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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 /arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h
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 'arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h b/arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h
index bdb157f30b..3ec0390124 100644
--- a/arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h
+++ b/arm_compute/runtime/NEON/functions/NEConvertFullyConnectedWeights.h
@@ -40,7 +40,7 @@ public:
NEConvertFullyConnectedWeights();
/** Initialize the function.
*
- * @param[in] input Source weights tensor to convert. Must be 2 dimensional. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/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/QS32/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.
@@ -48,7 +48,7 @@ public:
void configure(const ITensor *input, ITensor *output, const TensorShape &original_input_shape, DataLayout data_layout);
/** Static function to check if given info will lead to a valid configuration of @ref NEConvertFullyConnectedWeights
*
- * @param[in] input Source weights tensor info to convert. Must be 2 dimensional. Data types supported: U8/S8/QS8/QASYMM8/U16/S16/QS16/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/QS32/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.