commit f9b595adbdc3f6f51ffa2c1f2aa70d0262d0db2d
author Michele Di Giorgio <michele.digiorgio@arm.com> Fri Jul 03 13:34:52 2020 +0100
committer Michele Di Giorgio <michele.digiorgio@arm.com> Tue Jul 07 15:25:46 2020 +0000
tree 382f3ab76355de2ed5114a5e4bfc7e8f7c0422f4
parent 0cc50ed757f06f4f076e261cb7253dd67264dec6

COMPMID-3532: Align data type support between doxygen and implementation - NEON

Change-Id: I70662cfb43890873b706b3f22b348f5d8cdd63ca
Signed-off-by: Michele Di Giorgio <michele.digiorgio@arm.com>
Reviewed-on: https://review.mlplatform.org/c/ml/ComputeLibrary/+/3506
Tested-by: Arm Jenkins <bsgcomp@arm.com>
Reviewed-by: Manuel Bottini <manuel.bottini@arm.com>
Reviewed-by: Sheri Zhang <sheri.zhang@arm.com>
Comments-Addressed: Arm Jenkins <bsgcomp@arm.com>

arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h

diff --git a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
index e7da100..8bff3ba 100644
--- a/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEGEMMConvolutionLayer.h
@@ -64,21 +64,21 @@
     /** Set the input and output tensors.
      *
      * @param[in]  weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
-     *                     Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
+     *                     Data type supported: All.
      * @param[in]  biases  Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
-     *                     Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED, FP32 if @p weights is BFLOAT16
-     * @param[out] output  Destination tensor.
-     *                     Data types supported: Same as @p weights, FP32 if @p weights is BFLOAT16
+     *                     Data type supported: same as @p weights.
+     *                     @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
+     * @param[out] output  Destination tensor. Data types supported: same as @p weights.
      */
     void configure(const ITensor *weights, const ITensor *biases, ITensor *output);
     /** Static function to check if given info will lead to a valid configuration of @ref NEConvolutionLayerReshapeWeights
      *
      * @param[in] weights Weights tensor info. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
-     *                    Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/BFLOAT16/F16/F32.
+     *                    Data type supported: All.
      * @param[in] biases  Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM].
-     *                    Data type supported: Same as @p weights, S32 if @p weights is QASYMM8/QASYMM8_SIGNED, FP32 if @p weights is BFLOAT16
-     * @param[in] output  Destination tensor.
-     *                    Data types supported: Same as @p weights FP32 if @p weights is BFLOAT16
+     *                    Data type supported: same as @p weights.
+     *                    @warning Appending biases to weights reshaped matrix is not supported for quantized asymmetric types.
+     * @param[in] output  Destination tensor. Data types supported: same as @p weights.
      *
      * @return an error status
      */