GraphDynamicEnqueueTPUEmbeddingRaggedTensorBatch Method

public Operation DynamicEnqueueTPUEmbeddingRaggedTensorBatch(
	Output sample_splits,
	Output embedding_indices,
	Output aggregation_weights,
	Output mode_override,
	Output device_ordinal,
	long[] table_ids,
	string[] combiners = null,
	long[] max_sequence_lengths = null,
	long[] num_features = null,
	string opName = "DynamicEnqueueTPUEmbeddingRaggedTensorBatch"
)

Public Function DynamicEnqueueTPUEmbeddingRaggedTensorBatch ( 
	sample_splits As Output,
	embedding_indices As Output,
	aggregation_weights As Output,
	mode_override As Output,
	device_ordinal As Output,
	table_ids As Long(),
	Optional combiners As String() = Nothing,
	Optional max_sequence_lengths As Long() = Nothing,
	Optional num_features As Long() = Nothing,
	Optional opName As String = "DynamicEnqueueTPUEmbeddingRaggedTensorBatch"
) As Operation

public:
Operation^ DynamicEnqueueTPUEmbeddingRaggedTensorBatch(
	Output^ sample_splits, 
	Output^ embedding_indices, 
	Output^ aggregation_weights, 
	Output^ mode_override, 
	Output^ device_ordinal, 
	array<long long>^ table_ids, 
	array<String^>^ combiners = nullptr, 
	array<long long>^ max_sequence_lengths = nullptr, 
	array<long long>^ num_features = nullptr, 
	String^ opName = L"DynamicEnqueueTPUEmbeddingRaggedTensorBatch"
)

member DynamicEnqueueTPUEmbeddingRaggedTensorBatch : 
        sample_splits : Output * 
        embedding_indices : Output * 
        aggregation_weights : Output * 
        mode_override : Output * 
        device_ordinal : Output * 
        table_ids : int64[] * 
        ?combiners : string[] * 
        ?max_sequence_lengths : int64[] * 
        ?num_features : int64[] * 
        ?opName : string 
(* Defaults:
        let _combiners = defaultArg combiners null
        let _max_sequence_lengths = defaultArg max_sequence_lengths null
        let _num_features = defaultArg num_features null
        let _opName = defaultArg opName "DynamicEnqueueTPUEmbeddingRaggedTensorBatch"
*)
-> Operation