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Rename ctx to dev_ctx in paddle/phi/kernels/funcs/detection/ #73840

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Merged
merged 1 commit into from
Jul 9, 2025
Merged

Rename ctx to dev_ctx in paddle/phi/kernels/funcs/detection/ #73840

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34 changes: 17 additions & 17 deletions paddle/phi/kernels/funcs/detection/bbox_util.cu.h
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Original file line number Diff line number Diff line change
Expand Up @@ -46,23 +46,23 @@ struct RangeInitFunctor {
};

template <typename T>
static void SortDescending(const phi::GPUContext &ctx,
static void SortDescending(const phi::GPUContext &dev_ctx,
const phi::DenseTensor &value,
phi::DenseTensor *value_out,
phi::DenseTensor *index_out) {
int num = static_cast<int>(value.numel());
phi::DenseTensor index_in_t;
index_in_t.Resize({num});
int *idx_in = ctx.Alloc<int>(&index_in_t);
ForRange<phi::GPUContext> for_range(ctx, num);
int *idx_in = dev_ctx.Alloc<int>(&index_in_t);
ForRange<phi::GPUContext> for_range(dev_ctx, num);
for_range(RangeInitFunctor{0, 1, idx_in});

index_out->Resize({num});
int *idx_out = ctx.Alloc<int>(index_out);
int *idx_out = dev_ctx.Alloc<int>(index_out);

const T *keys_in = value.data<T>();
value_out->Resize({num});
T *keys_out = ctx.Alloc<T>(value_out);
T *keys_out = dev_ctx.Alloc<T>(value_out);

// Determine temporary device storage requirements
size_t temp_storage_bytes = 0;
Expand All @@ -75,9 +75,9 @@ static void SortDescending(const phi::GPUContext &ctx,
num,
0,
sizeof(T) * 8,
ctx.stream());
dev_ctx.stream());
// Allocate temporary storage
auto place = ctx.GetPlace();
auto place = dev_ctx.GetPlace();
auto d_temp_storage = phi::memory_utils::Alloc(place, temp_storage_bytes);

// Run sorting operation
Expand All @@ -90,7 +90,7 @@ static void SortDescending(const phi::GPUContext &ctx,
num,
0,
sizeof(T) * 8,
ctx.stream());
dev_ctx.stream());
}

template <typename T>
Expand Down Expand Up @@ -289,7 +289,7 @@ static __global__ void NMSKernel(const int n_boxes,
}

template <typename T>
static void NMS(const phi::GPUContext &ctx,
static void NMS(const phi::GPUContext &dev_ctx,
const phi::DenseTensor &proposals,
const phi::DenseTensor &sorted_indices,
const T nms_threshold,
Expand All @@ -302,14 +302,14 @@ static void NMS(const phi::GPUContext &ctx,
dim3 threads(kThreadsPerBlock);

const T *boxes = proposals.data<T>();
auto place = ctx.GetPlace();
auto place = dev_ctx.GetPlace();
auto mask_ptr = phi::memory_utils::Alloc(
ctx.GetPlace(),
dev_ctx.GetPlace(),
boxes_num * col_blocks * sizeof(uint64_t),
phi::Stream(reinterpret_cast<phi::StreamId>(ctx.stream())));
phi::Stream(reinterpret_cast<phi::StreamId>(dev_ctx.stream())));
uint64_t *mask_dev = reinterpret_cast<uint64_t *>(mask_ptr->ptr());

NMSKernel<<<blocks, threads, 0, ctx.stream()>>>(
NMSKernel<<<blocks, threads, 0, dev_ctx.stream()>>>(
boxes_num, nms_threshold, boxes, mask_dev, pixel_offset);

std::vector<uint64_t> remv(col_blocks);
Expand All @@ -321,7 +321,7 @@ static void NMS(const phi::GPUContext &ctx,
place,
mask_dev,
boxes_num * col_blocks * sizeof(uint64_t),
ctx.stream());
dev_ctx.stream());

std::vector<int> keep_vec;
int num_to_keep = 0;
Expand All @@ -339,14 +339,14 @@ static void NMS(const phi::GPUContext &ctx,
}
}
keep_out->Resize({num_to_keep});
int *keep = ctx.Alloc<int>(keep_out);
int *keep = dev_ctx.Alloc<int>(keep_out);
phi::memory_utils::Copy(place,
keep,
phi::CPUPlace(),
keep_vec.data(),
sizeof(int) * num_to_keep,
ctx.stream());
ctx.Wait();
dev_ctx.stream());
dev_ctx.Wait();
}

} // namespace funcs
Expand Down
12 changes: 6 additions & 6 deletions paddle/phi/kernels/funcs/detection/bbox_util.h
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Original file line number Diff line number Diff line change
Expand Up @@ -161,13 +161,13 @@ static void AppendProposals(phi::DenseTensor* dst,
}

template <class T>
void ClipTiledBoxes(const phi::DeviceContext& ctx,
void ClipTiledBoxes(const phi::DeviceContext& dev_ctx,
const phi::DenseTensor& im_info,
const phi::DenseTensor& input_boxes,
phi::DenseTensor* out,
bool is_scale = true,
bool pixel_offset = true) {
T* out_data = ctx.Alloc<T>(out);
T* out_data = dev_ctx.Alloc<T>(out);
const T* im_info_data = im_info.data<T>();
const T* input_boxes_data = input_boxes.data<T>();
T offset = pixel_offset ? static_cast<T>(1.0) : 0;
Expand Down Expand Up @@ -195,7 +195,7 @@ void ClipTiledBoxes(const phi::DeviceContext& ctx,

// Filter the box with small area
template <class T>
void FilterBoxes(const phi::DeviceContext& ctx,
void FilterBoxes(const phi::DeviceContext& dev_ctx,
const phi::DenseTensor* boxes,
float min_size,
const phi::DenseTensor& im_info,
Expand All @@ -206,7 +206,7 @@ void FilterBoxes(const phi::DeviceContext& ctx,
const T* boxes_data = boxes->data<T>();
keep->Resize({boxes->dims()[0]});
min_size = std::max(min_size, 1.0f);
int* keep_data = ctx.Alloc<int>(keep);
int* keep_data = dev_ctx.Alloc<int>(keep);
T offset = pixel_offset ? static_cast<T>(1.0) : 0;

int keep_len = 0;
Expand Down Expand Up @@ -236,13 +236,13 @@ void FilterBoxes(const phi::DeviceContext& ctx,
}

template <class T>
static void BoxCoder(const phi::DeviceContext& ctx,
static void BoxCoder(const phi::DeviceContext& dev_ctx,
phi::DenseTensor* all_anchors,
phi::DenseTensor* bbox_deltas,
phi::DenseTensor* variances,
phi::DenseTensor* proposals,
const bool pixel_offset = true) {
T* proposals_data = ctx.Alloc<T>(proposals);
T* proposals_data = dev_ctx.Alloc<T>(proposals);

int64_t row = all_anchors->dims()[0];
int64_t len = all_anchors->dims()[1];
Expand Down
8 changes: 4 additions & 4 deletions paddle/phi/kernels/funcs/detection/nms_util.h
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Original file line number Diff line number Diff line change
Expand Up @@ -127,20 +127,20 @@ static inline std::vector<std::pair<T, int>> GetSortedScoreIndex(
}

template <typename T>
static inline DenseTensor VectorToTensor(const DeviceContext& ctx,
static inline DenseTensor VectorToTensor(const DeviceContext& dev_ctx,
const std::vector<T>& selected_indices,
int selected_num) {
DenseTensor keep_nms;
keep_nms.Resize({selected_num});
auto* keep_data = ctx.template Alloc<T>(&keep_nms);
auto* keep_data = dev_ctx.template Alloc<T>(&keep_nms);
for (int i = 0; i < selected_num; ++i) {
keep_data[i] = selected_indices[i];
}
return keep_nms;
}

template <class T>
DenseTensor NMS(const DeviceContext& ctx,
DenseTensor NMS(const DeviceContext& dev_ctx,
DenseTensor* bbox,
DenseTensor* scores,
T nms_threshold,
Expand Down Expand Up @@ -182,7 +182,7 @@ DenseTensor NMS(const DeviceContext& ctx,
adaptive_threshold *= eta;
}
}
return VectorToTensor(ctx, selected_indices, selected_num);
return VectorToTensor(dev_ctx, selected_indices, selected_num);
}

} // namespace funcs
Expand Down
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