[clang-tidy] NO.7 enable cppcoreguidelines-avoid-c-arrays

.clang-tidy

@@ -151,7 +151,7 @@ bugprone-unused-raii,
 -clang-analyzer-valist.Uninitialized,
 -clang-analyzer-valist.Unterminated,
 -clang-analyzer-valist.ValistBase,
--cppcoreguidelines-avoid-c-arrays,
+cppcoreguidelines-avoid-c-arrays,
 -cppcoreguidelines-avoid-goto,
 -cppcoreguidelines-c-copy-assignment-signature,
 -cppcoreguidelines-explicit-virtual-functions,

paddle/fluid/operators/controlflow/conditional_block_op.cc

@@ -30,12 +30,12 @@ PHI_DECLARE_bool(use_mkldnn);
 namespace paddle {
 namespace operators {
 
-const char ConditionalOp::kInputs[] = "Input";    // NOLINT
-const char ConditionalOp::kOutputs[] = "Out";     // NOLINT
-const char ConditionalOp::kCondition[] = "Cond";  // NOLINT
-const char ConditionalOp::kScope[] = "Scope";     // NOLINT
-const char ConditionalOp::kSkipEagerDeletionVars[] =
-    "skip_eager_deletion_vars";  // NOLINT
+const char ConditionalOp::kInputs[] = "Input";        // NOLINT
+const char ConditionalOp::kOutputs[] = "Out";         // NOLINT
+const char ConditionalOp::kCondition[] = "Cond";      // NOLINT
+const char ConditionalOp::kScope[] = "Scope";         // NOLINT
+const char ConditionalOp::kSkipEagerDeletionVars[] =  // NOLINT
+    "skip_eager_deletion_vars";
 
 using Executor = framework::Executor;
 using ExecutorPrepareContext = framework::ExecutorPrepareContext;

paddle/fluid/operators/recurrent_op.cc

@@ -41,14 +41,14 @@ const char RecurrentBase::kStates[] = "states";                 // NOLINT
 const char RecurrentBase::kStepBlock[] = "sub_block";           // NOLINT
 const char RecurrentBase::kReverse[] = "reverse";               // NOLINT
 const char RecurrentBase::kIsTrain[] = "is_train";              // NOLINT
-const char RecurrentBase::kSkipEagerDeletionVars[] =
-    "skip_eager_deletion_vars";  // NOLINT
+const char RecurrentBase::kSkipEagerDeletionVars[] =            // NOLINT
+    "skip_eager_deletion_vars";
 #define GRAD_SUFFIX "@GRAD"
 const char RecurrentBase::kInputGrads[] = "inputs" GRAD_SUFFIX;      // NOLINT
 const char RecurrentBase::kOutputGrads[] = "outputs" GRAD_SUFFIX;    // NOLINT
 const char RecurrentBase::kParamGrads[] = "parameters" GRAD_SUFFIX;  // NOLINT
-const char RecurrentBase::kInitStateGrads[] =
-    "initial_states" GRAD_SUFFIX;  // NOLINT
+const char RecurrentBase::kInitStateGrads[] =                        // NOLINT
+    "initial_states" GRAD_SUFFIX;
 
 static void ClearStepScopes(const platform::DeviceContext &dev_ctx,
                             framework::Scope *parent_scope,

paddle/fluid/pybind/eager.cc

@@ -701,7 +701,7 @@ void AutoInitStringTensorByStringTensor(
   InitStringTensorWithStringTensor(py_tensor_ptr, src_tensor, place, act_name);
 }
 
-PyDoc_STRVAR(
+PyDoc_STRVAR(  // NOLINT
     TensorDoc,
     R"DOC(Tensor($self, /, value, place, persistable, zero_copy, name, stop_gradient, dims, dtype, type)
 --

paddle/fluid/pybind/eager_functions.cc

@@ -1273,7 +1273,7 @@ static PyObject* eager_api_set_master_grads(PyObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyMethodDef variable_functions[] = {
+PyMethodDef variable_functions[] = {  // NOLINT
     // TODO(jiabin): Remove scale when we have final state tests
     {"scale",
      (PyCFunction)(void (*)())eager_api_scale,

paddle/fluid/pybind/eager_math_op_patch.cc

@@ -1833,7 +1833,7 @@ static PyObject* tensor__eq__method(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyMethodDef math_op_patch_methods[] = {
+PyMethodDef math_op_patch_methods[] = {  // NOLINT
     {"__add__",
      (PyCFunction)(void (*)())tensor__add__method,
      METH_VARARGS | METH_KEYWORDS,

paddle/fluid/pybind/eager_method.cc

@@ -101,7 +101,8 @@ Py_ssize_t GetSliceIndexFromPyObject(PyObject* obj) {
   }
 }
 
-PyDoc_STRVAR(tensor_method_numpy__doc__, R"DOC(numpy($self, /)
+PyDoc_STRVAR(tensor_method_numpy__doc__,  // NOLINT
+             R"DOC(numpy($self, /)
 --
 
 Returns a numpy array shows the value of current Tensor.
@@ -128,8 +129,8 @@ static PyObject* tensor_method_numpy(TensorObject* self,
   EAGER_TRY
   auto& api = pybind11::detail::npy_api::get();
   if (!self->tensor.impl()) {
-    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];
-    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];
+    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];     // NOLINT
+    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];  // NOLINT
     py_dims[0] = 0;
     py_strides[0] = 0;
 
@@ -148,8 +149,8 @@ static PyObject* tensor_method_numpy(TensorObject* self,
   auto tensor_dims = self->tensor.shape();
   auto numpy_dtype = TensorDtype2NumpyDtype(self->tensor.type());
   auto sizeof_dtype = phi::SizeOf(self->tensor.type());
-  Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];
-  Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];
+  Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];     // NOLINT
+  Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];  // NOLINT
   size_t py_rank = tensor_dims.size();
   size_t numel = 1;
   if (py_rank == 0) {
@@ -417,8 +418,8 @@ static PyObject* tensor_method_numpy_for_string_tensor(TensorObject* self,
   if (!self->tensor.impl() || !self->tensor.impl()->initialized()) {
     VLOG(6) << "The StringTensor is uninitialized. Return the empty string "
                "numpy array.";
-    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];
-    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];
+    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];     // NOLINT
+    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];  // NOLINT
     py_dims[0] = 0;
     py_strides[0] = 0;
 
@@ -595,7 +596,8 @@ static PyObject* tensor_method_copy_(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_method_clone__doc__, R"DOC(clone($self, /)
+PyDoc_STRVAR(tensor_method_clone__doc__,  // NOLINT
+             R"DOC(clone($self, /)
 --
 
 Returns a new Tensor, which is clone of origin Tensor, and it remains in the current graph.
@@ -670,7 +672,7 @@ static PyObject* tensor_retain_grads(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_clear_gradient__doc__,
+PyDoc_STRVAR(tensor_clear_gradient__doc__,  // NOLINT
              R"DOC(clear_gradient($self, set_to_zero=True, /)
 --
 
@@ -893,7 +895,8 @@ static PyObject* tensor__is_shared_underline_tensor_with(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_method_detach__doc__, R"DOC(detach($self, /)
+PyDoc_STRVAR(tensor_method_detach__doc__,  // NOLINT
+             R"DOC(detach($self, /)
 --
 
 Returns a new Tensor, detached from the current graph.
@@ -1289,8 +1292,8 @@ static PyObject* tensor__getitem_from_offset(TensorObject* self,
   if (tensor.dtype() == proto_type) {                                        \
     auto numpy_dtype = TensorDtype2NumpyDtype(proto_type);                   \
     T b = paddle::pybind::TensorGetElement<T>(tensor, offset);               \
-    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];                  \
-    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank];               \
+    Py_intptr_t py_dims[paddle::framework::DDim::kMaxRank];    /* NOLINT */  \
+    Py_intptr_t py_strides[paddle::framework::DDim::kMaxRank]; /* NOLINT */  \
     auto& api = pybind11::detail::npy_api::get();                            \
     PyObject* array = api.PyArray_NewFromDescr_(                             \
         api.PyArray_Type_,                                                   \
@@ -1636,7 +1639,7 @@ static PyObject* tensor_inplace_assign(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_method__register_reduce_hook__doc__,
+PyDoc_STRVAR(tensor_method__register_reduce_hook__doc__,  // NOLINT
              R"DOC(_register_backward_hook($self, hook, /)
 --
 
@@ -2025,7 +2028,8 @@ static PyObject* tensor__inplace_version(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_method_element_size__doc__, R"DOC(element_size($self, /)
+PyDoc_STRVAR(tensor_method_element_size__doc__,  // NOLINT
+             R"DOC(element_size($self, /)
 --
 
 Returns the size in bytes of an element in the Tensor.
@@ -2064,7 +2068,7 @@ static PyObject* tensor_method_element_size(TensorObject* self,
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_method__bump_inplace_version__doc__,
+PyDoc_STRVAR(tensor_method__bump_inplace_version__doc__,  // NOLINT
              R"DOC(_bump_inplace_version($self, /)
 --
 
@@ -2366,7 +2370,7 @@ static PyObject* tensor_method__is_string_tensor_hold_allocation(
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyMethodDef variable_methods[] = {
+PyMethodDef variable_methods[] = {  // NOLINT
     {"numpy",
      (PyCFunction)(void (*)())tensor_method_numpy,
      METH_VARARGS | METH_KEYWORDS,
@@ -2628,7 +2632,7 @@ PyMethodDef variable_methods[] = {
     {nullptr, nullptr, 0, nullptr}};
 
 // variable_methods for core.eager.StringTensor
-PyMethodDef string_tensor_variable_methods[] = {
+PyMethodDef string_tensor_variable_methods[] = {  // NOLINT
     {"numpy",
      (PyCFunction)(void (*)())tensor_method_numpy_for_string_tensor,
      METH_VARARGS | METH_KEYWORDS,

paddle/fluid/pybind/eager_properties.cc

@@ -74,7 +74,7 @@ PyObject* tensor_properties_get_type(TensorObject* self, void* closure) {
   EAGER_CATCH_AND_THROW_RETURN_NULL
 }
 
-PyDoc_STRVAR(tensor_is_leaf__doc__,
+PyDoc_STRVAR(tensor_is_leaf__doc__,  // NOLINT
              R"DOC(is_leaf
 
 Whether a Tensor is leaf Tensor.

paddle/fluid/pybind/ops_api.cc

@@ -40,7 +40,7 @@ static PyObject *divide(PyObject *self, PyObject *args, PyObject *kwargs) {
   return static_api_divide(self, args, kwargs);
 }
 
-static PyMethodDef OpsAPI[] = {{"add_n",
+static PyMethodDef OpsAPI[] = {{"add_n",  // NOLINT
                                 (PyCFunction)(void (*)(void))add_n,
                                 METH_VARARGS | METH_KEYWORDS,
                                 "C++ interface function for add_n."},

paddle/phi/backends/cpu/cpu_info.cc

@@ -152,12 +152,12 @@ bool MayIUse(const cpu_isa_t cpu_isa) {
 #if !defined(WITH_NV_JETSON) && !defined(PADDLE_WITH_ARM) &&  \
     !defined(PADDLE_WITH_SW) && !defined(PADDLE_WITH_MIPS) && \
     !defined(PADDLE_WITH_LOONGARCH)
-    int reg[4];
-    cpuid(reg, 0);
+    std::array<int, 4> reg;
+    cpuid(reg.data(), 0);
     int nIds = reg[0];
     if (nIds >= 0x00000001) {
       // EAX = 1
-      cpuid(reg, 0x00000001);
+      cpuid(reg.data(), 0x00000001);
       // AVX: ECX Bit 28
       if (cpu_isa == avx) {
         int avx_mask = (1 << 28);
@@ -166,7 +166,7 @@ bool MayIUse(const cpu_isa_t cpu_isa) {
     }
     if (nIds >= 0x00000007) {
       // EAX = 7
-      cpuid(reg, 0x00000007);
+      cpuid(reg.data(), 0x00000007);
       if (cpu_isa == avx2) {
         // AVX2: EBX Bit 5
         int avx2_mask = (1 << 5);
@@ -184,7 +184,7 @@ bool MayIUse(const cpu_isa_t cpu_isa) {
                 (reg[1] & avx512bw_mask) && (reg[1] & avx512vl_mask));
       }
       // EAX = 7, ECX = 1
-      cpuid(reg, 0x00010007);
+      cpuid(reg.data(), 0x00010007);
       if (cpu_isa == avx512_bf16) {
         // AVX512BF16: EAX Bit 5
         int avx512bf16_mask = (1 << 5);

paddle/phi/kernels/funcs/strided_reshape_utils.cc

@@ -13,6 +13,7 @@
 // limitations under the License.
 
 #include "paddle/phi/kernels/funcs/strided_reshape_utils.h"
+#include <array>
 #include "paddle/phi/core/kernel_registry.h"
 #include "paddle/phi/kernels/reshape_kernel.h"
 
@@ -24,10 +25,10 @@ bool ReshapeStride(const DDim& old_dims,
                    DDim& new_stride) {  // NOLINT
   int64_t numel = product(old_dims);
   if (numel < 0) {
-    int64_t tmp[2];
+    std::array<int64_t, 2> tmp;
     tmp[0] = 1;
     tmp[1] = new_dims.size();
-    new_stride = DDim(tmp, 2);
+    new_stride = DDim(tmp.data(), 2);
     return true;
   } else if (numel == 0) {
     if (old_dims == new_dims) {

test/cpp/phi/api/test_strings_lower_upper_api.cc

@@ -53,8 +53,11 @@ TEST(API, case_convert) {
     cpu_strings_x_data[i] = strs[i];
   }
   // 2. get expected results
-  std::string expected_results[] = {
-      strs[0], strs[0], strs[1], strs[1]};  // NOLINT
+  std::string expected_results[] = {// NOLINT
+                                    strs[0],
+                                    strs[0],
+                                    strs[1],
+                                    strs[1]};
   std::transform(
       strs[0].begin(), strs[0].end(), expected_results[0].begin(), ::tolower);
   std::transform(
@@ -103,8 +106,8 @@ TEST(API, case_convert_utf8) {
 
   pstring* cpu_strings_x_data =
       dev_ctx->template Alloc<pstring>(cpu_strings_x.get());
-  std::string strs[] = {"óÓsscHloëË",
-                        "óÓsscHloëËóÓsscHloëËóÓsscHloëË"};  // NOLINT
+  std::string strs[] = {"óÓsscHloëË",  // NOLINT
+                        "óÓsscHloëËóÓsscHloëËóÓsscHloëË"};
   for (int i = 0; i < 2; ++i) {
     cpu_strings_x_data[i] = strs[i];
   }

test/cpp/phi/kernels/test_strings_lower_upper_dev_api.cc

@@ -56,8 +56,11 @@ TEST(DEV_API, strings_cast_convert) {
   dense_x_data[1] = long_str;
 
   // 2. get expected results
-  std::string expected_results[] = {
-      short_str, short_str, long_str, long_str};  // NOLINT
+  std::string expected_results[] = {// NOLINT
+                                    short_str,
+                                    short_str,
+                                    long_str,
+                                    long_str};
   std::transform(short_str.begin(),
                  short_str.end(),
                  expected_results[0].begin(),