*/
ANEURALNETWORKS_EQUAL_EX = 50011,
ANEURALNETWORKS_ABS_EX = 50012,
+ /**
+ * Packs a list of rank-R tensors into one rank- (R+1) tensor along the axis dimension.
+ *
+ * The input tensors must have identical {@link OperandCode} and the same
+ * dimensions.
+ *
+ * Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+ * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
+ *
+ * Supported tensor rank: up to 3
+ *
+ * Inputs:
+ * * 0 ~ n-1: The list of n input tensors, of shape
+ * [D0, D1, ..., Daxis(i), ..., Dm]. For inputs of
+ * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}, all input tensors
+ * must have the same scale and zeroPoint.
+ * * n: An {@link ANEURALNETWORKS_INT32} scalar, specifying the
+ * pack axis.
+ *
+ * Outputs:
+ * * 0: The output, a tensor of the same {@link OperandCode} as the input
+ * tensors. The output shape is [D0, D1, ..., N at Daxis(i), ..., Dm+1]
+ * where N is the number of tensors to be packed.
+ */
ANEURALNETWORKS_PACK_EX = 50013,
/**
* Unpacks a given rank-R tensors into num_splits rank- (R-1) tensors along the axis dimention.