[fix] fix typo (#1222)

* [fix] fix typo

* [fix] fix typo

tools/align_tool/align_with_onnx.py

@@ -133,7 +133,7 @@ class AlignOnnx():
         save results of onnx
         :param outputs: list of outputs name
         :param result: onnx inference result
-        :param const_name: onnx const name that shuold not contain in output node
+        :param const_name: onnx const name that should not contain in output node
         :return:
         """
         check_make_folder(self.export_path)
@@ -150,7 +150,7 @@ class AlignOnnx():
 
     def _write_data(self, text_path, data):
         """
-        too dificult to write, I don't want to do this again.  :(
+        too difficult to write, I don't want to do this again.  :(
         If anyone has better way to realizing, pls tell me or PR.
         """
         shape_str = '{' + ' '.join([str(i) for i in data.shape]) + '}'
@@ -280,7 +280,7 @@ class AlignOnnx():
                         try:
                             sf_ndarray = result[outputs.index(name[0])]
                         except:
-                            print(f"load onnx output fiaeld {name}")
+                            print(f"load onnx output failed {name}")
                             return
 
                         # calculate distance
@@ -327,7 +327,7 @@ def main():
     print("is save result        : %s" % (args.s))
     print("save text path        : %s" % (args.sp))
     print("is align by layer     : %s" % (args.a))
-    print("tengine ouput path    : %s" % (args.to))
+    print("tengine output path   : %s" % (args.to))
     print("tengine model         : %s" % (args.tm))
 
     align = AlignOnnx(args.m, args.s, args.sp, args.a, args.to, args.tm)

tools/align_tool/readme.md

@@ -44,7 +44,7 @@ input onnx model      : mnist_sim.onnx
 is save result        : True
 save text path        : ./output_onnx
 is align by layer     : True
-tengine ouput path    : None
+tengine output path   : None
 tengine model         : mnist.tmfile
 onnx inference over
 -------------------------------------------------

tools/convert_tool/caffe/caffe2tengine.cpp

@@ -1369,5 +1369,5 @@ void caffe_serializer::register_op_load()
     op_load_map["Reduction"] = std::pair<int, op_load_t>(OP_REDUCTION, load_reduction);
 }
 /*
-*   OPERAOTR REGISTER FUNCTION DEFINE FOR CAFFE SERIALIZER END
+*   OPERATOR REGISTER FUNCTION DEFINE FOR CAFFE SERIALIZER END
 */

tools/convert_tool/ncnn/ncnn2tengine.cpp

@@ -1502,5 +1502,5 @@ void ncnn_serializer::register_op_load()
     op_load_map["DeconvolutionDepthWise"] = std::pair<int, op_load_t>(OP_DECONV, load_deconv);
 }
 /*
-*   OPERAOTR REGISTER FUNCTION DEFINE FOR NCNN SERIALIZER END
+*   OPERATOR REGISTER FUNCTION DEFINE FOR NCNN SERIALIZER END
 */

tools/convert_tool/onnx/onnx2tengine.cpp

@@ -2306,5 +2306,5 @@ void onnx_serializer::register_op_load()
     op_load_map["Gelu"] = std::pair<int, op_load_t>(OP_GELU, load_no_param);
 }
 /*
-*   OPERAOTR REGISTER FUNCTION DEFINE FOR ONNX SERIALIZER END
+*   OPERATOR REGISTER FUNCTION DEFINE FOR ONNX SERIALIZER END
 */

tools/quantize/quant_save_graph.cpp

@@ -784,7 +784,7 @@ int save_graph_u8_perchannel(const char* model_file, const char* scale_file, con
 
     fprintf(stderr, "[Quant Tools Info]: Step 4, quantize activation tensor done.\n");
 
-    /* Set the params of acitvation ir_tensor */
+    /* Set the params of activation ir_tensor */
     for (int i = 0; i < ir_graph->tensor_num; i++)
     {
         struct tensor* ir_tensor = ir_graph->tensor_list[i];