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author | Cathal Corbett <cathal.corbett@arm.com> | 2021-10-22 11:12:07 +0100 |
---|---|---|
committer | David Monahan <david.monahan@arm.com> | 2021-11-08 19:05:11 +0000 |
commit | 5b8093c17044e8eaaaa42d96ba4902dee5791be4 (patch) | |
tree | 7f49f91e76f171041fe51c2c078b9271aa220b48 /src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp | |
parent | d69cb904415621b066599dc20164bdb71558dc14 (diff) | |
download | armnn-5b8093c17044e8eaaaa42d96ba4902dee5791be4.tar.gz |
IVGCVSW-6420: Constant flag in tensor info is not set correctly
!android-nn-driver:6532
!armnn-internal-tests:372451
* Made fix to 2 out of 3 ConstTensor() constructors in Tensor.hpp to
throw InvalidArgumentException when TensorInfo isConstant parameter
is false.
* Added new ConstTensor() constructor in Tensor.cpp to accept vector<>.data()
using template<typename MemoryType>.
* Fixed runtime->GetOutputTensorInfo()/GetInputTensorInfo() methods and
called submethods to return TensorInfo& rather than TensorInfo.
* Fixed all failing unit tests for CpuRef/CpuAcc/GpuAcc to ensure any
ConstTensor created has it's TensorInfo isConstant set to true.
* Added unit tests in TensorTest.cpp to ensure ConstTensor constructors
throw InvalidArgumentException when TensorInfo isConstat parameter is
false.
* Added unit test to ensure an empty ConstTensor constructor will set
TensorInfo isConatant to true.
* Indentation fixes.
* Fix to arm_tensor.i to add isConstant parameter to TensorInfo
constructor. Added methods IsConstant() and SetConstant().
* Fix to const_tensor.py to throw ValueError when TensorInfo
isConstant is set to false when constructing a ConstTensor.
* Fixed PyArmnn unit tests to set TensorInfo isConstant to
True when ConstTensor is used.
* Added unit tests in test_const_tensor.py to ensure ConstTensor
constructors throw ValueError when TensorInfo isConstat parameter
is false.
Signed-off-by: Cathal Corbett <cathal.corbett@arm.com>
Change-Id: I44e440dd0422c366d31bbdbc77ad2b4db0bde148
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 36a4507fc3..7573005518 100644 --- a/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp +++ b/src/armnn/test/optimizations/AddBroadcastReshapeLayerTests.cpp @@ -290,7 +290,7 @@ TEST_CASE("ReshapeParentConstLayerTest") { Graph graph; const TensorInfo info0({ 1, 2, 3, 5 }, DataType::QAsymmU8); - const TensorInfo info1({ 5 }, DataType::QAsymmU8); + const TensorInfo info1({ 5 }, DataType::QAsymmU8, 0.0f, 0, true); const TensorInfo outputInfo({ 1, 2, 3, 5 }, DataType::QAsymmU8); auto input = graph.AddLayer<InputLayer>(0, "input"); @@ -346,7 +346,7 @@ TEST_CASE("ReshapeParentConstAddLayerMultipleConnectionsTest") // What we'll do is have two sequential add layers both using the same const tensor. Graph graph; const TensorInfo inputInfo({ 1, 512 }, DataType::Float32); - const TensorInfo constantTermInfo({ 1 }, DataType::Float32); + const TensorInfo constantTermInfo({ 1 }, DataType::Float32, 0.0f, 0, true); const TensorInfo outputInfo({ 1, 512 }, DataType::Float32); auto input = graph.AddLayer<InputLayer>(0, "input"); |