| /* |
| * 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" |
| |
| #if defined(DATA_TYPE) && defined(WIDTH) && defined(HEIGHT) && defined(LAYER_WIDTH) && defined(LAYER_HEIGHT) && defined(OFFSET) && defined(STEP_X) && defined(STEP_Y) && defined(NUM_PRIORS) && defined(VARIANCE_0) && defined(VARIANCE_1) && defined(VARIANCE_2) && defined(VARIANCE_3) |
| |
| /** Compute prior boxes and clip (NCHW) |
| * |
| * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] idx Index to write to |
| * @param[in] center_x Center value of the x axis |
| * @param[in] center_y Center value of the y axis |
| * @param[in] box_width Prior box width |
| * @param[in] box_height Prior box height |
| * |
| */ |
| inline void calculate_xy_min_max_nchw(Image *out, int idx, float center_x, float center_y, float box_width, float box_height) |
| { |
| float xmin = (center_x - box_width / 2.f) / WIDTH; |
| float ymin = (center_y - box_height / 2.f) / HEIGHT; |
| float xmax = (center_x + box_width / 2.f) / WIDTH; |
| float ymax = (center_y + box_height / 2.f) / HEIGHT; |
| |
| #if defined(CLIP) |
| xmin = clamp(xmin, 0.f, 1.f); |
| ymin = clamp(ymin, 0.f, 1.f); |
| xmax = clamp(xmax, 0.f, 1.f); |
| ymax = clamp(ymax, 0.f, 1.f); |
| #endif // defined(CLIP) |
| |
| // Store result |
| vstore4((VEC_DATA_TYPE(DATA_TYPE, 4))(xmin, ymin, xmax, ymax), 0, ((__global DATA_TYPE *)offset(out, idx + 0, 0))); |
| } |
| |
| /** Compute prior boxes (NCHW) |
| * |
| * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] min_size Prior box min size |
| * @param[in] min_idx Index of the min vector |
| * @param[in] idx Index to write to |
| * |
| * @return The updated index |
| */ |
| inline int calculate_min_nchw(Image *out, float *max, float *aspect_ratios, int max_size, int aspect_ratios_size, float min_size, int min_idx, int idx) |
| { |
| const float center_x = ((float)(get_global_id(0) % LAYER_WIDTH) + OFFSET) * STEP_X; |
| const float center_y = ((float)(get_global_id(0) / LAYER_WIDTH) + OFFSET) * STEP_Y; |
| |
| float box_width = min_size; |
| float box_height = min_size; |
| calculate_xy_min_max_nchw(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| |
| if(max_size > 0) |
| { |
| box_width = sqrt(min_size * max[min_idx]); |
| box_height = box_width; |
| calculate_xy_min_max_nchw(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| } |
| for(unsigned int i = 0; i < aspect_ratios_size; ++i) |
| { |
| if(fabs(aspect_ratios[i] - 1.f) < 1e-6f) |
| { |
| continue; |
| } |
| box_width = min_size * sqrt(aspect_ratios[i]); |
| box_height = min_size * rsqrt(aspect_ratios[i]); |
| |
| calculate_xy_min_max_nchw(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| } |
| |
| return idx; |
| } |
| |
| /** Compute prior boxes and clip (NHWC) |
| * |
| * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] idx Index to write to |
| * @param[in] center_x Center value of the x axis |
| * @param[in] center_y Center value of the y axis |
| * @param[in] box_width Prior box width |
| * @param[in] box_height Prior box height |
| * |
| */ |
| inline void calculate_xy_min_max_nhwc(Tensor3D *out, int idx, float center_x, float center_y, float box_width, float box_height) |
| { |
| float xmin = (center_x - box_width / 2.f) / WIDTH; |
| float ymin = (center_y - box_height / 2.f) / HEIGHT; |
| float xmax = (center_x + box_width / 2.f) / WIDTH; |
| float ymax = (center_y + box_height / 2.f) / HEIGHT; |
| |
| #if defined(CLIP) |
| xmin = clamp(xmin, 0.f, 1.f); |
| ymin = clamp(ymin, 0.f, 1.f); |
| xmax = clamp(xmax, 0.f, 1.f); |
| ymax = clamp(ymax, 0.f, 1.f); |
| #endif // defined(CLIP) |
| |
| *((__global DATA_TYPE *)tensor3D_offset(out, 0, idx + 0, 0)) = xmin; |
| *((__global DATA_TYPE *)tensor3D_offset(out, 0, idx + 1, 0)) = ymin; |
| *((__global DATA_TYPE *)tensor3D_offset(out, 0, idx + 2, 0)) = xmax; |
| *((__global DATA_TYPE *)tensor3D_offset(out, 0, idx + 3, 0)) = ymax; |
| } |
| |
| /** Compute prior boxes (NHWC) |
| * |
| * @param[in,out] out Tensor output |
| * @param[in] max The maximum values |
| * @param[in] aspect_ratios The aspect ratio values |
| * @param[in] max_size The maximum values values size |
| * @param[in] aspect_ratios_size The aspect ratio values size |
| * @param[in] min_size The minimum values size |
| * @param[in] min_idx Index of the min vector |
| * @param[in] idx Index to write to |
| * |
| * @return The updated index |
| */ |
| inline int calculate_min_nhwc(Image *out, float *max, float *aspect_ratios, int max_size, int aspect_ratios_size, float min_size, int min_idx, int idx) |
| { |
| const float center_x = ((float)(get_global_id(1) % LAYER_WIDTH) + OFFSET) * STEP_X; |
| const float center_y = ((float)(get_global_id(1) / LAYER_WIDTH) + OFFSET) * STEP_Y; |
| |
| float box_width = min_size; |
| float box_height = min_size; |
| |
| calculate_xy_min_max_nhwc(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| if(max_size > 0) |
| { |
| box_width = sqrt(min_size * max[min_idx]); |
| box_height = box_width; |
| calculate_xy_min_max_nhwc(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| } |
| for(unsigned int i = 0; i < aspect_ratios_size; ++i) |
| { |
| if(fabs(aspect_ratios[i] - 1.f) < 1e-6f) |
| { |
| continue; |
| } |
| box_width = min_size * sqrt(aspect_ratios[i]); |
| box_height = min_size * rsqrt(aspect_ratios[i]); |
| |
| calculate_xy_min_max_nhwc(out, idx, center_x, center_y, box_width, box_height); |
| idx += 4; |
| } |
| |
| return idx; |
| } |
| |
| /** Calculate prior boxes with NCHW format. |
| * |
| * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] min The minimum values |
| * @param[in] max The maximum_values |
| * @param[in] aspect_ratios The aspect ratio values |
| * @param[in] min_size The minimum values size |
| * @param[in] max_size The maximum_values values size |
| * @param[in] aspect_ratios_size The aspect ratio values size |
| */ |
| __kernel void prior_box_layer_nchw(IMAGE_DECLARATION(output), __global float *min, __global float *max, __global float *aspect_ratios, unsigned int min_size, unsigned int max_size, |
| unsigned int aspect_ratios_size) |
| { |
| Image out = CONVERT_TO_IMAGE_STRUCT(output); |
| |
| int idx = 0; |
| for(unsigned int i = 0; i < min_size; ++i) |
| { |
| idx = calculate_min_nchw(&out, max, aspect_ratios, max_size, aspect_ratios_size, min[i], i, idx); |
| } |
| |
| // Store variances |
| for(int i = 0; i < (NUM_PRIORS * 4); i += 4) |
| { |
| vstore4((VEC_DATA_TYPE(DATA_TYPE, 4))(VARIANCE_0, VARIANCE_1, VARIANCE_2, VARIANCE_3), 0, ((__global DATA_TYPE *)offset(&out, i, 1))); |
| } |
| } |
| |
| /** Calculate prior boxes with NHWC format. |
| * |
| * @param[out] output_ptr Pointer to the destination tensor. Supported data types: F32 |
| * @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_offset_first_element_in_bytes The offset of the first element in the destination tensor |
| * @param[in] min The minimum values |
| * @param[in] max The maximum_values |
| * @param[in] aspect_ratios The aspect ratio values |
| * @param[in] min_size The minimum values size |
| * @param[in] max_size The maximum_values values size |
| * @param[in] aspect_ratios_size The aspect ratio values size |
| */ |
| __kernel void prior_box_layer_nhwc(TENSOR3D_DECLARATION(output), __global float *min, __global float *max, __global float *aspect_ratios, unsigned int min_size, unsigned int max_size, |
| unsigned int aspect_ratios_size) |
| { |
| Tensor3D out = CONVERT_TO_TENSOR3D_STRUCT(output); |
| |
| int idx = 0; |
| for(unsigned int i = 0; i < min_size; ++i) |
| { |
| idx = calculate_min_nhwc(&out, max, aspect_ratios, max_size, aspect_ratios_size, min[i], i, idx); |
| } |
| |
| for(int i = 0; i < (NUM_PRIORS * 4); i += 4) |
| { |
| *((__global DATA_TYPE *)tensor3D_offset(&out, 0, i + 0, 1)) = VARIANCE_0; |
| *((__global DATA_TYPE *)tensor3D_offset(&out, 0, i + 1, 1)) = VARIANCE_1; |
| *((__global DATA_TYPE *)tensor3D_offset(&out, 0, i + 2, 1)) = VARIANCE_2; |
| *((__global DATA_TYPE *)tensor3D_offset(&out, 0, i + 3, 1)) = VARIANCE_3; |
| } |
| } |
| #endif /* defined(DATA_TYPE) && defined(WIDTH) && defined(HEIGHT) && defined(LAYER_WIDTH) && defined(LAYER_HEIGHT) && defined(OFFSET) && defined(STEP_X) && defined(STEP_Y) && defined(NUM_PRIORS) && defined(VARIANCE_0) && defined(VARIANCE_1) && defined(VARIANCE_2) && defined(VARIANCE_3) */ |