public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput> LookupTableExportV2(this TFGraph graph, TensorFlow.TFOutput table_handle, TensorFlow.TFDataType Tkeys, TensorFlow.TFDataType Tvalues, string operName = null)
 {
     return(graph.LookupTableExportV2(table_handle, Tkeys, Tvalues, operName));
 }
 public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> DeserializeSparse(this TFGraph graph, TensorFlow.TFOutput serialized_sparse, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.DeserializeSparse(serialized_sparse, dtype, operName));
 }
예제 #3
0
 public static TensorFlow.TFOutput Const(this TFGraph graph, TensorFlow.TFTensor value, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.Const(value, dtype, operName));
 }
예제 #4
0
 public static TensorFlow.TFOutput InfeedDequeue(this TFGraph graph, TensorFlow.TFDataType dtype, TensorFlow.TFShape shape, string operName = null)
 {
     return(graph.InfeedDequeue(dtype, shape, operName));
 }
예제 #5
0
 public static TensorFlow.TFOutput TruncatedNormal(this TFGraph graph, TensorFlow.TFOutput shape, TensorFlow.TFDataType dtype, long?seed = null, long?seed2 = null, string operName = null)
 {
     return(graph.TruncatedNormal(shape, dtype, seed, seed2, 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));
 }
예제 #7
0
 public static TensorFlow.TFOutput Restore(this TFGraph graph, TensorFlow.TFOutput file_pattern, TensorFlow.TFOutput tensor_name, TensorFlow.TFDataType dt, long?preferred_shard = null, string operName = null)
 {
     return(graph.Restore(file_pattern, tensor_name, dt, preferred_shard, operName));
 }
예제 #8
0
 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 TensorListStack(this TFGraph graph, TensorFlow.TFOutput input_handle, TensorFlow.TFDataType element_dtype, long?num_elements = null, string operName = null)
 {
     return(graph.TensorListStack(input_handle, element_dtype, num_elements, operName));
 }
예제 #10
0
 public static TensorFlow.TFOutput TensorArrayReadV3(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput index, TensorFlow.TFOutput flow_in, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.TensorArrayReadV3(handle, index, flow_in, dtype, 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));
 }
예제 #12
0
 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 GetSessionTensor(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.GetSessionTensor(handle, dtype, operName));
 }
예제 #14
0
 public static TensorFlow.TFOutput StackPopV2(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFDataType elem_type, string operName = null)
 {
     return(graph.StackPopV2(handle, elem_type, operName));
 }
 public static TensorFlow.TFOutput TensorListGetItem(this TFGraph graph, TensorFlow.TFOutput input_handle, TensorFlow.TFOutput index, TensorFlow.TFDataType element_dtype, string operName = null)
 {
     return(graph.TensorListGetItem(input_handle, index, element_dtype, operName));
 }
 public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> TakeManySparseFromTensorsMap(this TFGraph graph, TensorFlow.TFOutput sparse_handles, TensorFlow.TFDataType dtype, string container = null, string shared_name = null, string operName = null)
 {
     return(graph.TakeManySparseFromTensorsMap(sparse_handles, dtype, container, shared_name, operName));
 }
예제 #17
0
 public static TensorFlow.TFOutput ResourceCountUpTo(this TFGraph graph, TensorFlow.TFOutput resource, long limit, TensorFlow.TFDataType T, string operName = null)
 {
     return(graph.ResourceCountUpTo(resource, limit, T, operName));
 }
예제 #18
0
 public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> SparseCross(this TFGraph graph, TensorFlow.TFOutput[] indices, TensorFlow.TFOutput[] values, TensorFlow.TFOutput[] shapes, TensorFlow.TFOutput[] dense_inputs, System.Boolean hashed_output, long num_buckets, long hash_key, TensorFlow.TFDataType out_type, TensorFlow.TFDataType internal_type, string operName = null)
 {
     return(graph.SparseCross(indices, values, shapes, dense_inputs, hashed_output, num_buckets, hash_key, out_type, internal_type, operName));
 }
예제 #19
0
 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));
 }
예제 #20
0
 public static TensorFlow.TFOutput Cast(this TFGraph graph, TensorFlow.TFOutput x, TensorFlow.TFDataType DstT, System.Boolean?Truncate = null, string operName = null)
 {
     return(graph.Cast(x, DstT, Truncate, operName));
 }
예제 #21
0
 public static ValueTuple <TensorFlow.TFOutput, TensorFlow.TFOutput, TensorFlow.TFOutput> Requantize(this TFGraph graph, TensorFlow.TFOutput input, TensorFlow.TFOutput input_min, TensorFlow.TFOutput input_max, TensorFlow.TFOutput requested_output_min, TensorFlow.TFOutput requested_output_max, TensorFlow.TFDataType out_type, string operName = null)
 {
     return(graph.Requantize(input, input_min, input_max, requested_output_min, requested_output_max, out_type, 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));
 }
예제 #23
0
 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));
 }
예제 #24
0
 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 TensorListReserve(this TFGraph graph, TensorFlow.TFOutput element_shape, TensorFlow.TFOutput num_elements, TensorFlow.TFDataType element_dtype, string operName = null)
 {
     return(graph.TensorListReserve(element_shape, num_elements, element_dtype, operName));
 }
예제 #26
0
 public static TensorFlow.TFOutput HashTable(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, string operName = null)
 {
     return(graph.HashTable(key_dtype, value_dtype, container, shared_name, use_node_name_sharing, operName));
 }
예제 #27
0
 public static TensorFlow.TFOutput AccumulatorTakeGradient(this TFGraph graph, TensorFlow.TFOutput handle, TensorFlow.TFOutput num_required, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.AccumulatorTakeGradient(handle, num_required, dtype, operName));
 }
예제 #28
0
 public static TensorFlow.TFOutput ReadVariableOp(this TFGraph graph, TensorFlow.TFOutput resource, TensorFlow.TFDataType dtype, string operName = null)
 {
     return(graph.ReadVariableOp(resource, dtype, operName));
 }
예제 #29
0
 public static TensorFlow.TFOutput RandomUniform(this TFGraph graph, TensorFlow.TFOutput shape, TensorFlow.TFDataType dtype, long?seed = null, long?seed2 = null, string operName = null)
 {
     return(graph.RandomUniform(shape, dtype, seed, seed2, operName));
 }
예제 #30
0
 public static TensorFlow.TFOutput DecodeRaw(this TFGraph graph, TensorFlow.TFOutput bytes, TensorFlow.TFDataType out_type, System.Boolean?little_endian = null, string operName = null)
 {
     return(graph.DecodeRaw(bytes, out_type, little_endian, operName));
 }