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author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-04-03 19:57:00 +0100 |
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committer | Colm Donelan <colm.donelan@arm.com> | 2023-04-18 17:27:41 +0000 |
commit | acb3ec51e51542d3011ed87842f87c2261abaaff (patch) | |
tree | b1ed73756c1db4a8e71b18a5a8256f42bb49341b /src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp | |
parent | 8294e96a2f0f4ad3f5cd261079a6f90eee40142c (diff) | |
download | armnn-acb3ec51e51542d3011ed87842f87c2261abaaff.tar.gz |
GitHub #719 Set quantization parameter scale to 1.0, instead of 0.0.
* Arm NN does not account for int8 or uint8 not quantized types, Tensorflow does.
Not quantized int8 and uint8 is the same as quantized int8 and uint8 with scale = 1.0 and offset= 0
Default offset/zero_point was already 0, this review sets the default scale to 1.0.
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Ibc3eecc281de516c2cc706e17bde01c64ff9556e
Diffstat (limited to 'src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp')
-rw-r--r-- | src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp b/src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp index 6effa9c85d..4a63d39800 100644 --- a/src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp +++ b/src/backends/backendsCommon/test/layerTests/UnidirectionalSequenceLstmTestImpl.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2021 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2021, 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -26,7 +26,7 @@ UnidirectionalSequenceLstmTimeMajorSingleBatchTestImpl( const std::vector<T>& outputExpected, const armnn::TensorShape& inputShape, const armnn::TensorShape& outputExpectedShape, - float qScale = 0.0f, + float qScale = 1.0f, int32_t qOffset = 0, armnn::DataType constantDataType = armnn::DataType::Float32) { @@ -222,7 +222,7 @@ LayerTestResult<T, 3> UnidirectionalSequenceLstmLayerFloat32TestImpl( const std::vector<T>& outputExpected, const armnn::TensorShape& inputShape, const armnn::TensorShape& outputExpectedShape, - float qScale = 0.0f, + float qScale = 1.0f, int32_t qOffset = 0, armnn::DataType constantDataType = armnn::DataType::Float32) { IgnoreUnused(memoryManager); @@ -411,7 +411,7 @@ UnidirectionalSequenceLstmLayerFloat32TimeMajorTestImpl( const std::vector<T>& outputExpected, const armnn::TensorShape& inputShape, const armnn::TensorShape& outputExpectedShape, - float qScale = 0.0f, + float qScale = 1.0f, int32_t qOffset = 0, armnn::DataType constantDataType = armnn::DataType::Float32) { IgnoreUnused(memoryManager); |