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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEPadLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEPadLayer.h44
1 files changed, 36 insertions, 8 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEPadLayer.h b/arm_compute/runtime/NEON/functions/NEPadLayer.h
index 3a0863802a..78dbc1f1f9 100644
--- a/arm_compute/runtime/NEON/functions/NEPadLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEPadLayer.h
@@ -25,17 +25,17 @@
#define __ARM_COMPUTE_NEPADLAYER_H__
#include "arm_compute/runtime/IFunction.h"
+#include "arm_compute/runtime/NEON/functions/NEConcatenateLayer.h"
+#include "arm_compute/runtime/NEON/functions/NEStridedSlice.h"
#include "arm_compute/runtime/SubTensor.h"
#include "arm_compute/core/NEON/kernels/NECopyKernel.h"
#include "arm_compute/core/NEON/kernels/NEMemsetKernel.h"
#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/Tensor.h"
namespace arm_compute
{
-// Forward declarations
-class ITensor;
-
/** Basic function to pad a tensor. This function calls the following NEON kernels:
*
* -# @ref NEMemsetKernel
@@ -53,8 +53,10 @@ public:
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding
+ * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
+ * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
*/
- void configure(ITensor *input, ITensor *output, const PaddingList &padding, PixelValue constant_value = PixelValue());
+ void configure(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
/** Static function to check if given info will lead to a valid configuration of @ref NEPadLayer.
*
* @param[in] input Source tensor info. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
@@ -62,18 +64,44 @@ public:
* @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
* specifies the front and the end padding in the i-th dimension.
* @param[in] constant_value (Optional) Constant value to be used for the padding
+ * @param[in] mode (Optional) Controls whether the padding should be filled with @p constant_value using CONSTANT,
+ * or reflect the input, either including the border values (SYMMETRIC) or not (REFLECT).
*
* @return a status
*/
- static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, PixelValue constant_value = PixelValue());
+ static Status validate(const ITensorInfo *input, const ITensorInfo *output, const PaddingList &padding, const PixelValue constant_value = PixelValue(), const PaddingMode mode = PaddingMode::CONSTANT);
// Inherited methods overridden:
void run() override;
private:
- NEMemsetKernel _memset_kernel;
- NECopyKernel _copy_kernel;
- SubTensor _output_subtensor;
+ /** Configure kernels for when constant padding is used.
+ *
+ * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[out] output Output tensor. Data type supported: same as @p input
+ * @param[in] padding The padding for each spatial dimension of the input tensor. The pair padding[i]
+ * specifies the front and the end padding in the i-th dimension.
+ * @param[in] constant_value Constant value to be used for the padding
+ */
+ void configure_constant_mode(ITensor *input, ITensor *output, const PaddingList &padding, const PixelValue constant_value);
+ /** Configure functions for when reflect or symmetric padding is used.
+ *
+ * @param[in] input Source tensor. Data types supported: U8/S8/QASYMM8/U16/S16/F16/U32/S32/F32.
+ * @param[out] output Output tensor. Data type supported: same as @p input
+ */
+ void configure_reflect_symmetric_mode(ITensor *input, ITensor *output);
+
+private:
+ NECopyKernel _copy_kernel;
+ PaddingMode _mode;
+ PaddingList _padding;
+ NEMemsetKernel _memset_kernel;
+ uint32_t _num_dimensions;
+ std::unique_ptr<NEStridedSlice[]> _slice_functions;
+ std::unique_ptr<NEConcatenateLayer[]> _concat_functions;
+ std::unique_ptr<Tensor[]> _slice_results;
+ std::unique_ptr<Tensor[]> _concat_results;
+ SubTensor _output_subtensor;
};
} // namespace arm_compute
#endif /*__ARM_COMPUTE_NEPADLAYER_H__ */