/* Copyright (c) 2018 PaddlePaddle Authors. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. */ #pragma once #include #include #include #include "fpga/common/fpga_common.h" namespace paddle_mobile { namespace fpga { namespace image { void convert_to_hwc(float** data_in, int channel, int height, int width, int num = 1); void convert_to_chw(float** data_in, int channel, int height, int width, int num = 1); // template // void align_element_conv(Dtype** data_in, int height, int cw); // template // void format_image(T** data_in, int channel, int height, int width); template void align_element_conv(Dtype** data_in, int height, int cw); template void align_element_conv(Dtype** data_in, int height, int cw) { int h = 0; int align_cw = align_to_x(cw, IMAGE_ALIGNMENT); Dtype* data_tmp = (Dtype*)fpga_malloc(height * align_cw * sizeof(Dtype)); // NOLINT memset(data_tmp, 0, height * align_cw * sizeof(Dtype)); for (h = 0; h < height; h++) { memcpy((void*)(data_tmp + h * align_cw), // NOLINT (void*)(*data_in + h * cw), // NOLINT cw * sizeof(Dtype)); } *data_in = data_tmp; } template void format_image(T** data_in, int channel, int height, int width) { int cw = channel * width; int align_cw = align_to_x(cw, IMAGE_ALIGNMENT); if (align_cw != cw) { T* hwc_temp = *data_in; align_element_conv(data_in, height, channel * width); fpga_free(hwc_temp); } fpga_flush(*data_in, align_to_x(channel * width, IMAGE_ALIGNMENT) * height * sizeof(T)); } // Concat featuremaps along channel direction void concat_images(int16_t** images_in, float** scales_in, void* image_out, float* scale_out, int image_num, uint32_t* channel_num, int height, int width); // Split featuremap along channel direction void split_image(int16_t* image_in, const float* scale_in, void** images_out, float** scales_out, int image_num, const uint32_t* channel_nums, int height, int width); } // namespace image } // namespace fpga } // namespace paddle_mobile