Fix

Author: co63oc

.pre-commit-config.yaml

@@ -90,8 +90,8 @@ repos:
     rev: v0.6.13
     hooks:
     -   id: cmake-format
--   repo: https://github.com/cmake-lint/cmake-lint
-    rev: 1.4.2
+-   repo: https://github.com/PFCCLab/cmake-lint-paddle
+    rev: v1.5.1
     hooks:
     -   id: cmakelint
         args: [--config=./tools/codestyle/.cmakelintrc]

backends/custom_cpu/tests/unittests/test_argsort_op.py

@@ -70,7 +70,7 @@ def forward(self):
 
 
 def create_tensor(np_data, place):
-    tensor = core.LoDTensor()
+    tensor = core.DenseTensor()
     tensor.set(np_data, place)
     return tensor
 

backends/custom_cpu/tests/unittests/test_slice_op.py

@@ -582,7 +582,7 @@ def test_case_1(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 1)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         self.assertTrue(np.array_equal(self.out, self.data))
         self.assertTrue(np.array_equal(self.g_x0, np.ones_like(self.data)))
@@ -593,7 +593,7 @@ def test_case_2(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 2)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         self.assertTrue(
             np.array_equal(self.out, np.stack([self.data, self.data], axis=self.axis))
@@ -606,7 +606,7 @@ def test_case_3(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 3)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         self.assertTrue(
             np.array_equal(

backends/gcu/tests/unittests_legacy/test_argsort_op_gcu.py

@@ -181,7 +181,7 @@ def forward(self):
 
 
 def create_tensor(np_data, place):
-    tensor = core.LoDTensor()
+    tensor = core.DenseTensor()
     tensor.set(np_data, place)
     return tensor
 

backends/intel_gpu/tests/unittests/test_argsort_op.py

@@ -69,7 +69,7 @@ def forward(self):
 
 
 def create_tensor(np_data, place):
-    tensor = core.LoDTensor()
+    tensor = core.DenseTensor()
     tensor.set(np_data, place)
     return tensor
 

backends/intel_gpu/tests/unittests/test_slice_op.py

@@ -582,7 +582,7 @@ def test_slice_api(self):
 #         main_program = base.Program()
 #         self.set_program_and_run(main_program, 1)
 
-#         self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR)
+#         self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR)
 #         self.assertEqual(self.sliced_arr.shape, self.shape)
 #         self.assertTrue(np.array_equal(self.out, self.data))
 #         self.assertTrue(np.array_equal(self.g_x0, np.ones_like(self.data)))
@@ -594,7 +594,7 @@ def test_slice_api(self):
 #         self.set_program_and_run(main_program, 2)
 
 #         self.assertTrue(
-#             self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+#             self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
 #         self.assertEqual(self.sliced_arr.shape, self.shape)
 #         self.assertTrue(
 #             np.array_equal(
@@ -609,7 +609,7 @@ def test_slice_api(self):
 #         self.set_program_and_run(main_program, 3)
 
 #         self.assertTrue(
-#             self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+#             self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
 #         self.assertEqual(self.sliced_arr.shape, self.shape)
 #         self.assertTrue(
 #             np.array_equal(

backends/npu/tests/unittests/test_slice_op_npu.py

@@ -666,7 +666,7 @@ def test_case_1(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 1)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         np.testing.assert_array_equal(self.out, self.data)
         np.testing.assert_array_equal(self.g_x0, np.ones_like(self.data))
@@ -677,7 +677,7 @@ def test_case_2(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 2)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         np.testing.assert_array_equal(
             self.out, np.stack([self.data, self.data], axis=self.axis)
@@ -690,7 +690,7 @@ def test_case_3(self):
         main_program = base.Program()
         self.set_program_and_run(main_program, 3)
 
-        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.LOD_TENSOR_ARRAY)
+        self.assertTrue(self.sliced_arr.type == core.VarDesc.VarType.DENSE_TENSOR_ARRAY)
         self.assertEqual(self.sliced_arr.shape, self.shape)
         np.testing.assert_array_equal(
             self.out,

backends/npu/tests/unittests/test_strided_slice_op_npu.py

@@ -689,7 +689,7 @@ def test_dygraph_op(self):
 
 #         numeric_output = [self.data, self.data]
 #         self.assertTrue(
-#             self.sliced_arr.type == base.core.VarDesc.VarType.LOD_TENSOR_ARRAY
+#             self.sliced_arr.type == base.core.VarDesc.VarType.DENSE_TENSOR_ARRAY
 #         )
 #         np.testing.assert_array_equal(self.out, numeric_output)
 #         np.testing.assert_array_equal(self.g_x0, np.zeros_like(self.data))