aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h
diff options
context:
space:
mode:
Diffstat (limited to 'arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h4
1 files changed, 2 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h b/arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h
index 4d4c288533..1eca33ffb7 100644
--- a/arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h
+++ b/arm_compute/core/CL/kernels/CLDepthwiseConvolution3x3Kernel.h
@@ -48,13 +48,13 @@ public:
/** Initialize the function's source, destination, conv and border_size.
*
* @param[in] input Source tensor. DataType supported: F32.
- * @param[out] output Destination tensor. Data type supported: Same as @p input.
* @param[in] weights Weights tensor. A 3D tensor with dimensions [3, 3, IFM]. Data type supported: Same as @p input.
* @param[in] biases (Optional) Biases tensor. A 1D tensor with dimensions [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(const ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info);
+ void configure(const ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;