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| author | Sang-Hoon Park <sang-hoon.park@arm.com> | 2019-11-11 17:33:28 +0000 |
|---|---|---|
| committer | Sang-Hoon Park <sang-hoon.park@arm.com> | 2019-11-12 11:23:42 +0000 |
| commit | eaa01ab593428bc7267ebbe107b2d813a11b64b5 (patch) | |
| tree | 80e0af6b7ed0a82387080d6abb6c0a04d9f1d509 /tests/validation/fixtures/ArgMinMaxFixture.h | |
| parent | 75041a1cb81c59a5a5ddd9b708476c0142362d9e (diff) | |
| download | ComputeLibrary-eaa01ab593428bc7267ebbe107b2d813a11b64b5.tar.gz | |
COMPMID-2671 use Signed32 for default output data type of ArgMinMax
Signed32 is used as data types before and after reshaping of ArgMinMax.
Change-Id: I230af43a931d4e106de6c72f716ced1dab511084
Signed-off-by: Sang-Hoon Park <sang-hoon.park@arm.com>
Reviewed-on: https://review.mlplatform.org/c/2262
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Giorgio Arena <giorgio.arena@arm.com>
Diffstat (limited to 'tests/validation/fixtures/ArgMinMaxFixture.h')
| -rw-r--r-- | tests/validation/fixtures/ArgMinMaxFixture.h | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/tests/validation/fixtures/ArgMinMaxFixture.h b/tests/validation/fixtures/ArgMinMaxFixture.h index f8fe4ff1ee..a4d03fba02 100644 --- a/tests/validation/fixtures/ArgMinMaxFixture.h +++ b/tests/validation/fixtures/ArgMinMaxFixture.h @@ -114,7 +114,7 @@ protected: return dst; } - SimpleTensor<uint32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info) + SimpleTensor<int32_t> compute_reference(TensorShape &src_shape, DataType data_type, int axis, ReductionOperation op, QuantizationInfo q_info) { // Create reference SimpleTensor<T> src{ src_shape, data_type, 1, q_info }; @@ -123,11 +123,11 @@ protected: fill(src); TensorShape output_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(src_shape, axis, false); - return reference::reduction_operation<T, uint32_t>(src, output_shape, axis, op); + return reference::reduction_operation<T, int32_t>(src, output_shape, axis, op); } - TensorType _target{}; - SimpleTensor<uint32_t> _reference{}; + TensorType _target{}; + SimpleTensor<int32_t> _reference{}; }; template <typename TensorType, typename AccessorType, typename FunctionType, typename T> |