diff --git a/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc b/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
index fd044e60f73..5780d1e546d 100644
--- a/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
+++ b/mindspore/ccsrc/backend/kernel_compiler/cpu/eltwise_grad_cpu_kernel.cc
@@ -170,7 +170,7 @@ template <typename T>
 void EltWiseGradCPUKernel<T>::AsinhGrad(const T *input1, const T *input2, T *out, size_t start, size_t end) const {
   for (size_t i = start; i < end; i++) {
     T dividend = input2[i];
-    T divisor = sqrt(1 + input1[i] * input1[i]);
+    T divisor = cosh(input1[i]);
     if (divisor == 0) {
       if (dividend == 0) {
         out[i] = std::numeric_limits<T>::quiet_NaN();
@@ -191,7 +191,7 @@ template <typename T>
 void EltWiseGradCPUKernel<T>::AcoshGrad(const T *input1, const T *input2, T *out, size_t start, size_t end) const {
   for (size_t i = start; i < end; i++) {
     T dividend = input2[i];
-    T divisor = sqrt(input1[i] * input1[i] - 1);
+    T divisor = sinh(input1[i]);
     if (divisor == 0) {
       if (dividend == 0) {
         out[i] = std::numeric_limits<T>::quiet_NaN();
diff --git a/tests/st/ops/cpu/test_acosh_grad_op.py b/tests/st/ops/cpu/test_acosh_grad_op.py
index 033cd8067e8..15dd3aaa1c8 100644
--- a/tests/st/ops/cpu/test_acosh_grad_op.py
+++ b/tests/st/ops/cpu/test_acosh_grad_op.py
@@ -37,10 +37,10 @@ class NetAcoshGrad(nn.Cell):
 @pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_acosh_grad():
-    x = np.array([5, 4, 3]).astype('float32')
+    out = np.array([5, 4, 3]).astype('float32')
     dy = np.array([1, 0, -1]).astype('float32')
     acosh_grad = NetAcoshGrad()
-    output = acosh_grad(Tensor(x), Tensor(dy))
+    output = acosh_grad(Tensor(out), Tensor(dy))
     print(output)
-    expect = dy / np.sqrt(x * x - 1)
+    expect = dy / np.sinh(out)
     assert np.allclose(output.asnumpy(), expect)
diff --git a/tests/st/ops/cpu/test_asinh_grad_op.py b/tests/st/ops/cpu/test_asinh_grad_op.py
index 916d74b9eca..ef0bc25798e 100644
--- a/tests/st/ops/cpu/test_asinh_grad_op.py
+++ b/tests/st/ops/cpu/test_asinh_grad_op.py
@@ -37,10 +37,10 @@ class NetAsinhGrad(nn.Cell):
 @pytest.mark.platform_x86_cpu
 @pytest.mark.env_onecard
 def test_asinh_grad():
-    x = np.array([-0.5, 0, 0.5]).astype('float32')
+    out = np.array([-0.5, 0, 0.5]).astype('float32')
     dy = np.array([1, 0, -1]).astype('float32')
     asinh_grad = NetAsinhGrad()
-    output = asinh_grad(Tensor(x), Tensor(dy))
+    output = asinh_grad(Tensor(out), Tensor(dy))
     print(output)
-    expect = dy / np.sqrt(1 + x * x)
+    expect = dy / np.cosh(out)
     assert np.allclose(output.asnumpy(), expect)