ngraph.opset1.ops¶
Factory functions for all ngraph ops.
Module Attributes
Functions
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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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Return node which applies f(x) = A+B to the input nodes element-wise. |
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Return input values as nodes. |
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Return input values as nodes. |
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Apply inverse sine 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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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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Create node performing convolution with binary weights, binary input and integer output. |
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Convert the first two input values to Constant Nodes if numeric values are detected. |
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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 node which applies ceiling to the input node element-wise. |
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Perform attributes validation according to specified type, value criteria. |
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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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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 node which applies f(x) = A/B to the input nodes element-wise. |
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Perform Exponential Linear Unit operation element-wise on data from input 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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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 Gather node which takes slices from axis of data according to indices. |
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Perform GatherTree operation. |
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Return a numpy.dtype for an ngraph element type. |
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Return an ngraph element type for a Python type or numpy.dtype. |
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Return an ngraph element type string representation for a Python type or numpy dtype. |
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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 Hard Sigmoid operation element-wise on data from input node. |
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Perform interpolation of independent slices in input tensor. |
Determine whether the specified x is non-negative value. |
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Determine whether the specified x is positive value. |
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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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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 an ngraph Constant node with the specified value. |
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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 node performing element-wise division reminder with two given tensors. |
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Return node which applies f(x) = A*B to the input nodes elementwise. |
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Set the name to the ngraph operator returned by the wrapped function. |
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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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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 ngraph 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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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 reshaped node according to provided parameters. |
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Return a node which represents an output of a graph (Function). |
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Return a node which produces a ReverseSequence 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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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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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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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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Perform recurrent execution of the network described in the body, iterating through the data. |
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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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Convert the first input value to a Constant Node if a numeric value is detected. |
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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
ngraph.impl.op.Constant wraps ngraph::op::Constant |
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Class containing graph parameters and results. |
ngraph.impl.Node wraps ngraph::Node |
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Factory front-end to create node objects. |
ngraph.impl.op.Parameter wraps ngraph::op::Parameter |
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ngraph.impl.PartialShape wraps ngraph::PartialShape |
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ngraph.impl.Shape wraps ngraph::Shape |
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Represents an output from a specific iteration. |
Represents an output produced by concatenation of output from each iteration. |
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Represents a TensorIterator graph body input that has invariant value during iteration. |
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Represents a TensorIterator graph body input with initial value in the first iteration. |
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Represents a TensorIterator graph body input formed from slices of TensorIterator input. |
partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords. |
Exceptions
Modules