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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-04-03 19:57:00 +0100 |
|---|---|---|
| committer | Colm Donelan <colm.donelan@arm.com> | 2023-04-18 17:27:41 +0000 |
| commit | acb3ec51e51542d3011ed87842f87c2261abaaff (patch) | |
| tree | b1ed73756c1db4a8e71b18a5a8256f42bb49341b /src/armnn | |
| 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/armnn')
| -rw-r--r-- | src/armnn/test/RuntimeTests.cpp | 4 |
1 files changed, 3 insertions, 1 deletions
diff --git a/src/armnn/test/RuntimeTests.cpp b/src/armnn/test/RuntimeTests.cpp index 67684448bb..41a3fe1b64 100644 --- a/src/armnn/test/RuntimeTests.cpp +++ b/src/armnn/test/RuntimeTests.cpp @@ -533,7 +533,9 @@ TEST_CASE("IVGCVSW_1929_QuantizedSoftmaxIssue") 0)); softmax->GetOutputSlot(0).SetTensorInfo(armnn::TensorInfo(armnn::TensorShape({ 1, 5 }), - armnn::DataType::QAsymmU8)); + armnn::DataType::QAsymmU8, + 0.0f, + 0)); std::vector<armnn::BackendId> backends = { armnn::Compute::CpuRef }; std::vector<std::string> errMessages; |