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| author | Giorgio Arena <giorgio.arena@arm.com> | 2020-02-07 13:46:45 +0000 |
|---|---|---|
| committer | Giorgio Arena <giorgio.arena@arm.com> | 2020-03-02 15:51:39 +0000 |
| commit | 1856ff7ebb29e04c3549b74d7ced336111cbf05e (patch) | |
| tree | c94654f0d8535930a81712bf7aadffd757c82577 /src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp | |
| parent | 3c4bf0c4eab5ead756c472f17ddf008b882cc905 (diff) | |
| download | ComputeLibrary-1856ff7ebb29e04c3549b74d7ced336111cbf05e.tar.gz | |
COMPMID-3097 Fuse activation with fully connected layer CL
Change-Id: I447030e69b9e565f2f81529a41af8c5e7ece7ecf
Signed-off-by: Giorgio Arena <giorgio.arena@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/2702
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com>
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Diffstat (limited to 'src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp')
| -rw-r--r-- | src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp | 11 |
1 files changed, 2 insertions, 9 deletions
diff --git a/src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp b/src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp index 5d2df6d2c9..31414e3f3f 100644 --- a/src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp +++ b/src/core/NEON/kernels/NEGEMMLowpOffsetContributionOutputStageKernel.cpp @@ -778,15 +778,8 @@ Status validate_arguments(const ITensorInfo *mm_result, const ITensorInfo *vecto int32_t a_offset, int32_t b_offset, GEMMLowpOutputStageInfo output_stage) { ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(mm_result, 1, DataType::S32); - if(output->data_type() == DataType::QASYMM8) + if(output->data_type() != DataType::QASYMM8) { - ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_max_bound > 255); - ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_min_bound < 0); - } - else - { - ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_max_bound > 127); - ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_min_bound < -128); ARM_COMPUTE_RETURN_ERROR_ON(mm_result->dimension(0) > 1 && output_stage.gemmlowp_multipliers.size() > 1 && b_offset != 0); } ARM_COMPUTE_RETURN_ERROR_ON(output_stage.gemmlowp_min_bound > output_stage.gemmlowp_max_bound); @@ -914,7 +907,7 @@ get_configured_function(const ITensor *mm_result, const ITensor *vector_sum_row, std::tie(type_min, type_max) = get_min_max(output->info()->data_type()); int32_t type_min_int = type_min.get<int32_t>(); int32_t type_max_int = type_max.get<int32_t>(); - const bool is_bounded_relu = !(output_stage.gemmlowp_min_bound == type_min_int && output_stage.gemmlowp_max_bound == type_max_int); + const bool is_bounded_relu = !(output_stage.gemmlowp_min_bound <= type_min_int && output_stage.gemmlowp_max_bound >= type_max_int); // Check if we need to perform fixed point requantization const bool is_fixed_point = output_stage.type != GEMMLowpOutputStageType::QUANTIZE_DOWN; |