aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
diff options
context:
space:
mode:
Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
index f1eae9a96e..acf66f8dd4 100644
--- a/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
+++ b/arm_compute/runtime/NEON/functions/NEDepthwiseConvolution.h
@@ -51,13 +51,13 @@ public:
/** Initialize the function's source, destination, kernels and border_size.
*
* @param[in, out] input Source tensor. Data type supported: F32. (Written to only for border filling).
- * @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] weights Weights tensor. These are 3D tensors with shape [3, 3, IFM]. Data type supported: Same as @p input.
* @param[in] biases (Optional) Biases tensor. A 1D tensor with shape [IFM]. Must be nullptr if not needed.
* Data type supported: Same as @p input.
+ * @param[out] output Destination tensor. Data type supported: same as @p input.
* @param[in] conv_info Padding and stride information to use for the convolution.
*/
- void configure(ITensor *input, ITensor *output, const ITensor *weights, const ITensor *biases, const PadStrideInfo &conv_info);
+ void configure(ITensor *input, const ITensor *weights, const ITensor *biases, ITensor *output, const PadStrideInfo &conv_info);
// Inherited methods overriden:
void run() override;