From: Prasanna R/System SW /SRI-Bangalore/Engineer/삼성전자 <prasanna.r@samsung.com>
Date: Fri, 2 Nov 2018 06:27:10 +0000 (+0530)
Subject: Defining EXP_EX in NeuralNetworksEx.h (#3416)
X-Git-Tag: 0.3~483
X-Git-Url: http://review.tizen.org/git/?a=commitdiff_plain;h=e299a99db1449f83f925cf0bc0440969a09c16c9;p=platform%2Fcore%2Fml%2Fnnfw.git

Defining EXP_EX in NeuralNetworksEx.h (#3416)

This patch defines EXP_EX in NeuralNetworksEx.h
Related issue: #3347

Signed-off-by: prasannar <prasanna.r@samsung.com>
---

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,