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-rw-r--r--arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h8
-rw-r--r--arm_compute/runtime/CL/functions/CLDeconvolutionLayer.h4
-rw-r--r--arm_compute/runtime/CL/functions/CLDeconvolutionLayerUpsample.h10
3 files changed, 11 insertions, 11 deletions
diff --git a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h
index d63f5d4907..5ccf4e64ed 100644
--- a/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h
+++ b/arm_compute/core/CL/kernels/CLDeconvolutionLayerUpsampleKernel.h
@@ -50,16 +50,16 @@ public:
/** Initialise the kernel's input and output.
*
- * @param[in] input Source tensor. Data types supported: F16/F32.
- * @param[out] output Destination tensor. Data types supported: F16/F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
+ * @param[in] input Source tensor. Data types supported: QASYMM8/F16/F32.
+ * @param[out] output Destination tensor. Data types supported: same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] inner_border Top and right inner border sizes. These rows and columns will be filled with zero.
* @param[in] info Contains padding and stride information described in @ref PadStrideInfo.
*/
void configure(const ICLTensor *input, ICLTensor *output, const BorderSize &inner_border, 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 types supported: F16/F32.
- * @param[in] output Destination tensor info. Data types supported: F16/F32. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
+ * @param[in] input Source tensor info. Data types supported: QASYMM8/F16/F32.
+ * @param[in] output Destination tensor info. Data types supported: same as @p input. All but the lowest two dimensions must be the same size as in the input tensor, i.e. scaling is only performed within the XY-plane.
* @param[in] inner_border Top and right inner border sizes. These rows and columns will be filled with zero.
* @param[in] info Contains padding and stride information described in @ref PadStrideInfo.
*
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.
*