From 1179c4b597991d5ac8192e4962da1341b830d5c2 Mon Sep 17 00:00:00 2001 From: huanxiaoling <3174348550@qq.com> Date: Sat, 24 Sep 2022 16:43:13 +0800 Subject: [PATCH] modify the files on webpage in 1.9 --- .../api_python/mindspore.ops.functional.rst | 97 ++----------------- docs/api/api_python/mindspore.ops.rst | 17 +--- .../nn/mindspore.nn.AdaptiveAvgPool2d.rst | 2 +- .../nn/mindspore.nn.AdaptiveAvgPool3d.rst | 2 +- .../nn/mindspore.nn.AdaptiveMaxPool3d.rst | 2 +- .../ops/mindspore.ops.AdaptiveAvgPool2D.rst | 2 +- .../ops/mindspore.ops.AdaptiveMaxPool3D.rst | 2 +- .../api_python/ops/mindspore.ops.Conv3D.rst | 2 +- .../ops/mindspore.ops.MaxPool3DWithArgmax.rst | 2 +- .../api_python/ops/mindspore.ops.Round.rst | 2 + ...mindspore.ops.func_adaptive_avg_pool2d.rst | 2 +- ...mindspore.ops.func_adaptive_avg_pool3d.rst | 2 +- ...mindspore.ops.func_adaptive_max_pool3d.rst | 2 +- .../ops/mindspore.ops.func_isclose.rst | 2 +- .../ops/mindspore.ops.func_max_pool3d.rst | 2 +- .../mindspore.ops.functional.rst | 97 +++---------------- docs/api/api_python_en/mindspore.ops.rst | 17 +--- 17 files changed, 37 insertions(+), 217 deletions(-) diff --git a/docs/api/api_python/mindspore.ops.functional.rst b/docs/api/api_python/mindspore.ops.functional.rst index 032ab045692..a1f019beebd 100644 --- a/docs/api/api_python/mindspore.ops.functional.rst +++ b/docs/api/api_python/mindspore.ops.functional.rst @@ -1,38 +1,6 @@ mindspore.ops.functional ============================= -functional算子是经过初始化后的Primitive，可以直接作为函数使用。functional算子的使用示例如下： - -.. code-block:: python - - from mindspore import Tensor, ops - from mindspore import dtype as mstype - - input_x = Tensor(-1, mstype.int32) - input_dict = {'x':1, 'y':2} - - result_abs = ops.absolute(input_x) - print(result_abs) - - result_in_dict = ops.in_dict('x', input_dict) - print(result_in_dict) - - result_not_in_dict = ops.not_in_dict('x', input_dict) - print(result_not_in_dict) - - result_isconstant = ops.isconstant(input_x) - print(result_isconstant) - - result_typeof = ops.typeof(input_x) - print(result_typeof) - - # outputs: - # 1 - # True - # False - # True - # Tensor[Int32] - 神经网络层函数 ---------------- @@ -210,45 +178,6 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使 mindspore.ops.xdivy mindspore.ops.xlogy -.. list-table:: - :widths: 50 50 - :header-rows: 1 - - * - functional - - Description - * - mindspore.ops.absolute - - `absolute` will be deprecated in the future. Please use `mindspore.ops.abs` instead. - * - mindspore.ops.floordiv - - `floordiv` will be deprecated in the future. Please use `mindspore.ops.floor_div` instead. - * - mindspore.ops.floormod - - `floormod` will be deprecated in the future. Please use `mindspore.ops.floor_mod` instead. - * - mindspore.ops.neg_tensor - - `neg_tensor` will be deprecated in the future. Please use `mindspore.ops.neg` instead. - * - mindspore.ops.pows - - `pows` will be deprecated in the future. Please use `mindspore.ops.pow` instead. - * - mindspore.ops.sqrt - - Refer to :class:`mindspore.ops.Sqrt`. - * - mindspore.ops.square - - Refer to :class:`mindspore.ops.Square`. - * - mindspore.ops.tensor_add - - `tensor_add` will be deprecated in the future. Please use `mindspore.ops.add` instead. - * - mindspore.ops.tensor_div - - `tensor_div` will be deprecated in the future. Please use `mindspore.ops.div` instead. - * - mindspore.ops.tensor_exp - - `tensor_exp` will be deprecated in the future. Please use `mindspore.ops.exp` instead. - * - mindspore.ops.tensor_expm1 - - `tensor_expm1` will be deprecated in the future. Please use `mindspore.ops.expm1` instead. - * - mindspore.ops.tensor_floordiv - - `tensor_floordiv` will be deprecated in the future. Please use `mindspore.ops.floor_div` instead. - * - mindspore.ops.tensor_mod - - `tensor_mod` will be deprecated in the future. Please use `mindspore.ops.floor_mod` instead. - * - mindspore.ops.tensor_mul - - `tensor_mul` will be deprecated in the future. Please use `mindspore.ops.mul` instead. - * - mindspore.ops.tensor_pow - - `tensor_pow` will be deprecated in the future. Please use `mindspore.ops.pow` instead. - * - mindspore.ops.tensor_sub - - `tensor_sub` will be deprecated in the future. Please use `mindspore.ops.sub` instead. - Reduction函数 ^^^^^^^^^^^^^ @@ -316,16 +245,6 @@ Reduction函数 - Refer to :class:`mindspore.ops.IsInstance`. * - mindspore.ops.issubclass\_ - Refer to :class:`mindspore.ops.IsSubClass`. - * - mindspore.ops.not_equal - - `not_equal` will be deprecated in the future. Please use `mindspore.ops.ne` instead. - * - mindspore.ops.tensor_ge - - `tensor_ge` will be deprecated in the future. Please use `mindspore.ops.ge` instead. - * - mindspore.ops.tensor_gt - - `tensor_gt` will be deprecated in the future. Please use `mindspore.ops.gt` instead. - * - mindspore.ops.tensor_le - - `tensor_le` will be deprecated in the future. Please use `mindspore.ops.le` instead. - * - mindspore.ops.tensor_lt - - `tensor_lt` will be deprecated in the future. Please use `mindspore.ops.less` instead. 线性代数函数 ^^^^^^^^^^^^^ @@ -397,6 +316,7 @@ Array操作 mindspore.ops.broadcast_to mindspore.ops.col2im mindspore.ops.concat + mindspore.ops.count_nonzero mindspore.ops.diag mindspore.ops.dyn_shape mindspore.ops.expand_dims @@ -474,8 +394,6 @@ Array操作 - Refer to :class:`mindspore.ops.StridedSlice`. * - mindspore.ops.tensor_scatter_update - Refer to :class:`mindspore.ops.TensorScatterUpdate`. - * - mindspore.ops.tensor_slice - - `tensor_slice` will be deprecated in the future. Please use `mindspore.ops.slice` instead. 类型转换 ^^^^^^^^^^^^^^^^ @@ -566,6 +484,15 @@ Parameter操作函数 mindspore.ops.print_ +图像函数 +---------------- + +.. msplatformautosummary:: + :toctree: ops + :nosignatures: + :template: classtemplate.rst + + mindspore.ops.iou 其他函数 ---------------- @@ -646,8 +573,4 @@ Parameter操作函数 :nosignatures: :template: classtemplate.rst - mindspore.ops.arange mindspore.ops.core - mindspore.ops.count_nonzero - mindspore.ops.iou - diff --git a/docs/api/api_python/mindspore.ops.rst b/docs/api/api_python/mindspore.ops.rst index 992f96d69cc..5e5a265276e 100644 --- a/docs/api/api_python/mindspore.ops.rst +++ b/docs/api/api_python/mindspore.ops.rst @@ -48,20 +48,15 @@ MindSpore中 `mindspore.ops` 接口与上一版本相比，新增、删除和支 mindspore.ops.AvgPool mindspore.ops.AvgPool3D - mindspore.ops.BasicLSTMCell mindspore.ops.BatchNorm mindspore.ops.Conv2D - mindspore.ops.Conv2DBackpropInput mindspore.ops.Conv2DTranspose mindspore.ops.Conv3D mindspore.ops.Conv3DTranspose mindspore.ops.CTCGreedyDecoder - mindspore.ops.DepthwiseConv2dNative mindspore.ops.Dropout mindspore.ops.Dropout2D mindspore.ops.Dropout3D - mindspore.ops.DropoutDoMask - mindspore.ops.DropoutGenMask mindspore.ops.DynamicGRUV2 mindspore.ops.DynamicRNN mindspore.ops.Flatten @@ -118,7 +113,6 @@ MindSpore中 `mindspore.ops` 接口与上一版本相比，新增、删除和支 mindspore.ops.PReLU mindspore.ops.ReLU mindspore.ops.ReLU6 - mindspore.ops.ReLUV2 mindspore.ops.SeLU mindspore.ops.Sigmoid mindspore.ops.Softmax @@ -136,7 +130,6 @@ MindSpore中 `mindspore.ops` 接口与上一版本相比，新增、删除和支 :template: classtemplate.rst mindspore.ops.Adam - mindspore.ops.AdamNoUpdateParam mindspore.ops.AdamWeightDecay mindspore.ops.AdaptiveAvgPool2D mindspore.ops.ApplyAdadelta @@ -153,10 +146,6 @@ MindSpore中 `mindspore.ops` 接口与上一版本相比，新增、删除和支 mindspore.ops.ApplyProximalAdagrad mindspore.ops.ApplyProximalGradientDescent mindspore.ops.ApplyRMSProp - mindspore.ops.FusedSparseAdam - mindspore.ops.FusedSparseFtrl - mindspore.ops.FusedSparseLazyAdam - mindspore.ops.FusedSparseProximalAdagrad mindspore.ops.LARSUpdate mindspore.ops.SparseApplyAdagrad mindspore.ops.SparseApplyAdagradV2 @@ -390,7 +379,6 @@ Tensor创建 mindspore.ops.Gamma mindspore.ops.Multinomial - mindspore.ops.Poisson mindspore.ops.RandomCategorical mindspore.ops.RandomChoiceWithMask mindspore.ops.Randperm @@ -417,7 +405,6 @@ Array操作 mindspore.ops.DataFormatDimMap mindspore.ops.DepthToSpace mindspore.ops.DType - mindspore.ops.DynamicShape mindspore.ops.ExpandDims mindspore.ops.FloatStatus mindspore.ops.Gather @@ -446,12 +433,10 @@ Array操作 mindspore.ops.Size mindspore.ops.Slice mindspore.ops.Sort - mindspore.ops.SpaceToBatch mindspore.ops.SpaceToBatchND mindspore.ops.SpaceToDepth mindspore.ops.SparseGatherV2 mindspore.ops.Split - mindspore.ops.SplitV mindspore.ops.Squeeze mindspore.ops.Stack mindspore.ops.StridedSlice @@ -572,7 +557,7 @@ Parameter操作算子 mindspore.ops.SparseTensorDenseMatmul mindspore.ops.SparseToDense -其他算子 +框架算子 ---------------- .. mscnplatformautosummary:: diff --git a/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool2d.rst b/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool2d.rst index 37bd6d95f5b..2c101e918fa 100644 --- a/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool2d.rst +++ b/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool2d.rst @@ -3,7 +3,7 @@ mindspore.nn.AdaptiveAvgPool2d .. py:class:: mindspore.nn.AdaptiveAvgPool2d(output_size) - 2维自适应平均池化。 + 二维自适应平均池化。 对输入Tensor，提供2维的自适应平均池化操作。也就是说，对于输入任何尺寸，指定输出的尺寸都为H * W。但是输入和输出特征的数目不会变化。 diff --git a/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool3d.rst b/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool3d.rst index f734beaf8c6..0f76229f3eb 100644 --- a/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool3d.rst +++ b/docs/api/api_python/nn/mindspore.nn.AdaptiveAvgPool3d.rst @@ -3,7 +3,7 @@ mindspore.nn.AdaptiveAvgPool3d .. py:class:: mindspore.nn.AdaptiveAvgPool3d(output_size) - 3维自适应平均池化。 + 三维自适应平均池化。 对输入Tensor，提供3维的自适应平均池化操作。也就是说对于输入任何尺寸，指定输出的尺寸都为 :math:`(D, H, W)`。但是输入和输出特征的数目不会变化。 diff --git a/docs/api/api_python/nn/mindspore.nn.AdaptiveMaxPool3d.rst b/docs/api/api_python/nn/mindspore.nn.AdaptiveMaxPool3d.rst index 4a670a24648..5a4985d6ce3 100644 --- a/docs/api/api_python/nn/mindspore.nn.AdaptiveMaxPool3d.rst +++ b/docs/api/api_python/nn/mindspore.nn.AdaptiveMaxPool3d.rst @@ -3,7 +3,7 @@ mindspore.nn.AdaptiveMaxPool3d .. py:class:: mindspore.nn.AdaptiveMaxPool3d(output_size, return_indices=False) - 3维自适应最大值池化。 + 三维自适应最大值池化。 对于任何输入尺寸，输出的大小为 :math:`(D, H, W)` 。输出特征的数量与输入特征的数量相同。 diff --git a/docs/api/api_python/ops/mindspore.ops.AdaptiveAvgPool2D.rst b/docs/api/api_python/ops/mindspore.ops.AdaptiveAvgPool2D.rst index 0e539bd0076..4b99debd492 100644 --- a/docs/api/api_python/ops/mindspore.ops.AdaptiveAvgPool2D.rst +++ b/docs/api/api_python/ops/mindspore.ops.AdaptiveAvgPool2D.rst @@ -3,6 +3,6 @@ .. py:class:: mindspore.ops.AdaptiveAvgPool2D(output_size) - 2维自适应平均池化。 + 二维自适应平均池化。 更多参考详见 :func:`mindspore.ops.adaptive_avg_pool2d`。 diff --git a/docs/api/api_python/ops/mindspore.ops.AdaptiveMaxPool3D.rst b/docs/api/api_python/ops/mindspore.ops.AdaptiveMaxPool3D.rst index f056bde8662..128f1501cde 100644 --- a/docs/api/api_python/ops/mindspore.ops.AdaptiveMaxPool3D.rst +++ b/docs/api/api_python/ops/mindspore.ops.AdaptiveMaxPool3D.rst @@ -3,6 +3,6 @@ mindspore.ops.AdaptiveMaxPool3D .. py:class:: mindspore.ops.AdaptiveMaxPool3D(output_size) - 3维自适应最大值池化。 + 三维自适应最大值池化。 更多参考详见 :func:`mindspore.ops.adaptive_max_pool3d`。 diff --git a/docs/api/api_python/ops/mindspore.ops.Conv3D.rst b/docs/api/api_python/ops/mindspore.ops.Conv3D.rst index 7cc57399303..e6a65d95faa 100644 --- a/docs/api/api_python/ops/mindspore.ops.Conv3D.rst +++ b/docs/api/api_python/ops/mindspore.ops.Conv3D.rst @@ -3,7 +3,7 @@ mindspore.ops.Conv3D .. py:class:: mindspore.ops.Conv3D(out_channel, kernel_size, mode=1, stride=1, pad_mode='valid', pad=0, dilation=1, group=1, data_format='NCDHW') - 3维卷积操作。 + 三维卷积操作。 对输入Tensor进行3维卷积操作。输入Tensor的shape通常为 :math:`(N, C_{in}, D_{in}, H_{in}, W_{in})` ，输出的shape为 :math:`(N, C_{out}, D_{out}, H_{out}, W_{out})` ，其中 :math:`N` 为batch size，:math:`C` 是通道数， :math:`D` 、 :math:`H` 、 :math:`W` 分别为特征层的深度、高度和宽度。公式定义如下： diff --git a/docs/api/api_python/ops/mindspore.ops.MaxPool3DWithArgmax.rst b/docs/api/api_python/ops/mindspore.ops.MaxPool3DWithArgmax.rst index cedb1472dd0..2f37185e2e4 100644 --- a/docs/api/api_python/ops/mindspore.ops.MaxPool3DWithArgmax.rst +++ b/docs/api/api_python/ops/mindspore.ops.MaxPool3DWithArgmax.rst @@ -3,7 +3,7 @@ mindspore.ops.MaxPool3DWithArgmax .. py:class:: mindspore.ops.MaxPool3DWithArgmax(ksize, strides, pads, dilation=(1, 1, 1), ceil_mode=False, data_format="NCDHW", argmax_type=mstype.int64) - 3维最大值池化，返回最大值结果及其索引值。 + 三维最大值池化，返回最大值结果及其索引值。 输入是shape为 :math:`(N_{in}, C_{in}, D_{in}, H_{in}, W_{in})` 的Tensor，输出 :math:`(D_{in}, H_{in}, W_{in})` 维度中的最大值。给定 `ksize` :math:`ks = (d_{ker}, h_{ker}, w_{ker})`，和 `strides` :math:`s = (s_0, s_1, s_2)`，运算如下： diff --git a/docs/api/api_python/ops/mindspore.ops.Round.rst b/docs/api/api_python/ops/mindspore.ops.Round.rst index 5e4460370ea..8a9ba4c8316 100644 --- a/docs/api/api_python/ops/mindspore.ops.Round.rst +++ b/docs/api/api_python/ops/mindspore.ops.Round.rst @@ -3,4 +3,6 @@ mindspore.ops.Round .. py:class:: mindspore.ops.Round + 逐元素返回Tensor最接近的整数值。 + 更多参考详见 :func:`mindspore.ops.round`。 diff --git a/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool2d.rst b/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool2d.rst index e267d487fb6..a6972fc958d 100644 --- a/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool2d.rst +++ b/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool2d.rst @@ -3,7 +3,7 @@ mindspore.ops.adaptive_avg_pool2d .. py:function:: mindspore.ops.adaptive_avg_pool2d(input_x, output_size) - 2维自适应平均池化。 + 二维自适应平均池化。 对输入Tensor，提供2维的自适应平均池化操作，也就是说，对于输入任何尺寸，指定输出的尺寸都为H * W。但是输入和输出特征的数目不会变化。 diff --git a/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool3d.rst b/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool3d.rst index 682e78ef0d9..76eac815354 100644 --- a/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool3d.rst +++ b/docs/api/api_python/ops/mindspore.ops.func_adaptive_avg_pool3d.rst @@ -3,7 +3,7 @@ mindspore.ops.adaptive_avg_pool3d .. py:function:: mindspore.ops.adaptive_avg_pool3d(input_x, output_size) - 3维自适应平均池化。 + 三维自适应平均池化。 对输入Tensor，提供3维的自适应平均池化操作，即对于输入任何尺寸，指定输出的尺寸都为 :math:`(D, H, W)`，但是输入和输出特征的数目不会变化。 diff --git a/docs/api/api_python/ops/mindspore.ops.func_adaptive_max_pool3d.rst b/docs/api/api_python/ops/mindspore.ops.func_adaptive_max_pool3d.rst index f7bd40e1a0b..f893dc2a50c 100644 --- a/docs/api/api_python/ops/mindspore.ops.func_adaptive_max_pool3d.rst +++ b/docs/api/api_python/ops/mindspore.ops.func_adaptive_max_pool3d.rst @@ -3,7 +3,7 @@ mindspore.ops.adaptive_max_pool3d .. py:function:: mindspore.ops.adaptive_max_pool3d(x, output_size, return_indices=False) - 3维自适应最大值池化。 + 三维自适应最大值池化。 对于任何输入尺寸，输出的大小为 :math:`(D, H, W)` ，其中输出特征的数量与输入特征的数量相同。 diff --git a/docs/api/api_python/ops/mindspore.ops.func_isclose.rst b/docs/api/api_python/ops/mindspore.ops.func_isclose.rst index 5edfde7a49a..2468ae9f552 100644 --- a/docs/api/api_python/ops/mindspore.ops.func_isclose.rst +++ b/docs/api/api_python/ops/mindspore.ops.func_isclose.rst @@ -3,7 +3,7 @@ mindspore.ops.isclose .. py:function:: mindspore.ops.isclose(x1, x2, rtol=1e-05, atol=1e-08, equal_nan=False) - 返回一个布尔型Tensor，表示 `x1` 的每个元素与 `x2` 的对应元素在给定容忍度内是否“接近”，其中“接近”的数学公式为： + 返回一个布尔型Tensor，表示 `x1` 的每个元素与 `x2` 的对应元素在给定容忍度内是否“接近”。其中“接近”的数学公式为： .. math:: diff --git a/docs/api/api_python/ops/mindspore.ops.func_max_pool3d.rst b/docs/api/api_python/ops/mindspore.ops.func_max_pool3d.rst index aa4da78ee6c..9bb592d4afa 100644 --- a/docs/api/api_python/ops/mindspore.ops.func_max_pool3d.rst +++ b/docs/api/api_python/ops/mindspore.ops.func_max_pool3d.rst @@ -3,7 +3,7 @@ mindspore.ops.max_pool3d .. py:function:: mindspore.ops.max_pool3d(x, kernel_size, stride=None, padding=0, dilation=1, ceil_mode=False, return_indices=False) - 3维最大值池化。 + 三维最大值池化。 输入是shape为 :math:`(N_{in}, C_{in}, D_{in}, H_{in}, W_{in})` 的Tensor，输出 :math:`(D_{in}, H_{in}, W_{in})` 维度中的最大值。给定 `kernel_size` :math:`ks = (d_{ker}, h_{ker}, w_{ker})`，和 `stride` :math:`s = (s_0, s_1, s_2)`，运算如下： diff --git a/docs/api/api_python_en/mindspore.ops.functional.rst b/docs/api/api_python_en/mindspore.ops.functional.rst index d736297b196..10055021c9a 100644 --- a/docs/api/api_python_en/mindspore.ops.functional.rst +++ b/docs/api/api_python_en/mindspore.ops.functional.rst @@ -1,38 +1,6 @@ mindspore.ops.functional ============================= -The functional operators are initialized Primitives and can be used directly as functions. An example of the use of the functional operator is as follows: - -.. code-block:: python - - from mindspore import Tensor, ops - from mindspore import dtype as mstype - - input_x = Tensor(-1, mstype.int32) - input_dict = {'x':1, 'y':2} - - result_abs = ops.absolute(input_x) - print(result_abs) - - result_in_dict = ops.in_dict('x', input_dict) - print(result_in_dict) - - result_not_in_dict = ops.not_in_dict('x', input_dict) - print(result_not_in_dict) - - result_isconstant = ops.isconstant(input_x) - print(result_isconstant) - - result_typeof = ops.typeof(input_x) - print(result_typeof) - - # outputs: - # 1 - # True - # False - # True - # Tensor[Int32] - Neural Network Layer Functions ------------------------------ @@ -211,45 +179,6 @@ Element-by-Element Operations mindspore.ops.xdivy mindspore.ops.xlogy -.. list-table:: - :widths: 50 50 - :header-rows: 1 - - * - functional - - Description - * - mindspore.ops.absolute - - `absolute` will be deprecated in the future. Please use `mindspore.ops.abs` instead. - * - mindspore.ops.floordiv - - `floordiv` will be deprecated in the future. Please use `mindspore.ops.floor_div` instead. - * - mindspore.ops.floormod - - `floormod` will be deprecated in the future. Please use `mindspore.ops.floor_mod` instead. - * - mindspore.ops.neg_tensor - - `neg_tensor` will be deprecated in the future. Please use `mindspore.ops.neg` instead. - * - mindspore.ops.pows - - `pows` will be deprecated in the future. Please use `mindspore.ops.pow` instead. - * - mindspore.ops.sqrt - - Refer to :class:`mindspore.ops.Sqrt`. - * - mindspore.ops.square - - Refer to :class:`mindspore.ops.Square`. - * - mindspore.ops.tensor_add - - `tensor_add` will be deprecated in the future. Please use `mindspore.ops.add` instead. - * - mindspore.ops.tensor_div - - `tensor_div` will be deprecated in the future. Please use `mindspore.ops.div` instead. - * - mindspore.ops.tensor_exp - - `tensor_exp` will be deprecated in the future. Please use `mindspore.ops.exp` instead. - * - mindspore.ops.tensor_expm1 - - `tensor_expm1` will be deprecated in the future. Please use `mindspore.ops.expm1` instead. - * - mindspore.ops.tensor_floordiv - - `tensor_floordiv` will be deprecated in the future. Please use `mindspore.ops.floor_div` instead. - * - mindspore.ops.tensor_mod - - `tensor_mod` will be deprecated in the future. Please use `mindspore.ops.floor_mod` instead. - * - mindspore.ops.tensor_mul - - `tensor_mul` will be deprecated in the future. Please use `mindspore.ops.mul` instead. - * - mindspore.ops.tensor_pow - - `tensor_pow` will be deprecated in the future. Please use `mindspore.ops.pow` instead. - * - mindspore.ops.tensor_sub - - `tensor_sub` will be deprecated in the future. Please use `mindspore.ops.sub` instead. - Reduction Functions ^^^^^^^^^^^^^^^^^^^ .. msplatformautosummary:: @@ -316,16 +245,6 @@ Comparison Functions - Refer to :class:`mindspore.ops.IsInstance`. * - mindspore.ops.issubclass\_ - Refer to :class:`mindspore.ops.IsSubClass`. - * - mindspore.ops.not_equal - - `not_equal` will be deprecated in the future. Please use `mindspore.ops.ne` instead. - * - mindspore.ops.tensor_ge - - `tensor_ge` will be deprecated in the future. Please use `mindspore.ops.ge` instead. - * - mindspore.ops.tensor_gt - - `tensor_gt` will be deprecated in the future. Please use `mindspore.ops.gt` instead. - * - mindspore.ops.tensor_le - - `tensor_le` will be deprecated in the future. Please use `mindspore.ops.le` instead. - * - mindspore.ops.tensor_lt - - `tensor_lt` will be deprecated in the future. Please use `mindspore.ops.less` instead. Linear Algebraic Functions ^^^^^^^^^^^^^^^^^^^^^^^^^^ @@ -397,6 +316,7 @@ Array Operation mindspore.ops.broadcast_to mindspore.ops.col2im mindspore.ops.concat + mindspore.ops.count_nonzero mindspore.ops.diag mindspore.ops.dyn_shape mindspore.ops.expand_dims @@ -474,8 +394,6 @@ Array Operation - Refer to :class:`mindspore.ops.StridedSlice`. * - mindspore.ops.tensor_scatter_update - Refer to :class:`mindspore.ops.TensorScatterUpdate`. - * - mindspore.ops.tensor_slice - - `tensor_slice` will be deprecated in the future. Please use `mindspore.ops.slice` instead. Type Conversion ^^^^^^^^^^^^^^^ @@ -566,6 +484,16 @@ Debugging Functions mindspore.ops.print_ +Image Functions +--------------- + +.. msplatformautosummary:: + :toctree: ops + :nosignatures: + :template: classtemplate.rst + + mindspore.ops.iou + Other Functions --------------- .. list-table:: @@ -644,7 +572,4 @@ Other Functions :nosignatures: :template: classtemplate.rst - mindspore.ops.arange mindspore.ops.core - mindspore.ops.count_nonzero - mindspore.ops.iou diff --git a/docs/api/api_python_en/mindspore.ops.rst b/docs/api/api_python_en/mindspore.ops.rst index 85ea744953d..4f0ed051b72 100644 --- a/docs/api/api_python_en/mindspore.ops.rst +++ b/docs/api/api_python_en/mindspore.ops.rst @@ -48,20 +48,15 @@ Neural Network mindspore.ops.AvgPool mindspore.ops.AvgPool3D - mindspore.ops.BasicLSTMCell mindspore.ops.BatchNorm mindspore.ops.Conv2D - mindspore.ops.Conv2DBackpropInput mindspore.ops.Conv2DTranspose mindspore.ops.Conv3D mindspore.ops.Conv3DTranspose mindspore.ops.CTCGreedyDecoder - mindspore.ops.DepthwiseConv2dNative mindspore.ops.Dropout mindspore.ops.Dropout2D mindspore.ops.Dropout3D - mindspore.ops.DropoutDoMask - mindspore.ops.DropoutGenMask mindspore.ops.DynamicGRUV2 mindspore.ops.DynamicRNN mindspore.ops.Flatten @@ -118,7 +113,6 @@ Activation Function mindspore.ops.PReLU mindspore.ops.ReLU mindspore.ops.ReLU6 - mindspore.ops.ReLUV2 mindspore.ops.SeLU mindspore.ops.Sigmoid mindspore.ops.Softmax @@ -136,7 +130,6 @@ Optimizer :template: classtemplate.rst mindspore.ops.Adam - mindspore.ops.AdamNoUpdateParam mindspore.ops.AdamWeightDecay mindspore.ops.AdaptiveAvgPool2D mindspore.ops.ApplyAdadelta @@ -153,10 +146,6 @@ Optimizer mindspore.ops.ApplyProximalAdagrad mindspore.ops.ApplyProximalGradientDescent mindspore.ops.ApplyRMSProp - mindspore.ops.FusedSparseAdam - mindspore.ops.FusedSparseFtrl - mindspore.ops.FusedSparseLazyAdam - mindspore.ops.FusedSparseProximalAdagrad mindspore.ops.LARSUpdate mindspore.ops.SparseApplyAdagrad mindspore.ops.SparseApplyAdagradV2 @@ -390,7 +379,6 @@ Random Generation Operator mindspore.ops.Gamma mindspore.ops.Multinomial - mindspore.ops.Poisson mindspore.ops.RandomCategorical mindspore.ops.RandomChoiceWithMask mindspore.ops.Randperm @@ -417,7 +405,6 @@ Array Operation mindspore.ops.DataFormatDimMap mindspore.ops.DepthToSpace mindspore.ops.DType - mindspore.ops.DynamicShape mindspore.ops.ExpandDims mindspore.ops.FloatStatus mindspore.ops.Gather @@ -446,12 +433,10 @@ Array Operation mindspore.ops.Size mindspore.ops.Slice mindspore.ops.Sort - mindspore.ops.SpaceToBatch mindspore.ops.SpaceToBatchND mindspore.ops.SpaceToDepth mindspore.ops.SparseGatherV2 mindspore.ops.Split - mindspore.ops.SplitV mindspore.ops.Squeeze mindspore.ops.Stack mindspore.ops.StridedSlice @@ -570,7 +555,7 @@ Sparse Operator mindspore.ops.SparseTensorDenseMatmul mindspore.ops.SparseToDense -Other Operators +Frame Operators --------------- .. msplatformautosummary::