Functions
Node	einsum (List[Node] inputs, str equation)
	Return a node which performs Einsum operation. More...

Node	gelu (Node data, str approximation_mode, Optional[str] name=None)
	Return a node which performs Gelu activation function. More...

Node	roll (NodeInput data, NodeInput shift, NodeInput axes)
	Return a node which performs Roll operation. More...

Node	gather (NodeInput data, NodeInput indices, NodeInput axis, Optional[int] batch_dims=0)
	Return a node which performs Gather. More...

Node	dft (NodeInput data, NodeInput axes, Optional[NodeInput] signal_size=None)
	Return a node which performs DFT operation. More...

Node	idft (NodeInput data, NodeInput axes, Optional[NodeInput] signal_size=None)
	Return a node which performs IDFT operation. More...

Function Documentation

◆ dft()

Node ngraph.opset7.ops.dft	(	NodeInput	data,
		NodeInput	axes,
		Optional[NodeInput]	signal_size = `None`
	)

Return a node which performs DFT operation.

@param data: Tensor with transformed data.
@param axes: Tensor with axes to transform.
@param signal_size: Tensor specifying signal size with respect to axes from the input 'axes'.
@return: The new node which performs DFT operation on the input data tensor.

◆ einsum()

Node ngraph.opset7.ops.einsum	(	List[Node]	inputs,
		str	equation
	)

Return a node which performs Einsum operation.

@param inputs: The list of input nodes
@param equation: Einsum equation
@return: The new node performing Einsum operation on the inputs

◆ gather()

Node ngraph.opset7.ops.gather	(	NodeInput	data,
		NodeInput	indices,
		NodeInput	axis,
		Optional[int]	batch_dims = `0`
	)

Return a node which performs Gather.

@param data:         N-D tensor with data for gathering
@param indices:      N-D tensor with indices by which data is gathered
@param axis:         axis along which elements are gathered
@param batch_dims:   number of batch dimensions
@return:             The new node which performs Gather

◆ gelu()

Node ngraph.opset7.ops.gelu	(	Node	data,
		str	approximation_mode,
		Optional[str]	name = `None`
	)

Return a node which performs Gelu activation function.

@param data: The node with data tensor.
@param approximation_mode: defines which approximation to use ('tanh' or 'erf')
@param name: Optional output node name.
@return The new node performing a Gelu activation with the input tensor.

◆ idft()

Node ngraph.opset7.ops.idft	(	NodeInput	data,
		NodeInput	axes,
		Optional[NodeInput]	signal_size = `None`
	)

Return a node which performs IDFT operation.

@param data: Tensor with transformed data.
@param axes: Tensor with axes to transform.
@param signal_size: Tensor specifying signal size with respect to axes from the input 'axes'.
@return: The new node which performs IDFT operation on the input data tensor.

◆ roll()

Node ngraph.opset7.ops.roll	(	NodeInput	data,
		NodeInput	shift,
		NodeInput	axes
	)

Return a node which performs Roll operation.

@param data: The node with data tensor.
@param shift: The node with the tensor with numbers of places by which elements are shifted.
@param axes: The node with the tensor with axes along which elements are shifted.
@return The new node performing a Roll operation on the input tensor.