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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-11-29 11:06:49 +0000 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:41:58 +0000 |
| commit | 45bcc3a1c287a208098ae99288273a5129ddd5eb (patch) | |
| tree | f4f957dbc76f8e8e9a4871b16652e1033bcd4c73 /src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp | |
| parent | 303be90ee1f03f75309b421297ba16428ea98ea5 (diff) | |
| download | ComputeLibrary-45bcc3a1c287a208098ae99288273a5129ddd5eb.tar.gz | |
COMPMID-661: QASYMM8 support for fully connected layer.
Change-Id: I70e04d3a175ba366432ada98e9ca893c9f81b260
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/111094
Reviewed-by: Gian Marco Iodice <gianmarco.iodice@arm.com>
Tested-by: BSG Visual Compute Jenkins server to access repositories on http://mpd-gerrit.cambridge.arm.com <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp')
| -rw-r--r-- | src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp | 31 |
1 files changed, 16 insertions, 15 deletions
diff --git a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp index 96919fe3cb..d49aed3171 100644 --- a/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp +++ b/src/core/CL/kernels/CLGEMMLowpOffsetContributionKernel.cpp @@ -62,9 +62,6 @@ void CLGEMMLowpOffsetContributionKernel::configure(ICLTensor *mm_result, const I ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_col, 1, DataType::S32); ARM_COMPUTE_ERROR_ON(vector_sum_col->info()->dimension(0) != mm_result->info()->dimension(0)); - TensorShape vector_sum_col_shape = vector_sum_col->info()->tensor_shape(); - vector_sum_col_shape.collapse(1); - build_opts.add_option("-DA_OFFSET=" + support::cpp11::to_string(a_offset)); } @@ -74,21 +71,25 @@ void CLGEMMLowpOffsetContributionKernel::configure(ICLTensor *mm_result, const I ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(vector_sum_row, 1, DataType::S32); ARM_COMPUTE_ERROR_ON(vector_sum_row->info()->dimension(0) != mm_result->info()->dimension(1)); - TensorShape output_shape = mm_result->info()->tensor_shape(); - TensorShape vector_sum_row_shape = vector_sum_row->info()->tensor_shape(); - vector_sum_row_shape.collapse(1); - output_shape.collapse(2); + // Validate batches + TensorShape output_shape = mm_result->info()->tensor_shape(); + if(output_shape.num_dimensions() > 1) + { + TensorShape vector_sum_row_shape = vector_sum_row->info()->tensor_shape(); + vector_sum_row_shape.collapse_from(1); + output_shape.collapse_from(2); - ARM_COMPUTE_ERROR_ON_MSG(vector_sum_row_shape[1] != output_shape[2], "mm_result tensor must have the same number of batches of output tensor"); + ARM_COMPUTE_ERROR_ON_MSG(vector_sum_row_shape[1] != output_shape[2], "mm_result tensor must have the same number of batches of output tensor"); - if(a_offset != 0) - { - TensorShape vector_sum_col_shape = vector_sum_col->info()->tensor_shape(); - vector_sum_col_shape.collapse(1); + if(a_offset != 0) + { + TensorShape vector_sum_col_shape = vector_sum_col->info()->tensor_shape(); + vector_sum_col_shape.collapse_from(1); - ARM_COMPUTE_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 - && vector_sum_col_shape[1] != vector_sum_row_shape[1], - "vector_sum_col tensor must have the same number of batches of vector_sum_row_shape or the number of batches must be set to 1"); + ARM_COMPUTE_ERROR_ON_MSG(vector_sum_col_shape[1] != 1 + && vector_sum_col_shape[1] != vector_sum_row_shape[1], + "vector_sum_col tensor must have the same number of batches of vector_sum_row_shape or the number of batches must be set to 1"); + } } build_opts.add_option("-DB_OFFSET=" + support::cpp11::to_string(b_offset)); |