GraphXlaSparseDenseMatmulWithCsrInput Method

public Operation XlaSparseDenseMatmulWithCsrInput(
	Output row_pointers,
	Output sorted_sample_ids,
	Output sorted_token_ids,
	Output sorted_gains,
	Output embedding_table,
	Output num_minibatches_per_physical_sparse_core,
	long input_size,
	float quantization_config_low,
	float quantization_config_high,
	long quantization_config_num_buckets,
	string table_name,
	string opName = "XlaSparseDenseMatmulWithCsrInput"
)

Public Function XlaSparseDenseMatmulWithCsrInput ( 
	row_pointers As Output,
	sorted_sample_ids As Output,
	sorted_token_ids As Output,
	sorted_gains As Output,
	embedding_table As Output,
	num_minibatches_per_physical_sparse_core As Output,
	input_size As Long,
	quantization_config_low As Single,
	quantization_config_high As Single,
	quantization_config_num_buckets As Long,
	table_name As String,
	Optional opName As String = "XlaSparseDenseMatmulWithCsrInput"
) As Operation

public:
Operation^ XlaSparseDenseMatmulWithCsrInput(
	Output^ row_pointers, 
	Output^ sorted_sample_ids, 
	Output^ sorted_token_ids, 
	Output^ sorted_gains, 
	Output^ embedding_table, 
	Output^ num_minibatches_per_physical_sparse_core, 
	long long input_size, 
	float quantization_config_low, 
	float quantization_config_high, 
	long long quantization_config_num_buckets, 
	String^ table_name, 
	String^ opName = L"XlaSparseDenseMatmulWithCsrInput"
)

member XlaSparseDenseMatmulWithCsrInput : 
        row_pointers : Output * 
        sorted_sample_ids : Output * 
        sorted_token_ids : Output * 
        sorted_gains : Output * 
        embedding_table : Output * 
        num_minibatches_per_physical_sparse_core : Output * 
        input_size : int64 * 
        quantization_config_low : float32 * 
        quantization_config_high : float32 * 
        quantization_config_num_buckets : int64 * 
        table_name : string * 
        ?opName : string 
(* Defaults:
        let _opName = defaultArg opName "XlaSparseDenseMatmulWithCsrInput"
*)
-> Operation