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Diffstat (limited to 'arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
index bab93de4b0..3bbbb5834c 100644
--- a/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
+++ b/arm_compute/core/CL/kernels/CLWinogradOutputTransformKernel.h
@@ -59,7 +59,7 @@ public:
*
* Strides: only unit strides
*
- * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32.
+ * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo
@@ -78,7 +78,7 @@ public:
*
* Strides: only unit strides
*
- * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F32.
+ * @param[in] input Source tensor with shape [C, N, K, batches]. Data types supported: F16/F32.
* @param[in] bias Biases tensor. Shared biases supported. Biases are 1D tensor with dimensions [OFM]. It can be a nullptr. Data type supported: as @p input
* @param[out] output The output tensor. The shape for this tensor can be calculated using the utility function @p compute_winograd_output_transform_shape. Data types supported: Same as @p input
* @param[in] winograd_info Contains Winograd's information described in @ref WinogradInfo