提交 41f776b8 编写于 作者: J jameswu2014

anchor_generator+version

上级 8924f226
......@@ -207,7 +207,7 @@ void format_DWDconv_filter(framework::Tensor *filter_tensor, float *scale_ptr,
// framework::make_ddim({num, 1, height, width});
// filter_tensor->Resize(dims_new);
filter_tensor->reset_data_ptr(new_data);
filter_tensor->set_type(typeid(int8_t));
filter_tensor->set_type(typeid(int16_t));
}
void format_fc_filter(framework::Tensor *filter_tensor, float max_value) {
......
......@@ -19,6 +19,7 @@ limitations under the License. */
#include "fpga/V1/image.h"
#include "fpga/common/config.h"
#include "fpga/common/driver.h"
#include "fpga/common/fpga_common.h"
#ifdef COST_TIME_PRINT
#include <sys/time.h>
#include <time.h>
......@@ -253,7 +254,14 @@ int ComputeBasicConv(const struct ConvArgs &args) {
reg_writeq(
((uint64_t)args.kernel.height) | (((uint64_t)args.kernel.width) << 32),
REG_CONV_FILTER_PIXEL);
reg_writeq(args.driver.output_height | (args.driver.output_width << 32),
uint64_t output_height_fraction =
args.driver.output_height / ROW_PARALLEL_NUM;
uint64_t output_height_remainder =
args.driver.output_height % ROW_PARALLEL_NUM;
reg_writeq(args.driver.output_height | (output_height_fraction << 16) |
(output_height_remainder << 26) |
(args.driver.output_width << 32),
REG_CONV_RESULT_PIXEL);
reg_writeq(((uint64_t)args.image.pad_height) |
(((uint64_t)args.image.pad_width) << 32),
......
......@@ -15,6 +15,7 @@ limitations under the License. */
#include "fpga/common/fpga_common.h"
#include <algorithm>
#include <map>
#include <utility>
#include "fpga/common/config.h"
#include "fpga/common/driver.h"
......@@ -199,8 +200,8 @@ uint64_t vaddr_to_paddr(void *address) {
}
uint32_t paddle_mobile_version() {
uint32_t v_master = 34;
uint32_t v_slave = 34;
uint32_t v_master = 35;
uint32_t v_slave = 35;
uint32_t first = 1, second = 2, fourth_master = 1, fourth_slave = 2;
uint32_t master = first << 24 | second << 16 | v_master << 8 | fourth_master;
......
......@@ -14,6 +14,9 @@ limitations under the License. */
#ifdef ANCHOR_GENERATOR_OP
#include <string.h>
#include <iostream>
#include <utility>
#include <vector>
#include "operators/kernel/detection_kernel.h"
......@@ -29,11 +32,23 @@ bool AnchorGeneratorKernel<FPGA, float>::Init(
auto stride = param->stride_;
auto feature_width = input->dims()[3], feature_height = input->dims()[2];
auto stride_width = stride[0], stride_height = stride[1];
auto offset = param->offset_;
int anchors_offset[] = {-2, -2, 18, 18, -10, -9, 26, 25, -23,
-20, 39, 36, -43, -34, 59, 49, -63, -54,
79, 69, -96, -77, 112, 93, -137, -118, 153,
134, -204, -188, 220, 204, -281, -395, 296, 441};
int anchors_offset2[] = {0, 0, 51, 77, 0, 0, 30, 35, 0, 0, 81, 103,
0, 0, 20, 21, 0, 0, 36, 44, 0, 0, 43, 58,
0, 0, 34, 68, 0, 0, 24, 28, 0, 0, 19, 46};
if (offset > 0.6) {
memcpy(anchors_offset, anchors_offset2, sizeof(anchors_offset));
std::cout << "anchor generator marker" << std::endl;
} else {
std::cout << "anchor generator rfcn" << std::endl;
}
int num_anchors = sizeof(anchors_offset) / (sizeof(int) * 4);
// DLOG << "feature_height: " << feature_height;
......
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