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-/*
- * Copyright (c) 2019-2020 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_asymm.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) && defined(OFFSET_IN) && defined(OFFSET_OUT) && defined(SCALE_IN) && defined(SCALE_OUT) && defined(OFFSET_ROIS) && defined(SCALE_ROIS) // 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;
-#if defined(NHWC)
- const DATA_TYPE data1 = *(__global DATA_TYPE *)tensor3D_offset(input, pz, x_low, y_low);
- const DATA_TYPE data2 = *(__global DATA_TYPE *)tensor3D_offset(input, pz, x_high, y_low);
- const DATA_TYPE data3 = *(__global DATA_TYPE *)tensor3D_offset(input, pz, x_low, y_high);
- const DATA_TYPE data4 = *(__global DATA_TYPE *)tensor3D_offset(input, pz, x_high, y_high);
-#else // !defined(NHWC)
- 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);
-#endif // defined(NHWC)
-
- const float data1_f32 = DEQUANTIZE(data1, OFFSET_IN, SCALE_IN, DATA_TYPE, 1);
- const float data2_f32 = DEQUANTIZE(data2, OFFSET_IN, SCALE_IN, DATA_TYPE, 1);
- const float data3_f32 = DEQUANTIZE(data3, OFFSET_IN, SCALE_IN, DATA_TYPE, 1);
- const float data4_f32 = DEQUANTIZE(data4, OFFSET_IN, SCALE_IN, DATA_TYPE, 1);
- sum += w1 * data1_f32 + w2 * data2_f32 + w3 * data3_f32 + w4 * data4_f32;
- }
- }
-
- const float res_f32 = sum / (grid_size_x * grid_size_y);
- return QUANTIZE(res_f32, OFFSET_OUT, SCALE_OUT, DATA_TYPE, 1);
-}
-
-/** Performs a roi align function.
- *
- * @note Datatype must be passed using -DDATA_TYPE e.g. -DDATA_TYPE=uchar
- * @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 tensor. Supported data types: QASYMM8
- * @param[in] input_stride_x Stride of the source tensor 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 tensor 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 tensor as specifed by ROI
- * @param[in] rois_ptr Pointer to the ROIs tensor. Layout: { batch_index, x1, y1, x2, y2 }.
- * Supported data types: QASYMM16 with 0.125f scale and 0 offset
- * @param[in] rois_stride_x Stride of the ROIs tensor in X dimension (in bytes)
- * @param[in] rois_step_x Step of the ROIs tensor in X dimension (in bytes)
- * @param[in] rois_stride_y Stride of the ROIs tensor in Y dimension (in bytes)
- * @param[in] rois_step_y Step of the ROIs tensor in Y dimension (in bytes)
- * @param[in] rois_offset_first_element_in_bytes The offset of the first element in the ROIs tensor
- * @param[out] output_ptr Pointer to the destination tensor. Supported data types: Supported data types: same as @p input_ptr
- * @param[in] output_stride_x Stride of the destination tensor 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 tensor 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 tensor
- * @param[in] input_stride_w Stride of the source tensor in W dimension (in bytes)
- * @param[in] output_stride_w Stride of the destination tensor in W dimension (in bytes)
- */
-__kernel void roi_align_layer_quantized(
- TENSOR3D_DECLARATION(input),
- IMAGE_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);
- Image rois = CONVERT_TO_IMAGE_STRUCT_NO_STEP(rois);
- Tensor3D output = CONVERT_TO_TENSOR3D_STRUCT_NO_STEP(output);
-
-#if defined(NHWC)
- const int px = get_global_id(1);
- const int py = get_global_id(2);
- const int pw = get_global_id(0);
-#else // !defined(NHWC)
- const int px = get_global_id(0);
- const int py = get_global_id(1);
- const int pw = get_global_id(2);
-#endif // defined(NHWC)
-
- // Load roi parameters
- // roi is laid out as follows { batch_index, x1, y1, x2, y2 }
- const ushort roi_batch = *((__global ushort *)offset(&rois, 0, pw));
- float4 roi = DEQUANTIZE(vload4(0, (__global ushort *)offset(&rois, 1, pw)), OFFSET_ROIS, SCALE_ROIS, ushort, 4);
- float2 roi_anchor = roi.s01 * convert_float(SPATIAL_SCALE);
- float2 roi_dims = fmax((roi.s23 - roi.s01) * convert_float(SPATIAL_SCALE), 1.f);
-
- // Calculate pooled region start and end
- float2 spatial_indx = (float2)(px, py);
- float2 pooled_dims = (float2)(POOLED_DIM_X, POOLED_DIM_Y);
- float2 max_spatial_dims = (float2)(MAX_DIM_X, MAX_DIM_Y);
-
- float2 bin_size = (float2)((roi_dims.s0 / (float)POOLED_DIM_X), (roi_dims.s1 / (float)POOLED_DIM_Y));
- 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)
- 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.
- float2 roi_bin_grid = ceil(bin_size - 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)
- {
-#if defined(NHWC)
- __global DATA_TYPE *_output_ptr = (__global DATA_TYPE *)tensor3D_offset(&output, pz, px, py);
-#else // !defined(NHWC)
- __global DATA_TYPE *_output_ptr = (__global DATA_TYPE *)tensor3D_offset(&output, px, py, pz);
-#endif // defined(NHWC)
- *_output_ptr = (__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