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Diffstat (limited to 'arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h10
1 files changed, 6 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h
index 594d6028e1..683aa79788 100644
--- a/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h
+++ b/arm_compute/runtime/CL/functions/CLWinogradConvolutionLayer.h
@@ -59,8 +59,9 @@ public:
CLWinogradConvolutionLayer &operator=(CLWinogradConvolutionLayer &&) = default;
/** Set the input and output tensors.
*
- * @note: This function only works with 3x3 and 5x5 kernels along with unit strides
- * @note Some Winograd configurations (i.e. F(4x4, 3x3) and F(4x4, 5x5)) are supported only with enable_fast_math = true
+ * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for NCHW data layout
+ * @note: This function only works with 3x3, 3x1, 1x3 and 5x5 kernels along with unit strides for NHWC data layout
+ * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true
*
* @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.
@@ -78,8 +79,9 @@ public:
const ActivationLayerInfo &act_info = ActivationLayerInfo(), bool enable_fast_math = false);
/** Static function to check if given info will lead to a valid configuration of @ref CLWinogradConvolutionLayer
*
- * @note: This function only works with 3x3 and 5x5 kernels along with unit strides
- * @note Some Winograd configurations (i.e. F(4x4, 3x3) and F(4x4, 5x5)) are supported only with enable_fast_math = true
+ * @note: This function only works with 3x3,3x1,1x3,5x5,5x1 and 1x5 kernels along with unit strides for NCHW data layout
+ * @note: This function only works with 3x3 and 5x5 kernels along with unit strides for NHWC data layout
+ * @note Some Winograd configurations (i.e. F(4x4, 5x5)) are supported only with enable_fast_math = true
*
* @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.