[CodeStyle][Typos] Bump typos version to v1.34.0 (#74136)

Author: ooooo-create

.pre-commit-config.yaml

@@ -50,7 +50,7 @@ repos:
  paddle/cinn/utils/registry.h
  )$
  - repo: https://github.com/PFCCLab/typos-pre-commit-mirror.git
- rev: v1.33.1
+ rev: v1.34.0
  hooks:
  - id: typos
  args: [--force-exclude]

_typos.toml

@@ -44,6 +44,7 @@ operants = 'operants'
 Optin = 'Optin'
 padd = 'padd'
 pash = 'pash'
+setp = 'setp'
 splited = 'splited'
 splitted = 'splitted'
 statis = 'statis'

paddle/fluid/inference/tensorrt/convert/elementwise_op.cc

@@ -80,8 +80,8 @@ class ElementwiseTensorOpConverter : public OpConverter {
  reshape_layer->setInput(1, *new_y_shape_tensor);
  reshape_y_tensor = reshape_layer->getOutput(0);
  } else {
- // In fact , we can remove this `else`, but -> rt_resnet50_test CI in trt
- // 6015 faling, how ridiculous！
+ // In fact, we can remove this `else`, but -> rt_resnet50_test CI in trt
+ // 6015 failing, how ridiculous！
  reshape_y_tensor = Y;
  }
 

paddle/fluid/pir/serialize_deserialize/include/interface.h

@@ -51,7 +51,7 @@ void IR_API WriteModule(const pir::Program& program,
  * @param[in] file_path The path to the file from which the PIR program
  * should be read.
  * @param[out] program A pointer to the PIR program object where the
- * deserilize program will be stored.
+ * deserialize program will be stored.
  * @param[in] pir_version The current version of the PIR program format.
  *
  * @return bool. The function modifies the 'program' object to contain the data

paddle/phi/infermeta/unary.cc

@@ -4811,7 +4811,7 @@ void SplitWithNumInferMeta(const MetaTensor& x,
  for (int i = 0; i < num; ++i) {
  sections_vec.push_back(input_axis_dim / num);
  }
- // setp2: fill out dims
+ // step2: fill out dims
  FillSplitOutDims(x, axis_value, sections_vec, &out);
  }
 }

paddle/phi/kernels/funcs/elementwise_functor.h

@@ -703,8 +703,8 @@ struct RemainderFunctor {
  PADDLE_ENFORCE(b != 0, DIV_ERROR_INFO);
  T res = a % b;
 
- // According to #PR26732: in dividen % divsor
- // remainder shall have the same sign as divsor.
+ // According to #PR26732: in dividend % divisor
+ // remainder shall have the same sign as divisor.
  if ((res != 0) && ((b ^ res) < 0)) res += b;
  return res;
  }
@@ -717,8 +717,8 @@ struct RemainderFunctor<
  inline HOSTDEVICE T operator()(const T a, const T b) const {
  T res = fmod(a, b);
 
- // According to #PR26732: in dividen % divsor
- // remainder shall have the same sign as divsor.
+ // According to #PR26732: in dividend % divisor
+ // remainder shall have the same sign as divisor.
  if ((res != 0) && ((res < 0) != (b < 0))) res += b;
  return res;
  }
@@ -730,8 +730,8 @@ struct RemainderFunctor<dtype::float16> {
  const dtype::float16 b) const {
  float b_float = static_cast<float>(b);
  float res = fmod(static_cast<float>(a), b_float);
- // According to #PR26732: in dividen % divsor
- // remainder shall have the same sign as divsor.
+ // According to #PR26732: in dividend % divisor
+ // remainder shall have the same sign as divisor.
  if ((res != 0.0f) && ((res < 0.0f) != (b_float < 0.0f))) res += b_float;
  return static_cast<dtype::float16>(res);
  }
@@ -744,8 +744,8 @@ struct RemainderFunctor<dtype::bfloat16> {
  float b_float = static_cast<float>(b);
  float res = fmod(static_cast<float>(a), b_float);
 
- // According to #PR26732: in dividen % divsor
- // remainder shall have the same sign as divsor.
+ // According to #PR26732: in dividend % divisor
+ // remainder shall have the same sign as divisor.
  if ((res != 0.0f) && ((res < 0.0f) != (b_float < 0.0f))) res += b_float;
  return static_cast<dtype::bfloat16>(res);
  }

paddle/phi/kernels/funcs/top_k_function_cuda.h

@@ -404,8 +404,8 @@ __device__ __forceinline__ void BlockReduce(Pair<T> shared_max[],
  * In a block:
  * 1. every thread get top MaxLength value;
  * 2. merge to sh_topk, block reduce and get max value;
- * 3. go to the second setp, until one thread's topk value is null;
- * 4. go to the first setp, until get the topk value.
+ * 3. go to the second step, until one thread's topk value is null;
+ * 4. go to the first step, until get the topk value.
  */
 
 template <typename T, int MaxLength, int BlockSize>

paddle/phi/kernels/sparse/cpu/slice_kernel.cc

@@ -270,7 +270,7 @@ void SliceCsrCompute(const Context& dev_ctx,
  funcs::ConstructNewSliceAttrs(
  x_dims, axes, starts, ends, &new_axes, &new_starts, &new_ends);
 
- // Setp3: Slice csr tensor according to its dimension
+ // Step3: Slice csr tensor according to its dimension
  if (x_dims.size() == 2) {
  SliceCsrTensor2D<T, Context>(
  dev_ctx, x, new_axes, new_starts, new_ends, out_dims, out);

paddle/phi/kernels/sparse/gpu/slice_kernel.cu

@@ -604,7 +604,7 @@ void SliceCsrCompute(const Context& dev_ctx,
  funcs::ConstructNewSliceAttrs(
  x_dims, axes, starts, ends, &new_axes, &new_starts, &new_ends);
 
- // Setp3: Slice csr tensor according to its dimension
+ // Step3: Slice csr tensor according to its dimension
  if (x_dims.size() == 2) {
  SliceCsrTensor2D<T, Context>(
  dev_ctx, x, new_axes, new_starts, new_ends, out_dims, out);

test/cpp/pir/core/program_translator_test.cc

@@ -163,8 +163,8 @@ TEST(OperatorDialectTest, StartupProgram) {
 
  size_t op_size = program->block()->size();
  // ops.size() = op size in BlockDesc + parameter_op +
- // consant_op_for_uniform
- // + consant_op for gaussian
+ // constant_op_for_uniform
+ // + constant_op for gaussian
  EXPECT_EQ(op_size, p.Block(0).OpSize() + program->parameters_num() + 3 + 53);
 
  std::stringstream ss;