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authorGeorgios Pinitas <georgios.pinitas@arm.com>2017-10-19 18:35:59 +0100
committerAnthony Barbier <anthony.barbier@arm.com>2018-11-02 16:35:24 +0000
commit13fc22c3c3f609489e53ec706026a2a7991bf367 (patch)
tree871d9c949ce9d10f0d65ffa37365b9bd28779e3b /src/core/CL/cl_kernels/pooling_layer.cl
parent4398becc0ae11f346e1669a9b5210ef389bd8012 (diff)
downloadComputeLibrary-13fc22c3c3f609489e53ec706026a2a7991bf367.tar.gz
COMPMID-556: Fix CLPoolingLayer checks
Change-Id: Ib76554adf00fb3c1943da634dc948089843f0e78 Reviewed-on: http://mpd-gerrit.cambridge.arm.com/92439 Tested-by: Kaizen <jeremy.johnson+kaizengerrit@arm.com> Reviewed-by: Anthony Barbier <anthony.barbier@arm.com>
Diffstat (limited to 'src/core/CL/cl_kernels/pooling_layer.cl')
-rw-r--r--src/core/CL/cl_kernels/pooling_layer.cl4
1 files changed, 2 insertions, 2 deletions
diff --git a/src/core/CL/cl_kernels/pooling_layer.cl b/src/core/CL/cl_kernels/pooling_layer.cl
index 99d7e6e01b..5304c71adf 100644
--- a/src/core/CL/cl_kernels/pooling_layer.cl
+++ b/src/core/CL/cl_kernels/pooling_layer.cl
@@ -515,7 +515,7 @@ __kernel void pooling_layer_7(
/** Performs a pooling function of pool size equal to N
*
- * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16/F32;
+ * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are QS8/QS16/F16/F32;
* @note -DFP16 must be passed at compile time if half float data type is used
* @note Pool size must be passed using -DPOOL_SIZE e.g. -DPOOL_SIZE=13;
* @note In case of average pooling the following information must be passed at compile time:
@@ -524,7 +524,7 @@ __kernel void pooling_layer_7(
* -DSTRIDE_X and -DSTRIDE_Y which are the steps of the window along the x and y directions
* -DPAD_X and -DPAD_Y which are the pooling paddings in x and y dimension
*
- * @param[in] input_ptr Pointer to the source image. Supported data types: F16/F32
+ * @param[in] input_ptr Pointer to the source image. Supported data types: QS8/QS16/F16/F32
* @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
* @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
* @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)