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-rw-r--r--arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h4
-rw-r--r--arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h10
2 files changed, 7 insertions, 7 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
index 7767b73e10..4dce1e1801 100644
--- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h
@@ -64,7 +64,7 @@ public:
CLDeconvolutionLayer(std::shared_ptr<IMemoryManager> memory_manager = nullptr);
/** Set the input, weights, biases and output tensors.
*
- * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
+ * @param[in,out] input Input tensor. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32.
* @param[in] weights The 4d weights with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
* @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input.
* @param[out] output Output tensor. The output has the same number of dimensions as the @p input.
@@ -78,7 +78,7 @@ public:
unsigned int inner_border_right, unsigned int inner_border_top, const WeightsInfo &weights_info = WeightsInfo());
/** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayer
*
- * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: F16/F32.
+ * @param[in] input Input tensor info. 3 lower dimensions represent a single input, and an optional 4th dimension for batch of inputs. Data types supported: QASYMM8/F16/F32.
* @param[in] weights The 4d weights info with dimensions [width, height, IFM, OFM]. Data type supported: Same as @p input.
* @param[in] bias (Optional) The biases have one dimension. Data type supported: Same as @p input.
* @param[in] output Output tensor info. The output has the same number of dimensions as the @p input.
diff --git a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
index 74ee4efb2c..d2f8a78f87 100644
--- a/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
+++ b/arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017, 2018 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -55,8 +55,8 @@ public:
/** Initialize the function's source, destination, interpolation type and border_mode.
*
- * @param[in, out] input Source tensor. Data type supported: F32.
- * @param[out] output Destination tensor. Data type supported: F32.
+ * @param[in, out] input Source tensor. Data type supported: QASYMM8/F16/F32.
+ * @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] inner_border The number of zeros added to right and top edges of the input.
* @param[in] info Contains padding and policies to be used in the deconvolution.
*/
@@ -64,8 +64,8 @@ public:
const PadStrideInfo &info);
/** Static function to check if given info will lead to a valid configuration of @ref CLDeconvolutionLayerUpsample
*
- * @param[in] input Source tensor info. Data type supported: F32.
- * @param[in] output Destination tensor info. Data type supported: F32.
+ * @param[in] input Source tensor info. Data type supported: QASYMM8/F16/F32.
+ * @param[in] output Destination tensor info. Data type supported: same as @p input.
* @param[in] inner_border The number of zeros added to right and top edges of the input.
* @param[in] info Contains padding and policies to be used in the deconvolution.
*