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| author | James Conroy <james.conroy@arm.com> | 2021-04-27 17:13:27 +0100 |
|---|---|---|
| committer | Narumol Prangnawarat <narumol.prangnawarat@arm.com> | 2021-05-06 14:40:40 +0000 |
| commit | 1f58f03d82c482626b1b4673b6c0e25da4338fb5 (patch) | |
| tree | e92451e00d459a2fc0d870694460f482aa4c77ae /src/backends/backendsCommon/test/CommonTestUtils.hpp | |
| parent | a7a12f5c3654da554ad6197beff0f0fc54681c92 (diff) | |
| download | armnn-1f58f03d82c482626b1b4673b6c0e25da4338fb5.tar.gz | |
IVGCVSW-5815 Generalise ConstCpuTensorHandle
* Generalises ConstCpuTensorHandle and inherited
classes by removing 'Cpu' from aliases.
* New renamed classes: ConstTensorHandle, TensorHandle,
ScopedTensorHandle, PassthroughTensorHandle,
ConstPassthroughTensorHandle.
Signed-off-by: James Conroy <james.conroy@arm.com>
Change-Id: I1824e0e134202735fb77051f20a7252f161dfe16
Diffstat (limited to 'src/backends/backendsCommon/test/CommonTestUtils.hpp')
| -rw-r--r-- | src/backends/backendsCommon/test/CommonTestUtils.hpp | 6 |
1 files changed, 3 insertions, 3 deletions
diff --git a/src/backends/backendsCommon/test/CommonTestUtils.hpp b/src/backends/backendsCommon/test/CommonTestUtils.hpp index 8c4da621ed..99412b9694 100644 --- a/src/backends/backendsCommon/test/CommonTestUtils.hpp +++ b/src/backends/backendsCommon/test/CommonTestUtils.hpp @@ -13,7 +13,7 @@ #include <armnn/BackendRegistry.hpp> #include <armnn/Types.hpp> -#include <backendsCommon/CpuTensorHandle.hpp> +#include <backendsCommon/TensorHandle.hpp> #include <test/TestUtils.hpp> @@ -72,8 +72,8 @@ bool Compare(T a, T b, float tolerance = 0.000001f) template <typename ConvolutionLayer> void SetWeightAndBias(ConvolutionLayer* layer, const armnn::TensorInfo& weightInfo, const armnn::TensorInfo& biasInfo) { - layer->m_Weight = std::make_unique<armnn::ScopedCpuTensorHandle>(weightInfo); - layer->m_Bias = std::make_unique<armnn::ScopedCpuTensorHandle>(biasInfo); + layer->m_Weight = std::make_unique<armnn::ScopedTensorHandle>(weightInfo); + layer->m_Bias = std::make_unique<armnn::ScopedTensorHandle>(biasInfo); layer->m_Weight->Allocate(); layer->m_Bias->Allocate(); |