openvino.runtime.opset7#
Functions
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Return node which applies f(x) = abs(x) to the input node element-wise. |
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Return node which applies f(x) = abs(x) to the input node element-wise. |
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Apply inverse cosine function on the input node element-wise. |
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Apply hyperbolic inverse cosine function on the input node element-wise. |
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Return node which applies f(A,B) = A+B to the input nodes element-wise. |
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Apply inverse sine function on the input node element-wise. |
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Apply hyperbolic inverse sinus function on the input node element-wise. |
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Apply inverse tangent function on the input node element-wise. |
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Apply hyperbolic inverse tangent function on the input node element-wise. |
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Return average pooling node. |
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Perform layer normalizes a input tensor by mean and variance with appling scale and offset. |
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Perform BatchToSpace operation on the input tensor. |
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Create node performing convolution with binary weights, binary input and integer output. |
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Create a node which broadcasts the input node's values along specified axes to a desired shape. |
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Return a node which produces the Bucketize operation. |
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Return node which applies ceiling to the input node element-wise. |
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Return node which applies ceiling to the input node element-wise. |
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Perform clamp element-wise on data from input node. |
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Concatenate input nodes into single new node along specified axis. |
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Create a Constant node from provided value. |
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Return node which casts input node values to specified type. |
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Return node which casts data node values to the type of another node. |
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Return node performing batched convolution operation. |
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Create node performing a batched-convolution backprop data operation. |
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Apply cosine function on the input node element-wise. |
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Apply hyperbolic cosine function on the input node element-wise. |
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Perform greedy decoding on the logits given in input (best path). |
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Return a node which performs CTCGreedyDecoderSeqLen. |
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Return a node which performs CTCLoss. |
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Construct a cumulative summation operation. |
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Construct a cumulative summation operation. |
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Create node performing deformable convolution. |
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Return node performing DeformablePSROIPooling operation. |
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Rearranges input tensor from depth into blocks of spatial data. |
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Generate the detection output using information on location and confidence predictions. |
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Return a node which performs DFT operation. |
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Return node which applies f(x) = A/B to the input nodes element-wise. |
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Return a node which performs Einsum operation. |
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Perform Exponential Linear Unit operation element-wise on data from input node. |
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Return a node which performs sums of bags of embeddings without the intermediate embeddings. |
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Return an EmbeddingBagPackedSum node. |
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Return an EmbeddingSegmentsSum node. |
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Return node which checks if input nodes are equal element-wise. |
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Return node which calculates Gauss error function element-wise with given tensor. |
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Return node which applies exponential function to the input node element-wise. |
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Return a node which produces the ExtractImagePatches operation. |
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Perform an element-wise linear quantization on input data. |
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Return node which applies floor to the input node element-wise. |
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Return node performing element-wise FloorMod (division reminder) with two given tensors. |
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Return a node which performs Gather. |
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Return a node which performs GatherElements. |
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Return a node which performs GatherND. |
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Perform GatherTree operation. |
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Return a node which performs Gelu activation function. |
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Return node which checks if left input node is greater than the right node element-wise. |
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Return node which checks if left node is greater or equal to the right node element-wise. |
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Perform Global Response Normalization with L2 norm (across channels only). |
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Perform Group Convolution operation on data from input node. |
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Perform Group Convolution operation on data from input node. |
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Perform GRUCell operation on the tensor from input node. |
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Return a node which performs GRUSequence operation. |
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Perform Hard Sigmoid operation element-wise on data from input node. |
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Return a node which performs HSigmoid. |
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Return a node which performs HSwish (hard version of Swish). |
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Return a node which performs IDFT operation. |
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Perform interpolation of independent slices in input tensor. |
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Return node which checks if left input node is less than the right node element-wise. |
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Return node which checks if left input node is less or equal the right node element-wise. |
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Return node which applies natural logarithm to the input node element-wise. |
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Apply LogSoftmax operation on each element of input tensor. |
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Return node which perform logical and operation on input nodes element-wise. |
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Return node which applies element-wise logical negation to the input node. |
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Return node which performs logical OR operation on input nodes element-wise. |
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Return node which performs logical XOR operation on input nodes element-wise. |
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Return a node which performs element-wise Local Response Normalization (LRN) operation. |
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Return a node which performs LSTMCell operation. |
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Return a node which performs LSTMSequence operation. |
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Return the Matrix Multiplication operation. |
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Perform max pooling operation with given parameters on provided data. |
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Return node which applies the maximum operation to input nodes elementwise. |
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Return node which applies the minimum operation to input nodes elementwise. |
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Return a node which performs Mish. |
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Return node performing element-wise division reminder with two given tensors. |
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Return node which applies f(A,B) = A*B to the input nodes elementwise. |
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Return a node which performs MeanVarianceNormalization (MVN). |
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Return node which applies f(x) = -x to the input node elementwise. |
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Return a node which performs NonMaxSuppression. |
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Return the indices of the elements that are non-zero. |
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Construct an NormalizeL2 operation. |
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Return node which checks if input nodes are unequal element-wise. |
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Create node performing one-hot encoding on input data. |
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Return a generic padding operation. |
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Return an openvino Parameter object. |
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Return node which perform element-wise exponentiation operation. |
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Perform Parametrized Relu operation element-wise on data from input node. |
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Generate prior boxes of specified sizes and aspect ratios across all dimensions. |
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Generate prior boxes of specified sizes normalized to the input image size. |
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Filter bounding boxes and outputs only those with the highest prediction confidence. |
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Return a node which produces a PSROIPooling operation. |
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Return a node which produces the Range operation. |
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L1-reduction operation on input tensor, eliminating the specified reduction axes. |
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L2-reduction operation on input tensor, eliminating the specified reduction axes. |
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Logical AND reduction operation on input tensor, eliminating the specified reduction axes. |
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Logical OR reduction operation on input tensor, eliminating the specified reduction axes. |
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Max-reduction operation on input tensor, eliminating the specified reduction axes. |
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Mean-reduction operation on input tensor, eliminating the specified reduction axes. |
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Min-reduction operation on input tensor, eliminating the specified reduction axes. |
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Product-reduction operation on input tensor, eliminating the specified reduction axes. |
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Perform element-wise sums of the input tensor, eliminating the specified reduction axes. |
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Return a node which produces the RegionYolo operation. |
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Perform rectified linear unit operation on input node element-wise. |
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Return a node which produces the ReorgYolo operation. |
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Return reshaped node according to provided parameters. |
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Return a node which represents an output of a graph (Model). |
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Return a node which produces a ReverseSequence operation. |
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Perform RNNCell operation on tensor from input node. |
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Return a node which performs RNNSequence operation. |
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Return a node which performs ROIAlign. |
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Return a node which produces an ROIPooling operation. |
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Return a node which performs Roll operation. |
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Apply Round operation on each element of input tensor. |
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Return a node which produces a ScatterElementsUpdate operation. |
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Return a node which performs ScatterNDUpdate. |
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Return a node which produces a ScatterUpdate operation. |
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Perform an element-wise selection operation on input tensors. |
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Perform a Scaled Exponential Linear Unit (SELU) operation on input node element-wise. |
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Return a node which produces a tensor containing the shape of its input data. |
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Perform permutation on data in the channel dimension of the input tensor. |
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Return a node which applies the sigmoid function element-wise. |
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Perform element-wise sign operation. |
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Apply sine function on the input node element-wise. |
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Apply hyperbolic sine function on the input node element-wise. |
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Apply softmax operation on each element of input tensor. |
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Apply SoftPlus operation on each element of input tensor. |
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Perform SpaceToBatch operation on the input tensor. |
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Perform SpaceToDepth operation on the input tensor. |
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Return a node which splits the input tensor into same-length slices. |
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Return node which applies square root to the input node element-wise. |
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Perform an element-wise squared difference between two tensors. |
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Perform squeeze operation on input tensor. |
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Return a node which dynamically repeats(replicates) the input data tensor. |
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Return node which applies f(x) = A-B to the input nodes element-wise. |
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Return a node which performing Swish activation function Swish(x, beta=1.0) = x * sigmoid(x * beta)). |
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Apply tangent function on the input node element-wise. |
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Return node which applies hyperbolic tangent to the input node element-wise. |
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Return a node which dynamically repeats(replicates) the input data tensor. |
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Return a node which performs TopK. |
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Return a node which transposes the data in the input tensor. |
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Perform unsqueeze operation on input tensor. |
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Return a node which splits the input tensor into variadic length slices. |
Classes
openvino.runtime.op.assign wraps ov::op::v6::Assign |
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openvino.impl.op.Loop wraps ov::op::v0::Loop |
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openvino.impl.op.TensorIterator wraps ov::op::v0::TensorIterator |