fix typos determined

paddle/fluid/framework/ir/constant_folding_pass.cc

@@ -39,7 +39,6 @@ class Node;
  * When a op's inputs and outputs is determined before feeding data to the
  * model, we can remove this op from the model. This ConstantFolding pass can
  * remove all these like ops.
- *
  */
 
 namespace paddle {

paddle/fluid/framework/ir/conv2d_trans_filter_dilations_nxn_to_1x1_pass.cc

@@ -180,8 +180,7 @@ void Conv2dTransFilterDilationsNxNTo1x1Pass::conv2d_dilation_trans(
           graph, "has_quant_info", "var_quant_scales", new_weights_scale);
     } else {
       VLOG(3) << "Transfilter only support float32/float16/int8 dtype of "
-                 "weights -- do "
-                 "nothing and break.";
+                 "weights -- do nothing and break.";
       return;
     }
 

paddle/fluid/pir/transforms/general/transfer_layout_pass.cc

@@ -386,7 +386,7 @@ struct FlowGraph {
     // Since VarDesc doesn't store layout, in pir we set all layout to
     // NCHW after translation. However, we need the real layout to decide
     // if we need to alter the operation and value. Here we start from the
-    // operation who have a dertermined layout and spread its layout to
+    // operation who have a determined layout and spread its layout to
     // its output and inputs recursively.
     std::queue<Node> q;
     for (auto& n : mutable_nodes) {

paddle/fluid/pybind/args_mapper.cc

@@ -34,7 +34,7 @@ void ArgMaxMinMapper(PyObject* args,
                      bool* keepdims,
                      bool* flatten,
                      phi::DataType* dtype) {
-  // The python params are (x, axis,keepdim,dtype,name) which  haven't flatten
+  // The python params are (x, axis,keepdim,dtype,name) which haven't flatten
   // The _C_ops params are (x, axis,keepdim,flatten,dtype) which have flatten
   // but haven't name We should parse the python params and convert them to the
   // _C_ops params

paddle/fluid/pybind/imperative.cc

@@ -753,7 +753,7 @@ void BindImperative(py::module *m_ptr) {
              // c++
              // STL and python set/list/dict involve a copy operation that
              // prevents pass-by-reference semantics, so it is ok to swap.
-             // The reaseon why not directly pass
+             // The reason why not directly pass
              // std::shared_ptr<std::unordered_set<std::string>>
              // is that pybind11 forbid shared_ptr<T> where T is not custom
              // type.

test/ipu/test_warpctc_op_ipu.py

@@ -30,7 +30,7 @@ def setUp(self):
         self.set_op_attrs()
 
     def set_training(self):
-        # ctcloss only support training currently.
+        # ctc_loss only support training currently.
         self.is_training = True
         self.epoch = 1
 

test/legacy_test/test_warpctc_op.py

@@ -681,7 +681,7 @@ def test_class_api(self):
 
         np.testing.assert_allclose(loss_pd, loss_np, rtol=1e-05, atol=1)
 
-    def test_eager_ctcloss(self):
+    def test_eager_ctc_loss(self):
         def test_functional_api():
             self.batch_size = 4
             self.num_classes = CUDA_BLOCK_SIZE + 2