[Cleanup][B-13]Replace to_variable (#61534)

co63oc · web-flow · commit 2bbd6f84c1db · 2024-02-05T19:00:04.000+08:00
diff --git a/test/legacy_test/test_kron_op.py b/test/legacy_test/test_kron_op.py
@@ -127,8 +127,8 @@ def test_case(self):
         b = np.random.randn(10, 10).astype(np.float64)
         place = base.CPUPlace()
         with dg.guard(place):
-            a_var = dg.to_variable(a)
-            b_var = dg.to_variable(b)
+            a_var = paddle.to_tensor(a)
+            b_var = paddle.to_tensor(b)
             c_var = paddle.kron(a_var, b_var)
             np.testing.assert_allclose(c_var.numpy(), np.kron(a, b))
 
diff --git a/test/legacy_test/test_label_smooth_functional.py b/test/legacy_test/test_label_smooth_functional.py
@@ -82,7 +82,7 @@ def functional(self, place):
 
     def paddle_dygraph_layer(self):
         paddle.disable_static()
-        label_var = dg.to_variable(self.label)
+        label_var = paddle.to_tensor(self.label)
         y_var = F.label_smooth(
             label_var, prior_dist=self.prior_dist, epsilon=self.epsilon
         )
diff --git a/test/legacy_test/test_learning_rate_scheduler.py b/test/legacy_test/test_learning_rate_scheduler.py
@@ -121,7 +121,7 @@ def test_LR_state_dict(self):
         with base.dygraph.guard():
             x = np.random.uniform(-1, 1, [3, 10]).astype("float32")
             linear = paddle.nn.Linear(10, 10)
-            input = base.dygraph.to_variable(x)
+            input = paddle.to_tensor(x)
 
             Exponential_scheduler = paddle.optimizer.lr.ExponentialDecay(
                 learning_rate=0.1,
diff --git a/test/legacy_test/test_linear_interp_op.py b/test/legacy_test/test_linear_interp_op.py
@@ -256,7 +256,7 @@ def test_case(self):
             data_format='NCW',
         )
         with base.dygraph.guard():
-            x = base.dygraph.to_variable(x_data)
+            x = paddle.to_tensor(x_data)
             interp = us_1(x)
 
             expect = linear_interp_np(
diff --git a/test/legacy_test/test_linear_interp_v2_op.py b/test/legacy_test/test_linear_interp_v2_op.py
@@ -336,7 +336,7 @@ def test_case(self):
             data_format='NCW',
         )
         with base.dygraph.guard():
-            x = base.dygraph.to_variable(x_data)
+            x = paddle.to_tensor(x_data)
             interp = us_1(x)
 
             expect = linear_interp_np(
diff --git a/test/legacy_test/test_matmul_op.py b/test/legacy_test/test_matmul_op.py
@@ -200,8 +200,8 @@ def test_dygraph_without_out(self):
         with base.dygraph.guard(device):
             input_array1 = np.random.rand(3, 4).astype("float64")
             input_array2 = np.random.rand(4, 3).astype("float64")
-            data1 = base.dygraph.to_variable(input_array1)
-            data2 = base.dygraph.to_variable(input_array2)
+            data1 = paddle.to_tensor(input_array1)
+            data2 = paddle.to_tensor(input_array2)
             out = paddle.mm(data1, data2)
             expected_result = np.matmul(input_array1, input_array2)
         np.testing.assert_allclose(expected_result, out.numpy(), rtol=1e-05)
@@ -213,8 +213,8 @@ def test_dygraph_without_out(self):
         with base.dygraph.guard(device):
             input_array1 = np.random.rand(3, 4).astype("float64")
             input_array2 = np.random.rand(4, 3).astype("float64")
-            data1 = base.dygraph.to_variable(input_array1)
-            data2 = base.dygraph.to_variable(input_array2)
+            data1 = paddle.to_tensor(input_array1)
+            data2 = paddle.to_tensor(input_array2)
             out = paddle.matmul(data1, data2)
             expected_result = np.matmul(input_array1, input_array2)
         np.testing.assert_allclose(expected_result, out.numpy(), rtol=1e-05)
diff --git a/test/legacy_test/test_matrix_power_op.py b/test/legacy_test/test_matrix_power_op.py
@@ -388,7 +388,7 @@ def test_dygraph(self):
         for place in self.places:
             with base.dygraph.guard(place):
                 input_np = np.ones([4, 4]).astype("float64")
-                input = base.dygraph.to_variable(input_np)
+                input = paddle.to_tensor(input_np)
                 try:
                     result = paddle.linalg.matrix_power(input, -2)
                 except RuntimeError as ex:
diff --git a/test/xpu/test_matmul_op_xpu.py b/test/xpu/test_matmul_op_xpu.py
@@ -151,8 +151,8 @@ def test_dygraph_without_out(self):
             with base.dygraph.guard(device):
                 input_array1 = np.random.rand(3, 4).astype(self.in_type)
                 input_array2 = np.random.rand(4, 3).astype(self.in_type)
-                data1 = base.dygraph.to_variable(input_array1)
-                data2 = base.dygraph.to_variable(input_array2)
+                data1 = paddle.to_tensor(input_array1)
+                data2 = paddle.to_tensor(input_array2)
                 out = paddle.mm(data1, data2)
                 expected_result = np.matmul(input_array1, input_array2)
                 np.testing.assert_allclose(
@@ -165,12 +165,8 @@ def test_dygraph_without_out(self):
             with base.dygraph.guard(device):
                 input_array1 = np.random.rand(3, 4).astype(self.in_type)
                 input_array2 = np.random.rand(4, 3).astype(self.in_type)
-                data1 = base.dygraph.to_variable(input_array1).astype(
-                    self.in_type
-                )
-                data2 = base.dygraph.to_variable(input_array2).astype(
-                    self.in_type
-                )
+                data1 = paddle.to_tensor(input_array1).astype(self.in_type)
+                data2 = paddle.to_tensor(input_array2).astype(self.in_type)
                 out = paddle.matmul(data1, data2)
                 expected_result = np.matmul(input_array1, input_array2)
                 np.testing.assert_allclose(

Original file line number	Diff line number	Diff line change
`@@ -82,7 +82,7 @@ def functional(self, place):`
`82`	`82`
`83`	`83`	`def paddle_dygraph_layer(self):`
`84`	`84`	`paddle.disable_static()`
`85`		`- label_var = dg.to_variable(self.label)`
	`85`	`+ label_var = paddle.to_tensor(self.label)`
`86`	`86`	`y_var = F.label_smooth(`
`87`	`87`	`label_var, prior_dist=self.prior_dist, epsilon=self.epsilon`
`88`	`88`	`)`
Original file line number	Diff line number	Diff line change
`@@ -256,7 +256,7 @@ def test_case(self):`
`256`	`256`	`data_format='NCW',`
`257`	`257`	`)`
`258`	`258`	`with base.dygraph.guard():`
`259`		`- x = base.dygraph.to_variable(x_data)`
	`259`	`+ x = paddle.to_tensor(x_data)`
`260`	`260`	`interp = us_1(x)`
`261`	`261`
`262`	`262`	`expect = linear_interp_np(`
Original file line number	Diff line number	Diff line change
`@@ -336,7 +336,7 @@ def test_case(self):`
`336`	`336`	`data_format='NCW',`
`337`	`337`	`)`
`338`	`338`	`with base.dygraph.guard():`
`339`		`- x = base.dygraph.to_variable(x_data)`
	`339`	`+ x = paddle.to_tensor(x_data)`
`340`	`340`	`interp = us_1(x)`
`341`	`341`
`342`	`342`	`expect = linear_interp_np(`