ngraph.opset5.ops

Factory functions for all ngraph ops.

Module Attributes

Functions

as_node(input_value)	Return input values as nodes.
as_nodes(*input_values)	Return input values as nodes.
assert_list_of_ints(value_list, message)	Verify that the provided value is an iterable of integers.
batch_norm_inference(data, gamma, beta, …)	Perform layer normalizes a input tensor by mean and variance with appling scale and offset.
binary_op(node_factory_function)	Convert the first two input values to Constant Nodes if numeric values are detected.
check_valid_attributes(op_name, attributes, …)	Perform attributes validation according to specified type, value criteria.
gather_nd(data, indices[, batch_dims, name])	Return a node which performs GatherND.
get_dtype(ngraph_type)	Return a numpy.dtype for an ngraph element type.
get_element_type(data_type)	Return an ngraph element type for a Python type or numpy.dtype.
get_element_type_str(data_type)	Return an ngraph element type string representation for a Python type or numpy dtype.
gru_sequence(X, initial_hidden_state, …[, …])	Return a node which performs GRUSequence operation.
hsigmoid(data[, name])	Return a node which performs HSigmoid.
is_non_negative_value(x)	Determine whether the specified x is non-negative value.
is_positive_value(x)	Determine whether the specified x is positive value.
log_softmax(data, axis[, name])	Apply LogSoftmax operation on each element of input tensor.
loop(trip_count, execution_condition, …[, …])	Perform recurrent execution of the network described in the body, iterating through the data.
lstm_sequence(X, initial_hidden_state, …)	Return a node which performs LSTMSequence operation.
make_constant_node(value[, dtype])	Return an ngraph Constant node with the specified value.
nameable_op(node_factory_function)	Set the name to the ngraph operator returned by the wrapped function.
non_max_suppression(boxes, scores[, …])	Return a node which performs NonMaxSuppression.
rnn_sequence(X, initial_hidden_state, …[, …])	Return a node which performs RNNSequence operation.
round(data[, mode, name])	Apply Round operation on each element of input tensor.
unary_op(node_factory_function)	Convert the first input value to a Constant Node if a numeric value is detected.

Classes

Constant	ngraph.impl.op.Constant wraps ngraph::op::Constant
GraphBody(parameters, results)	Class containing graph parameters and results.
Node	ngraph.impl.Node wraps ngraph::Node
NodeFactory(opset_version)	Factory front-end to create node objects.
Parameter	ngraph.impl.op.Parameter wraps ngraph::op::Parameter
Shape	ngraph.impl.Shape wraps ngraph::Shape
TensorIteratorBodyOutputDesc(body_value_idx, …)	Represents an output from a specific iteration.
TensorIteratorConcatOutputDesc(…)	Represents an output produced by concatenation of output from each iteration.
TensorIteratorInvariantInputDesc(input_idx, …)	Represents a TensorIterator graph body input that has invariant value during iteration.
TensorIteratorMergedInputDesc(input_idx, …)	Represents a TensorIterator graph body input with initial value in the first iteration.
TensorIteratorSliceInputDesc(input_idx, …)	Represents a TensorIterator graph body input formed from slices of TensorIterator input.
partial	partial(func, *args, **keywords) - new function with partial application of the given arguments and keywords.

Exceptions

Modules

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