typo fix

mindspore/ops/op_info_register.py

@@ -68,7 +68,7 @@ class RegOp:
 
     Args:
         op_name (str): Name of op.
-        inputs (list): Inputs inoformation of the op.
+        inputs (list): Inputs information of the op.
         outputs (list): Outputs information of the op.
         attr_ (list): Attribute information of the op.
         dtype_format_ (list): Dtype and format information of the op.
@@ -142,7 +142,7 @@ class RegOp:
         Raises:
             TypeError: If the type of value is not list.
             ValueError: If the size of param list is not equal to the size of key list, or
-                        the size of param list is not equal to the size of funtion list.
+                        the size of param list is not equal to the size of function list.
         """
         for i in [param_list, key_list, fn_list]:
             if not isinstance(i, list):
@@ -459,7 +459,7 @@ class TBERegOp(RegOp):
 
     def op_pattern(self, pattern=None):
         """
-        The behavior type of opeator, such as broadcast, reduce and so on.
+        The behavior type of operator, such as broadcast, reduce and so on.
 
         Args:
             pattern (str): Value of op pattern.

mindspore/ops/primitive.py

@@ -176,7 +176,7 @@ class Primitive(Primitive_):
 
         Returns:
             A tuple consisting of two elements. The first element indicates whether we should filter out current
-            arguments; the seconde element is the output if we need to filter out the arguments.
+            arguments; the second element is the output if we need to filter out the arguments.
         """
         return (False, None)
 

mindspore/parallel/_cost_model_context.py

@@ -423,7 +423,7 @@ class _CostModelContext:
         Set costmodel allreduce fusion allreduce bandwidth.
 
         Args:
-            allreduce_bandwidth (int): The bancwidth of AllReduce.
+            allreduce_bandwidth (int): The bandwidth of AllReduce.
 
         Raises:
             ValueError: If context handle is none.

mindspore/profiler/profiling.py

@@ -319,7 +319,7 @@ class Profiler:
             # whether keep the first step
             skip_first_step_flag = framework_parser.check_op_name(INIT_OP_NAME)
             point_info = framework_parser.point_info
-            # recognize inference or traning mode
+            # recognize inference or training mode
             is_traning_mode_flag = framework_parser.check_op_name("Gradients")
             # parser the step trace files and save the result to disk
             source_path = validate_and_normalize_path(source_path)

mindspore/train/summary/_summary_adapter.py

@@ -426,7 +426,7 @@ def _convert_image_format(np_tensor, input_format, out_format='HWC'):
 
 def _make_canvas_for_imgs(tensor, col_imgs=8):
     """
-    Expand the N, show imgs on a canvs.
+    Expand the N, show imgs on a canvas.
 
     Args:
         tensor (Tensor): The canvas value.