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| author | Vidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com> | 2018-07-04 09:34:00 +0100 |
|---|---|---|
| committer | Anthony Barbier <anthony.barbier@arm.com> | 2018-11-02 16:54:10 +0000 |
| commit | 7485d5a62685cb745ab50e970adb722cb71557ac (patch) | |
| tree | ba01b99ca466c93edc9a3f8c1e34394ff84be060 /src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp | |
| parent | 014333d73883c3872e458cedda5ccef586a7ccd4 (diff) | |
| download | ComputeLibrary-7485d5a62685cb745ab50e970adb722cb71557ac.tar.gz | |
COMPMID-970 : Remove QS8 / QS16 support
Removed fixed point related code.
Change-Id: I487acf138dace3b0450e0d72ca7071eaec254566
Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/137678
Tested-by: Jenkins <bsgcomp@arm.com>
Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp')
| -rw-r--r-- | src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp b/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp index 1748a5952b..0c8769b38f 100644 --- a/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp +++ b/src/runtime/GLES_COMPUTE/functions/GCSoftmaxLayer.cpp @@ -42,11 +42,11 @@ void GCSoftmaxLayer::configure(const IGCTensor *input, IGCTensor *output, float ARM_COMPUTE_ERROR_ON(beta != 1.0f); // Create intermediate tensors shapes - _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position())); + _tmp.allocator()->init(TensorInfo(input->info()->tensor_shape(), input->info()->num_channels(), input->info()->data_type())); TensorShape shape = input->info()->tensor_shape(); shape.set(0, 1); - TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type(), input->info()->fixed_point_position()); + TensorInfo tensor_info_max_sum(shape, input->info()->num_channels(), input->info()->data_type()); _max.allocator()->init(tensor_info_max_sum); _sum.allocator()->init(tensor_info_max_sum); |