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Pytorch/1.11 samh #1

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f352c86
changed import because it was deprecaated
an99990 Feb 14, 2022
fde08d6
removed wrong file
an99990 Feb 14, 2022
23da3ef
removed import because deprecated
an99990 Feb 14, 2022
efab1f5
replaced deprecated function/api call
an99990 Feb 14, 2022
adef721
update to make it compile
samhodge-aiml Jun 19, 2022
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23 changes: 12 additions & 11 deletions adet/layers/csrc/ml_nms/ml_nms.cu
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Original file line number Diff line number Diff line change
@@ -1,9 +1,10 @@
// Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved.
#include <ATen/ATen.h>
#include <ATen/cuda/CUDAContext.h>
#include <THC/THC.h>
#include <THC/THCDeviceUtils.cuh>

//#include <THC/THC.h>
#include <ATen/cuda/DeviceUtils.cuh>
#include <ATen/ceil_div.h>
#include <ATen/cuda/ThrustAllocator.h>
#include <vector>
#include <iostream>

Expand Down Expand Up @@ -65,7 +66,7 @@ __global__ void ml_nms_kernel(const int n_boxes, const float nms_overlap_thresh,
t |= 1ULL << i;
}
}
const int col_blocks = THCCeilDiv(n_boxes, threadsPerBlock);
const int col_blocks = at::ceil_div(n_boxes, threadsPerBlock);
dev_mask[cur_box_idx * col_blocks + col_start] = t;
}
}
Expand All @@ -82,28 +83,28 @@ at::Tensor ml_nms_cuda(const at::Tensor boxes, const float nms_overlap_thresh) {

int boxes_num = boxes.size(0);

const int col_blocks = THCCeilDiv(boxes_num, threadsPerBlock);
const int col_blocks = at::ceil_div(boxes_num, threadsPerBlock);

scalar_t* boxes_dev = boxes_sorted.data<scalar_t>();

THCState *state = at::globalContext().lazyInitCUDA(); // TODO replace with getTHCState
// THCState *state = at::globalContext().lazyInitCUDA(); // TODO replace with getTHCState

unsigned long long* mask_dev = NULL;
//THCudaCheck(THCudaMalloc(state, (void**) &mask_dev,
// boxes_num * col_blocks * sizeof(unsigned long long)));

mask_dev = (unsigned long long*) THCudaMalloc(state, boxes_num * col_blocks * sizeof(unsigned long long));
mask_dev = (unsigned long long*) c10::cuda::CUDACachingAllocator::raw_alloc(boxes_num * col_blocks * sizeof(unsigned long long));

dim3 blocks(THCCeilDiv(boxes_num, threadsPerBlock),
THCCeilDiv(boxes_num, threadsPerBlock));
dim3 blocks(at::ceil_div(boxes_num, threadsPerBlock),
at::ceil_div(boxes_num, threadsPerBlock));
dim3 threads(threadsPerBlock);
ml_nms_kernel<<<blocks, threads>>>(boxes_num,
nms_overlap_thresh,
boxes_dev,
mask_dev);

std::vector<unsigned long long> mask_host(boxes_num * col_blocks);
THCudaCheck(cudaMemcpy(&mask_host[0],
c10::cuda::CUDACachingAllocator::raw_alloc(cudaMemcpy(&mask_host[0],
mask_dev,
sizeof(unsigned long long) * boxes_num * col_blocks,
cudaMemcpyDeviceToHost));
Expand All @@ -128,7 +129,7 @@ at::Tensor ml_nms_cuda(const at::Tensor boxes, const float nms_overlap_thresh) {
}
}

THCudaFree(state, mask_dev);
c10::cuda::CUDACachingAllocator::raw_delete(mask_dev);
// TODO improve this part
return std::get<0>(order_t.index({
keep.narrow(/*dim=*/0, /*start=*/0, /*length=*/num_to_keep).to(
Expand Down