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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 /src/runtime/NEON/functions/NEReductionOperation.cpp | |
| 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 'src/runtime/NEON/functions/NEReductionOperation.cpp')
| -rw-r--r-- | src/runtime/NEON/functions/NEReductionOperation.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/NEON/functions/NEReductionOperation.cpp b/src/runtime/NEON/functions/NEReductionOperation.cpp index 09cd765d4b..397fe21cb9 100644 --- a/src/runtime/NEON/functions/NEReductionOperation.cpp +++ b/src/runtime/NEON/functions/NEReductionOperation.cpp @@ -80,7 +80,7 @@ Status NEReductionOperation::validate(const ITensorInfo *input, const ITensorInf const auto input_num_channles = input->num_channels(); const auto input_qinfo = input->quantization_info(); const auto is_arg_min_max = (op == ReductionOperation::ARG_IDX_MAX) || (op == ReductionOperation::ARG_IDX_MIN); - const auto output_data_type = is_arg_min_max ? DataType::U32 : output->data_type(); + const auto output_data_type = is_arg_min_max ? DataType::S32 : output->data_type(); info_before_reshape.set_data_type(output_data_type).set_tensor_shape(shape_before_reshape).set_num_channels(input_num_channles).set_quantization_info(input_qinfo); @@ -110,7 +110,7 @@ void NEReductionOperation::configure(ITensor *input, ITensor *output, unsigned i { const auto output_internal_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis); const auto output_external_shape = arm_compute::misc::shape_calculator::compute_reduced_shape(input->info()->tensor_shape(), axis, false); - const auto output_data_type = is_arg_min_max ? DataType::U32 : input->info()->data_type(); + const auto output_data_type = is_arg_min_max ? DataType::S32 : input->info()->data_type(); const auto num_channels = input->info()->num_channels(); const auto qinfo = input->info()->quantization_info(); |