aboutsummaryrefslogtreecommitdiff
path: root/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
diff options
context:
space:
mode:
Diffstat (limited to 'arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h')
-rw-r--r--arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h8
1 files changed, 4 insertions, 4 deletions
diff --git a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
index 7cf5f64115..7c35c2a4af 100644
--- a/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
+++ b/arm_compute/runtime/CL/functions/CLDepthwiseConvolution.h
@@ -52,13 +52,13 @@ public:
/** Initialize the function's source, destination, conv 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. A 3D tensor 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(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info);
+ void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
// Inherited methods overriden:
void run() override;
@@ -84,13 +84,13 @@ public:
/** Initialize the function's source, destination, weights and convolution information.
*
* @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 [kernel_x, kernel_y, 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(ICLTensor *input, ICLTensor *output, const ICLTensor *weights, const ICLTensor *biases, const PadStrideInfo &conv_info);
+ void configure(ICLTensor *input, const ICLTensor *weights, const ICLTensor *biases, ICLTensor *output, const PadStrideInfo &conv_info);
// Inherited methods overriden:
void run() override;