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authorVidhya Sudhan Loganathan <vidhyasudhan.loganathan@arm.com>2018-07-04 15:13:14 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:54:10 +0000
commitf4cb81be294a1075ce3ce7d11dd60bdee5505ce9 (patch)
tree33e903042fab84a7f469855078131bd3fd01df4e /arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
parent060c4b784b1e66f937369e420fa97c7fb71d5fd4 (diff)
downloadComputeLibrary-f4cb81be294a1075ce3ce7d11dd60bdee5505ce9.tar.gz
COMPMID-970 : Remove QS8 / QS16 support
Removed QS32 references Change-Id: Ic7df02c08ae7aa1b7dcae15bdda113321af851b8 Reviewed-on: https://eu-gerrit-1.euhpc.arm.com/138703 Tested-by: Jenkins <bsgcomp@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h b/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
index f5e2f0de89..b85f93e992 100644
--- a/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
+++ b/arm_compute/core/CL/kernels/CLConvertFullyConnectedWeightsKernel.h
@@ -55,7 +55,7 @@ public:
~CLConvertFullyConnectedWeightsKernel() = default;
/** Set the input and output tensor.
*
- * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/QS32/F16/F32.
+ * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
* @param[out] output The converted weights tensor. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
* @param[in] data_layout The data layout the weights have been trained in.
@@ -63,7 +63,7 @@ public:
void configure(const ICLTensor *input, ICLTensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
/** Static function to check if given info will lead to a valid configuration of @ref CLConvertFullyConnectedWeightsKernel
*
- * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/QS32/F16/F32.
+ * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QASYMM8/U16/S16/U32/S32/F16/F32.
* @param[in] output The converted weights tensor info. Shape and Data Type: Same as @p input.
* @param[in] original_input_shape Shape of the original input tensor (the one entering fully connected layer). Must be in NCHW format.
* @param[in] data_layout The data layout the weights have been trained in.