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Diffstat (limited to 'arm_compute/core/CL/kernels/CLCol2ImKernel.h')
-rw-r--r--arm_compute/core/CL/kernels/CLCol2ImKernel.h6
1 files changed, 4 insertions, 2 deletions
diff --git a/arm_compute/core/CL/kernels/CLCol2ImKernel.h b/arm_compute/core/CL/kernels/CLCol2ImKernel.h
index 94f21b1ebc..5c047ca091 100644
--- a/arm_compute/core/CL/kernels/CLCol2ImKernel.h
+++ b/arm_compute/core/CL/kernels/CLCol2ImKernel.h
@@ -70,18 +70,20 @@ public:
* @param[out] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input
* @param[in] convolved_dims Output convolved dimensions.
+ * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution
*/
- void configure(const ICLTensor *input, ICLTensor *output, std::pair<unsigned int, unsigned int> convolved_dims);
+ void configure(const ICLTensor *input, ICLTensor *output, std::pair<unsigned int, unsigned int> convolved_dims, unsigned int num_groups = 1);
/** Static function to check if given info will lead to a valid configuration of @ref CLCol2ImKernel
*
* @param[in] input The input tensor to convert. Data types supported: QASYMM8/F16/F32
* @param[in] output The output tensor. 3 lower dimensions represent a single output [width, height, OFM],
* while the rest represent batch of outputs. Data types supported: Same as @p input
* @param[in] convolved_dims Output convolved dimensions.
+ * @param[in] num_groups (Optional) Number of groups when performing a grouped convolution
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, std::pair<unsigned int, unsigned int> convolved_dims);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, std::pair<unsigned int, unsigned int> convolved_dims, unsigned int num_groups = 1);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;