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Adapt new dipu device #2905

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Aug 22, 2023
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3 changes: 2 additions & 1 deletion mmcv/ops/csrc/pytorch/bbox_overlaps.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
#include <diopi/functions.h>
#include <diopi/functions_mmcv.h>

#include "csrc_dipu/base/basedef.h"
#include "csrc_dipu/diopirt/diopirt_impl.h"

using dipu::diopi_helper::toDiopiScalar;
Expand Down Expand Up @@ -33,7 +34,7 @@ void bbox_overlaps_diopi(const Tensor bboxes1, const Tensor bboxes2,
diopiContextHandle_t ch = &ctx;
auto bboxes2_p = toDiopiTensorHandle(bboxes2);
auto ious_p = toDiopiTensorHandle(ious);
bool is_mock_cuda = bboxes1.device().type() == c10::DeviceType::PrivateUse1;
bool is_mock_cuda = bboxes1.device().type() == dipu::DIPU_DEVICE_TYPE;
if (is_mock_cuda &&
reinterpret_cast<void *>(diopiBboxOverlapsMmcv) != nullptr) {
auto ret = diopiBboxOverlapsMmcv(ch, ious_p, bboxes1_p, bboxes2_p, mode,
Expand Down
3 changes: 2 additions & 1 deletion mmcv/ops/csrc/pytorch/nms.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
#include <diopi/functions.h>
#include <diopi/functions_mmcv.h>

#include "csrc_dipu/base/basedef.h"
#include "csrc_dipu/diopirt/diopirt_impl.h"

using dipu::diopi_helper::toDiopiScalar;
Expand Down Expand Up @@ -42,7 +43,7 @@ Tensor nms_diopi(Tensor boxes, Tensor scores, float iou_threshold, int offset) {
auto outp = toDiopiTensorHandle(out);
diopiTensorHandle_t* outhandle = &outp;
auto scores_p = toDiopiTensorHandle(scores);
bool is_mock_cuda = boxes.device().type() == c10::DeviceType::PrivateUse1;
bool is_mock_cuda = boxes.device().type() == dipu::DIPU_DEVICE_TYPE;
if (is_mock_cuda && reinterpret_cast<void*>(diopiNmsMmcv) != nullptr) {
auto ret =
diopiNmsMmcv(ch, outhandle, boxes_p, scores_p, iou_threshold, offset);
Expand Down
10 changes: 5 additions & 5 deletions mmcv/ops/csrc/pytorch/roi_align.cpp
Original file line number Diff line number Diff line change
Expand Up @@ -6,6 +6,7 @@
#include <diopi/functions.h>
#include <diopi/functions_mmcv.h>

#include "csrc_dipu/base/basedef.h"
#include "csrc_dipu/diopirt/diopirt_impl.h"

using dipu::diopi_helper::toDiopiScalar;
Expand Down Expand Up @@ -53,8 +54,8 @@ void roi_align_forward_diopi(Tensor input, Tensor rois, Tensor output,
auto out_p = toDiopiTensorHandle(output);
auto argmax_y_p = toDiopiTensorHandle(argmax_y);
auto argmax_x_p = toDiopiTensorHandle(argmax_x);
bool is_mock_cuda = input.device().type() == c10::DeviceType::PrivateUse1;
if (is_mock_cuda && reinterpret_cast<void*>(diopiRoiAlignMmcv) != nullptr) {
bool is_mock_cuda = input.device().type() == dipu::DIPU_DEVICE_TYPE;
if (is_mock_cuda && reinterpret_cast<void *>(diopiRoiAlignMmcv) != nullptr) {
auto ret = diopiRoiAlignMmcv(
ch, out_p, argmax_y_p, argmax_x_p, input_p, rois_p, aligned_height,
aligned_width, sampling_ratio, pool_mode, spatial_scale, aligned);
Expand Down Expand Up @@ -92,10 +93,9 @@ void roi_align_backward_diopi(Tensor grad_output, Tensor rois, Tensor argmax_y,
auto grad_input_ = toDiopiTensorHandle(grad_input);
diopiContext ctx(dipu::getCurrentDIPUStream().rawstream());
diopiContextHandle_t ch = &ctx;
bool is_mock_cuda =
grad_output.device().type() == c10::DeviceType::PrivateUse1;
bool is_mock_cuda = grad_output.device().type() == dipu::DIPU_DEVICE_TYPE;
if (is_mock_cuda &&
reinterpret_cast<void*>(diopiRoiAlignBackwardMmcv) != nullptr) {
reinterpret_cast<void *>(diopiRoiAlignBackwardMmcv) != nullptr) {
auto ret = diopiRoiAlignBackwardMmcv(ch, grad_input_, grad_output_, rois_,
argmax_y_, argmax_x_, aligned_height,
aligned_width, sampling_ratio,
Expand Down
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