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use one block two avoid global sync issue
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masahi committed Dec 28, 2020
1 parent dd1e230 commit 20b5630
Showing 1 changed file with 34 additions and 30 deletions.
64 changes: 34 additions & 30 deletions python/tvm/topi/cuda/nms.py
Original file line number Diff line number Diff line change
Expand Up @@ -513,61 +513,64 @@ def calculate_overlap(out_tensor, box_a_idx, box_b_idx):
with ib.new_scope():
nthread_by = batch_size
nthread_tx = max_threads
nthread_bx = ceil_div(num_anchors, max_threads)

by = te.thread_axis("blockIdx.y")
tx = te.thread_axis("threadIdx.x")
bx = te.thread_axis("blockIdx.x")
ib.scope_attr(by, "thread_extent", nthread_by)
ib.scope_attr(by, "thread_extent", nthread_by)
ib.scope_attr(tx, "thread_extent", nthread_tx)

i = by
k = bx * nthread_tx + tx

base_idx = i * num_anchors * box_data_length
num_valid_boxes_local = ib.allocate(
"int32", (1,), name="num_valid_boxes_local", scope="local"
)
num_valid_boxes_local[0] = 0

def nms_inner_loop(ib, j):
# box j is valid, invalidate other boxes that overlap with j above iou_threshold
# the box j is valid, invalidate other boxes that overlap with j above iou_threshold

# When return_indices is False, no need to populate box_indices
if return_indices:
# Only one thread needs to this write
with ib.if_scope(k == 0):
with ib.if_scope(tx == 0):
orig_idx = sorted_index[i * num_anchors + j]
box_indices[i, num_valid_boxes_local[0]] = indices[i, orig_idx]

num_valid_boxes_local[0] += 1

offset_j = j * box_data_length
offset_k = k * box_data_length
num_iter_per_thread = ceil_div(num_anchors - (j + 1), nthread_tx)

with ib.if_scope(
tvm.tir.all(
j < k,
out[base_idx + offset_k + score_index] > 0,
tvm.tir.any(id_index < 0, out[base_idx + offset_k + id_index] >= 0),
tvm.tir.any(
force_suppress > 0,
id_index < 0,
out[base_idx + offset_k + id_index] == out[base_idx + offset_j + id_index],
),
)
):
iou = calculate_overlap(
out,
base_idx + offset_j + coord_start,
base_idx + offset_k + coord_start,
)
with ib.if_scope(iou >= iou_threshold):
out[base_idx + offset_k + score_index] = -1.0
with ib.if_scope(id_index >= 0):
out[base_idx + offset_k + id_index] = -1.0
with ib.for_range(0, num_iter_per_thread) as _k:
k = j + 1 + _k * nthread_tx + tx
offset_k = k * box_data_length

with ib.if_scope(
tvm.tir.all(
k < num_anchors,
out[base_idx + offset_k + score_index] > 0, # is the box k still valid?
tvm.tir.any(id_index < 0, out[base_idx + offset_k + id_index] >= 0),
tvm.tir.any(
force_suppress > 0,
id_index < 0,
out[base_idx + offset_k + id_index]
== out[base_idx + offset_j + id_index],
),
)
):
iou = calculate_overlap(
out,
base_idx + offset_j + coord_start,
base_idx + offset_k + coord_start,
)
with ib.if_scope(iou >= iou_threshold):
# invalidate the box k
out[base_idx + offset_k + score_index] = -1.0
with ib.if_scope(id_index >= 0):
out[base_idx + offset_k + id_index] = -1.0

ib.emit(tvm.tir.Call(None, "tir.tvm_storage_sync", tvm.runtime.convert(["shared"])))
ib.emit(tvm.tir.Call(None, "tir.tvm_storage_sync", tvm.runtime.convert(["shared"])))

if isinstance(max_output_size, int):
max_output_size = tvm.tir.const(max_output_size)
Expand All @@ -590,7 +593,8 @@ def nms_inner_loop(ib, j):
with ib.else_scope():
nms_inner_loop(ib, j)

num_valid_boxes[i] = num_valid_boxes_local[0]
with ib.if_scope(tx == 0):
num_valid_boxes[i] = num_valid_boxes_local[0]

with ib.else_scope():
num_valid_boxes[i] = 0
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