diff --git a/paddle/phi/kernels/impl/solve_kernel_impl.h b/paddle/phi/kernels/impl/solve_kernel_impl.h
index 4120823a9d2e91adc69423b49e809892c4acd402..d5ecfdff21a998138a779d65c45ace7321940483 100644
--- a/paddle/phi/kernels/impl/solve_kernel_impl.h
+++ b/paddle/phi/kernels/impl/solve_kernel_impl.h
@@ -169,7 +169,7 @@ static void linalg_solve(const Context& dev_ctx,
     out_tmp.Resize(out->dims());
     out_tmp = *out;
 
-    phi::SqueezeKernel<T, Context>(dev_ctx, out_tmp, {-1}, out);
+    phi::Squeeze<T, Context>(dev_ctx, out_tmp, {-1}, out);
   } else {
     PADDLE_ENFORCE_EQ(
         x_dim[x_dim_size - 1],
diff --git a/paddle/phi/kernels/impl/squeeze_kernel_impl.h b/paddle/phi/kernels/impl/squeeze_kernel_impl.h
index cb5eed521cd226d6d390c86a32092bebc1e6905c..a20981d78979bdad848288d46639f29a5e51394e 100644
--- a/paddle/phi/kernels/impl/squeeze_kernel_impl.h
+++ b/paddle/phi/kernels/impl/squeeze_kernel_impl.h
@@ -23,11 +23,7 @@ void SqueezeKernel(const Context& dev_ctx,
                    const DenseTensor& x,
                    const IntArray& axes,
                    DenseTensor* out) {
-  auto x_dims = x.dims();
-  std::vector<int32_t> tmp(axes.GetData().begin(), axes.GetData().end());
-  auto out_dims = funcs::GetOutputSqueezeShape(tmp, x_dims, true);
-  out->Resize(out_dims);
-
+  auto out_dims = out->dims();
   dev_ctx.template Alloc<T>(out);
   phi::Copy(dev_ctx, x, dev_ctx.GetPlace(), false, out);
   out->Resize(out_dims);  // copy will reset the dims.
diff --git a/paddle/phi/kernels/squeeze_kernel.h b/paddle/phi/kernels/squeeze_kernel.h
index 7e5a1b0775ab662b9b88e62fcd23320fd9724d2e..03d708b312089827f8032ef9b40f83bb2abd255b 100644
--- a/paddle/phi/kernels/squeeze_kernel.h
+++ b/paddle/phi/kernels/squeeze_kernel.h
@@ -17,6 +17,7 @@
 
 #include "paddle/phi/common/int_array.h"
 #include "paddle/phi/core/dense_tensor.h"
+#include "paddle/phi/infermeta/unary.h"
 
 namespace phi {
 
@@ -33,4 +34,14 @@ void SqueezeWithXShapeKernel(const Context& dev_ctx,
                              DenseTensor* out,
                              DenseTensor* xshape);
 
+template <typename T, typename Context>
+void Squeeze(const Context& dev_ctx,
+             const DenseTensor& x,
+             const IntArray& axes,
+             DenseTensor* out) {
+  MetaTensor meta_out(out);
+  SqueezeInferMeta(x, axes, &meta_out);
+  SqueezeKernel<T, Context>(dev_ctx, x, axes, out);
+}
+
 }  // namespace phi
diff --git a/python/paddle/fluid/tests/unittests/test_squeeze2_op.py b/python/paddle/fluid/tests/unittests/test_squeeze2_op.py
index 9d3cd7fecc94334bfd0fdcc863ee8d016626f5b7..5a71efafbdbfc17dfd5315e05fb1b7d786a534dd 100755
--- a/python/paddle/fluid/tests/unittests/test_squeeze2_op.py
+++ b/python/paddle/fluid/tests/unittests/test_squeeze2_op.py
@@ -28,7 +28,6 @@ paddle.enable_static()
 
 # Correct: General.
 class TestSqueezeOp(OpTest):
-
     def setUp(self):
         self.op_type = "squeeze2"
         self.python_api = paddle.squeeze
@@ -40,7 +39,7 @@ class TestSqueezeOp(OpTest):
         self.init_attrs()
         self.outputs = {
             "Out": self.inputs["X"].reshape(self.new_shape),
-            "XShape": np.random.random(self.ori_shape).astype("float64")
+            "XShape": np.random.random(self.ori_shape).astype("float64"),
         }
 
     def test_check_output(self):
@@ -60,7 +59,6 @@ class TestSqueezeOp(OpTest):
 
 # Correct: There is mins axis.
 class TestSqueezeOp1(TestSqueezeOp):
-
     def init_test_case(self):
         self.ori_shape = (1, 20, 1, 5)
         self.axes = (0, -2)
@@ -69,7 +67,6 @@ class TestSqueezeOp1(TestSqueezeOp):
 
 # Correct: No axes input.
 class TestSqueezeOp2(TestSqueezeOp):
-
     def init_test_case(self):
         self.ori_shape = (1, 20, 1, 5)
         self.axes = ()
@@ -78,7 +75,6 @@ class TestSqueezeOp2(TestSqueezeOp):
 
 # Correct: Just part of axes be squeezed.
 class TestSqueezeOp3(TestSqueezeOp):
-
     def init_test_case(self):
         self.ori_shape = (6, 1, 5, 1, 4, 1)
         self.axes = (1, -1)
@@ -86,7 +82,6 @@ class TestSqueezeOp3(TestSqueezeOp):
 
 
 class TestSqueeze2AxesTensor(UnittestBase):
-
     def init_info(self):
         self.shapes = [[2, 3, 4]]
         self.save_path = os.path.join(self.temp_dir.name, 'squeeze_tensor')
@@ -123,7 +118,6 @@ class TestSqueeze2AxesTensor(UnittestBase):
 
 
 class TestSqueeze2AxesTensorList(UnittestBase):
-
     def init_info(self):
         self.shapes = [[2, 3, 4]]
         self.save_path = os.path.join(self.temp_dir.name, 'squeeze_tensor')
@@ -140,7 +134,7 @@ class TestSqueeze2AxesTensorList(UnittestBase):
             # axes is a list[Variable]
             axes = [
                 paddle.full([1], 0, dtype='int32'),
-                paddle.full([1], 2, dtype='int32')
+                paddle.full([1], 2, dtype='int32'),
             ]
             out = paddle.squeeze(feat, axes)
             out2 = paddle.fluid.layers.squeeze(feat, axes)
@@ -162,5 +156,37 @@ class TestSqueeze2AxesTensorList(UnittestBase):
             self.assertEqual(infer_out.shape, (2, 3, 10))
 
 
+# test api
+class TestSqueezeAPI(unittest.TestCase):
+    def setUp(self):
+        self.executed_api()
+
+    def executed_api(self):
+        self.squeeze = paddle.squeeze
+
+    def test_api(self):
+        paddle.disable_static()
+        input_data = np.random.random([3, 2, 1]).astype("float32")
+        x = paddle.to_tensor(input_data)
+        out = self.squeeze(x, axis=2)
+        out.backward()
+
+        self.assertEqual(out.shape, [3, 2])
+
+        paddle.enable_static()
+
+    def test_error(self):
+        def test_axes_type():
+            x2 = paddle.static.data(name="x2", shape=[2, 1, 25], dtype="int32")
+            self.squeeze(x2, axis=2.1)
+
+        self.assertRaises(TypeError, test_axes_type)
+
+
+class TestSqueezeInplaceAPI(TestSqueezeAPI):
+    def executed_api(self):
+        self.squeeze = paddle.squeeze_
+
+
 if __name__ == "__main__":
     unittest.main()