PaddlePaddle
diff --git a/‎paddle/phi/api/yaml/fused_ops.yaml
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+1-1Lines changed: 1 addition & 1 deletion b/‎paddle/phi/api/yaml/fused_ops.yaml
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diff --git a/‎paddle/phi/api/yaml/op_version.yaml
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diff --git a/‎paddle/phi/api/yaml/ops.yaml
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diff --git a/‎test/auto_parallel/hybrid_strategy/semi_auto_parallel_global_input.py
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+6-6Lines changed: 6 additions & 6 deletions b/‎test/auto_parallel/hybrid_strategy/semi_auto_parallel_global_input.py
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diff --git a/‎test/auto_parallel/hybrid_strategy/semi_auto_parallel_multi_inputs.py
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+5-5Lines changed: 5 additions & 5 deletions b/‎test/auto_parallel/hybrid_strategy/semi_auto_parallel_multi_inputs.py
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diff --git a/‎test/cpp/fluid/framework/details/broadcast_op_handle_test.h
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diff --git a/‎test/cpp/fluid/framework/details/reduce_op_handle_test.cc
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+2-2Lines changed: 2 additions & 2 deletions b/‎test/cpp/fluid/framework/details/reduce_op_handle_test.cc
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diff --git a/‎test/cpp/fluid/framework/io/cipher_utils_test.cc
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+1-1Lines changed: 1 addition & 1 deletion b/‎test/cpp/fluid/framework/io/cipher_utils_test.cc
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diff --git a/‎test/cpp/fluid/framework/selected_rows_utils_test.cc
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+1-1Lines changed: 1 addition & 1 deletion b/‎test/cpp/fluid/framework/selected_rows_utils_test.cc
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diff --git a/‎test/cpp/imperative/test_gradient_accmulator.cc
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+49-49Lines changed: 49 additions & 49 deletions b/‎test/cpp/imperative/test_gradient_accmulator.cc
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+49-49Lines changed: 49 additions & 49 deletions
@@ -1,4 +1,4 @@
-# This file is designed for fusion C++ farward operators, which manages the
+# This file is designed for fusion C++ forward operators, which manages the
 # generated code for static mode and dynamic mode (when `support_dygraph_mode` is true).
 # "support_dygraph_mode" is an extra configuration item in this file,
 # if one operator have "support_dygraph_mode : true", it supports dygraph mode,
 
@@ -274,7 +274,7 @@
 
 - op : generate_proposals
   version :
-    - checkpoint : Registe generate_proposals_v2 for adding the attribute of pixel_offset
+    - checkpoint : Register generate_proposals_v2 for adding the attribute of pixel_offset
       action :
         - add_attr : pixel_offset
           comment : If true, im_shape pixel offset is 1.
 
@@ -1,7 +1,7 @@
 # This file is designed for C++ operators, which manages the
 # generated code for dynamic mode and static mode. If you want
 # to add the new operator configuration, make sure an operator's
-# Python API, dynamic graph API, and static graph Opertaor parameters
+# Python API, dynamic graph API, and static graph Operator parameters
 # are consistent and correspond one-to-one. It's forbidden that the
 # operator configured in this yaml file does not have Python API.
 
 
@@ -21,7 +21,7 @@
 from paddle.io import BatchSampler, DataLoader, Dataset
 
 SEQ_LEN = 4
-HIDDLE_SIZE = 8
+HIDDEN_SIZE = 8
 global_mesh = dist.ProcessMesh(
     [[[0, 1], [2, 3]], [[4, 5], [6, 7]]], dim_names=['pp', 'dp', 'mp']
 )
@@ -33,19 +33,19 @@ class MlpModel(paddle.nn.Layer):
     def __init__(self, variable_initial_values, run_single_process=False):
         super().__init__()
         self.w0 = self.create_parameter(
-            shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+            shape=[HIDDEN_SIZE, HIDDEN_SIZE],
             default_initializer=paddle.nn.initializer.Assign(
                 variable_initial_values[0]
             ),
         )
         self.w1 = self.create_parameter(
-            shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+            shape=[HIDDEN_SIZE, HIDDEN_SIZE],
             default_initializer=paddle.nn.initializer.Assign(
                 variable_initial_values[1]
             ),
         )
         self.global_input = paddle.uniform(
-            shape=[SEQ_LEN, HIDDLE_SIZE],
+            shape=[SEQ_LEN, HIDDEN_SIZE],
             dtype=paddle.float32,
             min=-0.0001,
             max=0.0001,
@@ -121,7 +121,7 @@ def __len__(self):
 
 
 def create_dataloader():
-    dataset = RandomDataset(SEQ_LEN, HIDDLE_SIZE)
+    dataset = RandomDataset(SEQ_LEN, HIDDEN_SIZE)
     sampler = BatchSampler(
         dataset,
         batch_size=2,
@@ -138,7 +138,7 @@ def get_variable_initial_value(var_num=2):
     for i in range(var_num):
         res.append(
             paddle.uniform(
-                shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+                shape=[HIDDEN_SIZE, HIDDEN_SIZE],
                 dtype=paddle.float32,
                 min=-0.0001,
                 max=0.0001,
 
@@ -21,7 +21,7 @@
 from paddle.io import BatchSampler, DataLoader, Dataset
 
 SEQ_LEN = 4
-HIDDLE_SIZE = 8
+HIDDEN_SIZE = 8
 global_mesh = dist.ProcessMesh(
     [[[0, 1], [2, 3]], [[4, 5], [6, 7]]], dim_names=['pp', 'dp', 'mp']
 )
@@ -33,13 +33,13 @@ class MlpModel(paddle.nn.Layer):
     def __init__(self, variable_initial_values, run_single_process=False):
         super().__init__()
         self.w0 = self.create_parameter(
-            shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+            shape=[HIDDEN_SIZE, HIDDEN_SIZE],
             default_initializer=paddle.nn.initializer.Assign(
                 variable_initial_values[0]
             ),
         )
         self.w1 = self.create_parameter(
-            shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+            shape=[HIDDEN_SIZE, HIDDEN_SIZE],
             default_initializer=paddle.nn.initializer.Assign(
                 variable_initial_values[1]
             ),
@@ -102,7 +102,7 @@ def __len__(self):
 
 
 def create_dataloader():
-    dataset = RandomDataset(SEQ_LEN, HIDDLE_SIZE)
+    dataset = RandomDataset(SEQ_LEN, HIDDEN_SIZE)
     sampler = BatchSampler(
         dataset,
         batch_size=2,
@@ -119,7 +119,7 @@ def get_variable_initial_value(var_num=2):
     for i in range(var_num):
         res.append(
             paddle.uniform(
-                shape=[HIDDLE_SIZE, HIDDLE_SIZE],
+                shape=[HIDDEN_SIZE, HIDDEN_SIZE],
                 dtype=paddle.float32,
                 min=-0.0001,
                 max=0.0001,
 
@@ -111,7 +111,7 @@ struct TestBroadcastOpHandle {
       nccl_ctxs_.reset(new platform::NCCLContextMap(place_list_));
 #else
       PADDLE_THROW(
-          platform::errors::PreconditionNotMet("Not compiled with NCLL."));
+          platform::errors::PreconditionNotMet("Not compiled with NCCL."));
 #endif
     } else {
       int count = 8;
 
@@ -74,7 +74,7 @@ struct TestReduceOpHandle {
       nccl_ctxs_ = std::make_unique<platform::NCCLContextMap>(gpu_list_);
 #else
       PADDLE_THROW(
-          platform::errors::PreconditionNotMet("Not compiled with NCLL."));
+          platform::errors::PreconditionNotMet("Not compiled with NCCL."));
 #endif
     } else {
       int count = 8;
@@ -109,7 +109,7 @@ struct TestReduceOpHandle {
           nodes.back().get(), local_scopes_, gpu_list_, nccl_ctxs_.get()));
 #else
       PADDLE_THROW(
-          platform::errors::PreconditionNotMet("Not compiled with NCLL."));
+          platform::errors::PreconditionNotMet("Not compiled with NCCL."));
 #endif
     } else {
 #if defined(PADDLE_WITH_NCCL) || defined(PADDLE_WITH_RCCL)
 
@@ -26,7 +26,7 @@ TEST(CipherUtils, load_config) {
   std::string filename("cryptotest_config_file.conf");
 
   std::ofstream fout(filename, std::ios::out);
-  fout << "# anotation test line:"
+  fout << "# annotation test line:"
           " must have two space along ':'."
        << std::endl;
   std::vector<std::string> key_value;
 
@@ -52,7 +52,7 @@ TEST_F(SelectedRowsTester, complete_dims) {
   ASSERT_EQ(selected_rows_->GetCompleteDims(), common::make_ddim({10, 100}));
 }
 
-TEST_F(SelectedRowsTester, SerializeAndDeseralize) {
+TEST_F(SelectedRowsTester, SerializeAndDeserialize) {
   phi::SelectedRows dst_tensor;
   phi::CPUContext cpu_ctx(place_);
   std::ostringstream oss;
 
@@ -77,7 +77,7 @@ TEST(Test__SelectedRowsMerge_Test, SelectedRowsMerge) {
 }
 
 template <typename Place1, typename Place2, typename T>
-int TensorddTest(Place1 place1, Place2 place2, T t1, T t2) {
+int TensorAddTest(Place1 place1, Place2 place2, T t1, T t2) {
   framework::Variable var1;
   framework::Variable var2;
   std::vector<T> src_data(10, t1);
@@ -150,110 +150,110 @@ TEST(test_add_functor, add_functor) {
   int cpu_res = 1;
 
   // float32
-  cpu_res = TensorddTest(
+  cpu_res = TensorAddTest(
       cpu_place, cpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(cpu_res, 0);
   // float16
-  cpu_res = TensorddTest(cpu_place,
-                         cpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  cpu_res = TensorAddTest(cpu_place,
+                          cpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(cpu_res, 0);
   // double
-  cpu_res = TensorddTest(
+  cpu_res = TensorAddTest(
       cpu_place, cpu_place, static_cast<double>(1.0), static_cast<double>(2.0));
   EXPECT_EQ(cpu_res, 0);
 
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
   int gpu_res = 1;
-  gpu_res = TensorddTest(gpu_place, gpu_place, 1.0, 0.0);
+  gpu_res = TensorAddTest(gpu_place, gpu_place, 1.0, 0.0);
   EXPECT_EQ(gpu_res, 0);
-  gpu_res = TensorddTest(
+  gpu_res = TensorAddTest(
       gpu_place, gpu_place, static_cast<double>(1.0), static_cast<double>(2.0));
   EXPECT_EQ(gpu_res, 0);
 
   // normal
-  gpu_res = TensorddTest(
+  gpu_res = TensorAddTest(
       gpu_place, gpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(gpu_res, 0);
-  gpu_res = TensorddTest(gpu_place,
-                         gpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  gpu_res = TensorAddTest(gpu_place,
+                          gpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(gpu_res, 0);
   // different places
-  gpu_res = TensorddTest(
+  gpu_res = TensorAddTest(
       cpu_place, gpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(gpu_res, 0);
-  gpu_res = TensorddTest(
+  gpu_res = TensorAddTest(
       gpu_place, cpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(gpu_res, 0);
-  gpu_res = TensorddTest(cpu_place,
-                         gpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  gpu_res = TensorAddTest(cpu_place,
+                          gpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(gpu_res, 0);
-  gpu_res = TensorddTest(gpu_place,
-                         cpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  gpu_res = TensorAddTest(gpu_place,
+                          cpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(gpu_res, 0);
 #endif
 
 #ifdef PADDLE_WITH_XPU
   platform::XPUPlace xpu_place(0);
   int xpu_res = 1;
   // normal
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       xpu_place, xpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(xpu_place,
-                         xpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  xpu_res = TensorAddTest(xpu_place,
+                          xpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       xpu_place, xpu_place, static_cast<double>(1.0), static_cast<double>(2.0));
   EXPECT_EQ(xpu_res, 0);
   // different places
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       cpu_place, xpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       xpu_place, cpu_place, static_cast<float>(1.0), static_cast<float>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(cpu_place,
-                         xpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  xpu_res = TensorAddTest(cpu_place,
+                          xpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(xpu_place,
-                         cpu_place,
-                         static_cast<platform::float16>(1.0),
-                         static_cast<platform::float16>(2.0));
+  xpu_res = TensorAddTest(xpu_place,
+                          cpu_place,
+                          static_cast<platform::float16>(1.0),
+                          static_cast<platform::float16>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       cpu_place, xpu_place, static_cast<double>(1.0), static_cast<double>(2.0));
   EXPECT_EQ(xpu_res, 0);
-  xpu_res = TensorddTest(
+  xpu_res = TensorAddTest(
       xpu_place, cpu_place, static_cast<double>(1.0), static_cast<double>(2.0));
   EXPECT_EQ(xpu_res, 0);
 #endif
 }
 
-TEST(test_add_functor, execption) {
+TEST(test_add_functor, exception) {
   platform::CUDAPinnedPlace cuda_pinned_place;
   platform::CUDAPlace cuda_place(0);
   platform::CPUPlace cpu_place;
 
-  ASSERT_ANY_THROW(TensorddTest(cpu_place, cpu_place, 1, 0));
+  ASSERT_ANY_THROW(TensorAddTest(cpu_place, cpu_place, 1, 0));
 #if defined(PADDLE_WITH_CUDA) || defined(PADDLE_WITH_HIP)
   ASSERT_ANY_THROW(
-      TensorddTest(cuda_pinned_place, cuda_pinned_place, 1.0, 0.0));
-  ASSERT_ANY_THROW(TensorddTest(cuda_pinned_place,
-                                cuda_pinned_place,
-                                static_cast<platform::float16>(1.0),
-                                static_cast<platform::float16>(2.0)));
+      TensorAddTest(cuda_pinned_place, cuda_pinned_place, 1.0, 0.0));
+  ASSERT_ANY_THROW(TensorAddTest(cuda_pinned_place,
+                                 cuda_pinned_place,
+                                 static_cast<platform::float16>(1.0),
+                                 static_cast<platform::float16>(2.0)));
 #endif
 }
Original file line number	Diff line number	Diff line change
`@@ -1,4 +1,4 @@`
`1`		`-# This file is designed for fusion C++ farward operators, which manages the`
	`1`	`+# This file is designed for fusion C++ forward operators, which manages the`
`2`	`2`	# generated code for static mode and dynamic mode (when `support_dygraph_mode` is true).
`3`	`3`	`# "support_dygraph_mode" is an extra configuration item in this file,`
`4`	`4`	`# if one operator have "support_dygraph_mode : true", it supports dygraph mode,`
Original file line number	Diff line number	Diff line change
`@@ -52,7 +52,7 @@ TEST_F(SelectedRowsTester, complete_dims) {`
`52`	`52`	`ASSERT_EQ(selected_rows_->GetCompleteDims(), common::make_ddim({10, 100}));`
`53`	`53`	`}`
`54`	`54`
`55`		`-TEST_F(SelectedRowsTester, SerializeAndDeseralize) {`
	`55`	`+TEST_F(SelectedRowsTester, SerializeAndDeserialize) {`
`56`	`56`	`phi::SelectedRows dst_tensor;`
`57`	`57`	`phi::CPUContext cpu_ctx(place_);`
`58`	`58`	`std::ostringstream oss;`