Searched refs:partition_types (Results 1 – 7 of 7) sorted by relevance
50 def partition_types(self) -> list[OpOverload]: member in QuantizationPattern72 def partition_types(self) -> List[OpOverload]: member in AddmmPattern105 def partition_types(self) -> List[OpOverload]: member in BmmPattern126 def partition_types(self) -> List[OpOverload]: member in Conv1dPattern165 def partition_types(self) -> List[OpOverload]: member in Conv2dPattern204 def partition_types(self) -> List[OpOverload]: member in LayerNormPattern239 def partition_types(self) -> List[OpOverload]: member in LinearPattern278 def partition_types(self) -> List[OpOverload]: member in MatmulPattern301 def partition_types(self) -> List[OpOverload]: member in ReluBasePattern323 def partition_types(self) -> List[OpOverload]: member in ReluPattern0[all …]
221 partition_types: List[Any],224 for partition_type in partition_types:
75 self.pattern.partition_types(),
338 pattern.partition_types(),
79 def _valid_type_sequence(partition_types: List[Any]):81 for partition_type in partition_types:92 partition_types: List[Any],96 if not _valid_type_sequence(partition_types):102 for partition_type in partition_types:
46 std::vector<tensorflow::RowPartitionType> partition_types; member51 if (partition_types.front() == in GetRowPartitionTypeByDimension()53 return partition_types[dimension + 1]; in GetRowPartitionTypeByDimension()55 return partition_types[dimension]; in GetRowPartitionTypeByDimension()64 attributes->partition_types.front(); in GetFirstDimensionSizeT()145 if (conversion_attributes.partition_types.front() == in GetRowPartitionTensor()566 attributes->partition_types = in Initialize()568 if (attributes->partition_types.size() != in Initialize()574 tensorflow::GetRaggedRank(attributes->partition_types); in Initialize()
45 std::vector<std::string> partition_types, in RaggedTensorToTensorOpModel() argument66 for (const auto& s : partition_types) { in RaggedTensorToTensorOpModel()71 fbb.Int("num_row_partition_tensors", partition_types.size()); in RaggedTensorToTensorOpModel()