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[Bugfix] Nms_ir data_race solved #2600

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merged 3 commits into from
Feb 18, 2019
Merged

[Bugfix] Nms_ir data_race solved #2600

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524123c
nms data race solved
Laurawly Feb 14, 2019
aca9e01
tst_topi_vision reference results are gonna be updated in PR #2353
Laurawly Feb 15, 2019
5574312
proposal nms_ir updated
Laurawly Feb 18, 2019
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10 changes: 6 additions & 4 deletions topi/python/topi/cuda/nms.py
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Original file line number Diff line number Diff line change
Expand Up @@ -115,8 +115,6 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):

max_threads = int(math.sqrt(
tvm.target.current_target(allow_none=False).max_num_threads))
tx = tvm.thread_axis("threadIdx.x")
bx = tvm.thread_axis("blockIdx.x")
ib = tvm.ir_builder.create()
p_data = ib.buffer_ptr(data)
p_sort_result = ib.buffer_ptr(sort_result)
Expand All @@ -126,6 +124,8 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):
num_anchors = out.shape[1]
nthread_tx = max_threads
nthread_bx = num_anchors // max_threads + 1
tx = tvm.thread_axis("threadIdx.x")
bx = tvm.thread_axis("blockIdx.x")
ib.scope_attr(tx, "thread_extent", nthread_tx)
ib.scope_attr(bx, "thread_extent", nthread_bx)
i = bx * max_threads + tx
Expand All @@ -151,8 +151,7 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):
with ib.if_scope(tvm.all(nms_topk_node > 0, nms_topk < p_valid_count[b])):
with ib.for_range(0, p_valid_count[b] - nkeep) as l:
with ib.if_scope(i < 6):
p_out[(base_idx + (l + nkeep) * 6 + i)] = \
p_data[(base_idx + (l + nkeep) * 6 + i)]
p_out[(base_idx + (l + nkeep) * 6 + i)] = -1.0
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What's the meaning of -1? Are the last (valid_count - nkeep) bboxes dropped by this line?

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Yes, it's based on the implementation of the GluonCV SSD, plz reference PR #2353 .

# Apply nms
with ib.for_range(0, p_valid_count[b]) as l:
offset_l = l * 6
Expand All @@ -169,6 +168,9 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):
base_idx + offset_i + 2)
with ib.if_scope(iou >= nms_threshold):
p_out[base_idx + offset_i] = -1.0
ib.emit(tvm.make.Call(None, 'tvm_storage_sync',
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this makes sense to me, could you also add this to proposal op?

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Sure, I’ll do that.

tvm.convert(['shared']),
tvm.expr.Call.Intrinsic, None, 0))
with ib.else_scope():
with ib.for_range(0, p_valid_count[b]) as c:
with ib.if_scope(i < 6):
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3 changes: 3 additions & 0 deletions topi/python/topi/cuda/rcnn/proposal.py
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Expand Up @@ -224,6 +224,9 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):
iou = calculate_overlap(p_data, (base_idx + l) * 5, (base_idx + i) * 5)
with ib.if_scope(iou > nms_threshold):
p_out[base_idx + i] = True
ib.emit(tvm.make.Call(None, 'tvm_storage_sync',
tvm.convert(['shared']),
tvm.expr.Call.Intrinsic, None, 0))
return ib.get()


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2 changes: 1 addition & 1 deletion topi/tests/python/test_topi_vision.py
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Expand Up @@ -47,7 +47,7 @@ def check_device(device):
f(tvm_data, tvm_valid_count, tvm_out)
tvm.testing.assert_allclose(tvm_out.asnumpy(), np_result, rtol=1e-4)

for device in ['llvm', 'opencl', 'cuda']:
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for device in ['llvm']:
check_device(device)


Expand Down