for pylint 2nd

example/resnet50_imagenet2012_THOR/cus_ops/batch_matmul_impl.py

@@ -71,5 +71,5 @@ from mindspore.ops.op_info_register import op_info_register
     ]
 }""")
 def CusBatchMatMul(input_x1, input_x2, output, transpose_a=False, transpose_b=True, kernel_name="batchmatmul"):
-"""CusBatchMatMul"""
+    """CusBatchMatMul"""
     return

example/resnet50_imagenet2012_THOR/cus_ops/cholesky_trsm.py

@@ -59,5 +59,5 @@ from mindspore.ops.op_info_register import op_info_register
    ]
 }""")
 def CusCholeskyTrsm(input_x, output, kernel_name):
-"""CusCholeskyTrsm"""
+    """CusCholeskyTrsm"""
     return

example/resnet50_imagenet2012_THOR/cus_ops/cus_batch_matmul.py

@@ -35,4 +35,3 @@ class CusBatchMatMul(PrimitiveWithInfer):
 
     def infer_dtype(self, data1_dtype, data2_dtype):
         return data1_dtype
-

example/resnet50_imagenet2012_THOR/cus_ops/cus_cholesky_trsm.py

@@ -35,4 +35,3 @@ class CusCholeskyTrsm(PrimitiveWithInfer):
 
     def infer_dtype(self, data1_dtype):
         return data1_dtype
-

example/resnet50_imagenet2012_THOR/cus_ops/cus_fused_abs_max1.py

@@ -42,4 +42,3 @@ class CusFusedAbsMax1(PrimitiveWithInfer):
 
     def infer_dtype(self, data1_dtype):
         return data1_dtype
-

example/resnet50_imagenet2012_THOR/cus_ops/cus_img2col.py

@@ -49,4 +49,3 @@ class CusImg2Col(PrimitiveWithInfer):
 
     def infer_dtype(self, data1_dtype):
         return data1_dtype
-

example/resnet50_imagenet2012_THOR/cus_ops/cus_matmul_cube.py

@@ -52,4 +52,3 @@ class CusMatMulCube(PrimitiveWithInfer):
 
     def infer_dtype(self, data1_dtype, data2_dtype):
         return ms.common.dtype.tensor_type(getattr(ms, "float32"))
-