diff --git a/mindspore/ops/_op_impl/akg/gpu/equal.py b/mindspore/ops/_op_impl/akg/gpu/equal.py
index 40a3590f61..c63988f202 100644
--- a/mindspore/ops/_op_impl/akg/gpu/equal.py
+++ b/mindspore/ops/_op_impl/akg/gpu/equal.py
@@ -22,6 +22,7 @@ equal_op_info = AkgGpuRegOp("Equal") \
     .output(0, "output") \
     .dtype_format(DataType.F16_Default, DataType.F16_Default, DataType.BOOL_Default) \
     .dtype_format(DataType.F32_Default, DataType.F32_Default, DataType.BOOL_Default) \
+    .dtype_format(DataType.I32_Default, DataType.I32_Default, DataType.BOOL_Default) \
     .get_op_info()
 
 
diff --git a/tests/st/ops/gpu/test_equal_op.py b/tests/st/ops/gpu/test_equal_op.py
index 6dc08b08bb..5d38a3abd0 100644
--- a/tests/st/ops/gpu/test_equal_op.py
+++ b/tests/st/ops/gpu/test_equal_op.py
@@ -60,6 +60,11 @@ def test_equal():
     y1_np = np.array([0, 1, -3]).astype(np.float32)
     y1 = Tensor(y1_np)
     expect1 = np.equal(x1_np, y1_np)
+    x2_np = np.array([0, 1, 3]).astype(np.int32)
+    x2 = Tensor(x2_np)
+    y2_np = np.array([0, 1, -3]).astype(np.int32)
+    y2 = Tensor(y2_np)
+    expect2 = np.equal(x2_np, y2_np)
 
     context.set_context(mode=context.PYNATIVE_MODE, device_target="GPU")
     equal = NetEqual()
@@ -69,6 +74,9 @@ def test_equal():
     output1 = equal(x1, y1)
     assert np.all(output1.asnumpy() == expect1)
     assert output1.shape == expect1.shape
+    output2 = equal(x2, y2)
+    assert np.all(output2.asnumpy() == expect2)
+    assert output2.shape == expect2.shape
 
     context.set_context(mode=context.GRAPH_MODE, device_target="GPU")
     equal = NetEqual()
@@ -78,6 +86,9 @@ def test_equal():
     output1 = equal(x1, y1)
     assert np.all(output1.asnumpy() == expect1)
     assert output1.shape == expect1.shape
+    output2 = equal(x2, y2)
+    assert np.all(output2.asnumpy() == expect2)
+    assert output2.shape == expect2.shape
 
 
 @pytest.mark.level0