Move OEM codes out of NeuralNetworks.h to new file NeuralNetworksOEM.h.

package android.hardware.neuralnetworks@1.0;

// The types an operand can have.

// These values are the same as found in the NeuralNetworks.h file.

// When modifying, be sure to update HAL_NUM_OPERAND_TYPES in HalIntefaces.h.

// These values are the same as found in the NeuralNetworks.h and NeuralNetworksOEM.h files.

enum OperandType : uint32_t {

    OEM                       = 0,

    FLOAT32                   = 1,

    INT32                     = 2, // TODO: is this needed?

    UINT32                    = 3,

    TENSOR_OEM_BYTE           = 4,

    TENSOR_FLOAT32            = 5,

    TENSOR_INT32              = 6,

    TENSOR_QUANT8_ASYMM       = 7,

    FLOAT32                   = 0,

    INT32                     = 1,

    UINT32                    = 2,

    TENSOR_FLOAT32            = 3,

    TENSOR_INT32              = 4,

    TENSOR_QUANT8_ASYMM       = 5,

    OEM                       = 10000,

    TENSOR_OEM_BYTE           = 10001,

};

// The type of operations.  Unlike the operation types found in

// NeuralNetworks.h file, these specify the data type they operate on.

// The type of operations.  Unlike the operation types found in the

// NeuralNetworks.h and NeuralNetworksOEM.h files, these specify the data type they operate on.

// This is done to simplify the work of drivers.

// 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 {

    OEM_OPERATION                = 0,

    ADD                          = 1,

    AVERAGE_POOL_2D              = 2,

    CONCATENATION                = 3,

    CONV_2D                      = 4,

    DEPTHWISE_CONV_2D            = 5,

    DEPTH_TO_SPACE               = 6,

    DEQUANTIZE                   = 7,

    EMBEDDING_LOOKUP             = 8,

    FAKE_QUANT                   = 9,

    FLOOR                        = 10,

    FULLY_CONNECTED              = 11,

    HASHTABLE_LOOKUP             = 12,

    L2_NORMALIZATION             = 13,

    L2_POOL_2D                   = 14,

    LOCAL_RESPONSE_NORMALIZATION = 15,

    LOGISTIC                     = 16,

    LSH_PROJECTION               = 17,

    LSTM                         = 18,

    MAX_POOL_2D                  = 19,

    MUL                          = 20,

    RELU                         = 21,

    RELU1                        = 22,

    RELU6                        = 23,

    RESHAPE                      = 24,

    RESIZE_BILINEAR              = 25,

    RNN                          = 26,

    SOFTMAX                      = 27,

    SPACE_TO_DEPTH               = 28,

    SVDF                         = 29,

    TANH                         = 30,

    ADD                          = 0,

    AVERAGE_POOL_2D              = 1,

    CONCATENATION                = 2,

    CONV_2D                      = 3,

    DEPTHWISE_CONV_2D            = 4,

    DEPTH_TO_SPACE               = 5,

    DEQUANTIZE                   = 6,

    EMBEDDING_LOOKUP             = 7,

    FLOOR                        = 8,

    FULLY_CONNECTED              = 9,

    HASHTABLE_LOOKUP             = 10,

    L2_NORMALIZATION             = 11,

    L2_POOL_2D                   = 12,

    LOCAL_RESPONSE_NORMALIZATION = 13,

    LOGISTIC                     = 14,

    LSH_PROJECTION               = 15,

    LSTM                         = 16,

    MAX_POOL_2D                  = 17,

    MUL                          = 18,

    RELU                         = 19,

    RELU1                        = 20,

    RELU6                        = 21,

    RESHAPE                      = 22,

    RESIZE_BILINEAR              = 23,

    RNN                          = 24,

    SOFTMAX                      = 25,

    SPACE_TO_DEPTH               = 26,

    SVDF                         = 27,

    TANH                         = 28,

    OEM_OPERATION                = 10000,

};

// Fused activation functions