| /* |
| * 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 |