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Diffstat (limited to 'arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h')
-rw-r--r--arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h13
1 files changed, 11 insertions, 2 deletions
diff --git a/arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h b/arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h
index 654dfad701..6519ac72fe 100644
--- a/arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h
+++ b/arm_compute/core/NEON/kernels/NEPoolingLayerKernel.h
@@ -57,8 +57,9 @@ public:
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[out] output Destination tensor. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+ * @param[out] indices (optional) The indices of the maximal values. Data type supported: U32.
*/
- void configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info);
+ void configure(const ITensor *input, ITensor *output, const PoolingLayerInfo &pool_info, ITensor *indices = nullptr);
/** Static function to check if given info will lead to a valid configuration of @ref NEPoolingLayerKernel
*
* @note F16 are supported for pool sizes 2 and 3 only
@@ -66,10 +67,11 @@ public:
* @param[in] input Source tensor. Data types supported: QASYMM8/QASYMM8_SIGNED/F16/F32.
* @param[in] output Destination tensor. Data types supported: Same as @p input.
* @param[in] pool_info Contains pooling operation information described in @ref PoolingLayerInfo.
+ * @param[in] indices (optional) The indices of the maximal values. Data type supported: U32.
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info);
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PoolingLayerInfo &pool_info, const ITensorInfo *indices = nullptr);
// Inherited methods overridden:
void run(const Window &window, const ThreadInfo &info) override;
@@ -84,6 +86,12 @@ private:
* @param[in] exclude_padding Flag to specify exclusion of padding from the operation.
*/
void pooling2_f32_nchw(const Window &window_input, const Window &window, PoolingType pooling_type, bool exclude_padding = false);
+ /** Function to perform 2x2 pooling and compute the pooling indices. The indices can be used for max unpool.
+ *
+ * @param[in] window_input Input region on which to execute the kernel.
+ * @param[in] window Output region on which to execute the kernel.
+ */
+ void pooling2_f32_nchw_maxpool_indices(const Window &window_input, const Window &window);
/** Function to perform MxN pooling for 32-bit floating point values.
*
* @param[in] window_input Input region on which to execute the kernel.
@@ -197,6 +205,7 @@ private:
PoolingFunction _func;
const ITensor *_input;
ITensor *_output;
+ ITensor *_indices;
PoolingLayerInfo _pool_info;
DataLayout _data_layout;
unsigned int _num_elems_processed_per_iteration;