[CodeStyle][Typos] Bump typos to v3.19.0 (PaddlePaddle#76423)

Author: ooooo-create

.pre-commit-config.yaml

@@ -54,7 +54,7 @@ repos:
             paddle/cinn/utils/registry.h
           )$
   - repo: https://github.com/PFCCLab/typos-pre-commit-mirror.git
-    rev: v1.36.2
+    rev: v1.39.2
     hooks:
       - id: typos
         args: [--force-exclude]

_typos.toml

@@ -4,9 +4,6 @@ extend-exclude = [
     "third_party",
     "patches",
     "build",
-    # Skip `intermidiate` check in these files
-    "test/cpp/eager/task_tests/CMakeLists.txt",
-    "test/cpp/eager/task_tests/hook_test_intermidiate.cc",
     # Skip `creater` check in these files
     "paddle/fluid/inference/tensorrt/convert/CMakeLists.txt",
     "paddle/fluid/inference/tensorrt/convert/generic_and_custom_plugin_creater.cc",
@@ -52,3 +49,13 @@ UNEXPECT = 'UNEXPECT'
 tood = 'tood'
 unpacket = "unpacket"
 vaccum = 'vaccum'
+
+# need to fix
+Detecter = 'Detecter'
+dismatch = 'dismatch'
+distributer = 'distributer'
+duoble = 'duoble'
+Grap = 'Grap'
+Simplied = 'Simplied'
+precess = 'precess'
+sittin = 'sittin'

paddle/fluid/distributed/collective/deep_ep_xpu/deep_ep.cpp

@@ -140,7 +140,7 @@ Buffer::Buffer(int rank,
 
   // Create 32 MiB workspace
   // Note(ZKK):  here we allocate more(2 * M2N_NUM_WORKSPACE) to support M2N!
-  // Later we will opitimize here!
+  // Later we will optimize here!
   CUDA_CHECK(
       cudaMalloc(&workspace, 2 * M2N_NUM_WORKSPACE * NUM_WORKSPACE_BYTES));
   CUDA_CHECK(cudaMemsetAsync(

paddle/phi/kernels/funcs/select_impl.cu.h

@@ -449,7 +449,7 @@ void SelectKernel(const KPDevice &dev_ctx,
   IntArray dims_array(dims_vec);
   DenseTensor count_mem = phi::Empty<CT, KPDevice>(dev_ctx, dims_array);
   CT *count_data = count_mem.data<CT>();
-  // 1.3 launch CountKernl
+  // 1.3 launch CountKernel
   switch (kVecSize) {
     CALL_GET_BLOCK_COUNT_KERNEL(4)
     CALL_GET_BLOCK_COUNT_KERNEL(2)
@@ -562,7 +562,7 @@ void RestrictSelectKernel(const KPDevice &dev_ctx,
   IntArray dims_array(dims_vec);
   DenseTensor count_mem = phi::Empty<CT, KPDevice>(dev_ctx, dims_array);
   CT *count_data = count_mem.data<CT>();
-  // 1.3 launch CountKernl
+  // 1.3 launch CountKernel
   GetBlockCountKernel<MT, CT, kVecSize>
       <<<grid, block, 0, stream>>>(cond_data, count_data, numel, main_offset);
   // 2.1 alloc cumsum data for CoutBlock prefix

paddle/phi/kernels/fusion/xpu/sequance_unpad_xpu_kernel.cc renamed to paddle/phi/kernels/fusion/xpu/sequence_unpad_xpu_kernel.cc

@@ -917,12 +917,12 @@ def _pir_clip(self, params_grads):
         no_fusion_sum_square_fp16 = []
         no_fusion_sum_square_fp32 = []
 
-        # fusion grad need to commnuicate in dp&mp
+        # fusion grad need to communicate in dp&mp
         sum_square_dist = []
         sum_square_dist_fp16 = []
         sum_square_dist_fp32 = []
 
-        # fusion grad only need to commnuicate in dp
+        # fusion grad only need to communicate in dp
         sum_square_not_dist = []
         sum_square_not_dist_fp16 = []
         sum_square_not_dist_fp32 = []

python/paddle/nn/clip.py

@@ -206,7 +206,7 @@ def forward(self, inputs):
         out_shape = in_shape * self.scale
         out_shape.stop_gradient = True
 
-        # reisze by actual_shape
+        # resize by actual_shape
         out = paddle.nn.functional.interpolate(
             x=inputs, size=out_shape, mode='nearest'
         )