aboutsummaryrefslogtreecommitdiff
diff options
context:
space:
mode:
Diffstat
-rw-r--r--arm_compute/core/CL/CLKernels.h1
-rw-r--r--arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h91
-rw-r--r--arm_compute/core/Types.h21
-rw-r--r--arm_compute/runtime/CL/CLFunctions.h1
-rw-r--r--arm_compute/runtime/CL/functions/CLROIAlignLayer.h74
-rw-r--r--src/core/CL/CLKernelLibrary.cpp5
-rw-r--r--src/core/CL/cl_kernels/roi_align_layer.cl181
-rw-r--r--src/core/CL/kernels/CLROIAlignLayerKernel.cpp141
-rw-r--r--src/runtime/CL/functions/CLROIAlignLayer.cpp47
-rw-r--r--tests/datasets/ROIPoolingLayerDataset.h4
-rw-r--r--tests/validation/CL/ROIAlignLayer.cpp104
-rw-r--r--tests/validation/fixtures/ROIAlignLayerFixture.h124
-rw-r--r--tests/validation/reference/ROIAlignLayer.cpp186
-rw-r--r--tests/validation/reference/ROIAlignLayer.h45
-rw-r--r--utils/TypePrinter.h13
15 files changed, 1030 insertions, 8 deletions
diff --git a/arm_compute/core/CL/CLKernels.h b/arm_compute/core/CL/CLKernels.h
index f39d7b71f6..f6759b9f1e 100644
--- a/arm_compute/core/CL/CLKernels.h
+++ b/arm_compute/core/CL/CLKernels.h
@@ -102,6 +102,7 @@
#include "arm_compute/core/CL/kernels/CLPixelWiseMultiplicationKernel.h"
#include "arm_compute/core/CL/kernels/CLPoolingLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLQuantizationLayerKernel.h"
+#include "arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h"
#include "arm_compute/core/CL/kernels/CLReductionOperationKernel.h"
#include "arm_compute/core/CL/kernels/CLRemapKernel.h"
diff --git a/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
new file mode 100644
index 0000000000..6908675ec1
--- /dev/null
+++ b/arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h
@@ -0,0 +1,91 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CLROIALIGNLAYERKERNEL_H__
+#define __ARM_COMPUTE_CLROIALIGNLAYERKERNEL_H__
+
+#include "arm_compute/core/CL/ICLArray.h"
+#include "arm_compute/core/CL/ICLKernel.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Interface for the RoIAlign kernel.
+ */
+class CLROIAlignLayerKernel : public ICLKernel
+{
+public:
+ /** Constructor */
+ CLROIAlignLayerKernel();
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLROIAlignLayerKernel(const CLROIAlignLayerKernel &) = delete;
+ /** Prevent instances of this class from being copied (As this class contains pointers) */
+ CLROIAlignLayerKernel &operator=(const CLROIAlignLayerKernel &) = delete;
+ /** Default Move Constructor. */
+ CLROIAlignLayerKernel(CLROIAlignLayerKernel &&) = default;
+ /** Default move assignment operator. */
+ CLROIAlignLayerKernel &operator=(CLROIAlignLayerKernel &&) = default;
+ /** Default destructor */
+ ~CLROIAlignLayerKernel() = default;
+
+ /** Set the input and output tensors.
+ *
+ * @param[in] input Source tensor. Data types supported: F16/F32.
+ * @param[in] rois Array containing @ref ROI.
+ * @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.
+ */
+ void configure(const ICLTensor *input, const ICLROIArray *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLROIAlignLayerKernel
+ *
+ * @param[in] input Source tensor info. Data types supported: F16/F32.
+ * @param[in] num_rois Length of the array containing @ref ROI.
+ * @param[out] 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 @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, size_t num_rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info);
+
+ // Inherited methods overridden:
+ void run(const Window &window, cl::CommandQueue &queue);
+
+private:
+ const ICLTensor *_input;
+ ICLTensor *_output;
+ const ICLROIArray *_rois;
+ ROIPoolingLayerInfo _pool_info;
+};
+} // namespace arm_compute
+#endif /*__ARM_COMPUTE_CLROIALIGNLAYERKERNEL_H__*/
diff --git a/arm_compute/core/Types.h b/arm_compute/core/Types.h
index 4c81e1f700..9b81eccafb 100644
--- a/arm_compute/core/Types.h
+++ b/arm_compute/core/Types.h
@@ -808,17 +808,18 @@ private:
};
/** ROI Pooling Layer Information class */
-class ROIPoolingLayerInfo
+class ROIPoolingLayerInfo final
{
public:
- /** Default Constructor
+ /** Constructor
*
- * @param[in] pooled_width Pooled width of the layer.
- * @param[in] pooled_height Pooled height of the layer.
- * @param[in] spatial_scale Spatial scale to be applied to the ROI coordinates and dimensions.
+ * @param[in] pooled_width Pooled width of the layer.
+ * @param[in] pooled_height Pooled height of the layer.
+ * @param[in] spatial_scale Spatial scale to be applied to the ROI coordinates and dimensions.
+ * @param[in] sampling_ratio Number of samples to include in each pooling region (if set to zero, a ceil(roi_dims/pooling_dims))
*/
- ROIPoolingLayerInfo(unsigned int pooled_width, unsigned int pooled_height, float spatial_scale)
- : _pooled_width(pooled_width), _pooled_height(pooled_height), _spatial_scale(spatial_scale)
+ ROIPoolingLayerInfo(unsigned int pooled_width, unsigned int pooled_height, float spatial_scale, unsigned int sampling_ratio = 0)
+ : _pooled_width(pooled_width), _pooled_height(pooled_height), _spatial_scale(spatial_scale), _sampling_ratio(sampling_ratio)
{
}
/** Get the pooled width of the layer */
@@ -836,11 +837,17 @@ public:
{
return _spatial_scale;
}
+ /** Get sampling ratio */
+ unsigned int sampling_ratio() const
+ {
+ return _sampling_ratio;
+ }
private:
unsigned int _pooled_width;
unsigned int _pooled_height;
float _spatial_scale;
+ unsigned int _sampling_ratio;
};
/** Activation Layer Information class */
diff --git a/arm_compute/runtime/CL/CLFunctions.h b/arm_compute/runtime/CL/CLFunctions.h
index 8dadcc1e87..d87a8285f4 100644
--- a/arm_compute/runtime/CL/CLFunctions.h
+++ b/arm_compute/runtime/CL/CLFunctions.h
@@ -102,6 +102,7 @@
#include "arm_compute/runtime/CL/functions/CLPoolingLayer.h"
#include "arm_compute/runtime/CL/functions/CLQuantizationLayer.h"
#include "arm_compute/runtime/CL/functions/CLRNNLayer.h"
+#include "arm_compute/runtime/CL/functions/CLROIAlignLayer.h"
#include "arm_compute/runtime/CL/functions/CLROIPoolingLayer.h"
#include "arm_compute/runtime/CL/functions/CLReductionOperation.h"
#include "arm_compute/runtime/CL/functions/CLRemap.h"
diff --git a/arm_compute/runtime/CL/functions/CLROIAlignLayer.h b/arm_compute/runtime/CL/functions/CLROIAlignLayer.h
new file mode 100644
index 0000000000..6cf9bd2c29
--- /dev/null
+++ b/arm_compute/runtime/CL/functions/CLROIAlignLayer.h
@@ -0,0 +1,74 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_CLROIALIGNLAYER_H__
+#define __ARM_COMPUTE_CLROIALIGNLAYER_H__
+
+#include "arm_compute/core/CL/ICLArray.h"
+#include "arm_compute/core/CL/kernels/CLROIPoolingLayerKernel.h"
+#include "arm_compute/runtime/CL/ICLSimpleFunction.h"
+
+namespace arm_compute
+{
+class ICLTensor;
+
+/** Basic function to run @ref CLROIAlignLayerKernel.
+ *
+ * This function calls the following OpenCL kernels:
+ * -# @ref CLROIAlignLayerKernel
+ *
+ */
+class CLROIAlignLayer : public ICLSimpleFunction
+{
+public:
+ /** Set the input and output tensors.
+ *
+ * @param[in] input Source tensor. Data types supported: F16/F32.
+ * @param[in] rois Array containing @ref ROI.
+ * @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.
+ */
+ void configure(const ICLTensor *input, const ICLROIArray *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info);
+ /** Static function to check if given info will lead to a valid configuration of @ref CLROIAlignLayer
+ *
+ * @param[in] input Source tensor info. Data types supported: F16/F32.
+ * @param[in] num_rois Length of the array containing @ref ROI.
+ * @param[out] 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 @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, size_t num_rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info);
+};
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_CLROIALIGNLAYER_H__ */
diff --git a/src/core/CL/CLKernelLibrary.cpp b/src/core/CL/CLKernelLibrary.cpp
index 87b588e16c..ce4b85551d 100644
--- a/src/core/CL/CLKernelLibrary.cpp
+++ b/src/core/CL/CLKernelLibrary.cpp
@@ -358,6 +358,7 @@ const std::map<std::string, std::string> CLKernelLibrary::_kernel_program_map =
{ "RGBA8888_to_NV12_bt709", "color_convert.cl" },
{ "RGBA8888_to_RGB888_bt709", "color_convert.cl" },
{ "RGBA8888_to_YUV444_bt709", "color_convert.cl" },
+ { "roi_align_layer", "roi_align_layer.cl" },
{ "roi_pooling_layer", "roi_pooling_layer.cl" },
{ "scale_nearest_neighbour_nchw", "scale.cl" },
{ "scale_nearest_neighbour_nhwc", "scale.cl" },
@@ -762,6 +763,10 @@ const std::map<std::string, std::string> CLKernelLibrary::_program_source_map =
#include "./cl_kernels/reshape_layer.clembed"
},
{
+ "roi_align_layer.cl",
+#include "./cl_kernels/roi_align_layer.clembed"
+ },
+ {
"roi_pooling_layer.cl",
#include "./cl_kernels/roi_pooling_layer.clembed"
},
diff --git a/src/core/CL/cl_kernels/roi_align_layer.cl b/src/core/CL/cl_kernels/roi_align_layer.cl
new file mode 100644
index 0000000000..4625e53ed5
--- /dev/null
+++ b/src/core/CL/cl_kernels/roi_align_layer.cl
@@ -0,0 +1,181 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "helpers.h"
+
+// This specifies the value to shift the result of roi_dims / pooled_dims before ceiling.
+// It is close to the epsilon machine (for a floating point system, x and x+EPS are the same number).
+#define EPS_GRID 0.00001f
+
+#if defined(DATA_TYPE) && defined(POOLED_DIM_X) && defined(POOLED_DIM_Y) && defined(MAX_DIM_X) && defined(MAX_DIM_Y) && defined(MAX_DIM_Z) && defined(SPATIAL_SCALE) // Check for compile time constants
+
+/** Performs a roi align on a single output pixel.
+ *
+ * @param[in] input Pointer to input Tensor3D struct.
+ * @param[in] region_start_x Start x index projected onto the input tensor.
+ * @param[in] region_end_x End x index projected onto the input tensor.
+ * @param[in] region_start_y Start y index projected onto the input tensor.
+ * @param[in] region_end_y End y index projected onto the input tensor.
+ * @param[in] pz z index of the input tensor.
+ *
+ * @return An average pooled value from the region specified in the input tensor.
+ */
+inline DATA_TYPE roi_align_1x1(const Tensor3D *input, float region_start_x,
+ float bin_size_x,
+ float grid_size_x,
+ float region_end_x,
+ float region_start_y,
+ float bin_size_y,
+ float grid_size_y,
+ float region_end_y,
+ int pz)
+{
+ // Iterate through the pooling region
+ float sum = 0;
+ for(int iy = 0; iy < grid_size_y; ++iy)
+ {
+ for(int ix = 0; ix < grid_size_x; ++ix)
+ {
+ // Align the window in the middle of every bin
+ const float y = region_start_y + (iy + 0.5f) * bin_size_y / (float)grid_size_y;
+ const float x = region_start_x + (ix + 0.5f) * bin_size_x / (float)grid_size_x;
+
+ // Interpolation in the unit square
+ const int y_low = (int)y;
+ const int x_low = (int)x;
+ const int y_high = y_low + 1;
+ const int x_high = x_low + 1;
+
+ const float ly = y - y_low;
+ const float lx = x - x_low;
+ const float hy = 1.f - ly;
+ const float hx = 1.f - lx;
+
+ const float w1 = hy * hx;
+ const float w2 = hy * lx;
+ const float w3 = ly * hx;
+ const float w4 = ly * lx;
+
+ const DATA_TYPE data1 = *(__global DATA_TYPE *)tensor3D_offset(input, x_low, y_low, pz);
+ const DATA_TYPE data2 = *(__global DATA_TYPE *)tensor3D_offset(input, x_high, y_low, pz);
+ const DATA_TYPE data3 = *(__global DATA_TYPE *)tensor3D_offset(input, x_low, y_high, pz);
+ const DATA_TYPE data4 = *(__global DATA_TYPE *)tensor3D_offset(input, x_high, y_high, pz);
+ sum += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4;
+ }
+ }
+
+ return (DATA_TYPE)(sum / (grid_size_x * grid_size_y));
+}
+
+/** Performs a roi align function.
+ *
+ * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=float. Supported data types are F16, F32;
+ * @note Datasize must be passed using -DDATA_SIZE e.g. -DDATA_SIZE=32;
+ * @note Input dimensions must be passed using -DMAX_DIM_X, -DMAX_DIM_Y and -DMAX_DIM_Z;
+ * @note Pooled region dimensions must be passed using -DPOOLED_DIM_X and -DPOOLED_DIM_Y;
+ * @note Spatial scale must be passed using -DSPATIAL_SCALE;
+ * @note Sampling ratio (i.e., the number of samples in each bin) may be passed using -DSAMPLING_RATIO. If not defined each roi
+ * will have a default sampling ratio of roi_dims/pooling_dims
+ *
+ * @param[in] input_ptr Pointer to the source image. Supported data types: F16, F32
+ * @param[in] input_stride_x Stride of the source image in X dimension (in bytes)
+ * @param[in] input_step_x input_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] input_stride_y Stride of the source image in Y dimension (in bytes)
+ * @param[in] input_step_y input_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] input_stride_z Stride of the source tensor in Z dimension (in bytes)
+ * @param[in] input_step_z input_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] input_offset_first_element_in_bytes The offset of the first element in the pooled region of the source image as specifed by ROI
+ * @param[in] rois_ptr Pointer to the rois array. Layout: {x, y, width, height, batch_indx}
+ * @param[in] rois_stride_x Stride of the rois array in X dimension (in bytes)
+ * @param[in] rois_step_x rois_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] rois_offset_first_element_in_bytes The offset of the first element in the rois array
+ * @param[out] output_ptr Pointer to the destination image. Supported data types: F16, F32
+ * @param[in] output_stride_x Stride of the destination image in X dimension (in bytes)
+ * @param[in] output_step_x output_stride_x * number of elements along X processed per workitem(in bytes)
+ * @param[in] output_stride_y Stride of the destination image in Y dimension (in bytes)
+ * @param[in] output_step_y output_stride_y * number of elements along Y processed per workitem(in bytes)
+ * @param[in] output_stride_z Stride of the destination tensor in Z dimension (in bytes)
+ * @param[in] output_step_z output_stride_z * number of elements along Z processed per workitem(in bytes)
+ * @param[in] output_offset_first_element_in_bytes The offset of the first element in the destination image
+ * @param[in] input_stride_w Stride of the source image in W dimension (in bytes)
+ * @param[in] output_stride_w Stride of the destination image in W dimension (in bytes)
+ */
+__kernel void roi_align_layer(
+ TENSOR3D_DECLARATION(input),
+ VECTOR_DECLARATION(rois),
+ TENSOR3D_DECLARATION(output),
+ unsigned int input_stride_w, unsigned int output_stride_w)
+{
+ // Get pixels pointer
+ Tensor3D input = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(input);
+ Vector rois = CONVERT_TO_VECTOR_STRUCT_NO_STEP(rois);
+ Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output);
+
+ const int px = get_global_id(0);
+ const int py = get_global_id(1);
+ const int pw = get_global_id(2);
+
+ // Load roi parameters
+ // roi is laid out as follows:
+ // { x, y, width, height, batch_index }
+ const ushort4 roi = vload4(0, (__global ushort *)vector_offset(&rois, pw));
+ const ushort roi_batch = *((__global ushort *)vector_offset(&rois, pw) + 4);
+ const float2 roi_anchor = convert_float2(roi.s01) * convert_float(SPATIAL_SCALE);
+ const float2 roi_dims = fmax(convert_float2(roi.s23) * convert_float(SPATIAL_SCALE), 1.f);
+
+ // Calculate pooled region start and end
+ const float2 spatial_indx = (float2)(px, py);
+ const float2 pooled_dims = (float2)(POOLED_DIM_X, POOLED_DIM_Y);
+ const float2 max_spatial_dims = (float2)(MAX_DIM_X, MAX_DIM_Y);
+
+ const float2 bin_size = roi_dims / pooled_dims;
+ float2 region_start = spatial_indx * bin_size + roi_anchor;
+ float2 region_end = (spatial_indx + 1) * bin_size + roi_anchor;
+
+ region_start = clamp(region_start, 0, max_spatial_dims);
+ region_end = clamp(region_end, 0, max_spatial_dims);
+
+#if defined(SAMPLING_RATIO)
+ const float2 roi_bin_grid = SAMPLING_RATIO;
+#else // !defined(SAMPLING_RATIO)
+ // Note that we subtract EPS_GRID before ceiling. This is to avoid situations where 1.000001 gets ceiled to 2.
+ const float2 roi_bin_grid = ceil(roi_dims / pooled_dims - EPS_GRID);
+#endif // defined(SAMPLING_RATIO)
+
+ // Move input and output pointer across the fourth dimension
+ input.ptr += roi_batch * input_stride_w;
+ output.ptr += pw * output_stride_w;
+ for(int pz = 0; pz < MAX_DIM_Z; ++pz)
+ {
+ *(__global DATA_TYPE *)tensor3D_offset(&output, px, py, pz) = (__global DATA_TYPE)roi_align_1x1(&input,
+ region_start.x,
+ bin_size.x,
+ roi_bin_grid.x,
+ region_end.x,
+ region_start.y,
+ bin_size.y,
+ roi_bin_grid.y,
+ region_end.y, pz);
+ }
+}
+#endif // Check for compile time constants
diff --git a/src/core/CL/kernels/CLROIAlignLayerKernel.cpp b/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
new file mode 100644
index 0000000000..2e1e85488b
--- /dev/null
+++ b/src/core/CL/kernels/CLROIAlignLayerKernel.cpp
@@ -0,0 +1,141 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h"
+
+#include "arm_compute/core/AccessWindowStatic.h"
+#include "arm_compute/core/CL/CLHelpers.h"
+#include "arm_compute/core/CL/CLKernelLibrary.h"
+#include "arm_compute/core/CL/CLValidate.h"
+#include "arm_compute/core/CL/ICLArray.h"
+#include "arm_compute/core/CL/ICLTensor.h"
+#include "arm_compute/core/CL/OpenCL.h"
+#include "arm_compute/core/Helpers.h"
+#include "arm_compute/core/TensorInfo.h"
+#include "arm_compute/core/Utils.h"
+#include "arm_compute/core/Window.h"
+
+namespace arm_compute
+{
+namespace
+{
+Status validate_arguments(const ITensorInfo *input, size_t num_rois, const ITensorInfo *output, const ROIPoolingLayerInfo &pool_info)
+{
+ ARM_COMPUTE_RETURN_ERROR_ON_NULLPTR(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON_F16_UNSUPPORTED(input);
+ ARM_COMPUTE_RETURN_ERROR_ON_DATA_TYPE_CHANNEL_NOT_IN(input, 1, DataType::F32, DataType::F16);
+ ARM_COMPUTE_RETURN_ERROR_ON((pool_info.pooled_width() == 0) || (pool_info.pooled_height() == 0));
+ ARM_COMPUTE_RETURN_ERROR_ON(num_rois == 0);
+
+ if(output->total_size() != 0)
+ {
+ ARM_COMPUTE_RETURN_ERROR_ON_MISMATCHING_DATA_TYPES(input, output);
+ ARM_COMPUTE_RETURN_ERROR_ON((output->dimension(0) != pool_info.pooled_width()) || (output->dimension(1) != pool_info.pooled_height()));
+ ARM_COMPUTE_RETURN_ERROR_ON(input->dimension(2) != output->dimension(2));
+ ARM_COMPUTE_RETURN_ERROR_ON(num_rois != output->dimension(3));
+ }
+
+ return Status{};
+}
+} // namespace
+
+CLROIAlignLayerKernel::CLROIAlignLayerKernel()
+ : _input(nullptr), _output(nullptr), _rois(nullptr), _pool_info(0, 0, 0.f)
+{
+}
+
+void CLROIAlignLayerKernel::configure(const ICLTensor *input, const ICLROIArray *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
+{
+ ARM_COMPUTE_ERROR_ON_NULLPTR(input, output, rois);
+ ARM_COMPUTE_ERROR_THROW_ON(validate_arguments(input->info(), rois->num_values(), output->info(), pool_info));
+
+ TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), input->info()->dimension(2), rois->num_values());
+ auto_init_if_empty(*output->info(), output_shape, 1, input->info()->data_type());
+
+ _input = input;
+ _output = output;
+ _rois = rois;
+ _pool_info = pool_info;
+
+ // Set build options
+ std::set<std::string> build_opts;
+ build_opts.emplace(("-DDATA_TYPE=" + get_cl_type_from_data_type(input->info()->data_type())));
+ build_opts.emplace(("-DDATA_SIZE=" + get_data_size_from_data_type(input->info()->data_type())));
+ build_opts.emplace(("-DMAX_DIM_X=" + support::cpp11::to_string(_input->info()->dimension(Window::DimX))));
+ build_opts.emplace(("-DMAX_DIM_Y=" + support::cpp11::to_string(_input->info()->dimension(Window::DimY))));
+ build_opts.emplace(("-DMAX_DIM_Z=" + support::cpp11::to_string(_input->info()->dimension(Window::DimZ))));
+ build_opts.emplace(("-DPOOLED_DIM_X=" + support::cpp11::to_string(pool_info.pooled_width())));
+ build_opts.emplace(("-DPOOLED_DIM_Y=" + support::cpp11::to_string(pool_info.pooled_height())));
+ build_opts.emplace(("-DSPATIAL_SCALE=" + float_to_string_with_full_precision(pool_info.spatial_scale())));
+ if(pool_info.sampling_ratio() > 0)
+ {
+ build_opts.emplace(("-DSAMPLING_RATIO=" + support::cpp11::to_string(pool_info.sampling_ratio())));
+ }
+
+ // Create kernel
+ std::string kernel_name = "roi_align_layer";
+ _kernel = static_cast<cl::Kernel>(CLKernelLibrary::get().create_kernel(kernel_name, build_opts));
+
+ // Set static kernel arguments
+ unsigned int idx = 2 * num_arguments_per_3D_tensor() + num_arguments_per_1D_array();
+ add_argument<cl_uint>(idx, _input->info()->strides_in_bytes()[3]);
+ add_argument<cl_uint>(idx, _output->info()->strides_in_bytes()[3]);
+
+ // Configure kernel window
+ const unsigned int num_elems_processed_per_iteration = 1;
+ Window window = calculate_max_window(*output->info(), Steps(num_elems_processed_per_iteration));
+ AccessWindowStatic input_access(input->info(),
+ input->info()->valid_region().start(0),
+ input->info()->valid_region().start(1),
+ input->info()->valid_region().end(0),
+ input->info()->valid_region().end(1));
+ AccessWindowStatic output_access(output->info(), 0, 0, pool_info.pooled_width(), pool_info.pooled_height());
+
+ output_access.set_valid_region(window, ValidRegion(Coordinates(), output->info()->tensor_shape()));
+ ICLKernel::configure_internal(window);
+}
+
+Status CLROIAlignLayerKernel::validate(const ITensorInfo *input, size_t num_rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(validate_arguments(input, num_rois, output, pool_info));
+ return Status{};
+}
+
+void CLROIAlignLayerKernel::run(const Window &window, cl::CommandQueue &queue)
+{
+ ARM_COMPUTE_ERROR_ON_UNCONFIGURED_KERNEL(this);
+ ARM_COMPUTE_ERROR_ON_INVALID_SUBWINDOW(IKernel::window(), window);
+
+ Window slice = window.first_slice_window_3D();
+ // Parallelize spatially and across the fourth dimension of the output tensor (also across ROIArray)
+ slice.set(Window::DimZ, window[3]);
+
+ // Set arguments
+ unsigned int idx = 0;
+ add_3D_tensor_argument(idx, _input, slice);
+ add_1D_array_argument<ROI>(idx, _rois, Strides(sizeof(ROI)), 1U, slice);
+ add_3D_tensor_argument(idx, _output, slice);
+ enqueue(queue, *this, slice);
+}
+
+} // namespace arm_compute
diff --git a/src/runtime/CL/functions/CLROIAlignLayer.cpp b/src/runtime/CL/functions/CLROIAlignLayer.cpp
new file mode 100644
index 0000000000..1528759840
--- /dev/null
+++ b/src/runtime/CL/functions/CLROIAlignLayer.cpp
@@ -0,0 +1,47 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/CL/functions/CLROIAlignLayer.h"
+
+#include "arm_compute/core/CL/ICLArray.h"
+#include "arm_compute/core/CL/kernels/CLROIAlignLayerKernel.h"
+#include "support/ToolchainSupport.h"
+
+namespace arm_compute
+{
+Status CLROIAlignLayer::validate(const ITensorInfo *input, size_t num_rois, ITensorInfo *output, const ROIPoolingLayerInfo &pool_info)
+{
+ ARM_COMPUTE_RETURN_ON_ERROR(CLROIAlignLayerKernel::validate(input, num_rois, output, pool_info));
+
+ return Status{};
+}
+
+void CLROIAlignLayer::configure(const ICLTensor *input, const ICLROIArray *rois, ICLTensor *output, const ROIPoolingLayerInfo &pool_info)
+{
+ // Configure ROI pooling kernel
+ auto k = arm_compute::support::cpp14::make_unique<CLROIAlignLayerKernel>();
+ k->configure(input, rois, output, pool_info);
+ _kernel = std::move(k);
+}
+
+} // namespace arm_compute
diff --git a/tests/datasets/ROIPoolingLayerDataset.h b/tests/datasets/ROIPoolingLayerDataset.h
index a1879d3b54..eb1d165202 100644
--- a/tests/datasets/ROIPoolingLayerDataset.h
+++ b/tests/datasets/ROIPoolingLayerDataset.h
@@ -1,5 +1,5 @@
/*
- * Copyright (c) 2017 ARM Limited.
+ * Copyright (c) 2017-2018 ARM Limited.
*
* SPDX-License-Identifier: MIT
*
@@ -112,6 +112,8 @@ class SmallROIPoolingLayerDataset final : public ROIPoolingLayerDataset
public:
SmallROIPoolingLayerDataset()
{
+ add_config(TensorShape(50U, 47U, 1U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 1U);
+ add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 1U);
add_config(TensorShape(50U, 47U, 3U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 40U);
add_config(TensorShape(50U, 47U, 10U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
add_config(TensorShape(50U, 47U, 80U), ROIPoolingLayerInfo(7U, 7U, 1.f / 8.f), 80U);
diff --git a/tests/validation/CL/ROIAlignLayer.cpp b/tests/validation/CL/ROIAlignLayer.cpp
new file mode 100644
index 0000000000..8be16b4ad1
--- /dev/null
+++ b/tests/validation/CL/ROIAlignLayer.cpp
@@ -0,0 +1,104 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "arm_compute/runtime/CL/CLScheduler.h"
+#include "arm_compute/runtime/CL/functions/CLROIAlignLayer.h"
+#include "tests/CL/CLAccessor.h"
+#include "tests/CL/CLArrayAccessor.h"
+#include "tests/Globals.h"
+#include "tests/datasets/ROIPoolingLayerDataset.h"
+#include "tests/datasets/ShapeDatasets.h"
+#include "tests/framework/Macros.h"
+#include "tests/framework/datasets/Datasets.h"
+#include "tests/validation/Validation.h"
+#include "tests/validation/fixtures/ROIAlignLayerFixture.h"
+#include "utils/TypePrinter.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace
+{
+RelativeTolerance<float> relative_tolerance_f32(0.01f);
+RelativeTolerance<float> absolute_tolerance_f32(0.001f);
+} // namespace
+
+TEST_SUITE(CL)
+TEST_SUITE(RoiAlign)
+
+// *INDENT-OFF*
+// clang-format off
+DATA_TEST_CASE(Validate, framework::DatasetMode::ALL, zip(zip(zip(zip(
+ framework::dataset::make("InputInfo", { TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(250U, 128U, 3U), 1, DataType::F32), // Mismatching data type input/output
+ TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching depth size input/output
+ TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching number of rois and output batch size
+ TensorInfo(TensorShape(250U, 128U, 2U), 1, DataType::F32), // Mismatching height and width input/output
+
+ }),
+ framework::dataset::make("NumRois", { 3U, 3U, 4U, 10U, 4U})),
+ framework::dataset::make("OutputInfo",{ TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(7U, 7U, 3U, 3U), 1, DataType::F16),
+ TensorInfo(TensorShape(7U, 7U, 4U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(7U, 7U, 2U, 3U), 1, DataType::F32),
+ TensorInfo(TensorShape(5U, 5U, 2U, 4U), 1, DataType::F32),
+ })),
+ framework::dataset::make("PoolInfo", { ROIPoolingLayerInfo(7U, 7U, 1./8),
+ ROIPoolingLayerInfo(7U, 7U, 1./8),
+ ROIPoolingLayerInfo(7U, 7U, 1./8),
+ ROIPoolingLayerInfo(7U, 7U, 1./8),
+ ROIPoolingLayerInfo(7U, 7U, 1./8),
+ })),
+ framework::dataset::make("Expected", { true, false, false, false, false })),
+ input_info, num_rois, output_info, pool_info, expected)
+{
+ ARM_COMPUTE_EXPECT(bool(CLROIAlignLayer::validate(&input_info.clone()->set_is_resizable(true), num_rois, &output_info.clone()->set_is_resizable(true), pool_info)) == expected, framework::LogLevel::ERRORS);
+}
+// clang-format on
+// *INDENT-ON*
+
+template <typename T>
+using CLROIAlignLayerFixture = ROIAlignLayerFixture<CLTensor, CLAccessor, CLROIAlignLayer, CLArray<ROI>, CLArrayAccessor<ROI>, T>;
+
+TEST_SUITE(Float)
+TEST_SUITE(FP32)
+FIXTURE_DATA_TEST_CASE(SmallROIAlignLayer, CLROIAlignLayerFixture<float>, framework::DatasetMode::ALL,
+ framework::dataset::combine(framework::dataset::combine(datasets::SmallROIPoolingLayerDataset(),
+ framework::dataset::make("DataType", { DataType::F32 })),
+ framework::dataset::make("Batches", { 1, 4, 8 })))
+{
+ // Validate output
+ validate(CLAccessor(_target), _reference, relative_tolerance_f32, 0.f, absolute_tolerance_f32);
+}
+TEST_SUITE_END() // FP32
+
+TEST_SUITE_END() // Float
+
+TEST_SUITE_END() // RoiAlign
+TEST_SUITE_END() // CL
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/fixtures/ROIAlignLayerFixture.h b/tests/validation/fixtures/ROIAlignLayerFixture.h
new file mode 100644
index 0000000000..d327b0914e
--- /dev/null
+++ b/tests/validation/fixtures/ROIAlignLayerFixture.h
@@ -0,0 +1,124 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef ARM_COMPUTE_TEST_ROIALIGNLAYER_FIXTURE
+#define ARM_COMPUTE_TEST_ROIALIGNLAYER_FIXTURE
+
+#include "arm_compute/core/TensorShape.h"
+#include "arm_compute/core/Types.h"
+#include "arm_compute/runtime/CL/functions/CLROIAlignLayer.h"
+#include "tests/AssetsLibrary.h"
+#include "tests/Globals.h"
+#include "tests/IAccessor.h"
+#include "tests/framework/Asserts.h"
+#include "tests/framework/Fixture.h"
+#include "tests/validation/Helpers.h"
+#include "tests/validation/reference/ROIAlignLayer.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+template <typename TensorType, typename AccessorType, typename FunctionType, typename Array_T, typename ArrayAccessor, typename T>
+class ROIAlignLayerFixture : public framework::Fixture
+{
+public:
+ template <typename...>
+ void setup(TensorShape input_shape, const ROIPoolingLayerInfo pool_info, unsigned int num_rois, DataType data_type, int batches)
+ {
+ input_shape.set(2, batches);
+ std::vector<ROI> rois = generate_random_rois(input_shape, pool_info, num_rois, 0U);
+
+ _target = compute_target(input_shape, data_type, rois, pool_info);
+ _reference = compute_reference(input_shape, data_type, rois, pool_info);
+ }
+
+protected:
+ template <typename U>
+ void fill(U &&tensor)
+ {
+ library->fill_tensor_uniform(tensor, 0);
+ }
+
+ TensorType compute_target(const TensorShape &input_shape,
+ DataType data_type,
+ std::vector<ROI> const &rois,
+ const ROIPoolingLayerInfo &pool_info)
+ {
+ // Create tensors
+ TensorType src = create_tensor<TensorType>(input_shape, data_type);
+ TensorType dst;
+
+ size_t num_rois = rois.size();
+
+ // Create roi arrays
+ std::unique_ptr<Array_T> rois_array = arm_compute::support::cpp14::make_unique<Array_T>(num_rois);
+ fill_array(ArrayAccessor(*rois_array), rois);
+
+ // Create and configure function
+ FunctionType roi_align_layer;
+ roi_align_layer.configure(&src, rois_array.get(), &dst, pool_info);
+
+ ARM_COMPUTE_EXPECT(src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Allocate tensors
+ src.allocator()->allocate();
+ dst.allocator()->allocate();
+
+ ARM_COMPUTE_EXPECT(!src.info()->is_resizable(), framework::LogLevel::ERRORS);
+ ARM_COMPUTE_EXPECT(!dst.info()->is_resizable(), framework::LogLevel::ERRORS);
+
+ // Fill tensors
+ fill(AccessorType(src));
+
+ // Compute function
+ roi_align_layer.run();
+
+ return dst;
+ }
+
+ SimpleTensor<T> compute_reference(const TensorShape &input_shape,
+ DataType data_type,
+ std::vector<ROI> const &rois,
+ const ROIPoolingLayerInfo &pool_info)
+ {
+ // Create reference tensor
+ SimpleTensor<T> src{ input_shape, data_type };
+
+ // Fill reference tensor
+ fill(src);
+
+ return reference::roi_align_layer(src, rois, pool_info);
+ }
+
+ TensorType _target{};
+ SimpleTensor<T> _reference{};
+};
+
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* ARM_COMPUTE_TEST_ROIALIGNLAYER_FIXTURE */
diff --git a/tests/validation/reference/ROIAlignLayer.cpp b/tests/validation/reference/ROIAlignLayer.cpp
new file mode 100644
index 0000000000..68a465d18f
--- /dev/null
+++ b/tests/validation/reference/ROIAlignLayer.cpp
@@ -0,0 +1,186 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#include "ROIAlignLayer.h"
+
+#include "arm_compute/core/Types.h"
+#include "arm_compute/core/utils/misc/ShapeCalculator.h"
+#include "tests/validation/Helpers.h"
+
+#include <algorithm>
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+namespace
+{
+/** Average pooling over an aligned window */
+template <typename T>
+inline T roi_align_1x1(const T *input, TensorShape input_shape,
+ float region_start_x,
+ float bin_size_x,
+ int grid_size_x,
+ float region_end_x,
+ float region_start_y,
+ float bin_size_y,
+ int grid_size_y,
+ float region_end_y,
+ int pz)
+{
+ if((region_end_x <= region_start_x) || (region_end_y <= region_start_y))
+ {
+ return T(0);
+ }
+ else
+ {
+ float avg = 0;
+ // Iterate through the aligned pooling region
+ for(int iy = 0; iy < grid_size_y; ++iy)
+ {
+ for(int ix = 0; ix < grid_size_x; ++ix)
+ {
+ // Align the window in the middle of every bin
+ float y = region_start_y + (iy + 0.5) * bin_size_y / float(grid_size_y);
+ float x = region_start_x + (ix + 0.5) * bin_size_x / float(grid_size_x);
+
+ // Interpolation in the [0,0] [0,1] [1,0] [1,1] square
+ const int y_low = y;
+ const int x_low = x;
+ const int y_high = y_low + 1;
+ const int x_high = x_low + 1;
+
+ const float ly = y - y_low;
+ const float lx = x - x_low;
+ const float hy = 1. - ly;
+ const float hx = 1. - lx;
+
+ const float w1 = hy * hx;
+ const float w2 = hy * lx;
+ const float w3 = ly * hx;
+ const float w4 = ly * lx;
+
+ const size_t idx1 = coord2index(input_shape, Coordinates(x_low, y_low, pz));
+ T data1 = input[idx1];
+
+ const size_t idx2 = coord2index(input_shape, Coordinates(x_high, y_low, pz));
+ T data2 = input[idx2];
+
+ const size_t idx3 = coord2index(input_shape, Coordinates(x_low, y_high, pz));
+ T data3 = input[idx3];
+
+ const size_t idx4 = coord2index(input_shape, Coordinates(x_high, y_high, pz));
+ T data4 = input[idx4];
+
+ avg += w1 * data1 + w2 * data2 + w3 * data3 + w4 * data4;
+ }
+ }
+
+ avg /= grid_size_x * grid_size_y;
+
+ return T(avg);
+ }
+}
+
+/** Clamp the value between lower and upper */
+template <typename T>
+T clamp(T value, T lower, T upper)
+{
+ return std::max(lower, std::min(value, upper));
+}
+} // namespace
+template <typename T>
+SimpleTensor<T> roi_align_layer(const SimpleTensor<T> &src, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info)
+{
+ const size_t num_rois = rois.size();
+ DataType dst_data_type = src.data_type();
+
+ TensorShape input_shape = src.shape();
+ TensorShape output_shape(pool_info.pooled_width(), pool_info.pooled_height(), src.shape()[2], num_rois);
+ SimpleTensor<T> dst(output_shape, dst_data_type);
+
+ // Iterate over every pixel of the input image
+ for(size_t px = 0; px < pool_info.pooled_width(); px++)
+ {
+ for(size_t py = 0; py < pool_info.pooled_height(); py++)
+ {
+ for(size_t pw = 0; pw < num_rois; pw++)
+ {
+ ROI roi = rois[pw];
+ const int roi_batch = roi.batch_idx;
+
+ const float roi_anchor_x = roi.rect.x * pool_info.spatial_scale();
+ const float roi_anchor_y = roi.rect.y * pool_info.spatial_scale();
+ const float roi_dims_x = std::max(roi.rect.width * pool_info.spatial_scale(), 1.0f);
+ const float roi_dims_y = std::max(roi.rect.height * pool_info.spatial_scale(), 1.0f);
+ ;
+
+ float bin_size_x = roi_dims_x / pool_info.pooled_width();
+ float bin_size_y = roi_dims_y / pool_info.pooled_height();
+ float region_start_x = px * bin_size_x + roi_anchor_x;
+ float region_start_y = py * bin_size_y + roi_anchor_y;
+ float region_end_x = (px + 1) * bin_size_x + roi_anchor_x;
+ float region_end_y = (py + 1) * bin_size_y + roi_anchor_y;
+
+ region_start_x = clamp(region_start_x, 0.0f, float(input_shape[0]));
+ region_start_y = clamp(region_start_y, 0.0f, float(input_shape[1]));
+ region_end_x = clamp(region_end_x, 0.0f, float(input_shape[0]));
+ region_end_y = clamp(region_end_y, 0.0f, float(input_shape[1]));
+
+ const int roi_bin_grid_x = (pool_info.sampling_ratio() > 0) ? pool_info.sampling_ratio() : int(ceil(bin_size_x));
+ const int roi_bin_grid_y = (pool_info.sampling_ratio() > 0) ? pool_info.sampling_ratio() : int(ceil(bin_size_y));
+
+ // Move input and output pointer across the fourth dimension
+ const size_t input_stride_w = input_shape[0] * input_shape[1] * input_shape[2];
+ const size_t output_stride_w = output_shape[0] * output_shape[1] * output_shape[2];
+ const T *input_ptr = src.data() + roi_batch * input_stride_w;
+ T *output_ptr = dst.data() + px + py * output_shape[0] + pw * output_stride_w;
+
+ for(int pz = 0; pz < int(input_shape[2]); ++pz)
+ {
+ // For every pixel pool over an aligned region
+ *(output_ptr + pz * output_shape[0] * output_shape[1]) = roi_align_1x1(input_ptr, input_shape,
+ region_start_x,
+ bin_size_x,
+ roi_bin_grid_x,
+ region_end_x,
+ region_start_y,
+ bin_size_y,
+ roi_bin_grid_y,
+ region_end_y, pz);
+ }
+ }
+ }
+ }
+ return dst;
+}
+template SimpleTensor<float> roi_align_layer(const SimpleTensor<float> &src, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info);
+template SimpleTensor<half> roi_align_layer(const SimpleTensor<half> &src, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
diff --git a/tests/validation/reference/ROIAlignLayer.h b/tests/validation/reference/ROIAlignLayer.h
new file mode 100644
index 0000000000..818f9b147c
--- /dev/null
+++ b/tests/validation/reference/ROIAlignLayer.h
@@ -0,0 +1,45 @@
+/*
+ * Copyright (c) 2018 ARM Limited.
+ *
+ * SPDX-License-Identifier: MIT
+ *
+ * Permission is hereby granted, free of charge, to any person obtaining a copy
+ * of this software and associated documentation files (the "Software"), to
+ * deal in the Software without restriction, including without limitation the
+ * rights to use, copy, modify, merge, publish, distribute, sublicense, and/or
+ * sell copies of the Software, and to permit persons to whom the Software is
+ * furnished to do so, subject to the following conditions:
+ *
+ * The above copyright notice and this permission notice shall be included in all
+ * copies or substantial portions of the Software.
+ *
+ * THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
+ * IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
+ * FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
+ * AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
+ * LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
+ * OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
+ * SOFTWARE.
+ */
+#ifndef __ARM_COMPUTE_TEST_ROIALIGNLAYER_H__
+#define __ARM_COMPUTE_TEST_ROIALIGNLAYER_H__
+
+#include "arm_compute/core/Types.h"
+#include "tests/SimpleTensor.h"
+#include "tests/validation/Helpers.h"
+
+namespace arm_compute
+{
+namespace test
+{
+namespace validation
+{
+namespace reference
+{
+template <typename T>
+SimpleTensor<T> roi_align_layer(const SimpleTensor<T> &src, const std::vector<ROI> &rois, const ROIPoolingLayerInfo &pool_info);
+} // namespace reference
+} // namespace validation
+} // namespace test
+} // namespace arm_compute
+#endif /* __ARM_COMPUTE_TEST_ROIALIGNLAYER_H__ */
diff --git a/utils/TypePrinter.h b/utils/TypePrinter.h
index d31c16c32b..10e407ddfa 100644
--- a/utils/TypePrinter.h
+++ b/utils/TypePrinter.h
@@ -220,6 +220,19 @@ inline ::std::ostream &operator<<(::std::ostream &os, const ROIPoolingLayerInfo
return os;
}
+/** Formatted output of the ROIPoolingInfo type.
+ *
+ * @param[in] pool_info Type to output.
+ *
+ * @return Formatted string.
+ */
+inline std::string to_string(const ROIPoolingLayerInfo &pool_info)
+{
+ std::stringstream str;
+ str << pool_info;
+ return str.str();
+}
+
/** Formatted output of the QuantizationInfo type.
*
* @param[out] os Output stream.
generated by cgit v1.2.1 (git 2.23.0) at 2024-05-10 19:06:28 +0000