diff --git a/imperative/python/megengine/core/tensor/raw_tensor/__init__.py b/imperative/python/megengine/core/tensor/raw_tensor/__init__.py
index a14fd1971998a13a2e01499a0c59c33a5e78a72e..ca62b105be7e76ea827fef4fd04ca3989440beb0 100644
--- a/imperative/python/megengine/core/tensor/raw_tensor/__init__.py
+++ b/imperative/python/megengine/core/tensor/raw_tensor/__init__.py
@@ -100,6 +100,8 @@ def _(data: DeviceTensorND):
 @as_raw_tensor.register(np.ndarray)
 def _(array: np.ndarray, dtype=None, device=None):
     device = None if device is None else as_device(device).to_c()
+    if 0 in array.strides:
+        array = array.squeeze().reshape(array.shape)
     return RawTensor(put(array, dtype=dtype, device=device))
 
 
diff --git a/imperative/python/test/unit/functional/test_functional.py b/imperative/python/test/unit/functional/test_functional.py
index e8608954de00f550907191c008d5f40972f2a536..509b752a7cb0ad5852d0bd50e08c2f4dc347271b 100644
--- a/imperative/python/test/unit/functional/test_functional.py
+++ b/imperative/python/test/unit/functional/test_functional.py
@@ -458,6 +458,15 @@ def test_conv_bias():
     run(10, 36, 8, 46, 26, 2, 2, 2, 1, 1, 2, True, "RELU")
 
 
+def test_zero_stride_numpy_array():
+    inp = np.random.randn(3, 224, 224).astype(np.float32)
+    inp = inp[np.newaxis, :]
+
+    inp = tensor(inp, dtype=np.float32)
+    weight = tensor(np.random.randn(16, 3, 3, 3), dtype=np.float32)
+    out = F.conv2d(inp, weight, None, (2, 2), (3, 3), (1, 1), 1)
+
+
 def test_condtake():
     x = np.array([[1, 2, 3], [4, 5, 6]])
     y = np.array([[True, False, True], [False, True, True]])