+tensorflow

class tensorflow.ApiDefMap(op_list_buffer)

Bases: util.mixin.Pointer

APIDEFMAP Summary of this class goes here Detailed explanation goes here

class tensorflow.Buffer(varargin)

Bases: util.mixin.Pointer

BUFFER Summary of this class goes here Detailed explanation goes here

class tensorflow.DeviceList(ref)

Bases: util.mixin.Pointer

DEVICELIST Summary of this class goes here Detailed explanation goes here

class tensorflow.Function(ref)

Bases: util.mixin.Pointer

FUNCTION Summary of this class goes here Detailed explanation goes here

class tensorflow.Graph

Bases: util.mixin.Pointer, tensorflow.Ops

GRAPH Summary of this class goes here Detailed explanation goes here

addGradients(y, x)

TODO bug for numel(x) > 1

class tensorflow.ImportGraphDefOptions

Bases: util.mixin.Pointer

IMPORTGRAPHDEFOPTIONS Summary of this class goes here Detailed explanation goes here

class tensorflow.ImportGraphDefResults(ref)

Bases: util.mixin.Pointer

IMPORTGRAPHDEFRESULTS Summary of this class goes here Detailed explanation goes here

class tensorflow.Input(oper, index)

Bases: util.mixin.Pointer

INPUT Summary of this class goes here Detailed explanation goes here

class tensorflow.Library(ref)

Bases: util.mixin.Pointer

LIBRARY Summary of this class goes here Detailed explanation goes here

class tensorflow.Operation(varargin)

Bases: util.mixin.Pointer, util.mixin.Vectorize

OPERATION Summary of this class goes here Detailed explanation goes here

class tensorflow.OperationDescription(graph, op_type, op_name)

Bases: util.mixin.Pointer

OPERATIONDESCRIPTION Summary of this class goes here Detailed explanation goes here

class tensorflow.Output(varargin)

Bases: util.mixin.Pointer, util.mixin.Vectorize

OUTPUT Summary of this class goes here Detailed explanation goes here

class tensorflow.Server(proto)

Bases: util.mixin.Pointer

SERVER Summary of this class goes here Detailed explanation goes here

Server(proto)

using a TF_Buffer to handle proto and its length

class tensorflow.Session(varargin)

Bases: util.mixin.Pointer

SESSION Summary of this class goes here Detailed explanation goes here

class tensorflow.SessionOptions

Bases: util.mixin.Pointer

SESSIONOPTIONS Summary of this class goes here Detailed explanation goes here

class tensorflow.Status

Bases: util.mixin.Pointer

STATUS Summary of this class goes here Detailed explanation goes here

class tensorflow.Tensor(varargin)

Bases: util.mixin.Pointer, util.mixin.Vectorize

TENSOR Summary of this class goes here Detailed explanation goes here

Tensor(varargin)

input arguments for: - construction by reference (vectorized)

  1. ref [uint64] … an array of reference values

  2. owned [logical] … an array of boolean values if the underlying memory is owned

    (true); size has to match size of reference value array

  • construction by data 1) data […]

    … data of arbitrary dimensions and data type

  • construction by data type & dimensions 1) datatype [tensorflow.DataType]

    … the data type the Tensor represents

    1. dims [numeric] … the dimensions of the resulting Tensor, must be a vector

data()

return Tensor data in a TF_Buffer wrapper

class tensorflow.WhileParams(ref)

Bases: util.mixin.Pointer

WHILEPARAMS Summary of this class goes here Detailed explanation goes here