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authorGian Marco Iodice <gianmarco.iodice@arm.com>2017-07-05 20:05:23 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-09-17 14:15:39 +0100
commit7d323a6adca97c130a0fc7c6299c75d581906edd (patch)
tree666be55f734cf5493641f3d99ba0afd12cf362f7 /arm_compute/runtime/CL/functions/CLConvolutionLayer.h
parentab0a77edcb9f48de2aad216323b791d0dd95a3cd (diff)
downloadComputeLibrary-7d323a6adca97c130a0fc7c6299c75d581906edd.tar.gz
COMPMID-440, COMPMID-441 - Port CLConvolutionLayer and CLFullyConnectedLayer to support 16 bit fixed point
Change-Id: I8d8ef2cb5ec453eb83fba8d8077550b96ed4bceb Reviewed-on: http://mpd-gerrit.cambridge.arm.com/79837 Reviewed-by: Moritz Pflanzer <moritz.pflanzer@arm.com> Reviewed-by: Georgios Pinitas <georgios.pinitas@arm.com> Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com>
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLConvolutionLayer.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
index 50a7dc95eb..aba88bd856 100644
--- a/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLConvolutionLayer.h
@@ -53,7 +53,7 @@ public:
CLConvolutionLayerReshapeWeights();
/** 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: QS8/F16/F32.
+ * @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported: QS8/QS16/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] transpose1xW True if the weights are to undergo a 1xW transposition after reshaping (in case of GEMM operation), false otherwise.
@@ -88,7 +88,7 @@ public:
*
* @param[in] input Source tensor. 3 lower dimensions represent a single input [width, height, IFM],
* while every optional dimension from 4 and above represent a batch of inputs.
- * Data types supported: QS8/F16/F32.
+ * Data types supported: QS8/QS16/F16/F32.
* @param[in] weights Weights tensor. Weights are 4D tensor with dimensions [kernel_x, kernel_y, IFM, OFM]. Data type supported:Same as @p input.
* @param[in] biases Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. Data type supported:Same as @p input.
* @param[out] output Destination tensor. 3 lower dimensions represent a single output [width, height, OFM], while the rest represent batch of outputs.