From a65b7aeafc0ef6acf40e4a8a6d36206bf53d717c Mon Sep 17 00:00:00 2001
From: Matteo Martincigh <matteo.martincigh@arm.com>
Date: Wed, 14 Nov 2018 12:39:55 +0000
Subject: IVGCVSW-2092 Port LSTMCell::Eval to ArmNN

 * Ported Google's LSTM implementation to RefLstmFloat32Workload
 * Fixed the code throughout because of an error in the docs around the
   scratch buffer size
 * Updated IsLstmSupported
 * Added the unit tests

!android-nn-driver:127

Change-Id: I5577b7e39ca52df1a7f102a9b437df6aa99520b6
---
 src/backends/backendsCommon/test/LayerTests.cpp | 8 +++-----
 1 file changed, 3 insertions(+), 5 deletions(-)

(limited to 'src/backends/backendsCommon/test/LayerTests.cpp')

diff --git a/src/backends/backendsCommon/test/LayerTests.cpp b/src/backends/backendsCommon/test/LayerTests.cpp
index dad13413b4..bd8b38da01 100755
--- a/src/backends/backendsCommon/test/LayerTests.cpp
+++ b/src/backends/backendsCommon/test/LayerTests.cpp
@@ -925,8 +925,7 @@ LayerTestResult<float, 2> LstmLayerFloat32NoCifgWithPeepholeWithProjectionTest(
              -0.0186926f,   0.0193662f,   -0.0115437f,  0.00422612f,  -0.0345232f,
              0.00223253f,   -0.00957321f, 0.0210624f,   0.013331f,    0.0150954f,
              0.02168f}));
-    return LstmLayerFloat32NoCifgWithPeepholeWithProjectionTestImpl(
-        workloadFactory, memoryManager, input, expectedOutput);
+    return LstmLayerNoCifgWithPeepholeWithProjectionTestImpl(workloadFactory, memoryManager, input, expectedOutput);
 }
 
 LayerTestResult<float, 2> LstmLayerFloat32NoCifgNoPeepholeNoProjectionTest(
@@ -6684,7 +6683,6 @@ LayerTestResult<uint8_t, 4> BatchToSpaceNdNhwcUintTest1(
     std::vector<unsigned int> blockShape({2, 2});
     std::vector<std::pair<unsigned int, unsigned int>> crops = {{0, 0}, {0, 0}};
 
-    return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager,
-        armnn::DataLayout::NHWC, inputShape, input, blockShape,
-        crops, outputShape, expectedOutput);
+    return BatchToSpaceNdHelper<uint8_t, 4, 4>(workloadFactory, memoryManager, armnn::DataLayout::NHWC, inputShape,
+                                               input, blockShape, crops, outputShape, expectedOutput);
 }
-- 
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