public static TensorFlow.TFOutput ParallelConcat(this TFGraph graph, TensorFlow.TFOutput[] values, TensorFlow.TFShape shape, string operName = null)
{
return(graph.ParallelConcat(values, shape, operName));
}
public static TensorFlow.TFOutput OutfeedDequeue(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, long?device_ordinal = null, string operName = null)
{
return(graph.OutfeedDequeue(dtype, shape, device_ordinal, operName));
}
public static TensorFlow.TFOutput ConditionalAccumulator(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, string container = null, string shared_name = null, string operName = null)
{
return(graph.ConditionalAccumulator(dtype, shape, container, shared_name, operName));
}
public static TensorFlow.TFOutput MutableDenseHashTable(this TFGraph graph, TensorFlow.TFOutput empty_key, TensorFlow.TFDataType value_dtype, string container = null, string shared_name = null, System.Boolean?use_node_name_sharing = null, TensorFlow.TFShape value_shape = null, long?initial_num_buckets = null, System.Single?max_load_factor = null, string operName = null)
{
return(graph.MutableDenseHashTable(empty_key, value_dtype, container, shared_name, use_node_name_sharing, value_shape, initial_num_buckets, max_load_factor, operName));
}
public static TensorFlow.TFOutput TensorArrayGatherV2(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput indices, TensorFlow.TFOutput flow_in, TensorFlow.TFDataType dtype, TensorFlow.TFShape element_shape = null, string operName = null)
{
return(graph.TensorArrayGatherV2(handle, indices, flow_in, dtype, element_shape, operName));
}
public static TensorFlow.TFOutput Dropout(this TFGraph graph, TensorFlow.TFOutput x, double keep_prob, TensorFlow.TFShape noise_shape = null, int?seed = null, string operName = null)
{
return(graph.Dropout(x, keep_prob, noise_shape, seed, operName));
}
public static TensorFlow.TFOutput ImmutableConst(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, string memory_region_name, string operName = null)
{
return(graph.ImmutableConst(dtype, shape, memory_region_name, operName));
}
public static TensorFlow.TFOutput MutableHashTableOfTensors(this TFGraph graph, TensorFlow.TFDataType key_dtype, TensorFlow.TFDataType value_dtype, string container = null, string shared_name = null, System.Boolean?use_node_name_sharing = null, TensorFlow.TFShape value_shape = null, string operName = null)
{
return(graph.MutableHashTableOfTensors(key_dtype, value_dtype, container, shared_name, use_node_name_sharing, value_shape, operName));
}
public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput> TensorArrayConcatV3(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput flow_in, TensorFlow.TFDataType dtype, TensorFlow.TFShape element_shape_except0 = null, string operName = null)
{
return(graph.TensorArrayConcatV3(handle, flow_in, dtype, element_shape_except0, operName));
}
public static TensorFlow.TFOutput Placeholder(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape = null, string operName = null)
{
return(graph.Placeholder(dtype, shape, operName));
}
public static TensorFlow.TFOutput Constant(this TFGraph graph, object value, TensorFlow.TFShape tfshape, TensorFlow.TFDataType dtype = TensorFlow.TFDataType.Double, string operName = null)
{
return(graph.Constant(value, tfshape, dtype, operName));
}
public static TensorFlow.TFOutput RandomNormal(this TFGraph graph, TensorFlow.TFShape shape, double mean = 0, double stddev = 1, int?seed = null, string operName = null)
{
return(graph.RandomNormal(shape, mean, stddev, seed, operName));
}
public static TensorFlow.TFOutput TemporaryVariable(this TFGraph graph, TensorFlow.TFShape shape, TensorFlow.TFDataType dtype, string var_name = null, string operName = null)
{
return(graph.TemporaryVariable(shape, dtype, var_name, operName));
}
public static TensorFlow.TFOutput TensorArrayV2(this TFGraph graph, TensorFlow.TFOutput size, TensorFlow.TFDataType dtype, TensorFlow.TFShape element_shape = null, System.Boolean?dynamic_size = null, System.Boolean?clear_after_read = null, string tensor_array_name = null, string operName = null)
{
return(graph.TensorArrayV2(size, dtype, element_shape, dynamic_size, clear_after_read, tensor_array_name, operName));
}
public static TensorFlow.TFOutput InfeedDequeue(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, string operName = null)
{
return(graph.InfeedDequeue(dtype, shape, operName));
}
public static TensorFlow.TFOutput VarHandleOp(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, string container = null, string shared_name = null, string operName = null)
{
return(graph.VarHandleOp(dtype, shape, container, shared_name, operName));
}
public static TensorFlow.TFOutput Ones(this TFGraph graph, TensorFlow.TFShape shape, TensorFlow.TFDataType dtype = TensorFlow.TFDataType.Double, string operName = null)
{
return(graph.Ones(shape, dtype, operName));
}
public static TensorFlow.TFOperation InfeedEnqueue(this TFGraph graph, TensorFlow.TFOutput input, TensorFlow.TFShape shape = null, long?device_ordinal = null, string operName = null)
{
return(graph.InfeedEnqueue(input, shape, device_ordinal, operName));
}
public static TensorFlow.TFOutput PlaceholderWithDefault(this TFGraph graph, TensorFlow.TFOutput input, TensorFlow.TFShape shape, string operName = null)
{
return(graph.PlaceholderWithDefault(input, shape, operName));
}
public static TensorFlow.TFOutput AccumulateNV2(this TFGraph graph, TensorFlow.TFOutput[] inputs, TensorFlow.TFShape shape, string operName = null)
{
return(graph.AccumulateNV2(inputs, shape, operName));
}
