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-rw-r--r--src/core/CL/kernels/CLROIPoolingLayerKernel.h36
1 files changed, 28 insertions, 8 deletions
diff --git a/src/core/CL/kernels/CLROIPoolingLayerKernel.h b/src/core/CL/kernels/CLROIPoolingLayerKernel.h
index 35f42a9676..80bfb63092 100644
--- a/src/core/CL/kernels/CLROIPoolingLayerKernel.h
+++ b/src/core/CL/kernels/CLROIPoolingLayerKernel.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017-2020 Arm Limited.
+ * Copyright (c) 2017-2021 Arm Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -25,9 +25,6 @@
#define ARM_COMPUTE_CLROIPOOLINGLAYERKERNEL_H
#include "src/core/CL/ICLKernel.h"
-
-#include "arm_compute/core/CL/ICLArray.h"
-
namespace arm_compute
{
class ICLTensor;
@@ -62,11 +59,12 @@ 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 ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
+ void
+ configure(const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
/** Set the input and output tensors.
*
* @param[in] compile_context The compile context to be used.
- * @param[in] input Source tensor. Data types supported: F16/F32.
+ * @param[in] input Source tensor. Data types supported: F16/F32/QASYMM8
* @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.
@@ -77,15 +75,37 @@ 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 CLCompileContext &compile_context, const ICLTensor *input, const ICLTensor *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
+ void configure(const CLCompileContext &compile_context,
+ const ICLTensor *input,
+ const ICLTensor *rois,
+ const ICLTensor *output,
+ const ROIPoolingLayerInfo &pool_info);
// Inherited methods overridden:
void run(const Window &window, cl::CommandQueue &queue) override;
+ /** Static Validate function to check inputs will lead to valid configuration of @ref CLROIPoolingLayer
+ *
+ * @param[in] input Source tensor. Data types supported: F16/F32/QASYMM8
+ * @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.
+ * @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 @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.
+ */
+ static Status validate(const ITensorInfo *input,
+ const ITensorInfo *rois,
+ const ITensorInfo *output,
+ const ROIPoolingLayerInfo &pool_info);
+
private:
const ICLTensor *_input;
const ICLTensor *_rois;
- ICLTensor *_output;
+ const ICLTensor *_output;
ROIPoolingLayerInfo _pool_info;
};
} // namespace arm_compute