From 9fd4198b587db8297d7defa0666a445e02426f4c Mon Sep 17 00:00:00 2001
From: z00478463 <zhangzhongpeng1@huawei.com>
Date: Wed, 27 May 2020 15:41:36 +0800
Subject: [PATCH] for modification of comments

---
 mindspore/ops/operations/__init__.py |  1 -
 mindspore/ops/operations/thor_ops.py | 13 +------------
 2 files changed, 1 insertion(+), 13 deletions(-)

diff --git a/mindspore/ops/operations/__init__.py b/mindspore/ops/operations/__init__.py
index 379fd5bca5f..c6c5f3be228 100644
--- a/mindspore/ops/operations/__init__.py
+++ b/mindspore/ops/operations/__init__.py
@@ -269,6 +269,5 @@ __all__ = [
     "SquareSumAll"
 ]
 
-__all__.extend(thor_ops.__all__)
 __all__.extend(_quant_ops.__all__)
 __all__.sort()
diff --git a/mindspore/ops/operations/thor_ops.py b/mindspore/ops/operations/thor_ops.py
index 54d097b0c95..9d99ae22f01 100644
--- a/mindspore/ops/operations/thor_ops.py
+++ b/mindspore/ops/operations/thor_ops.py
@@ -33,14 +33,13 @@ __all__ = ["CusBatchMatMul",
 
 
 class CusBatchMatMul(PrimitiveWithInfer):
-    """CusBatchMatMul definition"""
     """
     Multiplies matrix `a` by matrix `b` in batch.
 
     The rank of input tensors must be `3`.
 
     Inputs:
-        - **input_x** (Tensor) - The first tensor to be multiplied. The shape of the tensor is :math:`(N, D, D)`. If
+        - **input_x** (Tensor) - The first tensor to be multiplied. The shape of the tensor is :math:`(N, D, D)`.
         - **input_y** (Tensor) - The second tensor to be multiplied. The shape of the tensor is :math:`(N, D, D)`. If
           `transpose_b` is True.
 
@@ -73,7 +72,6 @@ class CusBatchMatMul(PrimitiveWithInfer):
 
 
 class CusCholeskyTrsm(PrimitiveWithInfer):
-    """CusCholeskyTrsm definition"""
     """
     L * LT = A.
     LT * (LT)^-1 = I.
@@ -112,7 +110,6 @@ class CusCholeskyTrsm(PrimitiveWithInfer):
 
 
 class CusFusedAbsMax1(PrimitiveWithInfer):
-    """CusFusedAbsMax1 definition"""
     """
     Compute the abs max of Tensor input.
 
@@ -154,7 +151,6 @@ class CusFusedAbsMax1(PrimitiveWithInfer):
 
 
 class CusImg2Col(PrimitiveWithInfer):
-    """CusImg2Col definition"""
     """
     Img2col the feature map and the result in reorganized in NC1HWC0.
 
@@ -203,7 +199,6 @@ class CusImg2Col(PrimitiveWithInfer):
 
 
 class CusMatMulCubeDenseLeft(PrimitiveWithInfer):
-    """CusMatMulCube definition"""
     """
     Multiplies matrix `a` by matrix `b`.
 
@@ -242,7 +237,6 @@ class CusMatMulCubeDenseLeft(PrimitiveWithInfer):
 
 
 class CusMatMulCubeFraczRightMul(PrimitiveWithInfer):
-    """CusMatMulCubeFraczRightMul definition"""
     """
     Multiplies matrix `a` by matrix `b` and muls the result by scalar `c`.
 
@@ -283,7 +277,6 @@ class CusMatMulCubeFraczRightMul(PrimitiveWithInfer):
 
 
 class CusMatMulCube(PrimitiveWithInfer):
-    """CusMatMulCube definition"""
     """
     Multiplies matrix `a` by matrix `b`.
 
@@ -342,7 +335,6 @@ class CusMatMulCube(PrimitiveWithInfer):
 
 
 class CusMatrixCombine(PrimitiveWithInfer):
-    """CusMatrixCombine definition"""
     """
     move the batch matrix to result matrix diag part.
     The rank of input tensors must be `3`.
@@ -381,7 +373,6 @@ class CusMatrixCombine(PrimitiveWithInfer):
 
 
 class CusTranspose02314(PrimitiveWithInfer):
-    """CusTranspose02314 definition"""
     """
     Permute input tensor with perm (0, 2, 3, 1, 4)
 
@@ -423,7 +414,6 @@ class CusTranspose02314(PrimitiveWithInfer):
 
 
 class CusMatMulCubeDenseRight(PrimitiveWithInfer):
-    """CusMatMulCubeDenseRight definition"""
     """
     Multiplies matrix `a` by matrix `b`.
 
@@ -464,7 +454,6 @@ class CusMatMulCubeDenseRight(PrimitiveWithInfer):
 
 
 class CusMatMulCubeFraczLeftCast(PrimitiveWithInfer):
-    """CusMatMulCubeFraczLeftCast definition"""
     """
     Multiplies matrix `a` by matrix `b`.