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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/core/CL/kernels/CLWeightsReshapeKernel.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/core/CL/kernels/CLWeightsReshapeKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
index 7a54284199..664fc3c216 100644
--- a/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
+++ b/arm_compute/core/CL/kernels/CLWeightsReshapeKernel.h
@@ -69,7 +69,7 @@ public:
/** Set the input and output of the kernel.
*
* @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
- * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/QASYMM8/F16/F32
+ * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QASYMM8/F16/F32
* @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
* dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
* @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
@@ -79,7 +79,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLWeightsReshapeKernel
*
* @param[in] input The input tensor to convert. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM] if shared,
- * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QS8/QS16/QASYMM8/F16/F32
+ * and 5D tensor with dimensions [kernel_x, kernel_y, IFM, OFM, num_patches] if unshared. Data types supported: QASYMM8/F16/F32
* @param[in] biases The shared biases tensor to append. Bias is 1D tensor with dimensions [OFM] if shared and 2D tensor with
* dimensions [OFM, num_patches] if unshared. Data types supported: Same as @p input
* @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.