package tensorflow

  1. Overview
  2. Docs
module Op_names : sig ... end
val abort : ?name:string -> ?error_msg:string -> ?exit_without_error:bool -> ?control_inputs:Node.p list -> unit -> [ `unit ] Node.t
val abs : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val accumulatorApplyGradient : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.t -> [ `unit ] Node.t
val accumulatorNumAccumulated : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t
val accumulatorSetGlobalStep : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t -> [ `unit ] Node.t
val accumulatorTakeGradient : ?name:string -> type_: [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.t
val acos : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val add : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 | `string ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 | `string ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 | `string ] as 't Node.t
val addManySparseToTensorsMap : ?name:string -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t
val addN : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val addSparseToTensorsMap : ?name:string -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t
val adjustContrast : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val adjustContrastv2 : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val adjustHue : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val adjustSaturation : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val all : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `bool ] Node.t
val allCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val any : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `bool ] Node.t
val applyAdadelta : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyAdagrad : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyAdagradDA : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyAdam : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyCenteredRMSProp : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyFtrl : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyGradientDescent : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyMomentum : ?name:string -> ?use_locking:bool -> ?use_nesterov:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyProximalAdagrad : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyProximalGradientDescent : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val applyRMSProp : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val argMax : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int64 ] Node.t
val argMin : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int64 ] Node.t
val asString : ?name:string -> ?precision:int -> ?scientific:bool -> ?shortest:bool -> ?width:int -> ?fill:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `complex64 | `float | `double | `bool ] as 't Node.t -> [ `string ] Node.t
val asin : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val assign : ?name:string -> ?validate_shape:bool -> ?use_locking:bool -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t -> 't Node.t
val assignAdd : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val assignSub : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val atan : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val audioSummary : ?name:string -> sample_rate:float -> ?max_outputs:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `string ] Node.t
val audioSummaryV2 : ?name:string -> ?max_outputs:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `string ] Node.t
val avgPool : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val avgPool3D : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val avgPool3DGrad : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val avgPoolGrad : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val barrier : ?name:string -> component_types:Node.Type.p list -> ?shapes:Node.Dim.t list list -> ?capacity:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val barrierClose : ?name:string -> ?cancel_pending_enqueues:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val barrierIncompleteSize : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t
val barrierInsertMany : ?name:string -> component_index:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> 't Node.t -> [ `unit ] Node.t
val barrierReadySize : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t
val batchCholesky : ?name:string -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val batchCholeskyGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val batchFFT : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchFFT2D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchFFT3D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchIFFT : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchIFFT2D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchIFFT3D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val batchMatMul : ?name:string -> ?adj_x:bool -> ?adj_y:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `complex64 ] as 't Node.t
val batchMatrixBandPart : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> 't Node.t
val batchMatrixDeterminant : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val batchMatrixDiag : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val batchMatrixDiagPart : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val batchMatrixInverse : ?name:string -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val batchMatrixSetDiag : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t -> 't Node.t
val batchMatrixSolve : ?name:string -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val batchMatrixSolveLs : ?name:string -> ?fast:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t -> [ `double ] Node.t -> [< `double | `float ] as 't Node.t
val batchMatrixTriangularSolve : ?name:string -> ?lower:bool -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val batchNormWithGlobalNormalization : ?name:string -> variance_epsilon:float -> scale_after_normalization:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val batchNormWithGlobalNormalizationGrad : ?name:string -> variance_epsilon:float -> scale_after_normalization:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val batchSelfAdjointEig : ?name:string -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val batchSelfAdjointEigV2 : ?name:string -> ?compute_v:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t * [< `double | `float ] as 't Node.t
val batchSvd : ?name:string -> ?compute_uv:bool -> ?full_matrices:bool -> ?control_inputs:Node.p list -> [< `double | `float | `complex64 ] as 't Node.t -> [< `double | `float | `complex64 ] as 't Node.t * [< `double | `float | `complex64 ] as 't Node.t * [< `double | `float | `complex64 ] as 't Node.t
val batchToSpace : ?name:string -> block_size:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> 't Node.t
val batchToSpaceND : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tblock_shape Node.t -> [< `int32 | `int64 ] as 'tcrops Node.t -> 't Node.t
val betainc : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val biasAdd : ?name:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val biasAddGrad : ?name:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val biasAddV1 : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val bitcast : ?name:string -> type_: [< `float | `double | `int64 | `int32 | `complex64 ] as 'type__ Node.Type.t -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 'type__ Node.t
val broadcastArgs : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t
val broadcastGradientArgs : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t * [< `int32 | `int64 ] as 't Node.t
val cTCGreedyDecoder : ?name:string -> ?merge_repeated:bool -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `int64 ] Node.t * [ `int64 ] Node.t * [ `int64 ] Node.t * [ `float ] Node.t
val cTCLoss : ?name:string -> ?preprocess_collapse_repeated:bool -> ?ctc_merge_repeated:bool -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `int64 ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t * [ `float ] Node.t
val cast : ?name:string -> type_:'dstT Node.Type.t -> ?control_inputs:Node.p list -> 'srcT Node.t -> 'dstT Node.t
val ceil : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val checkNumerics : ?name:string -> message:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val cholesky : ?name:string -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val choleskyGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val complex : ?name:string -> type_:[< `complex64 ] as 'tout Node.Type.t -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `complex64 ] as 'tout Node.t
val complexAbs : ?name:string -> type_:[< `float | `double ] as 'tout Node.Type.t -> ?control_inputs:Node.p list -> [< `complex64 ] as 't Node.t -> [< `float | `double ] as 'tout Node.t
val computeAccidentalHits : ?name:string -> num_true:int -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [ `int32 ] Node.t * [ `int64 ] Node.t * [ `float ] Node.t
val concat : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> 't Node.t list -> 't Node.t
val concatOffset : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [ `int32 ] Node.t list -> [ `int32 ] Node.t list
val concatV2 : ?name:string -> ?control_inputs:Node.p list -> 't Node.t list -> [< `int32 | `int64 ] as 'tidx Node.t -> 't Node.t
val conditionalAccumulator : ?name:string -> shape:Node.Dim.t list -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val conj : ?name:string -> ?control_inputs:Node.p list -> [< `complex64 ] as 't Node.t -> [< `complex64 ] as 't Node.t
val controlTrigger : ?name:string -> ?control_inputs:Node.p list -> unit -> [ `unit ] Node.t
val conv2D : ?name:string -> strides:int list -> ?use_cudnn_on_gpu:bool -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val conv2DBackpropFilter : ?name:string -> strides:int list -> ?use_cudnn_on_gpu:bool -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val conv2DBackpropInput : ?name:string -> strides:int list -> ?use_cudnn_on_gpu:bool -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val conv3D : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val conv3DBackpropFilter : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val conv3DBackpropFilterV2 : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val conv3DBackpropInput : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val conv3DBackpropInputV2 : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val copy : ?name:string -> ?tensor_name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val copyHost : ?name:string -> ?tensor_name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val cos : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val countUpTo : ?name:string -> limit:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t
val cropAndResize : ?name:string -> ?method_:string -> ?extrapolation_value:float -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t
val cropAndResizeGradBoxes : ?name:string -> ?method_:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t
val cropAndResizeGradImage : ?name:string -> type_:[< `float | `double ] as 't Node.Type.t -> ?method_:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t
val cross : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val cumprod : ?name:string -> ?exclusive:bool -> ?reverse:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val cumsum : ?name:string -> ?exclusive:bool -> ?reverse:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val debugIdentity : ?name:string -> ?tensor_name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val debugNanCount : ?name:string -> ?tensor_name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `int64 ] Node.t
val debugNumericSummary : ?name:string -> ?tensor_name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `double ] Node.t
val decodeBase64 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val decodeJSONExample : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val decodePng : ?name:string -> type_:'dtype Node.Type.t -> ?channels:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'dtype Node.t
val decodeRaw : ?name:string -> type_:[< `float | `double | `int32 | `int64 ] as 'out_type Node.Type.t -> ?little_endian:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `float | `double | `int32 | `int64 ] as 'out_type Node.t
val deleteSessionTensor : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val denseToDenseSetOperation : ?name:string -> set_operation:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `string ] as 't Node.t -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t * [< `int32 | `int64 | `string ] as 't Node.t * [ `int64 ] Node.t
val denseToSparseSetOperation : ?name:string -> set_operation:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [< `int32 | `int64 | `string ] as 't Node.t * [ `int64 ] Node.t
val depthToSpace : ?name:string -> block_size:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val depthwiseConv2dNative : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val depthwiseConv2dNativeBackpropFilter : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val depthwiseConv2dNativeBackpropInput : ?name:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val dequantize : ?name:string -> ?mode:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val deserializeManySparse : ?name:string -> type_1:'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t * 'dtype Node.t * [ `int64 ] Node.t
val destroyTemporaryVariable : ?name:string -> var_name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val diag : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val diagPart : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val digamma : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val dilation2D : ?name:string -> strides:int list -> rates:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val dilation2DBackpropFilter : ?name:string -> strides:int list -> rates:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val dilation2DBackpropInput : ?name:string -> strides:int list -> rates:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val div : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val drawBoundingBoxes : ?name:string -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [ `float ] Node.t -> [< `float ] as 't Node.t
val dynamicPartition : ?name:string -> num_partitions:int -> ?control_inputs:Node.p list -> 't Node.t -> [ `int32 ] Node.t -> 't Node.t list
val dynamicStitch : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t list -> 't Node.t list -> 't Node.t
val editDistance : ?name:string -> ?normalize:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `float ] Node.t
val elu : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val eluGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val encodeBase64 : ?name:string -> ?pad:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val encodePng : ?name:string -> ?compression:int -> ?control_inputs:Node.p list -> 't Node.t -> [ `string ] Node.t
val enter : ?name:string -> frame_name:string -> ?is_constant:bool -> ?parallel_iterations:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val equal : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 | `string | `bool ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 | `string | `bool ] as 't Node.t -> [ `bool ] Node.t
val erf : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val erfc : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val exit : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val exp : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val expandDims : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tdim Node.t -> 't Node.t
val expm1 : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val extractGlimpse : ?name:string -> ?centered:bool -> ?normalized:bool -> ?uniform_noise:bool -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val extractImagePatches : ?name:string -> ksizes:int list -> strides:int list -> rates:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val fFT : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val fFT2D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val fFT3D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val fIFOQueue : ?name:string -> component_types:Node.Type.p list -> ?shapes:Node.Dim.t list list -> ?capacity:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val fact : ?name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val fakeQuantWithMinMaxArgs : ?name:string -> ?min:float -> ?max:float -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t
val fakeQuantWithMinMaxArgsGradient : ?name:string -> ?min:float -> ?max:float -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val fakeQuantWithMinMaxVars : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val fakeQuantWithMinMaxVarsGradient : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val fakeQuantWithMinMaxVarsPerChannel : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val fakeQuantWithMinMaxVarsPerChannelGradient : ?name:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val fill : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> 't Node.t -> 't Node.t
val fixedLengthRecordReader : ?name:string -> ?header_bytes:int -> record_bytes:int -> ?footer_bytes:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val fixedUnigramCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> range_max:int -> ?vocab_file:string -> ?distortion:float -> ?num_reserved_ids:int -> ?num_shards:int -> ?shard:int -> ?unigrams:float list -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val floor : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val floorDiv : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val floorMod : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t
val fractionalAvgPool : ?name:string -> pooling_ratio:float list -> ?pseudo_random:bool -> ?overlapping:bool -> ?deterministic:bool -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t * [ `int64 ] Node.t * [ `int64 ] Node.t
val fractionalAvgPoolGrad : ?name:string -> ?overlapping:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val fractionalMaxPool : ?name:string -> pooling_ratio:float list -> ?pseudo_random:bool -> ?overlapping:bool -> ?deterministic:bool -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t * [ `int64 ] Node.t * [ `int64 ] Node.t
val fractionalMaxPoolGrad : ?name:string -> ?overlapping:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val fusedBatchNorm : ?name:string -> ?epsilon:float -> ?data_format:string -> ?is_training:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val fusedBatchNormGrad : ?name:string -> ?epsilon:float -> ?data_format:string -> ?is_training:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val fusedPadConv2D : ?name:string -> mode:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val fusedResizeAndPadConv2D : ?name:string -> ?resize_align_corners:bool -> mode:string -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val gather : ?name:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> 'tparams Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 'tparams Node.t
val gatherNd : ?name:string -> ?control_inputs:Node.p list -> 'tparams Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 'tparams Node.t
val getSessionHandle : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `string ] Node.t
val getSessionTensor : ?name:string -> type_:'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'dtype Node.t
val greater : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `bool ] Node.t
val greaterEqual : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `bool ] Node.t
val hSVToRGB : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val hashTable : ?name:string -> ?container:string -> ?shared_name:string -> ?use_node_name_sharing:bool -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val histogramSummary : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `string ] Node.t
val iFFT : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val iFFT2D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val iFFT3D : ?name:string -> ?control_inputs:Node.p list -> [ `complex64 ] Node.t -> [ `complex64 ] Node.t
val identity : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val identityReader : ?name:string -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val igamma : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val igammac : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val imag : ?name:string -> type_:[< `float | `double ] as 'tout Node.Type.t -> ?control_inputs:Node.p list -> [< `complex64 ] as 't Node.t -> [< `float | `double ] as 'tout Node.t
val imageSummary : ?name:string -> ?max_images:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `float ] as 't Node.t -> [ `string ] Node.t
val immutableConst : ?name:string -> type_:'dtype Node.Type.t -> shape:Node.Dim.t list -> memory_region_name:string -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val inTopK : ?name:string -> k:int -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [< `int32 | `int64 ] as 't Node.t -> [ `bool ] Node.t
val initializeTable : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'tkey Node.t -> 'tval Node.t -> [ `unit ] Node.t
val initializeTableFromTextFile : ?name:string -> key_index:int -> value_index:int -> ?vocab_size:int -> ?delimiter:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `unit ] Node.t
val inv : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val invGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val invertPermutation : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t
val isFinite : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `bool ] Node.t
val isInf : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `bool ] Node.t
val isNan : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [ `bool ] Node.t
val isVariableInitialized : ?name:string -> ?control_inputs:Node.p list -> 'dtype Node.t -> [ `bool ] Node.t
val l2Loss : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val lRN : ?name:string -> ?depth_radius:int -> ?bias:float -> ?alpha:float -> ?beta:float -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t
val lRNGrad : ?name:string -> ?depth_radius:int -> ?bias:float -> ?alpha:float -> ?beta:float -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t
val learnedUnigramCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> range_max:int -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val less : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `bool ] Node.t
val lessEqual : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `bool ] Node.t
val lgamma : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val linSpace : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double ] as 't Node.t
val listDiff : ?name:string -> type_1:[< `int32 | `int64 ] as 'out_idx Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t -> 't Node.t * [< `int32 | `int64 ] as 'out_idx Node.t
val log : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val log1p : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val logSoftmax : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val logUniformCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> range_max:int -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val logicalAnd : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [ `bool ] Node.t -> [ `bool ] Node.t
val logicalNot : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [ `bool ] Node.t
val logicalOr : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [ `bool ] Node.t -> [ `bool ] Node.t
val lookupTableExport : ?name:string -> type_:'tkeys Node.Type.t -> type_1:'tvalues Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'tkeys Node.t * 'tvalues Node.t
val lookupTableFind : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'tin Node.t -> 'tout Node.t -> 'tout Node.t
val lookupTableImport : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'tin Node.t -> 'tout Node.t -> [ `unit ] Node.t
val lookupTableInsert : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'tin Node.t -> 'tout Node.t -> [ `unit ] Node.t
val lookupTableSize : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val loopCond : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [ `bool ] Node.t
val matMul : ?name:string -> ?transpose_a:bool -> ?transpose_b:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `complex64 ] as 't Node.t
val matchingFiles : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val matrixBandPart : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> 't Node.t
val matrixDeterminant : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val matrixDiag : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val matrixDiagPart : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val matrixInverse : ?name:string -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val matrixSetDiag : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t -> 't Node.t
val matrixSolve : ?name:string -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float | `complex64 ] as 't Node.t -> [< `double | `float | `complex64 ] as 't Node.t -> [< `double | `float | `complex64 ] as 't Node.t
val matrixSolveLs : ?name:string -> ?fast:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t -> [ `double ] Node.t -> [< `double | `float ] as 't Node.t
val matrixTriangularSolve : ?name:string -> ?lower:bool -> ?adjoint:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val max : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val maxPool : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t
val maxPool3D : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val maxPool3DGrad : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val maxPoolGrad : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?data_format:string -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t
val maxPoolGradWithArgmax : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t -> [< `int32 | `int64 ] as 'targmax Node.t -> [< `float ] as 't Node.t
val maxPoolWithArgmax : ?name:string -> type_1:[< `int32 | `int64 ] as 'targmax Node.Type.t -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> [< `float ] as 't Node.t -> [< `float ] as 't Node.t * [< `int32 | `int64 ] as 'targmax Node.t
val maximum : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val mean : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val merge : ?name:string -> ?control_inputs:Node.p list -> 't Node.t list -> 't Node.t * [ `int32 ] Node.t
val mergeSummary : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t list -> [ `string ] Node.t
val mergeV2Checkpoints : ?name:string -> ?delete_old_dirs:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `unit ] Node.t
val min : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val minimum : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val mirrorPad : ?name:string -> mode:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tpaddings Node.t -> 't Node.t
val mirrorPadGrad : ?name:string -> mode:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tpaddings Node.t -> 't Node.t
val mod_ : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t
val mul : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val multinomial : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int32 ] Node.t -> [ `int64 ] Node.t
val mutableDenseHashTable : ?name:string -> ?container:string -> ?shared_name:string -> ?use_node_name_sharing:bool -> ?value_shape:Node.Dim.t list -> ?initial_num_buckets:int -> ?max_load_factor:float -> ?control_inputs:Node.p list -> 'key_dtype Node.t -> [ `string ] Node.t
val mutableHashTable : ?name:string -> ?container:string -> ?shared_name:string -> ?use_node_name_sharing:bool -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val mutableHashTableOfTensors : ?name:string -> ?container:string -> ?shared_name:string -> ?use_node_name_sharing:bool -> ?value_shape:Node.Dim.t list -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val neg : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val negTrain : ?name:string -> vocab_count:int list -> num_negative_samples:int -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> [ `unit ] Node.t
val nextIteration : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val noOp : ?name:string -> ?control_inputs:Node.p list -> unit -> [ `unit ] Node.t
val nonMaxSuppression : ?name:string -> ?iou_threshold:float -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t
val notEqual : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 | `string | `bool ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 | `string | `bool ] as 't Node.t -> [ `bool ] Node.t
val oneHot : ?name:string -> ?axis:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 'tI Node.t -> [ `int32 ] Node.t -> 't Node.t -> 't Node.t -> 't Node.t
val pack : ?name:string -> ?axis:int -> ?control_inputs:Node.p list -> 't Node.t list -> 't Node.t
val pad : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tpaddings Node.t -> 't Node.t
val paddingFIFOQueue : ?name:string -> component_types:Node.Type.p list -> ?shapes:Node.Dim.t list list -> ?capacity:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val parallelConcat : ?name:string -> shape:Node.Dim.t list -> ?control_inputs:Node.p list -> 't Node.t list -> 't Node.t
val parameterizedTruncatedNormal : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `float | `double ] as 'dtype Node.t -> [< `float | `double ] as 'dtype Node.t -> [< `float | `double ] as 'dtype Node.t -> [< `float | `double ] as 'dtype Node.t -> [< `float | `double ] as 'dtype Node.t
val parseTensor : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'out_type Node.t
val placeholder : ?name:string -> type_:'dtype Node.Type.t -> ?shape:Node.Dim.t list -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val placeholderV2 : ?name:string -> type_:'dtype Node.Type.t -> shape:Node.Dim.t list -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val placeholderWithDefault : ?name:string -> shape:Node.Dim.t list -> ?control_inputs:Node.p list -> 'dtype Node.t -> 'dtype Node.t
val polygamma : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val pow : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val preventGradient : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val priorityQueue : ?name:string -> ?component_types:Node.Type.p list -> shapes:Node.Dim.t list list -> ?capacity:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val prod : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val qr : ?name:string -> ?full_matrices:bool -> ?control_inputs:Node.p list -> [< `double | `float | `complex64 ] as 't Node.t -> [< `double | `float | `complex64 ] as 't Node.t * [< `double | `float | `complex64 ] as 't Node.t
val quantizeAndDequantize : ?name:string -> ?signed_input:bool -> ?num_bits:int -> ?range_given:bool -> ?input_min:float -> ?input_max:float -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val quantizeDownAndShrinkRange : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizeV2 : ?name:string -> type_:'t Node.Type.t -> ?mode:string -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedAvgPool : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedBatchNormWithGlobalNormalization : ?name:string -> type_:'out_type Node.Type.t -> variance_epsilon:float -> scale_after_normalization:bool -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedBiasAdd : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 't1 Node.t -> 't2 Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedConcat : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> 't Node.t list -> [ `float ] Node.t list -> [ `float ] Node.t list -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedConv2D : ?name:string -> type_:'out_type Node.Type.t -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> 'tinput Node.t -> 'tfilter Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedInstanceNorm : ?name:string -> ?output_range_given:bool -> ?given_y_min:float -> ?given_y_max:float -> ?variance_epsilon:float -> ?min_separation:float -> ?control_inputs:Node.p list -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedMatMul : ?name:string -> type_:'toutput Node.Type.t -> ?transpose_a:bool -> ?transpose_b:bool -> ?control_inputs:Node.p list -> 't1 Node.t -> 't2 Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'toutput Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedMaxPool : ?name:string -> ksize:int list -> strides:int list -> padding:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedRelu : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedRelu6 : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedReluX : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val quantizedReshape : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tshape Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 't Node.t * [ `float ] Node.t * [ `float ] Node.t
val queueClose : ?name:string -> ?cancel_pending_enqueues:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val queueSize : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t
val rGBToHSV : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val randomCrop : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `int64 ] Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t
val randomGamma : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 's Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val randomShuffle : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val randomShuffleQueue : ?name:string -> component_types:Node.Type.p list -> ?shapes:Node.Dim.t list list -> ?capacity:int -> ?min_after_dequeue:int -> ?seed:int -> ?seed2:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val randomStandardNormal : ?name:string -> type_:[< `float | `double ] as 'dtype Node.Type.t -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `float | `double ] as 'dtype Node.t
val randomUniform : ?name:string -> type_:[< `float | `double ] as 'dtype Node.Type.t -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `float | `double ] as 'dtype Node.t
val randomUniformInt : ?name:string -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tout Node.t -> [< `int32 | `int64 ] as 'tout Node.t -> [< `int32 | `int64 ] as 'tout Node.t
val range : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int32 | `int64 ] as 'tidx Node.t
val rank : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `int32 ] Node.t
val readFile : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val readerNumRecordsProduced : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val readerNumWorkUnitsCompleted : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val readerRead : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `string ] Node.t * [ `string ] Node.t
val readerReadUpTo : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `int64 ] Node.t -> [ `string ] Node.t * [ `string ] Node.t
val readerReset : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val readerRestoreState : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `unit ] Node.t
val readerSerializeState : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t
val real : ?name:string -> type_:[< `float | `double ] as 'tout Node.Type.t -> ?control_inputs:Node.p list -> [< `complex64 ] as 't Node.t -> [< `float | `double ] as 'tout Node.t
val realDiv : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val reciprocal : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val reciprocalGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val reduceJoin : ?name:string -> ?keep_dims:bool -> ?separator:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `string ] Node.t
val refEnter : ?name:string -> frame_name:string -> ?is_constant:bool -> ?parallel_iterations:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val refExit : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val refIdentity : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val refMerge : ?name:string -> ?control_inputs:Node.p list -> 't Node.t list -> 't Node.t * [ `int32 ] Node.t
val refNextIteration : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val refSelect : ?name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> 't Node.t list -> 't Node.t
val refSwitch : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `bool ] Node.t -> 't Node.t * 't Node.t
val relu : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val relu6 : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val relu6Grad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val reluGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val requantizationRange : ?name:string -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t * [ `float ] Node.t
val requantize : ?name:string -> type_:'out_type Node.Type.t -> ?control_inputs:Node.p list -> 'tinput Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t -> 'out_type Node.t * [ `float ] Node.t * [ `float ] Node.t
val reshape : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tshape Node.t -> 't Node.t
val resizeArea : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t
val resizeBicubic : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t
val resizeBilinear : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t
val resizeBilinearGrad : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [ `float ] Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val resizeNearestNeighbor : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t
val resizeNearestNeighborGrad : ?name:string -> ?align_corners:bool -> ?control_inputs:Node.p list -> [< `int32 | `float | `double ] as 't Node.t -> [ `int32 ] Node.t -> [< `int32 | `float | `double ] as 't Node.t
val restore : ?name:string -> type_:'dt Node.Type.t -> ?preferred_shard:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> 'dt Node.t
val restoreSlice : ?name:string -> type_:'dt Node.Type.t -> ?preferred_shard:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `string ] Node.t -> 'dt Node.t
val reverse : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `bool | `float | `double | `complex64 ] as 't Node.t -> [ `bool ] Node.t -> [< `int32 | `int64 | `bool | `float | `double | `complex64 ] as 't Node.t
val reverseSequence : ?name:string -> seq_dim:int -> ?batch_dim:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tlen Node.t -> 't Node.t
val reverseV2 : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `bool | `float | `double | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `int32 | `int64 | `bool | `float | `double | `complex64 ] as 't Node.t
val rint : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val round : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val rsqrt : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val rsqrtGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val sampleDistortedBoundingBox : ?name:string -> ?seed:int -> ?seed2:int -> ?min_object_covered:float -> ?aspect_ratio_range:float list -> ?area_range:float list -> ?max_attempts:int -> ?use_image_if_no_bounding_boxes:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [ `float ] Node.t -> [< `int32 | `int64 ] as 't Node.t * [< `int32 | `int64 ] as 't Node.t * [ `float ] Node.t
val scalarSummary : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `string ] Node.t
val scatterAdd : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterDiv : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterMul : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterNd : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 'tindices Node.t -> 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 't Node.t
val scatterNdAdd : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterNdSub : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterNdUpdate : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 't Node.t -> 't Node.t
val scatterSub : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val scatterUpdate : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 't Node.t -> 't Node.t
val sdcaFprint : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val sdcaShrinkL1 : ?name:string -> l1:float -> l2:float -> ?control_inputs:Node.p list -> [ `float ] Node.t list -> [ `unit ] Node.t
val segmentMax : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val segmentMean : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val segmentMin : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val segmentProd : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val segmentSum : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val select : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> 't Node.t -> 't Node.t -> 't Node.t
val selfAdjointEig : ?name:string -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t
val selfAdjointEigV2 : ?name:string -> ?compute_v:bool -> ?control_inputs:Node.p list -> [< `double | `float ] as 't Node.t -> [< `double | `float ] as 't Node.t * [< `double | `float ] as 't Node.t
val serializeManySparse : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `string ] Node.t
val serializeSparse : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `string ] Node.t
val setSize : ?name:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t -> [ `int32 ] Node.t
val shape : ?name:string -> type_:[< `int32 | `int64 ] as 'out_type Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'out_type Node.t
val shapeN : ?name:string -> type_:[< `int32 | `int64 ] as 'out_type Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t list -> [< `int32 | `int64 ] as 'out_type Node.t list
val shardedFilename : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [ `string ] Node.t
val shardedFilespec : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `string ] Node.t
val sigmoid : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val sigmoidGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val sign : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val sin : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val size : ?name:string -> type_:[< `int32 | `int64 ] as 'out_type Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'out_type Node.t
val skipgram : ?name:string -> filename:string -> batch_size:int -> ?window_size:int -> ?min_count:int -> ?subsample:float -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t * [ `int32 ] Node.t * [ `int64 ] Node.t * [ `int32 ] Node.t * [ `int64 ] Node.t * [ `int32 ] Node.t * [ `int32 ] Node.t
val slice : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> 't Node.t
val softmax : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
val softmaxCrossEntropyWithLogits : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t * [< `float | `double ] as 't Node.t
val softplus : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val softplusGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val softsign : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val softsignGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val spaceToBatch : ?name:string -> block_size:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tpaddings Node.t -> 't Node.t
val spaceToBatchND : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tblock_shape Node.t -> [< `int32 | `int64 ] as 'tpaddings Node.t -> 't Node.t
val spaceToDepth : ?name:string -> block_size:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val sparseAccumulatorApplyGradient : ?name:string -> has_known_shape:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.t -> [ `int64 ] Node.t -> [ `unit ] Node.t
val sparseAccumulatorTakeGradient : ?name:string -> type_1: [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `int64 ] Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 'dtype Node.t * [ `int64 ] Node.t
val sparseAdd : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 'treal Node.t -> [ `int64 ] Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [ `int64 ] Node.t
val sparseAddGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyAdadelta : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyAdagrad : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyAdagradDA : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyCenteredRMSProp : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyFtrl : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyMomentum : ?name:string -> ?use_locking:bool -> ?use_nesterov:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyProximalAdagrad : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyProximalGradientDescent : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseApplyRMSProp : ?name:string -> ?use_locking:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseConcat : ?name:string -> concat_dim:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t list -> 't Node.t list -> [ `int64 ] Node.t list -> [ `int64 ] Node.t * 't Node.t * [ `int64 ] Node.t
val sparseConditionalAccumulator : ?name:string -> shape:Node.Dim.t list -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val sparseDenseCwiseAdd : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseDenseCwiseDiv : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseDenseCwiseMul : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseMatMul : ?name:string -> ?transpose_a:bool -> ?transpose_b:bool -> ?a_is_sparse:bool -> ?b_is_sparse:bool -> ?control_inputs:Node.p list -> [< `float ] as 'ta Node.t -> [< `float ] as 'tb Node.t -> [ `float ] Node.t
val sparseReduceSum : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseReduceSumSparse : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int32 ] Node.t -> [ `int64 ] Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t * [ `int64 ] Node.t
val sparseReorder : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * 't Node.t
val sparseReshape : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `int64 ] Node.t
val sparseSegmentMean : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t
val sparseSegmentMeanGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t
val sparseSegmentSqrtN : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t
val sparseSegmentSqrtNGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int32 ] Node.t -> [ `int32 ] Node.t -> [< `float | `double ] as 't Node.t
val sparseSegmentSum : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t
val sparseSoftmax : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double ] as 't Node.t -> [ `int64 ] Node.t -> [< `float | `double ] as 't Node.t
val sparseSoftmaxCrossEntropyWithLogits : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `int32 | `int64 ] as 'tlabels Node.t -> [< `float | `double ] as 't Node.t * [< `float | `double ] as 't Node.t
val sparseSparseMaximum : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [< `float | `double | `int32 | `int64 ] as 't Node.t
val sparseSparseMinimum : ?name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseTensorDenseAdd : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val sparseTensorDenseMatMul : ?name:string -> ?adjoint_a:bool -> ?adjoint_b:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> 't Node.t -> 't Node.t
val sparseToDense : ?name:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 'tindices Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> 't Node.t -> 't Node.t -> 't Node.t
val sparseToSparseSetOperation : ?name:string -> set_operation:string -> ?validate_indices:bool -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t -> [< `int32 | `int64 | `string ] as 't Node.t -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [< `int32 | `int64 | `string ] as 't Node.t * [ `int64 ] Node.t
val split : ?name:string -> num_split:int -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> 't Node.t -> 't Node.t list
val splitV : ?name:string -> num_split:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tlen Node.t -> [ `int32 ] Node.t -> 't Node.t list
val sqrt : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val sqrtGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val square : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val squaredDifference : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val squeeze : ?name:string -> ?squeeze_dims:int list -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val stack : ?name:string -> ?stack_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val stackClose : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val stackPop : ?name:string -> type_:'elem_type Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 'elem_type Node.t
val stackPush : ?name:string -> ?swap_memory:bool -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 't Node.t -> 't Node.t
val stopGradient : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val stridedSlice : ?name:string -> ?begin_mask:int -> ?end_mask:int -> ?ellipsis_mask:int -> ?new_axis_mask:int -> ?shrink_axis_mask:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> 't Node.t
val stridedSliceAssign : ?name:string -> ?begin_mask:int -> ?end_mask:int -> ?ellipsis_mask:int -> ?new_axis_mask:int -> ?shrink_axis_mask:int -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> 't Node.t -> 't Node.t
val stridedSliceGrad : ?name:string -> ?begin_mask:int -> ?end_mask:int -> ?ellipsis_mask:int -> ?new_axis_mask:int -> ?shrink_axis_mask:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> [< `int32 | `int64 ] as 'index Node.t -> 't Node.t -> 't Node.t
val stringJoin : ?name:string -> ?separator:string -> ?control_inputs:Node.p list -> [ `string ] Node.t list -> [ `string ] Node.t
val stringSplit : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `int64 ] Node.t * [ `string ] Node.t * [ `int64 ] Node.t
val stringToHashBucket : ?name:string -> num_buckets:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val stringToHashBucketFast : ?name:string -> num_buckets:int -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val stringToHashBucketStrong : ?name:string -> num_buckets:int -> key:int list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int64 ] Node.t
val stringToNumber : ?name:string -> type_:[< `float | `int32 ] as 'out_type Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `float | `int32 ] as 'out_type Node.t
val sub : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val substr : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [< `int32 | `int64 ] as 't Node.t -> [< `int32 | `int64 ] as 't Node.t -> [ `string ] Node.t
val sum : ?name:string -> ?keep_dims:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tidx Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val svd : ?name:string -> ?compute_uv:bool -> ?full_matrices:bool -> ?control_inputs:Node.p list -> [< `double | `float | `complex64 ] as 't Node.t -> [< `double | `float | `complex64 ] as 't Node.t * [< `double | `float | `complex64 ] as 't Node.t * [< `double | `float | `complex64 ] as 't Node.t
val switch : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `bool ] Node.t -> 't Node.t * 't Node.t
val tFRecordReader : ?name:string -> ?container:string -> ?shared_name:string -> ?compression_type:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val takeManySparseFromTensorsMap : ?name:string -> type_1:'dtype Node.Type.t -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * 'dtype Node.t * [ `int64 ] Node.t
val tan : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val tanh : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val tanhGrad : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t -> [< `float | `double | `complex64 ] as 't Node.t
val temporaryVariable : ?name:string -> type_:'dtype Node.Type.t -> shape:Node.Dim.t list -> ?var_name:string -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val tensorArray : ?name:string -> ?dynamic_size:bool -> ?clear_after_read:bool -> ?tensor_array_name:string -> ?element_shape:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [ `string ] Node.t
val tensorArrayClose : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val tensorArrayCloseV2 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `unit ] Node.t
val tensorArrayConcat : ?name:string -> type_:'dtype Node.Type.t -> ?element_shape_except0:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> 'dtype Node.t * [ `int64 ] Node.t
val tensorArrayConcatV2 : ?name:string -> type_:'dtype Node.Type.t -> ?element_shape_except0:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> 'dtype Node.t * [ `int64 ] Node.t
val tensorArrayGather : ?name:string -> type_:'dtype Node.Type.t -> ?element_shape:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> 'dtype Node.t
val tensorArrayGatherV2 : ?name:string -> type_:'dtype Node.Type.t -> ?element_shape:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> 'dtype Node.t
val tensorArrayGrad : ?name:string -> source:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `string ] Node.t
val tensorArrayGradV2 : ?name:string -> source:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `string ] Node.t
val tensorArrayPack : ?name:string -> type_:'dtype Node.Type.t -> ?element_shape:Node.Dim.t list -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> 'dtype Node.t
val tensorArrayRead : ?name:string -> type_:'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> 'dtype Node.t
val tensorArrayReadV2 : ?name:string -> type_:'dtype Node.Type.t -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> [ `float ] Node.t -> 'dtype Node.t
val tensorArrayScatter : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArrayScatterV2 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArraySize : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t
val tensorArraySizeV2 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `float ] Node.t -> [ `int32 ] Node.t
val tensorArraySplit : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArraySplitV2 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 't Node.t -> [ `int64 ] Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArrayUnpack : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArrayV2 : ?name:string -> ?element_shape:Node.Dim.t list -> ?dynamic_size:bool -> ?clear_after_read:bool -> ?tensor_array_name:string -> ?control_inputs:Node.p list -> [ `int32 ] Node.t -> [ `string ] Node.t
val tensorArrayWrite : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorArrayWriteV2 : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `int32 ] Node.t -> 't Node.t -> [ `float ] Node.t -> [ `float ] Node.t
val tensorSummary : ?name:string -> ?description:string -> ?display_name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `string ] Node.t
val textLineReader : ?name:string -> ?skip_header_lines:int -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val threadUnsafeUnigramCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> range_max:int -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val tile : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tmultiples Node.t -> 't Node.t
val tileGrad : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [ `int32 ] Node.t -> 't Node.t
val topK : ?name:string -> k:int -> ?sorted:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t * [ `int32 ] Node.t
val topKV2 : ?name:string -> ?sorted:bool -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 ] as 't Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int32 | `int64 ] as 't Node.t * [ `int32 ] Node.t
val transpose : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> [< `int32 | `int64 ] as 'tperm Node.t -> 't Node.t
val truncateDiv : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t -> [< `float | `double | `int32 | `int64 | `complex64 ] as 't Node.t
val truncateMod : ?name:string -> ?control_inputs:Node.p list -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t -> [< `int32 | `int64 | `float | `double ] as 't Node.t
val truncatedNormal : ?name:string -> type_:[< `float | `double ] as 'dtype Node.Type.t -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [< `int32 | `int64 ] as 't Node.t -> [< `float | `double ] as 'dtype Node.t
val uniformCandidateSampler : ?name:string -> num_true:int -> num_sampled:int -> unique:bool -> range_max:int -> ?seed:int -> ?seed2:int -> ?control_inputs:Node.p list -> [ `int64 ] Node.t -> [ `int64 ] Node.t * [ `float ] Node.t * [ `float ] Node.t
val unique : ?name:string -> type_1:[< `int32 | `int64 ] as 'out_idx Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t * [< `int32 | `int64 ] as 'out_idx Node.t
val uniqueWithCounts : ?name:string -> type_1:[< `int32 | `int64 ] as 'out_idx Node.Type.t -> type_2:[< `int32 | `int64 ] as 'out_idx Node.Type.t -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t * [< `int32 | `int64 ] as 'out_idx Node.t * [< `int32 | `int64 ] as 'out_idx Node.t
val unpack : ?name:string -> num:int -> ?axis:int -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t list
val unsortedSegmentSum : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t -> [< `int32 | `int64 ] as 'tindices Node.t -> [ `int32 ] Node.t -> [< `float | `double | `int64 | `int32 | `complex64 ] as 't Node.t
val variable : ?name:string -> type_:'dtype Node.Type.t -> shape:Node.Dim.t list -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val variableV2 : ?name:string -> type_:'dtype Node.Type.t -> shape:Node.Dim.t list -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> 'dtype Node.t
val where : ?name:string -> ?control_inputs:Node.p list -> [ `bool ] Node.t -> [ `int64 ] Node.t
val wholeFileReader : ?name:string -> ?container:string -> ?shared_name:string -> ?control_inputs:Node.p list -> unit -> [ `string ] Node.t
val writeFile : ?name:string -> ?control_inputs:Node.p list -> [ `string ] Node.t -> [ `string ] Node.t -> [ `unit ] Node.t
val zerosLike : ?name:string -> ?control_inputs:Node.p list -> 't Node.t -> 't Node.t
val zeta : ?name:string -> ?control_inputs:Node.p list -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t -> [< `float | `double ] as 't Node.t
OCaml

Innovation. Community. Security.

GitHub Discord Twitter Peertube RSS
About
Changelog Releases Industrial Users Academic Users Why OCaml
Ecosystem
Packages Community Events OCaml Planet Jobs
Resources
Install OCaml Get Started Platform Tools Language Manual Standard Library API Books Exercises Papers OCaml Playground Logo
Policies
Carbon Footprint Governance Privacy Code of Conduct