes.is_float(dtype) else False
   @staticmethod
   @functools.cache
   def max(dtype:DType):
-    if dtypes.is_int(dtype): return 2**(dtype.itemsize*8)-1+dtypes.min(dtype)
+    if dtypes.is_int(dtype): return 2**(dtype.scalar().itemsize*8)-1+dtypes.min(dtype)
     return float("inf") if dtypes.is_float(dtype) else True
   @staticmethod
   def finfo(dtype:DType) -> tuple[int, int]: