From 9e1b390c41a613ab8213120540bef0967b3fedca Mon Sep 17 00:00:00 2001
From: wangshuide2020 <wangshuide@huawei.com>
Date: Wed, 15 Sep 2021 17:34:40 +0800
Subject: [PATCH] add calculation picture of ScatterNd and add CPU platform for
 LogSigmoid, DenseBnAct, FTRL, etc.

---
 .jenkins/OWNERS                        |   1 -
 OWNERS                                 |   1 -
 docs/api_img/ScatterNd.png             | Bin 0 -> 16115 bytes
 mindspore/nn/layer/activation.py       |   2 +-
 mindspore/nn/layer/combined.py         |   2 +-
 mindspore/nn/layer/conv.py             |   2 +-
 mindspore/nn/loss/loss.py              |   4 ++--
 mindspore/nn/optim/ftrl.py             |   2 +-
 mindspore/nn/optim/lamb.py             |   2 +-
 mindspore/ops/operations/array_ops.py  |  31 ++++++++++++++++++++++++-
 mindspore/ops/operations/nn_ops.py     |   2 +-
 mindspore/ops/operations/random_ops.py |   4 ++--
 tests/OWNERS                           |   1 -
 13 files changed, 40 insertions(+), 14 deletions(-)
 create mode 100644 docs/api_img/ScatterNd.png

diff --git a/.jenkins/OWNERS b/.jenkins/OWNERS
index 745ee57739c..060b42c5c1e 100644
--- a/.jenkins/OWNERS
+++ b/.jenkins/OWNERS
@@ -17,7 +17,6 @@ approvers:
 - john_tzanakakis
 - jpc_chenjianping
 - kingxian
-- leonwanghui
 - liangchenghui
 - lilongfei15
 - limingqi107
diff --git a/OWNERS b/OWNERS
index 9d40c249f76..85baeecd051 100644
--- a/OWNERS
+++ b/OWNERS
@@ -3,7 +3,6 @@ approvers:
 - guoqi1024
 - baochong
 - zhaizhiqiang
-- leonwanghui
 
 files:
   "akg":
diff --git a/docs/api_img/ScatterNd.png b/docs/api_img/ScatterNd.png
new file mode 100644
index 0000000000000000000000000000000000000000..fcd98f1e50842d8730cc70f75b4356ddbac061fc
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HcmV?d00001

diff --git a/mindspore/nn/layer/activation.py b/mindspore/nn/layer/activation.py
index ead70feaae2..0cf9f2389bd 100644
--- a/mindspore/nn/layer/activation.py
+++ b/mindspore/nn/layer/activation.py
@@ -734,7 +734,7 @@ class LogSigmoid(Cell):
         TypeError: If dtype of `x` is neither float16 nor float32.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> net = nn.LogSigmoid()
diff --git a/mindspore/nn/layer/combined.py b/mindspore/nn/layer/combined.py
index 72c9bcab299..a094900e2fd 100644
--- a/mindspore/nn/layer/combined.py
+++ b/mindspore/nn/layer/combined.py
@@ -187,7 +187,7 @@ class DenseBnAct(Cell):
         ValueError: If `momentum` is not in range [0, 1.0].
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> net = nn.DenseBnAct(3, 4)
diff --git a/mindspore/nn/layer/conv.py b/mindspore/nn/layer/conv.py
index 4fc2af16daa..642b57dd334 100644
--- a/mindspore/nn/layer/conv.py
+++ b/mindspore/nn/layer/conv.py
@@ -737,7 +737,7 @@ class Conv3dTranspose(_Conv):
         Tensor, the shape is :math:`(N, C_{out}, D_{out}, H_{out}, W_{out})`.
 
     Supported Platforms:
-        ``Ascend``
+        ``Ascend`` ``GPU``
 
     Raises:
         TypeError: If `in_channels`, `out_channels` or `group` is not an int.
diff --git a/mindspore/nn/loss/loss.py b/mindspore/nn/loss/loss.py
index 5ba76bf5dae..bc13d5e560b 100644
--- a/mindspore/nn/loss/loss.py
+++ b/mindspore/nn/loss/loss.py
@@ -699,7 +699,7 @@ class MultiClassDiceLoss(LossBase):
         ValueError: If `weights` is a tensor, but its dimension is not 2.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> loss = nn.MultiClassDiceLoss(weights=None, ignore_indiex=None, activation="softmax")
@@ -1095,7 +1095,7 @@ class CosineEmbeddingLoss(LossBase):
         ValueError: If `margin` is not in range [-1, 1].
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> logits_x1 = Tensor(np.array([[0.3, 0.8], [0.4, 0.3]]), mindspore.float32)
diff --git a/mindspore/nn/optim/ftrl.py b/mindspore/nn/optim/ftrl.py
index 61c472893b4..c531364f677 100644
--- a/mindspore/nn/optim/ftrl.py
+++ b/mindspore/nn/optim/ftrl.py
@@ -170,7 +170,7 @@ class FTRL(Optimizer):
         ValueError: If `initial_accum`, `l1` or `l2` is less than 0.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> net = Net()
diff --git a/mindspore/nn/optim/lamb.py b/mindspore/nn/optim/lamb.py
index c52e917d50b..1e63a75ed42 100755
--- a/mindspore/nn/optim/lamb.py
+++ b/mindspore/nn/optim/lamb.py
@@ -241,7 +241,7 @@ class Lamb(Optimizer):
         ValueError: If `weight_decay` is less than 0.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> net = Net()
diff --git a/mindspore/ops/operations/array_ops.py b/mindspore/ops/operations/array_ops.py
index 40b7f2582e6..a80c7d828e2 100755
--- a/mindspore/ops/operations/array_ops.py
+++ b/mindspore/ops/operations/array_ops.py
@@ -3475,6 +3475,11 @@ class ScatterNd(PrimitiveWithInfer):
 
     `updates` is a tensor of rank `Q-1+P-N`. Its shape is: :math:`(i_0, i_1, ..., i_{Q-2}, shape_N, ..., shape_{P-1})`.
 
+    The following figure shows the calculation process of inserting two slices in the first dimension of a rank-3
+    with two matrices of new values:
+
+    .. image:: api_img/ScatterNd.png
+
     Inputs:
         - **indices** (Tensor) - The index of scattering in the new tensor with int32 or int64 data type.
           The rank of indices must be at least 2 and `indices_shape[-1] <= len(shape)`.
@@ -3498,6 +3503,30 @@ class ScatterNd(PrimitiveWithInfer):
 
     Examples:
         >>> op = ops.ScatterNd()
+        >>> indices = Tensor(np.array([[0], [2]]), mindspore.int32)
+        >>> updates = Tensor(np.array([[[1, 1, 1, 1], [2, 2, 2, 2],
+        ...                             [3, 3, 3, 3], [4, 4, 4, 4]],
+        ...                            [[1, 1, 1, 1], [2, 2, 2, 2],
+        ...                             [3, 3, 3, 3], [4, 4, 4, 4]]]), mindspore.float32)
+        >>> shape = (4, 4, 4)
+        >>> output = op(indices, updates, shape)
+        >>> print(output)
+        [[[1. 1. 1. 1.]
+          [2. 2. 2. 2.]
+          [3. 3. 3. 3.]
+          [4. 4. 4. 4.]]
+         [[0. 0. 0. 0.]
+          [0. 0. 0. 0.]
+          [0. 0. 0. 0.]
+          [0. 0. 0. 0.]]
+         [[1. 1. 1. 1.]
+          [2. 2. 2. 2.]
+          [3. 3. 3. 3.]
+          [4. 4. 4. 4.]]
+         [[0. 0. 0. 0.]
+          [0. 0. 0. 0.]
+          [0. 0. 0. 0.]
+          [0. 0. 0. 0.]]]
         >>> indices = Tensor(np.array([[0, 1], [1, 1]]), mindspore.int32)
         >>> updates = Tensor(np.array([3.2, 1.1]), mindspore.float32)
         >>> shape = (3, 3)
@@ -5690,7 +5719,7 @@ class Sort(PrimitiveWithInfer):
         TypeError: If dtype of `x` is neither float16 nor float32.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.array([[8, 2, 1], [5, 9, 3], [4, 6, 7]]), mindspore.float16)
diff --git a/mindspore/ops/operations/nn_ops.py b/mindspore/ops/operations/nn_ops.py
index 00b57a1d3ae..d19d2b80aeb 100755
--- a/mindspore/ops/operations/nn_ops.py
+++ b/mindspore/ops/operations/nn_ops.py
@@ -8243,7 +8243,7 @@ class Conv3D(PrimitiveWithInfer):
         ValueError: If `data_format` is not 'NCDHW'.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> x = Tensor(np.ones([16, 3, 10, 32, 32]), mindspore.float16)
diff --git a/mindspore/ops/operations/random_ops.py b/mindspore/ops/operations/random_ops.py
index 16dd14c36ec..6fd90a7917e 100644
--- a/mindspore/ops/operations/random_ops.py
+++ b/mindspore/ops/operations/random_ops.py
@@ -301,7 +301,7 @@ class UniformInt(PrimitiveWithInfer):
         Tensor. The shape is the same as the input 'shape', and the data type is int32.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> shape = (2, 4)
@@ -362,7 +362,7 @@ class UniformReal(StandardNormal):
         ValueError: If `shape` is not a constant value.
 
     Supported Platforms:
-        ``Ascend`` ``GPU``
+        ``Ascend`` ``GPU`` ``CPU``
 
     Examples:
         >>> shape = (2, 2)
diff --git a/tests/OWNERS b/tests/OWNERS
index a03a419fa34..f87ea3ceba5 100644
--- a/tests/OWNERS
+++ b/tests/OWNERS
@@ -17,7 +17,6 @@ approvers:
 - john_tzanakakis
 - jpc_chenjianping
 - kingxian
-- leonwanghui
 - liangchenghui
 - lilongfei15
 - limingqi107