Add Unsqueeze op composite rule (#51527)

* first test

* add unsqueeze_op

python/paddle/fluid/tests/unittests/CMakeLists.txt

@@ -1215,7 +1215,8 @@ set(TEST_CINN_OPS
     test_elementwise_pow_op
     test_transpose_op
     test_reshape_op
-    test_mean_op)
+    test_mean_op
+    test_unsqueeze2_op)
 
 foreach(TEST_CINN_OPS ${TEST_CINN_OPS})
   if(WITH_CINN)

python/paddle/fluid/tests/unittests/test_unsqueeze2_op.py

@@ -36,9 +36,12 @@ class TestUnsqueezeOp(OpTest):
             "Out": self.inputs["X"].reshape(self.new_shape),
             "XShape": np.random.random(self.ori_shape).astype("float64"),
         }
+        self.prim_op_type = "comp"
 
     def test_check_output(self):
-        self.check_output(no_check_set=["XShape"], check_eager=True)
+        self.check_output(
+            no_check_set=["XShape"], check_eager=True, check_prim=True
+        )
 
     def test_check_grad(self):
         self.check_grad(["X"], "Out", check_eager=True)
@@ -89,6 +92,7 @@ class TestUnsqueezeOp_ZeroDim1(TestUnsqueezeOp):
         self.ori_shape = ()
         self.axes = (-1,)
         self.new_shape = 1
+        self.enable_cinn = False
 
 
 class TestUnsqueezeOp_ZeroDim2(TestUnsqueezeOp):
@@ -96,6 +100,7 @@ class TestUnsqueezeOp_ZeroDim2(TestUnsqueezeOp):
         self.ori_shape = ()
         self.axes = (-1, 1)
         self.new_shape = (1, 1)
+        self.enable_cinn = False
 
 
 class TestUnsqueezeOp_ZeroDim3(TestUnsqueezeOp):
@@ -103,6 +108,7 @@ class TestUnsqueezeOp_ZeroDim3(TestUnsqueezeOp):
         self.ori_shape = ()
         self.axes = (0, 1, 2)
         self.new_shape = (1, 1, 1)
+        self.enable_cinn = False
 
 
 # axes is a list(with tensor)

python/paddle/incubate/autograd/composite_rules.py

@@ -371,3 +371,23 @@ def relu_composite(x):
     """define composite rule of op relu."""
     # relu(x) = max(x, 0)
     return maximum(x, zeros_like(x))
+
+
+@REGISTER_COMPOSITE('unsqueeze2')
+def unsqueeze_composite(x, axis):
+    """define composite rule of op unsqueeze"""
+    """using reshape to implement unsqueeze op"""
+    x_shape = list(x.shape)
+    axis_list = list(axis)
+    for i in axis_list:
+        if i < 0:
+            i += len(x_shape) + 1
+        x_shape = (
+            x_shape[:i]
+            + [
+                1,
+            ]
+            + x_shape[i:]
+        )
+    out = reshape(x, x_shape)
+    return [out, None]