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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-06-14 14:51:17 +0100 |
|---|---|---|
| committer | TeresaARM <teresa.charlinreyes@arm.com> | 2023-06-22 12:12:31 +0000 |
| commit | a7a605a7554158a47127b1988b94c6bfac0a64b9 (patch) | |
| tree | 9dce948707b266e45b0a5a6974ca940b54ce7f42 /src/armnnTfLiteParser/test | |
| parent | a9c5c16154386fb1ec924c3778caf6b027bb57ee (diff) | |
| download | armnn-a7a605a7554158a47127b1988b94c6bfac0a64b9.tar.gz | |
IVGCVSW-7785 BugFix: ExpandDims not working when batch!=1
* This commit fixes partially the ticket.
In ToTensorInfo() we assume batch is 1 when it is unknown.
We call OutputTensorInfoFromInputs() to amend this assumption/
However, this does not work for reshape layer.
Therefore, we have to calculate the output shape in the ParseExpandDims().
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: Iedc32a44b4ec0d8b7d2cc0b08f38f0776402f7bd
Diffstat (limited to 'src/armnnTfLiteParser/test')
| -rw-r--r-- | src/armnnTfLiteParser/test/ExpandDims.cpp | 15 |
1 files changed, 5 insertions, 10 deletions
diff --git a/src/armnnTfLiteParser/test/ExpandDims.cpp b/src/armnnTfLiteParser/test/ExpandDims.cpp index a9f021f76e..b43c3c62aa 100644 --- a/src/armnnTfLiteParser/test/ExpandDims.cpp +++ b/src/armnnTfLiteParser/test/ExpandDims.cpp @@ -1,12 +1,10 @@ // -// Copyright © 2021 Arm Ltd. All rights reserved. +// Copyright © 2021, 2023 Arm Ltd. All rights reserved. // SPDX-License-Identifier: MIT // #include "ParserFlatbuffersFixture.hpp" -#include "../TfLiteParser.hpp" #include <string> -#include <iostream> TEST_SUITE("TensorflowLiteParser_ExpandDims") { @@ -47,15 +45,12 @@ struct ExpandDimsFixture : public ParserFlatbuffersFixture } }, { - "shape": [ 1 ], - "type": "UINT8", + "shape": [], + "type": "INT32", "buffer": 2, "name": "expand_dims", "quantization": { - "min": [ 0.0 ], - "max": [ 255.0 ], - "scale": [ 1.0 ], - "zero_point": [ 0 ], + "details_type": "NONE", } }, ], @@ -77,7 +72,7 @@ struct ExpandDimsFixture : public ParserFlatbuffersFixture ] } )"; - SetupSingleInputSingleOutput("inputTensor", "outputTensor"); + Setup(); } }; |