diff --git a/python/tvm/relay/frontend/onnx.py b/python/tvm/relay/frontend/onnx.py
index 2b0a86478aa2..126064f560c2 100644
--- a/python/tvm/relay/frontend/onnx.py
+++ b/python/tvm/relay/frontend/onnx.py
@@ -3321,7 +3321,7 @@ def get_scalar(x, dtype="float32"):
         y_scale = fold_constant(get_scalar(inputs[6]))
         y_zero_point = get_scalar(inputs[7], "int32")
 
-        dtype = infer_type(a).checked_type.dtype
+        dtype = infer_type(a).dtype
 
         ## Onnxruntime doesn't actually do this op in integer, they dequantize to fp32
         ## and then requantize afer
@@ -3986,7 +3986,7 @@ class Celu(OnnxOpConverter):
     @classmethod
     def _impl_v12(cls, inputs, attr, params):
         x = inputs[0]
-        dtype = infer_type(x).checked_type.dtype
+        dtype = infer_type(x).dtype
         alpha = _op.const(attr.get("alpha", 1.0), dtype)
         zero = _op.const(0, dtype)
         one = _op.const(1, dtype)
diff --git a/python/tvm/relay/frontend/pytorch.py b/python/tvm/relay/frontend/pytorch.py
index fe7ad5cf5778..0be229e26a6b 100644
--- a/python/tvm/relay/frontend/pytorch.py
+++ b/python/tvm/relay/frontend/pytorch.py
@@ -26,12 +26,10 @@
 
 import numpy as np
 import tvm
-from tvm.ir import IRModule
 from tvm.topi.utils import get_const_tuple
 
 from .. import analysis as _analysis
 from .. import expr as _expr
-from .. import function as _function
 from .. import op as _op
 from .. import qnn, transform
 from ..expr_functor import ExprMutator