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Diffstat (limited to 'arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h')
-rw-r--r--arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h44
1 files changed, 34 insertions, 10 deletions
diff --git a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
index 0b9b4f75fc..929111ad4b 100644
--- a/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
+++ b/arm_compute/runtime/NEON/functions/NEROIPoolingLayer.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -24,23 +24,19 @@
#ifndef ARM_COMPUTE_NEROIPOOLINGLAYER_H
#define ARM_COMPUTE_NEROIPOOLINGLAYER_H
+#include "arm_compute/core/IArray.h"
#include "arm_compute/runtime/IFunction.h"
-#include "arm_compute/core/IArray.h"
#include <memory>
namespace arm_compute
{
class ITensor;
+class ITensorInfo;
class NEROIPoolingLayerKernel;
class ROIPoolingLayerInfo;
-/** Basic function to run @ref NEROIPoolingLayerKernel.
- *
- * This function calls the following NEON kernels:
- * -# @ref NEROIPoolingLayerKernel
- *
- */
+/** Basic function to run @ref NEROIPoolingLayerKernel. */
class NEROIPoolingLayer : public IFunction
{
public:
@@ -58,7 +54,16 @@ public:
~NEROIPoolingLayer();
/** Set the input and output tensors.
*
- * @param[in] input Source tensor. Data types supported: F32.
+ * Valid data layouts:
+ * - All
+ *
+ * Valid data type configurations:
+ * |src0 |src1 |dst |
+ * |:--------------|:--------------|:--------------|
+ * |F32 |U16 |F32 |
+ * |QASYMM8 |U16 |QASYMM8 |
+ *
+ * @param[in] input Source tensor. Data types supported: QASYMM8/F32
* @param[in] rois ROIs tensor, it is a 2D tensor of size [5, N] (where N is the number of ROIs) containing top left and bottom right corner
* as coordinate of an image and batch_id of ROI [ batch_id, x1, y1, x2, y2 ]. Data types supported: U16
* @param[out] output Destination tensor. Data types supported: Same as @p input.
@@ -69,11 +74,30 @@ public:
* @note The z dimensions of @p output tensor and @p input tensor must be the same.
* @note The fourth dimension of @p output tensor must be the same as the number of elements in @p rois array.
*/
- void configure(const ITensor *input, const ITensor *rois, ITensor *output, const ROIPoolingLayerInfo &pool_info);
+ void
+ configure(const ITensor *input, const ITensor *rois, const ITensor *output, const ROIPoolingLayerInfo &pool_info);
// Inherited methods overridden:
void run() override;
+ /** Static function to check if given info will lead to a valid configuration of @ref NEROIPoolingLayerKernel
+ *
+ * @param[in] input Source tensor info. Data types supported: QASYMM8/F32.
+ * @param[in] rois TensorInfo for rois tensor which is a 2D tensor of size [5,N] (where 5 is the number ROIs). Data types supported: U16
+ * @param[in] output Destination tensor info. Data types supported: Same as @p input.
+ * @param[in] pool_info Contains pooling operation information described in @ref ROIPoolingLayerInfo.
+ *
+ * @note The x and y dimensions of @p output tensor must be the same as that specified by @p pool_info 's pooled
+ * width and pooled height.
+ * @note The z dimensions of @p output tensor and @p input tensor must be the same.
+ * @note The fourth dimension of @p output tensor must be the same as the number of elements in @p rois array.
+ * @return a Status
+ */
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *rois,
+ const ITensorInfo *output,
+ const ROIPoolingLayerInfo &pool_info);
+
private:
std::unique_ptr<NEROIPoolingLayerKernel> _roi_kernel;
};