ANEURALNETWORKS_EXP_EX = 50008,
ANEURALNETWORKS_TENSORFLOW_SUM_EX = 50009,
ANEURALNETWORKS_TRANSPOSE_CONV_EX = 50010,
+
+ /**
+ * Returns the truth value of (x == y) element-wise.
+ *
+ * Takes two input tensors of identical {@link OperandCode} and compatible dimensions.
+ * The output is the result of comparison of two input tensors.
+ *
+ * Two dimensions are compatible when:
+ * 1. they are equal, or
+ * 2. one of them is 1
+ *
+ * The size of the output is the maximum size along each dimension of the
+ * input operands. It starts with the trailing dimensions, and works its way
+ * forward.
+ *
+ * Supported tensor {@link OperandCode}:
+ * * {@link ANEURALNETWORKS_TENSOR_FLOAT32}
+ * * {@link ANEURALNETWORKS_TENSOR_INT32}
+ * * {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM}
+ *
+ * Supported tensor rank: up to 4
+ *
+ * Inputs:
+ * * 0: An n-D tensor, specifying the first input.
+ * * 1: A tensor of the same {@link OperandCode}, and compatible dimensions
+ * as input0.
+ *
+ * Outputs:
+ * * 0: A boolean tensor indicating the truth value of (x == y)
+ * Stored as {@link ANEURALNETWORKS_TENSOR_QUANT8_ASYMM} with offset 0
+ * and scale 1.0f.
+ * A non-zero byte represents True, a hit. A zero indicates otherwise.
+ */
ANEURALNETWORKS_EQUAL_EX = 50011,
ANEURALNETWORKS_ABS_EX = 50012,
ANEURALNETWORKS_PACK_EX = 50013,