public static TensorFlow.TFOutput UnsortedSegmentMax(this TFGraph graph, TensorFlow.TFOutput data, TensorFlow.TFOutput segment_ids, TensorFlow.TFOutput num_segments, string operName = null)
{
return(graph.UnsortedSegmentMax(data, segment_ids, num_segments, operName));
}
public static TensorFlow.TFOperation LookupTableImportV2(this TFGraph graph, TensorFlow.TFOutput table_handle, TensorFlow.TFOutput keys, TensorFlow.TFOutput values, string operName = null)
{
return(graph.LookupTableImportV2(table_handle, keys, values, operName));
}
public static TensorFlow.TFOutput StatelessRandomUniform(this TFGraph graph, TensorFlow.TFOutput shape, TensorFlow.TFOutput seed, TensorFlow.TFDataType?dtype = null, string operName = null)
{
return(graph.StatelessRandomUniform(shape, seed, dtype, operName));
}
public static TensorFlow.TFOperation ResourceApplyGradientDescent(this TFGraph graph, TensorFlow.TFOutput var, TensorFlow.TFOutput alpha, TensorFlow.TFOutput delta, System.Boolean?use_locking = null, string operName = null)
{
return(graph.ResourceApplyGradientDescent(var, alpha, delta, use_locking, operName));
}
public static TensorFlow.TFOutput Snapshot(this TFGraph graph, TensorFlow.TFOutput input, string operName = null)
{
return(graph.Snapshot(input, operName));
}
public static TensorFlow.TFOutput ReduceMean(this TFGraph graph, TensorFlow.TFOutput input, TensorFlow.TFOutput?axis = null, System.Boolean?keep_dims = false, string operName = null)
{
return(graph.ReduceMean(input, axis, keep_dims, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> SparseToSparseSetOperation(this TFGraph graph, TensorFlow.TFOutput set1_indices, TensorFlow.TFOutput set1_values, TensorFlow.TFOutput set1_shape, TensorFlow.TFOutput set2_indices, TensorFlow.TFOutput set2_values, TensorFlow.TFOutput set2_shape, string set_operation, System.Boolean?validate_indices = null, string operName = null)
{
return(graph.SparseToSparseSetOperation(set1_indices, set1_values, set1_shape, set2_indices, set2_values, set2_shape, set_operation, validate_indices, operName));
}
public static TensorFlow.TFOutput Conv3DBackpropFilter(this TFGraph graph, TensorFlow.TFOutput input, TensorFlow.TFOutput filter, TensorFlow.TFOutput out_backprop, long[] strides, string padding, long[] dilations = null, string operName = null)
{
return(graph.Conv3DBackpropFilter(input, filter, out_backprop, strides, padding, dilations, operName));
}
public static TensorFlow.TFOperation ReaderReset(this TFGraph graph, TensorFlow.TFOutput reader_handle, string operName = null)
{
return(graph.ReaderReset(reader_handle, operName));
}
public static TensorFlow.TFOutput RandomStandardNormal(this TFGraph graph, TensorFlow.TFOutput shape, TensorFlow.TFDataType dtype, long?seed = null, long?seed2 = null, string operName = null)
{
return(graph.RandomStandardNormal(shape, dtype, seed, seed2, operName));
}
public static TensorFlow.TFOutput FixedLengthRecordDataset(this TFGraph graph, TensorFlow.TFOutput filenames, TensorFlow.TFOutput header_bytes, TensorFlow.TFOutput record_bytes, TensorFlow.TFOutput footer_bytes, TensorFlow.TFOutput buffer_size, string operName = null)
{
return(graph.FixedLengthRecordDataset(filenames, header_bytes, record_bytes, footer_bytes, buffer_size, operName));
}
public static TensorFlow.TFOperation SparseAccumulatorApplyGradient(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput local_step, TensorFlow.TFOutput gradient_indices, TensorFlow.TFOutput gradient_values, TensorFlow.TFOutput gradient_shape, System.Boolean has_known_shape, string operName = null)
{
return(graph.SparseAccumulatorApplyGradient(handle, local_step, gradient_indices, gradient_values, gradient_shape, has_known_shape, operName));
}
public static TensorFlow.TFOutput DenseToSparseBatchDataset(this TFGraph graph, TensorFlow.TFOutput input_dataset, TensorFlow.TFOutput batch_size, TensorFlow.TFOutput row_shape, TensorFlow.TFDataType[] output_types, TensorFlow.TFShape[] output_shapes, string operName = null)
{
return(graph.DenseToSparseBatchDataset(input_dataset, batch_size, row_shape, output_types, output_shapes, operName));
}
public static TensorFlow.TFOutput IsFinite(this TFGraph graph, TensorFlow.TFOutput x, string operName = null)
{
return(graph.IsFinite(x, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> UniqueWithCounts(this TFGraph graph, TensorFlow.TFOutput x, TensorFlow.TFDataType?out_idx = null, string operName = null)
{
return(graph.UniqueWithCounts(x, out_idx, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput> ReaderReadUpTo(this TFGraph graph, TensorFlow.TFOutput reader_handle, TensorFlow.TFOutput queue_handle, TensorFlow.TFOutput num_records, string operName = null)
{
return(graph.ReaderReadUpTo(reader_handle, queue_handle, num_records, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> SparseReduceMaxSparse(this TFGraph graph, TensorFlow.TFOutput input_indices, TensorFlow.TFOutput input_values, TensorFlow.TFOutput input_shape, TensorFlow.TFOutput reduction_axes, System.Boolean?keep_dims = null, string operName = null)
{
return(graph.SparseReduceMaxSparse(input_indices, input_values, input_shape, reduction_axes, keep_dims, operName));
}
public static TensorFlow.TFOutput MaxPool(this TFGraph graph, TensorFlow.TFOutput input, long[] ksize, long[] strides, string padding, string data_format = null, string operName = null)
{
return(graph.MaxPool(input, ksize, strides, padding, data_format, operName));
}
public static TensorFlow.TFOutput Pow(this TFGraph graph, TensorFlow.TFOutput x, TensorFlow.TFOutput y, string operName = null)
{
return(graph.Pow(x, y, operName));
}
public static TensorFlow.TFOutput TensorListElementShape(this TFGraph graph, TensorFlow.TFOutput input_handle, TensorFlow.TFDataType shape_type, string operName = null)
{
return(graph.TensorListElementShape(input_handle, shape_type, operName));
}
public static TensorFlow.TFOutput Fill(this TFGraph graph, TensorFlow.TFOutput dims, TensorFlow.TFOutput value, string operName = null)
{
return(graph.Fill(dims, value, operName));
}
public static TensorFlow.TFOutput ReduceJoin(this TFGraph graph, TensorFlow.TFOutput inputs, TensorFlow.TFOutput reduction_indices, System.Boolean?keep_dims = null, string separator = null, string operName = null)
{
return(graph.ReduceJoin(inputs, reduction_indices, keep_dims, separator, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> QuantizedMatMul(this TFGraph graph, TensorFlow.TFOutput a, TensorFlow.TFOutput b, TensorFlow.TFOutput min_a, TensorFlow.TFOutput max_a, TensorFlow.TFOutput min_b, TensorFlow.TFOutput max_b, TensorFlow.TFDataType?Toutput = null, System.Boolean?transpose_a = null, System.Boolean?transpose_b = null, TensorFlow.TFDataType?Tactivation = null, string operName = null)
{
return(graph.QuantizedMatMul(a, b, min_a, max_a, min_b, max_b, Toutput, transpose_a, transpose_b, Tactivation, operName));
}
public static TensorFlow.TFOutput AsString(this TFGraph graph, TensorFlow.TFOutput input, long?precision = null, System.Boolean?scientific = null, System.Boolean?shortest = null, long?width = null, string fill = null, string operName = null)
{
return(graph.AsString(input, precision, scientific, shortest, width, fill, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput> LookupTableExport(this TFGraph graph, TensorFlow.TFOutput table_handle, TensorFlow.TFDataType Tkeys, TensorFlow.TFDataType Tvalues, string operName = null)
{
return(graph.LookupTableExport(table_handle, Tkeys, Tvalues, operName));
}
public static TensorFlow.TFOutput MatrixTriangularSolve(this TFGraph graph, TensorFlow.TFOutput matrix, TensorFlow.TFOutput rhs, System.Boolean?lower = null, System.Boolean?adjoint = null, string operName = null)
{
return(graph.MatrixTriangularSolve(matrix, rhs, lower, adjoint, operName));
}
public static TensorFlow.TFOutput BatchMatMul(this TFGraph graph, TensorFlow.TFOutput x, TensorFlow.TFOutput y, System.Boolean?adj_x = null, System.Boolean?adj_y = null, string operName = null)
{
return(graph.BatchMatMul(x, y, adj_x, adj_y, operName));
}
public static TensorFlow.TFOperation AssignAddVariableOp(this TFGraph graph, TensorFlow.TFOutput resource, TensorFlow.TFOutput value, string operName = null)
{
return(graph.AssignAddVariableOp(resource, value, operName));
}
public static TensorFlow.TFOutput Atanh(this TFGraph graph, TensorFlow.TFOutput x, string operName = null)
{
return(graph.Atanh(x, operName));
}
public static TensorFlow.TFOutput TensorArrayGradV2(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput flow_in, string source, string operName = null)
{
return(graph.TensorArrayGradV2(handle, flow_in, source, operName));
}
