diff options
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/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp | |
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/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp')
-rw-r--r-- | src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp b/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp index 4523e70437..d0d728bfab 100644 --- a/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp +++ b/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp @@ -299,7 +299,7 @@ BOOST_AUTO_TEST_CASE(ReshapeParentConstLayerTest) uint8_t tensor[] = { 1, 1, 1, 1, 1 }; - constant->m_LayerOutput = std::make_unique<ScopedCpuTensorHandle>(ConstTensor(info1, &tensor)); + constant->m_LayerOutput = std::make_unique<ScopedTensorHandle>(ConstTensor(info1, &tensor)); input->GetOutputSlot().SetTensorInfo(info0); constant->GetOutputSlot().SetTensorInfo(info1); @@ -357,7 +357,7 @@ BOOST_AUTO_TEST_CASE(ReshapeParentConstAddLayerMultipleConnectionsTest) input->GetOutputSlot().SetTensorInfo(inputInfo); constant->GetOutputSlot().SetTensorInfo(constantTermInfo); float tensor[] = { 2.0f }; - constant->m_LayerOutput = std::make_unique<ScopedCpuTensorHandle>(ConstTensor(constantTermInfo, &tensor)); + constant->m_LayerOutput = std::make_unique<ScopedTensorHandle>(ConstTensor(constantTermInfo, &tensor)); add1->GetOutputSlot().SetTensorInfo(outputInfo); input->GetOutputSlot().Connect(add1->GetInputSlot(0)); |