From e299a99db1449f83f925cf0bc0440969a09c16c9 Mon Sep 17 00:00:00 2001 From: =?utf8?q?Prasanna=20R/System=20SW=20/SRI-Bangalore/Engineer/?= =?utf8?q?=EC=82=BC=EC=84=B1=EC=A0=84=EC=9E=90?= Date: Fri, 2 Nov 2018 11:57:10 +0530 Subject: [PATCH] Defining EXP_EX in NeuralNetworksEx.h (#3416) This patch defines EXP_EX in NeuralNetworksEx.h Related issue: #3347 Signed-off-by: prasannar --- include/NeuralNetworksEx.h | 18 ++++++++++++++++++ 1 file changed, 18 insertions(+) diff --git a/include/NeuralNetworksEx.h b/include/NeuralNetworksEx.h index f6b1b8a..12c7a52 100644 --- a/include/NeuralNetworksEx.h +++ b/include/NeuralNetworksEx.h @@ -69,6 +69,24 @@ typedef enum { */ ANEURALNETWORKS_SQUARED_DIFFERENCE_EX = 50006, ANEURALNETWORKS_NEG_EX = 50007, + + /** + * Computes exponential value element-wise on the input tensor. + * + * Given an input tensor of {@link OperandCode}, + * The output is the exponential value element-wise on the input tensor. + * + * Supported tensor {@link OperandCode}: + * * {@link ANEURALNETWORKS_TENSOR_FLOAT32} + * + * Supported tensor rank: up to 4 + * + * Inputs: + * * 0: An n-D tensor, specifying the input. + * + * Outputs: + * * 0: The output tensor, of the same {@link OperandCode} and shape as input0 + */ ANEURALNETWORKS_EXP_EX = 50008, ANEURALNETWORKS_TENSORFLOW_SUM_EX = 50009, ANEURALNETWORKS_TRANSPOSE_CONV_EX = 50010, -- 2.7.4