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| author | Teresa Charlin <teresa.charlinreyes@arm.com> | 2023-03-28 11:00:36 +0100 |
|---|---|---|
| committer | Nikhil Raj Arm <nikhil.raj@arm.com> | 2023-04-11 14:14:52 +0000 |
| commit | ca5c82af9269e7fd7ed17c7df9780a75fdaa733e (patch) | |
| tree | f09478cebb90603a4afc29acf30d2d59475b152f /src/backends/neon/workloads | |
| parent | 65c21a1eeff32f3abf91c3a638252ceb1ae5c51e (diff) | |
| download | armnn-ca5c82af9269e7fd7ed17c7df9780a75fdaa733e.tar.gz | |
IVGCVSW-7507 Pass m_Crops in BatchToSpaceND CpuAcc and GpuAcc workloads
Signed-off-by: Teresa Charlin <teresa.charlinreyes@arm.com>
Change-Id: I902c9187eefe7595271312fdc16273f7aa3d41cd
Diffstat (limited to 'src/backends/neon/workloads')
| -rw-r--r-- | src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp | 11 |
1 files changed, 8 insertions, 3 deletions
diff --git a/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp index 3f477bc452..05b5899bdd 100644 --- a/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp +++ b/src/backends/neon/workloads/NeonBatchToSpaceNdWorkload.cpp @@ -1,5 +1,5 @@ // -// Copyright © 2020 Arm Ltd and Contributors. All rights reserved. +// Copyright © 2020, 2023 Arm Ltd and Contributors. All rights reserved. // SPDX-License-Identifier: MIT // @@ -28,10 +28,13 @@ arm_compute::Status NeonBatchToSpaceNdWorkloadValidate(const TensorInfo& input, int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[0]); int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_BlockShape[1]); + const arm_compute::CropInfo cropInfo = BuildArmComputeCropInfo(descriptor); + const arm_compute::Status aclStatus = arm_compute::NEBatchToSpaceLayer::validate(&aclInputInfo, blockWidth, blockHeight, - &aclOutputInfo); + &aclOutputInfo, + cropInfo); return aclStatus; } @@ -60,8 +63,10 @@ NeonBatchToSpaceNdWorkload::NeonBatchToSpaceNdWorkload(const BatchToSpaceNdQueue int32_t blockHeight = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[0]); int32_t blockWidth = armnn::numeric_cast<int32_t>(descriptor.m_Parameters.m_BlockShape[1]); + const arm_compute::CropInfo cropInfo = BuildArmComputeCropInfo(descriptor.m_Parameters); + m_Layer.reset(new arm_compute::NEBatchToSpaceLayer()); - m_Layer->configure(&input, blockWidth, blockHeight, &output); + m_Layer->configure(&input, blockWidth, blockHeight, &output, cropInfo); m_Layer->prepare(); } |