diff --git a/tinygrad/tensor.py b/tinygrad/tensor.py
index 3a290397fe..04b22e7d48 100644
--- a/tinygrad/tensor.py
+++ b/tinygrad/tensor.py
@@ -5,7 +5,7 @@ from contextlib import ContextDecorator
 from typing import Any, Callable, ClassVar, Sequence, cast, get_args, Literal, SupportsIndex, ParamSpec, TypeVar, Generic, TYPE_CHECKING
 if TYPE_CHECKING: import numpy
 from tinygrad.dtype import DType, DTypeLike, dtypes, ImageDType, ConstType, least_upper_float, least_upper_dtype, sum_acc_dtype, to_dtype, truncate
-from tinygrad.dtype import _from_np_dtype, _to_np_dtype, PyConst, Invalid, InvalidType
+from tinygrad.dtype import _from_np_dtype, _to_np_dtype, PyConst, Invalid
 from tinygrad.helpers import argfix, make_tuple, flatten, prod, all_int, round_up, merge_dicts, argsort, getenv, all_same, fully_flatten
 from tinygrad.helpers import IMAGE, FLOAT16, WINO, Metadata, TRACEMETA, ASM_GEMM, ceildiv, fetch, is_numpy_ndarray, TracingKey, cpu_profile
 from tinygrad.helpers import suppress_finalizing, disable_gc
@@ -145,9 +145,6 @@ class Tensor(OpMixin):
       data = UOp.const(_dtype or dtypes.default_float, 0, _device)
     elif isinstance(data, get_args(ConstType)):
       data = (UOp.unique_const if _force_unique or requires_grad else UOp.const)(_dtype or dtypes.from_py(data), data, _device)
-    elif isinstance(data, InvalidType):
-      assert _dtype is not None
-      data = UOp.const(_dtype, data, _device)
     elif isinstance(data, bytes): data = _frompy(data, _dtype or dtypes.uint8, _device)
     elif isinstance(data, (list, tuple)):
       if _dtype is None: