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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-07-04 09:34:00 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:10 +0000
commit7485d5a62685cb745ab50e970adb722cb71557ac (patch)
treeba01b99ca466c93edc9a3f8c1e34394ff84be060 /src/core/CL/kernels/CLReshapeLayerKernel.cpp
parent014333d73883c3872e458cedda5ccef586a7ccd4 (diff)
downloadComputeLibrary-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/core/CL/kernels/CLReshapeLayerKernel.cpp')
-rw-r--r--src/core/CL/kernels/CLReshapeLayerKernel.cpp7
1 files changed, 3 insertions, 4 deletions
diff --git a/src/core/CL/kernels/CLReshapeLayerKernel.cpp b/src/core/CL/kernels/CLReshapeLayerKernel.cpp
index 15897c9dd7..ce9d7fff67 100644
--- a/src/core/CL/kernels/CLReshapeLayerKernel.cpp
+++ b/src/core/CL/kernels/CLReshapeLayerKernel.cpp
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -47,12 +47,11 @@ CLReshapeLayerKernel::CLReshapeLayerKernel()
void CLReshapeLayerKernel::configure(const ICLTensor *input, ICLTensor *output)
{
ARM_COMPUTE_ERROR_ON_F16_UNSUPPORTED(input);
- ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QS8, DataType::QASYMM8,
- DataType::U16, DataType::S16, DataType::QS16,
+ ARM_COMPUTE_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::U8, DataType::S8, DataType::QASYMM8,
+ DataType::U16, DataType::S16,
DataType::U32, DataType::S32, DataType::F16, DataType::F32);
ARM_COMPUTE_ERROR_ON_NULLPTR(output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
- ARM_COMPUTE_ERROR_ON_MISMATCHING_FIXED_POINT(input, output);
ARM_COMPUTE_ERROR_ON_MISMATCHING_QUANTIZATION_INFO(input, output);
ARM_COMPUTE_ERROR_ON(input->info()->tensor_shape().total_size() != output->info()->tensor_shape().total_size());