Fix (#69622)

Author: co63oc

test/cpp/fluid/assign_op_test.cc

@@ -55,12 +55,12 @@ TEST(AssignOp, AssignDenseTensorArray) {
   phi::TensorArray input;
   for (int i = 0; i < 5; ++i) {
     phi::DDim in_dims = common::make_ddim({i + 1, i + 2});
-    phi::DenseTensor lod_tensor;
-    float* in_data = lod_tensor.mutable_data<float>(in_dims, cpu_place);
+    phi::DenseTensor dense_tensor;
+    float* in_data = dense_tensor.mutable_data<float>(in_dims, cpu_place);
     for (int j = 0; j < (i + 1) * (i + 2); ++j) {
       in_data[j] = static_cast<float>(j);
     }
-    input.push_back(lod_tensor);
+    input.push_back(dense_tensor);
   }
 
   assign_functor(input);

test/cpp/fluid/platform/bfloat16_test.cc

@@ -103,8 +103,8 @@ TEST(bfloat16, comparison_cpu) {
   EXPECT_TRUE(bfloat16(2.0f) >= bfloat16(2.0f));
 }
 
-TEST(bfloat16, lod_tensor_cpu) {
-  phi::DenseTensor lod_tensor;
+TEST(bfloat16, dense_tensor_cpu) {
+  phi::DenseTensor dense_tensor;
 
   std::vector<bfloat16> input_data = {
       bfloat16(1.0f), bfloat16(0.5f), bfloat16(0.33333f), bfloat16(0.0f)};
@@ -113,12 +113,12 @@ TEST(bfloat16, lod_tensor_cpu) {
   EXPECT_EQ(input_data[2].x, 0x3eab);
   EXPECT_EQ(input_data[3].x, 0x0000);
 
-  lod_tensor.Resize({4, 1});
-  lod_tensor.set_lod(phi::LoD({{0, 2, 4}}));
-  bfloat16* data_ptr = lod_tensor.mutable_data<bfloat16>(CPUPlace());
+  dense_tensor.Resize({4, 1});
+  dense_tensor.set_lod(phi::LoD({{0, 2, 4}}));
+  bfloat16* data_ptr = dense_tensor.mutable_data<bfloat16>(CPUPlace());
 
   EXPECT_NE(data_ptr, nullptr);
-  EXPECT_EQ(input_data.size(), static_cast<size_t>(lod_tensor.numel()));
+  EXPECT_EQ(input_data.size(), static_cast<size_t>(dense_tensor.numel()));
   for (size_t i = 0; i < input_data.size(); ++i) {
     data_ptr[i] = input_data[i];
     EXPECT_EQ(data_ptr[i].x, input_data[i].x);

test/cpp/fluid/platform/bfloat16_test.cu

@@ -56,7 +56,7 @@ TEST(bfloat16, convert_bfloat16_to_float32_on_gpu) {
   EXPECT_EQ(static_cast<bool>(bfloat16(true)), true);
 }
 
-TEST(bfloat16, lod_tensor_on_gpu) {
+TEST(bfloat16, dense_tensor_on_gpu) {
   phi::DenseTensor src_tensor;
   phi::DenseTensor gpu_tensor;
   phi::DenseTensor dst_tensor;

test/cpp/fluid/platform/float16_test.cu

@@ -317,7 +317,7 @@ TEST(float16, conversion_on_gpu) {
   EXPECT_EQ(v_assign.x, 0x3c00);
 }
 
-TEST(float16, lod_tensor_on_gpu) {
+TEST(float16, dense_tensor_on_gpu) {
   phi::DenseTensor src_tensor;
   phi::DenseTensor gpu_tensor;
   phi::DenseTensor dst_tensor;

test/cpp/imperative/test_layer.cc

@@ -224,15 +224,15 @@ TEST(test_layer, test_debug_string) {
   ASSERT_TRUE(res_ut.find("UNRESOLVED_TYPE") != std::string::npos);
 
   // 4. test uninit lod tensor
-  std::shared_ptr<imperative::VarBase> lod_tensor(
-      new imperative::VarBase(false, "lod_tensor"));
-  auto tensor_l = lod_tensor->MutableVar()->GetMutable<phi::DenseTensor>();
-  std::string res_ui_lod_t = test_func(lod_tensor);
-  ASSERT_TRUE(res_ui_lod_t.find("NOT_INITED") != std::string::npos);
+  std::shared_ptr<imperative::VarBase> dense_tensor(
+      new imperative::VarBase(false, "dense_tensor"));
+  auto tensor_l = dense_tensor->MutableVar()->GetMutable<phi::DenseTensor>();
+  std::string res_ui_dense_t = test_func(dense_tensor);
+  ASSERT_TRUE(res_ui_dense_t.find("NOT_INITED") != std::string::npos);
 
   // 5. test init lod tensor
   tensor_l->mutable_data<float>(place);
-  std::string res_lod_t = test_func(lod_tensor);
+  std::string res_lod_t = test_func(dense_tensor);
   ASSERT_TRUE(res_lod_t.find("DenseTensor") != std::string::npos);
 
   // 6. test uninit selected rows

test/dygraph_to_static/test_len.py

@@ -38,7 +38,7 @@ def len_with_tensor(x):
     return x_len
 
 
-def len_with_lod_tensor_array(x):
+def len_with_dense_tensor_array(x):
     x = paddle.to_tensor(x)
 
     i = paddle.tensor.fill_constant(shape=[1], dtype='int64', value=0)
@@ -75,7 +75,7 @@ def test_len(self):
 
 class TestLenWithTensorArray(TestLen):
     def init_func(self):
-        self.func = len_with_lod_tensor_array
+        self.func = len_with_dense_tensor_array
 
 
 # Note: Variable(SelectedRows) is not exposed directly in dygraph.

test/legacy_test/test_eager_tensor.py

@@ -236,10 +236,10 @@ def check_with_place(place):
 
                 numpy_array = np.random.randn(3, 4)
                 # covert core.DenseTensor to paddle.Tensor
-                lod_tensor = paddle.base.core.DenseTensor()
+                dense_tensor = paddle.base.core.DenseTensor()
                 place = paddle.base.framework._current_expected_place()
-                lod_tensor.set(numpy_array, place)
-                x = paddle.to_tensor(lod_tensor)
+                dense_tensor.set(numpy_array, place)
+                x = paddle.to_tensor(dense_tensor)
                 np.testing.assert_array_equal(x.numpy(), numpy_array)
                 self.assertEqual(x.type, core.VarDesc.VarType.DENSE_TENSOR)
                 self.assertEqual(str(x.place), str(place))
@@ -349,19 +349,19 @@ def test_to_tensor_change_place(self):
                 a = paddle.to_tensor(a, place=paddle.CUDAPinnedPlace())
                 self.assertEqual(a.place.__repr__(), "Place(gpu_pinned)")
 
-    def test_to_tensor_with_lodtensor(self):
+    def test_to_tensor_with_densetensor(self):
         if core.is_compiled_with_cuda():
             a_np = np.random.rand(1024, 1024)
             with paddle.base.dygraph.guard(core.CPUPlace()):
-                lod_tensor = core.DenseTensor()
-                lod_tensor.set(a_np, core.CPUPlace())
-                a = paddle.to_tensor(lod_tensor)
+                dense_tensor = core.DenseTensor()
+                dense_tensor.set(a_np, core.CPUPlace())
+                a = paddle.to_tensor(dense_tensor)
                 np.testing.assert_array_equal(a_np, a.numpy())
 
             with paddle.base.dygraph.guard(core.CUDAPlace(0)):
-                lod_tensor = core.DenseTensor()
-                lod_tensor.set(a_np, core.CUDAPlace(0))
-                a = paddle.to_tensor(lod_tensor, place=core.CPUPlace())
+                dense_tensor = core.DenseTensor()
+                dense_tensor.set(a_np, core.CUDAPlace(0))
+                a = paddle.to_tensor(dense_tensor, place=core.CPUPlace())
                 np.testing.assert_array_equal(a_np, a.numpy())
                 self.assertTrue(a.place.__repr__(), "Place(cpu)")
 

test/legacy_test/test_fetch_lod_tensor_array.py

@@ -78,7 +78,7 @@ def check_network(self, use_cuda=True):
             self.assertEqual(array_v[2].shape, ())
             np.testing.assert_allclose(loss_v, array_v[2], rtol=1e-05)
 
-    def test_fetch_lod_tensor_array(self):
+    def test_fetch_dense_tensor_array(self):
         if base.core.is_compiled_with_cuda():
             self.check_network(use_cuda=True)
         self.check_network(use_cuda=False)