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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/armnnSerializer/test/LstmSerializationTests.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/armnnSerializer/test/LstmSerializationTests.cpp')
-rw-r--r-- | src/armnnSerializer/test/LstmSerializationTests.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/src/armnnSerializer/test/LstmSerializationTests.cpp b/src/armnnSerializer/test/LstmSerializationTests.cpp index ae2d813fc0..ff96a4bb85 100644 --- a/src/armnnSerializer/test/LstmSerializationTests.cpp +++ b/src/armnnSerializer/test/LstmSerializationTests.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 // @@ -1318,10 +1318,10 @@ TEST_CASE("EnsureLstmLayersBackwardCompatibility") params.m_CellToOutputWeights = &cellToOutputWeights; const std::string layerName("lstm"); - armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32); - armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32); - armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32); - armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32); + armnn::TensorInfo inputTensorInfo({ batchSize, inputSize }, armnn::DataType::Float32, 0.0f , 0); + armnn::TensorInfo cellStateTensorInfo({ batchSize, numUnits}, armnn::DataType::Float32, 0.0f , 0); + armnn::TensorInfo outputStateTensorInfo({ batchSize, outputSize }, armnn::DataType::Float32, 0.0f , 0); + armnn::TensorInfo lstmTensorInfoScratchBuff({ batchSize, numUnits * 4 }, armnn::DataType::Float32, 0.0f , 0); VerifyLstmLayer<armnn::LstmDescriptor> checker( layerName, |