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Compared with the previous version, the added, deleted and supported platforms change information of mindspore.ops operators in MindSpore, is shown in the following table.
| API | Status | Description | Support Platform | Class |
|---|---|---|---|---|
| mindspore.ops.TensorScatterAdd | New | Creates a new tensor by adding the values from the positions in input_x indicicated by indices , with values from update . | r1.3: GPU | operations--Array Operators |
| mindspore.ops.MaskedSelect | New | Returns a new 1-D Tensor which indexes the input tensor according to the boolean mask. | r1.3: CPU | operations--Array Operators |
| mindspore.ops.AvgPool3D | New | 3D Average pooling operation. | r1.3: Ascend | operations--Neural Network Operators |
| mindspore.ops.AdaptiveAvgPool2D | New | AdaptiveAvgPool2D operation. | r1.3: GPU | operations--Neural Network Operators |
| mindspore.ops.SparseTensorDenseMatmul | New | Multiplies sparse matrix A by dense matrix B . | r1.3: CPU | operations--Sparse Operators |
| mindspore.ops.SparseToDense | New | Converts a sparse representation into a dense tensor. | r1.3: CPU | operations--Sparse Operators |
| mindspore.ops.MDIterationLeapFrogLiujian | New | One step of classical leap frog algorithm to solve the finite difference Hamiltonian equations of motion for certain system, using Langevin dynamics with Liu’s thermostat scheme. | r1.3: GPU | operations--Sponge Operators |
| mindspore.ops.distribute | Deleted | mindspore.ops.Primitive (‘distribute’) | functional | |
| mindspore.ops.AiCPURegOp | Deleted | Class for AiCPU op info register | op_info_register | |
| mindspore.ops.core | Changed | A decorator that adds a flag to the function. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | composite |
| mindspore.ops.ScatterUpdate | Changed | Updates tensor values by using input indices and value. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.ScatterDiv | Changed | Updates the value of the input tensor through the divide operation. | r1.2: Ascend => r1.3: Ascend/CPU | operations--Array Operators |
| mindspore.ops.ScatterNdUpdate | Changed | Updates tensor values by using input indices and value. | r1.2: Ascend/CPU => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.EmbeddingLookup | Changed | Returns a slice of input tensor based on the specified indices. | r1.2: Ascend/CPU => r1.3: Ascend/CPU/GPU | operations--Array Operators |
| mindspore.ops.ScatterAdd | Changed | Updates the value of the input tensor through the addition operation. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.ScatterSub | Changed | Updates the value of the input tensor through the subtraction operation. | r1.2: Ascend => r1.3: Ascend/CPU | operations--Array Operators |
| mindspore.ops.DepthToSpace | Changed | Rearranges blocks of depth data into spatial dimensions. | r1.2: Ascend => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.Rint | Changed | Returns an integer that is closest to x element-wise. | r1.2: Ascend => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.BroadcastTo | Changed | Broadcasts input tensor to a given shape. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.ScatterMin | Changed | Updates the value of the input tensor through the minimum operation. | r1.2: Ascend => r1.3: Ascend/CPU | operations--Array Operators |
| mindspore.ops.Identity | Changed | Returns a Tensor with the same shape and contents as input. | r1.2: Ascend => r1.3: Ascend/CPU/GPU | operations--Array Operators |
| mindspore.ops.TensorScatterUpdate | Changed | Creates a new tensor by updating the positions in input_x indicicated by indices , with values from update . | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.ScatterMax | Changed | Updates the value of the input tensor through the maximum operation. | r1.2: Ascend => r1.3: Ascend/CPU | operations--Array Operators |
| mindspore.ops.ScatterMul | Changed | Updates the value of the input tensor through the multiply operation. | r1.2: Ascend => r1.3: Ascend/CPU | operations--Array Operators |
| mindspore.ops.ReverseSequence | Changed | Reverses variable length slices. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Array Operators |
| mindspore.ops.SpaceToDepth | Changed | Rearranges blocks of spatial data into depth. | r1.2: Ascend => r1.3: Ascend/GPU/CPU | operations--Array Operators |
| mindspore.ops.Sort | Changed | Sorts the elements of the input tensor along a given dimension in ascending order by value. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Array Operators |
| mindspore.ops.CropAndResize | Changed | Extracts crops from the input image tensor and resizes them. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Image Operators |
| mindspore.ops.IsNan | Changed | Determines which elements are NaN for each position. | r1.2: GPU => r1.3: GPU/CPU | operations--Math Operators |
| mindspore.ops.CumProd | Changed | Computes the cumulative product of the tensor x along axis. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Math Operators |
| mindspore.ops.Sign | Changed | Performs sign on the tensor element-wise. | r1.2: Ascend/CPU => r1.3: Ascend/CPU/GPU | operations--Math Operators |
| mindspore.ops.Round | Changed | Returns half to even of a tensor element-wise. | r1.2: Ascend => r1.3: Ascend/GPU/CPU | operations--Math Operators |
| mindspore.ops.Mod | Changed | Computes the remainder of dividing the first input tensor by the second input tensor element-wise. | r1.2: Ascend/CPU => r1.3: Ascend/GPU/CPU | operations--Math Operators |
| mindspore.ops.SGD | Changed | Computes the stochastic gradient descent. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Neural Network Operators |
| mindspore.ops.BCEWithLogitsLoss | Changed | Adds sigmoid activation function to input predict , and uses the given logits to compute binary cross entropy between the target and the output. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.FloorMod | Changed | Computes the remainder of division element-wise. | r1.2: Ascend => r1.3: Ascend/GPU/CPU | operations--Neural Network Operators |
| mindspore.ops.L2Normalize | Changed | L2 Normalization Operator. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Neural Network Operators |
| mindspore.ops.PReLU | Changed | Parametric Rectified Linear Unit activation function. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.BatchNorm | Changed | Batch Normalization for input data and updated parameters. | r1.2: Ascend/CPU => r1.3: Ascend/CPU/GPU | operations--Neural Network Operators |
| mindspore.ops.Dropout3D | Changed | During training, randomly zeroes some of the channels of the input tensor with probability 1- keep_prob from a Bernoulli distribution. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.Conv3D | Changed | 3D convolution layer. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.NLLLoss | Changed | Gets the negative log likelihood loss between logits and labels. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.ResizeBilinear | Changed | Resizes an image to a certain size using the bilinear interpolation. | r1.2: Ascend/CPU => r1.3: Ascend/CPU/GPU | operations--Neural Network Operators |
| mindspore.ops.InTopK | Changed | Determines whether the targets are in the top k predictions. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Other Operators |
| mindspore.ops.IOU | Changed | Calculates intersection over union for boxes. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Other Operators |
| mindspore.ops.Erf | Changed | Computes the Gauss error function of x element-wise. | r1.2: Ascend => r1.3: Ascend/GPU | operations--Math Operators |
| mindspore.ops.Eps | Changed | Creates a tensor filled with x dtype minimum value. | r1.2: Ascend/GPU => r1.3: Ascend/GPU/CPU | operations--Math Operators |
| mindspore.ops.Atan2 | Changed | Returns arctangent of x/y element-wise. | r1.2: Ascend/CPU => r1.3: Ascend/CPU/GPU | operations--Math Operators |
| mindspore.ops.ApplyGradientDescent | Changed | Updates relevant entries according to the following. Ascend | r1.2: Ascend => r1.3: Ascend/GPU | operations--Neural Network Operators |
| mindspore.ops.Add | Changed | Adds two input tensors element-wise. | Ascend/GPU/CPU | operations--r1.2: Math Operators => r1.3: functional |
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