diff --git a/mindspore/python/mindspore/ops/_grad_experimental/grad_array_ops.py b/mindspore/python/mindspore/ops/_grad_experimental/grad_array_ops.py
index 67629df99b5..bc03fc551ef 100644
--- a/mindspore/python/mindspore/ops/_grad_experimental/grad_array_ops.py
+++ b/mindspore/python/mindspore/ops/_grad_experimental/grad_array_ops.py
@@ -50,6 +50,7 @@ from mindspore.ops.operations.array_ops import MaskedScatter
 from mindspore.ops.operations.array_ops import CountNonZero
 from mindspore.ops.operations._grad_ops import StridedSliceV2Grad
 from mindspore.ops.operations.random_ops import LogNormalReverse
+from mindspore.ops.operations.random_ops import ParameterizedTruncatedNormal
 from mindspore.ops.operations import _inner_ops as inner
 from mindspore.ops import functional as F
 from mindspore.ops import operations as P
@@ -378,6 +379,15 @@ def get_bprop_log_normal_reverse(self):
     return bprop
 
 
+@bprop_getters.register(ParameterizedTruncatedNormal)
+def get_bprop_parameterized_truncated_normal(self):
+    """Grad definition for `ParameterizedTruncatedNormal` operation."""
+    def bprop(shape, mean, stdevs, min_val, max_val, out, dout):
+        return (zeros_like(shape), zeros_like(mean), zeros_like(stdevs), zeros_like(min_val), zeros_like(max_val))
+
+    return bprop
+
+
 @bprop_getters.register(P.TensorScatterMax)
 def get_bprop_tensor_scatter_max(self):
     """Generate bprop for TensorScatterMax"""