Loading neuralnetworks/1.0/types.hal +35 −34 Original line number Diff line number Diff line Loading @@ -41,40 +41,41 @@ enum OperandType : uint32_t { // TODO: Currently they are the same. Add a conversion when finalizing the model. // When modifying, be sure to update HAL_NUM_OPERATION_TYPES in HalIntefaces.h. enum OperationType : uint32_t { AVERAGE_POOL = 0, CONCATENATION = 1, CONV = 2, DEPTHWISE_CONV = 3, MAX_POOL = 4, L2_POOL = 5, DEPTH_TO_SPACE = 6, SPACE_TO_DEPTH = 7, LOCAL_RESPONSE_NORMALIZATION = 8, SOFTMAX = 9, RESHAPE = 10, SPLIT = 11, FAKE_QUANT = 12, ADD = 13, FULLY_CONNECTED = 14, CAST = 15, MUL = 16, L2_NORMALIZATION = 17, LOGISTIC = 18, RELU = 19, RELU6 = 20, RELU1 = 21, TANH = 22, DEQUANTIZE = 23, FLOOR = 24, GATHER = 25, RESIZE_BILINEAR = 26, LSH_PROJECTION = 27, LSTM = 28, SVDF = 29, RNN = 30, N_GRAM = 31, EMBEDDING_LOOKUP = 32, HASHTABLE_LOOKUP = 33, OEM_OPERATION = 0, AVERAGE_POOL = 1, CONCATENATION = 2, CONV = 3, DEPTHWISE_CONV = 4, MAX_POOL = 5, L2_POOL = 6, DEPTH_TO_SPACE = 7, SPACE_TO_DEPTH = 8, LOCAL_RESPONSE_NORMALIZATION = 9, SOFTMAX = 10, RESHAPE = 11, SPLIT = 12, FAKE_QUANT = 13, ADD = 14, FULLY_CONNECTED = 15, CAST = 16, MUL = 17, L2_NORMALIZATION = 18, LOGISTIC = 19, RELU = 20, RELU6 = 21, RELU1 = 22, TANH = 23, DEQUANTIZE = 24, FLOOR = 25, GATHER = 26, RESIZE_BILINEAR = 27, LSH_PROJECTION = 28, LSTM = 29, SVDF = 30, RNN = 31, N_GRAM = 32, EMBEDDING_LOOKUP = 33, HASHTABLE_LOOKUP = 34, }; // Two special values that can be used instead of a regular poolIndex. Loading Loading
neuralnetworks/1.0/types.hal +35 −34 Original line number Diff line number Diff line Loading @@ -41,40 +41,41 @@ enum OperandType : uint32_t { // TODO: Currently they are the same. Add a conversion when finalizing the model. // When modifying, be sure to update HAL_NUM_OPERATION_TYPES in HalIntefaces.h. enum OperationType : uint32_t { AVERAGE_POOL = 0, CONCATENATION = 1, CONV = 2, DEPTHWISE_CONV = 3, MAX_POOL = 4, L2_POOL = 5, DEPTH_TO_SPACE = 6, SPACE_TO_DEPTH = 7, LOCAL_RESPONSE_NORMALIZATION = 8, SOFTMAX = 9, RESHAPE = 10, SPLIT = 11, FAKE_QUANT = 12, ADD = 13, FULLY_CONNECTED = 14, CAST = 15, MUL = 16, L2_NORMALIZATION = 17, LOGISTIC = 18, RELU = 19, RELU6 = 20, RELU1 = 21, TANH = 22, DEQUANTIZE = 23, FLOOR = 24, GATHER = 25, RESIZE_BILINEAR = 26, LSH_PROJECTION = 27, LSTM = 28, SVDF = 29, RNN = 30, N_GRAM = 31, EMBEDDING_LOOKUP = 32, HASHTABLE_LOOKUP = 33, OEM_OPERATION = 0, AVERAGE_POOL = 1, CONCATENATION = 2, CONV = 3, DEPTHWISE_CONV = 4, MAX_POOL = 5, L2_POOL = 6, DEPTH_TO_SPACE = 7, SPACE_TO_DEPTH = 8, LOCAL_RESPONSE_NORMALIZATION = 9, SOFTMAX = 10, RESHAPE = 11, SPLIT = 12, FAKE_QUANT = 13, ADD = 14, FULLY_CONNECTED = 15, CAST = 16, MUL = 17, L2_NORMALIZATION = 18, LOGISTIC = 19, RELU = 20, RELU6 = 21, RELU1 = 22, TANH = 23, DEQUANTIZE = 24, FLOOR = 25, GATHER = 26, RESIZE_BILINEAR = 27, LSH_PROJECTION = 28, LSTM = 29, SVDF = 30, RNN = 31, N_GRAM = 32, EMBEDDING_LOOKUP = 33, HASHTABLE_LOOKUP = 34, }; // Two special values that can be used instead of a regular poolIndex. Loading