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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
index ce034cd9ba..4952029c9d 100644
--- a/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLGEMMConvolutionLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2019 ARM Limited.
+ * Copyright (c) 2017-2020 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -56,7 +56,7 @@ public:
/** 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/QSYMM8_PER_CHANNEL/F16/F32.
+ * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/F16/F32.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
* @param[out] output Destination tensor. Data types supported: Same as @p weights.
* @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
@@ -65,7 +65,7 @@ public:
/** Static function to check if given info will lead to a valid configuration of @ref CLConvolutionLayerReshapeWeights
*
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM].
- * Data type supported: QASYMM8/QSYMM8_PER_CHANNEL/F16/F32.
+ * Data type supported: QASYMM8/QASYMM8_SIGNED/QSYMM8_PER_CHANNEL/F16/F32.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported: Same as @p weights.
* @param[in] output Destination tensor. Data types supported: Same as @p weights.
* @param[in] num_groups (Optional) Number of groups when performing a grouped convolution. num_groups != 1 is only supported for NCHW data layout
@@ -88,7 +88,7 @@ class CLConvolutionLayerReshapeWeightsTransform : public ITransformWeights
public:
/** Configures the @ref CLConvolutionLayerReshapeWeights function
*
- * @param[in] input Input tensor. Data type supported: QASYMM8/F16/F32.
+ * @param[in] input Input tensor. Data type supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] biases Biases tensor. Data type supported: Same as @p input.
* @param[in] num_groups Number of groups when performing a grouped convolution.
*/