diff --git a/imperative/python/megengine/quantization/fake_quant.py b/imperative/python/megengine/quantization/fake_quant.py
index ae6c09123b12733c0e6757a3da0411ef35ec9e6a..c1469d33fbd86fe8e4bf0c388270cb4b4c318d00 100644
--- a/imperative/python/megengine/quantization/fake_quant.py
+++ b/imperative/python/megengine/quantization/fake_quant.py
@@ -61,14 +61,14 @@ class _FakeQuantize(Module):
     def fake_quant_forward(self, inp, qparams: QParams = None):
         raise NotImplementedError
 
-    def normal_foward(self, inp, qparams: QParams = None):
+    def normal_forward(self, inp, qparams: QParams = None):
         return inp
 
     def forward(self, inp, qparams: QParams = None):
         if self.enabled:
             return self.fake_quant_forward(inp, qparams=qparams)
         else:
-            return self.normal_foward(inp, qparams=qparams)
+            return self.normal_forward(inp, qparams=qparams)
 
 
 class TQT(_FakeQuantize, QParamsModuleMixin):
diff --git a/src/core/test/graph/eager_eval.cpp b/src/core/test/graph/eager_eval.cpp
index 2bcfcf1eec7d444d8202ab0dfe66e3d7f2aa9c32..3ac124d99e984875c8a2fdd86bdb94baf9c5e08c 100644
--- a/src/core/test/graph/eager_eval.cpp
+++ b/src/core/test/graph/eager_eval.cpp
@@ -495,7 +495,7 @@ TEST_F(TestGraphEagerReeval, MemoryAlloc) {
         //                      |                     +--> 8 -> 8
         //                      |-----> x1(fwd) -> 8 -|
         // total usage : 63 + (16 after the first iteration)
-        // x might has iteration i's memory, but x0/x1 foward i-1's memory
+        // x might has iteration i's memory, but x0/x1 forward i-1's memory
         size_t length = reserve / (sizeof(dt_int32) * 5 * 16);
         auto host_x = std::make_shared<HostTensorND>(cn, dtype::Int32());
         HostTensorND host_val;