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| author | Georgios Pinitas <georgios.pinitas@arm.com> | 2017-06-23 18:03:44 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-09-17 14:15:39 +0100 |
| commit | e5f8fd64a46ce61dac61fd50095a27cfd94930b5 (patch) | |
| tree | 2b43d580730cfa4ae018d06660403622d08bd00b /src/runtime/CL/functions/CLSoftmaxLayer.cpp | |
| parent | 443c8b979518ad494b9e59648cbd061ebf37cba9 (diff) | |
| download | ComputeLibrary-e5f8fd64a46ce61dac61fd50095a27cfd94930b5.tar.gz | |
COMPMID-423: Port CLSoftmaxLayer to QS8
Change-Id: I759b7585656d018d7c864425118cd3ec2ca9b0eb
Reviewed-on: http://mpd-gerrit.cambridge.arm.com/78908
Reviewed-by: Michele DiGiorgio <michele.digiorgio@arm.com>
Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com>
Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'src/runtime/CL/functions/CLSoftmaxLayer.cpp')
| -rw-r--r-- | src/runtime/CL/functions/CLSoftmaxLayer.cpp | 8 |
1 files changed, 4 insertions, 4 deletions
diff --git a/src/runtime/CL/functions/CLSoftmaxLayer.cpp b/src/runtime/CL/functions/CLSoftmaxLayer.cpp index 2a78c58053..32dc8ff107 100644 --- a/src/runtime/CL/functions/CLSoftmaxLayer.cpp +++ b/src/runtime/CL/functions/CLSoftmaxLayer.cpp @@ -36,15 +36,15 @@ CLSoftmaxLayer::CLSoftmaxLayer() void CLSoftmaxLayer::configure(const ICLTensor *input, ICLTensor *output) { - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F16, DataType::F32); - ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(output, 1, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::QS8, DataType::F16, DataType::F32); + ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output); // Create intermediate tensors shapes - _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type())); + _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); TensorShape shape = input->info()->tensor_shape(); shape.set(0, 1); - TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type()); + TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()); _max.allocator()->init(tensor_info_max_sum); _sum.allocator()->init(tensor_info_max_sum); |