!38650 modify the rst files
Merge pull request !38650 from 宦晓玲/code_docs_0722
This commit is contained in:
Gitee
commit
83b657b4df
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@ -33,7 +33,7 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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# True
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# Tensor[Int32]
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神经网络层算子
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神经网络层函数
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----------------
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神经网络
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@ -47,13 +47,32 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.adaptive_avg_pool2d
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mindspore.ops.adaptive_max_pool3d
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mindspore.ops.avg_pool2d
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mindspore.ops.ctc_greedy_decoder
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mindspore.ops.deformable_conv2d
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mindspore.ops.dropout2d
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mindspore.ops.dropout3d
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mindspore.ops.flatten
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mindspore.ops.interpolate
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mindspore.ops.lrn
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mindspore.ops.max_pool3d
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mindspore.ops.kl_div
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mindspore.ops.pad
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mindspore.ops.padding
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mindspore.ops.pdist
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损失函数
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^^^^^^^^^^
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.. mscnplatformautosummary::
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:toctree: ops
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.binary_cross_entropy_with_logits
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mindspore.ops.cross_entropy
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mindspore.ops.nll_loss
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mindspore.ops.smooth_l1_loss
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激活函数
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^^^^^^^^^^
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@ -64,14 +83,17 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.celu
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mindspore.ops.fast_gelu
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mindspore.ops.gumbel_softmax
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mindspore.ops.hardshrink
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mindspore.ops.hardswish
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mindspore.ops.log_softmax
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mindspore.ops.mish
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mindspore.ops.selu
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mindspore.ops.soft_shrink
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mindspore.ops.softsign
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mindspore.ops.tanh
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损失函数
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采样函数
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^^^^^^^^^^
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.. mscnplatformautosummary::
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@ -79,11 +101,19 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.cross_entropy
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mindspore.ops.nll_loss
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mindspore.ops.smooth_l1_loss
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mindspore.ops.uniform_candidate_sampler
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数学运算算子
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距离函数
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^^^^^^^^^^
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.. mscnplatformautosummary::
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:toctree: ops
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.cdist
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数学运算函数
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----------------
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逐元素运算
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@ -107,16 +137,16 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.bernoulli
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mindspore.ops.bessel_i0
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mindspore.ops.bessel_i0e
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mindspore.ops.bessel_i1
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mindspore.ops.bessel_i1e
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mindspore.ops.bessel_j0
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mindspore.ops.bessel_j1
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mindspore.ops.bessel_k0
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mindspore.ops.bessel_k0e
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mindspore.ops.bessel_y0
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mindspore.ops.bessel_y1
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mindspore.ops.bessel_i1
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mindspore.ops.bessel_i1e
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mindspore.ops.bessel_k1
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mindspore.ops.bessel_k1e
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mindspore.ops.bessel_y0
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mindspore.ops.bessel_y1
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mindspore.ops.bitwise_and
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mindspore.ops.bitwise_or
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mindspore.ops.bitwise_xor
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@ -124,8 +154,6 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.cos
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mindspore.ops.cosh
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mindspore.ops.div
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mindspore.ops.dropout2d
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mindspore.ops.dropout3d
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mindspore.ops.erf
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mindspore.ops.erfc
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mindspore.ops.exp
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@ -133,9 +161,6 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.floor
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mindspore.ops.floor_div
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mindspore.ops.floor_mod
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mindspore.ops.inplace_add
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mindspore.ops.inplace_sub
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mindspore.ops.inplace_update
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mindspore.ops.inv
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mindspore.ops.invert
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mindspore.ops.lerp
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@ -145,14 +170,11 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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mindspore.ops.logical_not
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mindspore.ops.logical_or
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mindspore.ops.log_matrix_determinant
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mindspore.ops.lrn
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mindspore.ops.matrix_determinant
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mindspore.ops.mish
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mindspore.ops.mul
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mindspore.ops.neg
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mindspore.ops.pow
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mindspore.ops.round
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mindspore.ops.selu
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mindspore.ops.sin
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mindspore.ops.sinh
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mindspore.ops.sub
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@ -199,7 +221,7 @@ functional算子是经过初始化后的Primitive，可以直接作为函数使
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* - mindspore.ops.tensor_sub
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- `tensor_sub` will be deprecated in the future. Please use `mindspore.ops.sub` instead.
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Reduction算子
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Reduction函数
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^^^^^^^^^^^^^
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.. mscnplatformautosummary::
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@ -207,6 +229,7 @@ Reduction算子
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.argmin
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mindspore.ops.logsumexp
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mindspore.ops.max
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mindspore.ops.norm
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@ -228,7 +251,7 @@ Reduction算子
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* - mindspore.ops.reduce_sum
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- Refer to :class:`mindspore.ops.ReduceSum`.
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比较算子
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比较函数
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^^^^^^^^^^^^^
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.. mscnplatformautosummary::
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@ -237,7 +260,6 @@ Reduction算子
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:template: classtemplate.rst
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mindspore.ops.approximate_equal
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mindspore.ops.argmin
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mindspore.ops.cummax
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mindspore.ops.cummin
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mindspore.ops.equal
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@ -277,7 +299,7 @@ Reduction算子
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* - mindspore.ops.tensor_lt
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- `tensor_lt` will be deprecated in the future. Please use `mindspore.ops.less` instead.
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线性代数算子
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线性代数函数
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^^^^^^^^^^^^^
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.. mscnplatformautosummary::
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@ -285,13 +307,15 @@ Reduction算子
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:nosignatures:
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:template: classtemplate.rst
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mindspore.ops.batch_dot
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mindspore.ops.dot
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mindspore.ops.matmul
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mindspore.ops.matrix_solve
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mindspore.ops.cdist
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mindspore.ops.ger
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mindspore.ops.renorm
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mindspore.ops.tensor_dot
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Tensor操作算子
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Tensor操作函数
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----------------
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Tensor创建
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@ -306,11 +330,13 @@ Tensor创建
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mindspore.ops.fill
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mindspore.ops.fills
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mindspore.ops.linspace
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mindspore.ops.narrow
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mindspore.ops.one_hot
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mindspore.ops.ones
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mindspore.ops.ones_like
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mindspore.ops.zeros_like
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随机生成算子
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随机生成函数
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^^^^^^^^^^^^^^^^
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.. mscnplatformautosummary::
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@ -319,14 +345,14 @@ Tensor创建
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:template: classtemplate.rst
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mindspore.ops.gamma
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mindspore.ops.random_gamma
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mindspore.ops.laplace
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mindspore.ops.multinomial
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mindspore.ops.poisson
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mindspore.ops.random_categorical
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mindspore.ops.random_gamma
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mindspore.ops.standard_laplace
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mindspore.ops.uniform
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mindspore.ops.standard_normal
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mindspore.ops.uniform_candidate_sampler
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mindspore.ops.uniform
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Array操作
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^^^^^^^^^^^^^^^^
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@ -339,20 +365,21 @@ Array操作
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mindspore.ops.adaptive_max_pool2d
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mindspore.ops.affine_grid
|
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mindspore.ops.batch_to_space_nd
|
||||
mindspore.ops.binary_cross_entropy_with_logits
|
||||
mindspore.ops.broadcast_to
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mindspore.ops.col2im
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mindspore.ops.concat
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mindspore.ops.diag
|
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mindspore.ops.dyn_shape
|
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mindspore.ops.expand_dims
|
||||
mindspore.ops.flatten
|
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mindspore.ops.gather
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mindspore.ops.gather_d
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mindspore.ops.gather_elements
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mindspore.ops.gather_nd
|
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mindspore.ops.gumbel_softmax
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mindspore.ops.index_add
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mindspore.ops.index_fill
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mindspore.ops.inplace_add
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mindspore.ops.inplace_sub
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mindspore.ops.inplace_update
|
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mindspore.ops.masked_fill
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mindspore.ops.masked_select
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mindspore.ops.matrix_band_part
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@ -360,14 +387,15 @@ Array操作
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mindspore.ops.matrix_diag_part
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mindspore.ops.matrix_set_diag
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mindspore.ops.meshgrid
|
||||
mindspore.ops.normal
|
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mindspore.ops.nonzero
|
||||
mindspore.ops.one_hot
|
||||
mindspore.ops.padding
|
||||
mindspore.ops.range
|
||||
mindspore.ops.rank
|
||||
mindspore.ops.repeat_elements
|
||||
mindspore.ops.reshape
|
||||
mindspore.ops.scatter_nd
|
||||
mindspore.ops.select
|
||||
mindspore.ops.sequence_mask
|
||||
mindspore.ops.shape
|
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mindspore.ops.size
|
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mindspore.ops.slice
|
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@ -385,12 +413,12 @@ Array操作
|
|||
mindspore.ops.tensor_scatter_elements
|
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mindspore.ops.tile
|
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mindspore.ops.transpose
|
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mindspore.ops.unsorted_segment_min
|
||||
mindspore.ops.unsorted_segment_max
|
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mindspore.ops.unsorted_segment_prod
|
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mindspore.ops.unique
|
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mindspore.ops.unique_consecutive
|
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mindspore.ops.unique_with_pad
|
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mindspore.ops.unsorted_segment_max
|
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mindspore.ops.unsorted_segment_min
|
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mindspore.ops.unsorted_segment_prod
|
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mindspore.ops.unsorted_segment_sum
|
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mindspore.ops.unstack
|
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|
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@ -430,7 +458,7 @@ Array操作
|
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mindspore.ops.scalar_to_tensor
|
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mindspore.ops.tuple_to_array
|
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|
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稀疏算子
|
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稀疏函数
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^^^^^^^^^^^^^^^^
|
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.. mscnplatformautosummary::
|
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@ -443,7 +471,18 @@ Array操作
|
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mindspore.ops.csr_to_coo
|
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mindspore.ops.sparse_add
|
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|
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Parameter操作算子
|
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梯度剪裁
|
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^^^^^^^
|
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|
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.. mscnplatformautosummary::
|
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:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.clip_by_global_norm
|
||||
mindspore.ops.clip_by_value
|
||||
|
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Parameter操作函数
|
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--------------------
|
||||
|
||||
.. mscnplatformautosummary::
|
||||
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@ -454,7 +493,6 @@ Parameter操作算子
|
|||
mindspore.ops.assign
|
||||
mindspore.ops.assign_add
|
||||
mindspore.ops.assign_sub
|
||||
mindspore.ops.index_add
|
||||
mindspore.ops.scatter_add
|
||||
mindspore.ops.scatter_div
|
||||
mindspore.ops.scatter_min
|
||||
|
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@ -473,10 +511,23 @@ Parameter操作算子
|
|||
|
||||
* - functional
|
||||
- Description
|
||||
* - mindspore.ops.scatter_nd_update
|
||||
- Refer to :class:`mindspore.ops.ScatterNdUpdate`.
|
||||
|
||||
调试算子
|
||||
微分函数
|
||||
----------------
|
||||
|
||||
.. mscnplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.derivative
|
||||
mindspore.ops.grad
|
||||
mindspore.ops.jet
|
||||
mindspore.ops.jvp
|
||||
mindspore.ops.vjp
|
||||
mindspore.ops.vmap
|
||||
|
||||
调试函数
|
||||
----------------
|
||||
|
||||
.. list-table::
|
||||
|
|
@ -488,7 +539,7 @@ Parameter操作算子
|
|||
* - mindspore.ops.print\_
|
||||
- Refer to :class:`mindspore.ops.Print`.
|
||||
|
||||
其他算子
|
||||
其他函数
|
||||
----------------
|
||||
|
||||
.. list-table::
|
||||
|
|
@ -568,23 +619,6 @@ Parameter操作算子
|
|||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.arange
|
||||
mindspore.ops.batch_dot
|
||||
mindspore.ops.clip_by_global_norm
|
||||
mindspore.ops.clip_by_value
|
||||
mindspore.ops.core
|
||||
mindspore.ops.count_nonzero
|
||||
mindspore.ops.ctc_greedy_decoder
|
||||
mindspore.ops.derivative
|
||||
mindspore.ops.dot
|
||||
mindspore.ops.grad
|
||||
mindspore.ops.jet
|
||||
mindspore.ops.jvp
|
||||
mindspore.ops.laplace
|
||||
mindspore.ops.narrow
|
||||
mindspore.ops.normal
|
||||
mindspore.ops.repeat_elements
|
||||
mindspore.ops.sequence_mask
|
||||
mindspore.ops.tensor_dot
|
||||
mindspore.ops.uniform
|
||||
mindspore.ops.vjp
|
||||
mindspore.ops.vmap
|
||||
|
||||
|
|
|
|||
|
|
@ -33,7 +33,7 @@ The functional operators are initialized Primitives and can be used directly as
|
|||
# True
|
||||
# Tensor[Int32]
|
||||
|
||||
Neural Network Layer Operators
|
||||
Neural Network Layer Functions
|
||||
------------------------------
|
||||
|
||||
Neural Network
|
||||
|
|
@ -47,13 +47,32 @@ Neural Network
|
|||
mindspore.ops.adaptive_avg_pool2d
|
||||
mindspore.ops.adaptive_max_pool3d
|
||||
mindspore.ops.avg_pool2d
|
||||
mindspore.ops.ctc_greedy_decoder
|
||||
mindspore.ops.deformable_conv2d
|
||||
mindspore.ops.dropout2d
|
||||
mindspore.ops.dropout3d
|
||||
mindspore.ops.flatten
|
||||
mindspore.ops.interpolate
|
||||
mindspore.ops.lrn
|
||||
mindspore.ops.max_pool3d
|
||||
mindspore.ops.kl_div
|
||||
mindspore.ops.pad
|
||||
mindspore.ops.padding
|
||||
mindspore.ops.pdist
|
||||
|
||||
Loss Functions
|
||||
^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.binary_cross_entropy_with_logits
|
||||
mindspore.ops.cross_entropy
|
||||
mindspore.ops.nll_loss
|
||||
mindspore.ops.smooth_l1_loss
|
||||
|
||||
Activation Functions
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
|
|
@ -64,26 +83,37 @@ Activation Functions
|
|||
|
||||
mindspore.ops.celu
|
||||
mindspore.ops.fast_gelu
|
||||
mindspore.ops.gumbel_softmax
|
||||
mindspore.ops.hardshrink
|
||||
mindspore.ops.hardswish
|
||||
mindspore.ops.log_softmax
|
||||
mindspore.ops.mish
|
||||
mindspore.ops.selu
|
||||
mindspore.ops.softsign
|
||||
mindspore.ops.soft_shrink
|
||||
mindspore.ops.tanh
|
||||
|
||||
Loss Functions
|
||||
^^^^^^^^^^^^^^
|
||||
Sampling Functions
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.cross_entropy
|
||||
mindspore.ops.nll_loss
|
||||
mindspore.ops.smooth_l1_loss
|
||||
mindspore.ops.uniform_candidate_sampler
|
||||
|
||||
Mathematical Operators
|
||||
Distance Functions
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.cdist
|
||||
|
||||
Mathematical Functions
|
||||
----------------------
|
||||
|
||||
Element-by-Element Operations
|
||||
|
|
@ -107,16 +137,16 @@ Element-by-Element Operations
|
|||
mindspore.ops.bernoulli
|
||||
mindspore.ops.bessel_i0
|
||||
mindspore.ops.bessel_i0e
|
||||
mindspore.ops.bessel_i1
|
||||
mindspore.ops.bessel_i1e
|
||||
mindspore.ops.bessel_j0
|
||||
mindspore.ops.bessel_j1
|
||||
mindspore.ops.bessel_k0
|
||||
mindspore.ops.bessel_k0e
|
||||
mindspore.ops.bessel_y0
|
||||
mindspore.ops.bessel_y1
|
||||
mindspore.ops.bessel_i1
|
||||
mindspore.ops.bessel_i1e
|
||||
mindspore.ops.bessel_k1
|
||||
mindspore.ops.bessel_k1e
|
||||
mindspore.ops.bessel_y0
|
||||
mindspore.ops.bessel_y1
|
||||
mindspore.ops.bitwise_and
|
||||
mindspore.ops.bitwise_or
|
||||
mindspore.ops.bitwise_xor
|
||||
|
|
@ -124,8 +154,6 @@ Element-by-Element Operations
|
|||
mindspore.ops.cos
|
||||
mindspore.ops.cosh
|
||||
mindspore.ops.div
|
||||
mindspore.ops.dropout2d
|
||||
mindspore.ops.dropout3d
|
||||
mindspore.ops.erf
|
||||
mindspore.ops.erfc
|
||||
mindspore.ops.exp
|
||||
|
|
@ -145,9 +173,7 @@ Element-by-Element Operations
|
|||
mindspore.ops.logical_not
|
||||
mindspore.ops.logical_or
|
||||
mindspore.ops.log_matrix_determinant
|
||||
mindspore.ops.lrn
|
||||
mindspore.ops.matrix_determinant
|
||||
mindspore.ops.mish
|
||||
mindspore.ops.mul
|
||||
mindspore.ops.neg
|
||||
mindspore.ops.pow
|
||||
|
|
@ -199,13 +225,14 @@ Element-by-Element Operations
|
|||
* - mindspore.ops.tensor_sub
|
||||
- `tensor_sub` will be deprecated in the future. Please use `mindspore.ops.sub` instead.
|
||||
|
||||
Reduction Operators
|
||||
Reduction Functions
|
||||
^^^^^^^^^^^^^^^^^^^
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.argmin
|
||||
mindspore.ops.logsumexp
|
||||
mindspore.ops.max
|
||||
mindspore.ops.norm
|
||||
|
|
@ -227,7 +254,7 @@ Reduction Operators
|
|||
* - mindspore.ops.reduce_sum
|
||||
- Refer to :class:`mindspore.ops.ReduceSum`.
|
||||
|
||||
Comparison operators
|
||||
Comparison Functions
|
||||
^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
|
|
@ -236,7 +263,6 @@ Comparison operators
|
|||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.approximate_equal
|
||||
mindspore.ops.argmin
|
||||
mindspore.ops.cummax
|
||||
mindspore.ops.cummin
|
||||
mindspore.ops.equal
|
||||
|
|
@ -276,7 +302,7 @@ Comparison operators
|
|||
* - mindspore.ops.tensor_lt
|
||||
- `tensor_lt` will be deprecated in the future. Please use `mindspore.ops.less` instead.
|
||||
|
||||
Linear Algebraic Operators
|
||||
Linear Algebraic Functions
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
|
|
@ -284,13 +310,15 @@ Linear Algebraic Operators
|
|||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.batch_dot
|
||||
mindspore.ops.dot
|
||||
mindspore.ops.matmul
|
||||
mindspore.ops.matrix_solve
|
||||
mindspore.ops.cdist
|
||||
mindspore.ops.ger
|
||||
mindspore.ops.renorm
|
||||
mindspore.ops.tensor_dot
|
||||
|
||||
Tensor Operation Operators
|
||||
Tensor Operation Functions
|
||||
--------------------------
|
||||
|
||||
Tensor Building
|
||||
|
|
@ -305,11 +333,13 @@ Tensor Building
|
|||
mindspore.ops.fill
|
||||
mindspore.ops.fills
|
||||
mindspore.ops.linspace
|
||||
mindspore.ops.narrow
|
||||
mindspore.ops.one_hot
|
||||
mindspore.ops.ones
|
||||
mindspore.ops.ones_like
|
||||
mindspore.ops.zeros_like
|
||||
|
||||
Randomly Generating Operators
|
||||
Randomly Generating Functions
|
||||
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
|
|
@ -318,14 +348,14 @@ Randomly Generating Operators
|
|||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.gamma
|
||||
mindspore.ops.random_gamma
|
||||
mindspore.ops.laplace
|
||||
mindspore.ops.multinomial
|
||||
mindspore.ops.poisson
|
||||
mindspore.ops.random_categorical
|
||||
mindspore.ops.random_gamma
|
||||
mindspore.ops.standard_laplace
|
||||
mindspore.ops.uniform
|
||||
mindspore.ops.standard_normal
|
||||
mindspore.ops.uniform_candidate_sampler
|
||||
mindspore.ops.uniform
|
||||
|
||||
Array Operation
|
||||
^^^^^^^^^^^^^^^
|
||||
|
|
@ -338,7 +368,6 @@ Array Operation
|
|||
mindspore.ops.adaptive_max_pool2d
|
||||
mindspore.ops.affine_grid
|
||||
mindspore.ops.batch_to_space_nd
|
||||
mindspore.ops.binary_cross_entropy_with_logits
|
||||
mindspore.ops.broadcast_to
|
||||
mindspore.ops.col2im
|
||||
mindspore.ops.concat
|
||||
|
|
@ -349,9 +378,11 @@ Array Operation
|
|||
mindspore.ops.gather_d
|
||||
mindspore.ops.gather_elements
|
||||
mindspore.ops.gather_nd
|
||||
mindspore.ops.gumbel_softmax
|
||||
mindspore.ops.index_add
|
||||
mindspore.ops.index_fill
|
||||
mindspore.ops.intopk
|
||||
mindspore.ops.inplace_add
|
||||
mindspore.ops.inplace_sub
|
||||
mindspore.ops.inplace_update
|
||||
mindspore.ops.masked_fill
|
||||
mindspore.ops.masked_select
|
||||
mindspore.ops.matrix_band_part
|
||||
|
|
@ -359,15 +390,15 @@ Array Operation
|
|||
mindspore.ops.matrix_diag_part
|
||||
mindspore.ops.matrix_set_diag
|
||||
mindspore.ops.meshgrid
|
||||
mindspore.ops.normal
|
||||
mindspore.ops.nonzero
|
||||
mindspore.ops.one_hot
|
||||
mindspore.ops.padding
|
||||
mindspore.ops.range
|
||||
mindspore.ops.rank
|
||||
mindspore.ops.repeat_elements
|
||||
mindspore.ops.reshape
|
||||
mindspore.ops.flatten
|
||||
mindspore.ops.scatter_nd
|
||||
mindspore.ops.select
|
||||
mindspore.ops.sequence_mask
|
||||
mindspore.ops.shape
|
||||
mindspore.ops.size
|
||||
mindspore.ops.slice
|
||||
|
|
@ -385,12 +416,12 @@ Array Operation
|
|||
mindspore.ops.tensor_scatter_elements
|
||||
mindspore.ops.tile
|
||||
mindspore.ops.transpose
|
||||
mindspore.ops.unsorted_segment_min
|
||||
mindspore.ops.unsorted_segment_max
|
||||
mindspore.ops.unsorted_segment_prod
|
||||
mindspore.ops.unique
|
||||
mindspore.ops.unique_consecutive
|
||||
mindspore.ops.unique_with_pad
|
||||
mindspore.ops.unsorted_segment_max
|
||||
mindspore.ops.unsorted_segment_min
|
||||
mindspore.ops.unsorted_segment_prod
|
||||
mindspore.ops.unsorted_segment_sum
|
||||
mindspore.ops.unstack
|
||||
|
||||
|
|
@ -430,7 +461,7 @@ Type Conversion
|
|||
mindspore.ops.scalar_to_tensor
|
||||
mindspore.ops.tuple_to_array
|
||||
|
||||
Sparse Operation
|
||||
Sparse Functions
|
||||
^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
|
|
@ -443,7 +474,18 @@ Sparse Operation
|
|||
mindspore.ops.csr_to_coo
|
||||
mindspore.ops.sparse_add
|
||||
|
||||
Parameter Operation Oprators
|
||||
Gradient Clipping
|
||||
^^^^^^^^^^^^^^^^^^
|
||||
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.clip_by_global_norm
|
||||
mindspore.ops.clip_by_value
|
||||
|
||||
Parameter Operation Functions
|
||||
----------------------------
|
||||
|
||||
.. msplatformautosummary::
|
||||
|
|
@ -454,7 +496,6 @@ Parameter Operation Oprators
|
|||
mindspore.ops.assign
|
||||
mindspore.ops.assign_add
|
||||
mindspore.ops.assign_sub
|
||||
mindspore.ops.index_add
|
||||
mindspore.ops.scatter_add
|
||||
mindspore.ops.scatter_div
|
||||
mindspore.ops.scatter_min
|
||||
|
|
@ -473,10 +514,23 @@ Parameter Operation Oprators
|
|||
|
||||
* - functional
|
||||
- Description
|
||||
* - mindspore.ops.scatter_nd_update
|
||||
- Refer to :class:`mindspore.ops.ScatterNdUpdate`.
|
||||
|
||||
Debugging Operators
|
||||
Differential Functions
|
||||
----------------
|
||||
|
||||
.. msplatformautosummary::
|
||||
:toctree: ops
|
||||
:nosignatures:
|
||||
:template: classtemplate.rst
|
||||
|
||||
mindspore.ops.derivative
|
||||
mindspore.ops.grad
|
||||
mindspore.ops.jet
|
||||
mindspore.ops.jvp
|
||||
mindspore.ops.vjp
|
||||
mindspore.ops.vmap
|
||||
|
||||
Debugging Functions
|
||||
-------------------
|
||||
|
||||
.. list-table::
|
||||
|
|
@ -488,8 +542,7 @@ Debugging Operators
|
|||
* - mindspore.ops.print\_
|
||||
- Refer to :class:`mindspore.ops.Print`.
|
||||
|
||||
|
||||
Other Operators
|
||||
Other Functions
|
||||
---------------
|
||||
.. list-table::
|
||||
:widths: 50 50
|
||||
|
|
@ -569,22 +622,5 @@ Other Operators
|
|||
|
||||
mindspore.ops.arange
|
||||
mindspore.ops.batch_dot
|
||||
mindspore.ops.clip_by_global_norm
|
||||
mindspore.ops.clip_by_value
|
||||
mindspore.ops.core
|
||||
mindspore.ops.count_nonzero
|
||||
mindspore.ops.ctc_greedy_decoder
|
||||
mindspore.ops.derivative
|
||||
mindspore.ops.dot
|
||||
mindspore.ops.grad
|
||||
mindspore.ops.jet
|
||||
mindspore.ops.jvp
|
||||
mindspore.ops.laplace
|
||||
mindspore.ops.narrow
|
||||
mindspore.ops.normal
|
||||
mindspore.ops.repeat_elements
|
||||
mindspore.ops.sequence_mask
|
||||
mindspore.ops.tensor_dot
|
||||
mindspore.ops.uniform
|
||||
mindspore.ops.vjp
|
||||
mindspore.ops.vmap
|
||||
|
|
|
|||
Loading…
Reference in New Issue