Skip to content

[MetaSchedule] Complete NCHW Conv2D Winograd Kernel Scheduling #12648

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
Hzfengsy merged 2 commits into from
Aug 31, 2022
Merged

[MetaSchedule] Complete NCHW Conv2D Winograd Kernel Scheduling #12648

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
fda7b03
Complete winograd scheduling.
zxybazh Aug 30, 2022
bbe5c05
Fix test.
zxybazh Aug 30, 2022
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions python/tvm/topi/cuda/conv2d_winograd.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -104,6 +104,7 @@ def winograd_cuda(cfg, data, kernel, strides, padding, dilation, out_dtype, pre_
kernel[co][ci][r_kh][r_kw] * G[eps][r_kh] * G[nu][r_kw], axis=[r_kh, r_kw]
),
name="kernel_pack",
attrs={"schedule_rule": "meta_schedule.winograd_kernel_pack.nchw.cuda"},
)
else:
kernel_pack = kernel
Expand Down
29 changes: 28 additions & 1 deletion src/meta_schedule/schedule_rule/winograd.cc
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -185,6 +185,32 @@ TVM_REGISTER_GLOBAL("meta_schedule.winograd_inverse.nchw.cuda")
return {sch};
});

TVM_REGISTER_GLOBAL("meta_schedule.winograd_kernel_pack.nchw.cuda")
.set_body_typed([](Schedule sch, BlockRV kernel_pack) -> Array<Schedule> {
Array<LoopRV> loops = sch->GetLoops(kernel_pack);
ICHECK_EQ(loops.size(), 6);
if (const int64_t* i = tir::GetLoopIntExtent(sch->GetSRef(loops[0]))) {
if (*i <= 16) {
sch->Unroll(loops[0]);
}
}
if (const int64_t* i = tir::GetLoopIntExtent(sch->GetSRef(loops[1]))) {
if (*i <= 16) {
sch->Unroll(loops[1]);
}
}
sch->Unroll(loops[4]);
sch->Unroll(loops[5]);

LoopRV fused = sch->Fuse({loops[2], loops[3]});

int64_t max_threadblocks = 256;
int64_t max_threads_per_block = 1024;
auto get_factor = MakeFactorSampler(sch, {32, 64, 128, 256, 512, 1024});
BindBlockThreadIdx(sch, kernel_pack, max_threadblocks, max_threads_per_block, get_factor);
return {sch};
});

TVM_REGISTER_GLOBAL("meta_schedule.winograd_data_pack.cuda")
.set_body_typed([](Schedule sch, BlockRV data_pack) -> Array<Schedule> {
BlockRV input_tile = GetOnlyProducer(sch, data_pack);
Expand All @@ -206,9 +232,10 @@ TVM_REGISTER_GLOBAL("meta_schedule.winograd_data_pack.nchw.cuda")
BlockRV data_pad = GetOnlyProducer(sch, input_tile);

BlockRV data_l = sch->CacheWrite(data_pack, /*buffer_index=*/0, /*storage_scope=*/"local");
BlockRV d = sch->CacheRead(data_pack, /*buffer_index=*/0, /*storage_scope=*/"local");
LoopRV loop = ScheduleDataPackNCHW(sch, data_pack);
sch->ReverseComputeAt(data_l, loop, /*preserve_unit_loops=*/true);
sch->ComputeAt(input_tile, /*loop_rv=*/loop, /*preserve_unit_loops=*/true);
sch->ComputeAt(d, /*loop_rv=*/loop, /*preserve_unit_loops=*/true);
sch->ComputeInline(data_pad);

int64_t max_threadblocks = 256;
Expand Down
13 changes: 11 additions & 2 deletions tests/python/unittest/test_meta_schedule_space_cuda.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -1338,11 +1338,20 @@ def winograd_nchw_conv2d(data: T.Buffer[(1, 64, 224, 224), "float32"], kernel: T
bgemm = T.alloc_buffer([6, 6, 64, 3136], dtype="float32")
inverse_local = T.alloc_buffer([64, 3136, 4, 4], dtype="float32", scope="local")
data_pack_local = T.alloc_buffer([6, 6, 64, 3136], dtype="float32", scope="local")
d_local = T.alloc_buffer([64, 3136, 6, 6], dtype="float32", scope="local")
bgemm_local = T.alloc_buffer([6, 6, 64, 3136], dtype="float32", scope="local")
kernel_shared = T.alloc_buffer([6, 6, 64, 64], dtype="float32", scope="shared")
data_pack_shared = T.alloc_buffer([6, 6, 64, 3136], dtype="float32", scope="shared")
for i2_i3_0_fused_i3_1_fused_0 in T.thread_binding(3136, thread="blockIdx.x"):
for i2_i3_0_fused_i3_1_fused_1 in T.thread_binding(64, thread="threadIdx.x"):
for ax0, ax1, ax2, ax3 in T.grid(1, 1, 6, 6):
with T.block("d_local"):
v0 = T.axis.spatial(64, (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) // 3136 + ax0)
v1 = T.axis.spatial(3136, (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) % 3136 // 7 * 7 + (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) % 7 + ax1)
v2, v3 = T.axis.remap("SS", [ax2, ax3])
T.reads(data[v1 // 3136, v0, v1 % 3136 // 56 * 4 + v2 - 1, v1 % 56 * 4 + v3 - 1])
T.writes(d_local[v0, v1, v2, v3])
d_local[v0, v1, v2, v3] = T.if_then_else(1 <= v1 % 3136 // 56 * 4 + v2 and v1 % 3136 // 56 * 4 + v2 < 225 and 1 <= v1 % 56 * 4 + v3 and v1 % 56 * 4 + v3 < 225, data[v1 // 3136, v0, v1 % 3136 // 56 * 4 + v2 - 1, v1 % 56 * 4 + v3 - 1], T.float32(0), dtype="float32")
for i0 in T.unroll(6):
for i1 in T.unroll(6):
for i4 in T.unroll(6):
Expand All @@ -1352,12 +1361,12 @@ def winograd_nchw_conv2d(data: T.Buffer[(1, 64, 224, 224), "float32"], kernel: T
ci = T.axis.spatial(64, (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) // 3136)
p = T.axis.spatial(3136, (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) % 3136 // 7 * 7 + (i2_i3_0_fused_i3_1_fused_0 * 64 + i2_i3_0_fused_i3_1_fused_1) % 7)
r_a, r_a_1 = T.axis.remap("RR", [i4, i5])
T.reads(data[p // 3136, ci, p % 3136 // 56 * 4 + r_a - 1, p % 56 * 4 + r_a_1 - 1])
T.reads(d_local[ci, p, r_a, r_a_1])
T.writes(data_pack_local[eps, nu, ci, p])
T.block_attr({"schedule_rule":"meta_schedule.winograd_data_pack.nchw.cuda"})
with T.init():
data_pack_local[eps, nu, ci, p] = T.float32(0)
data_pack_local[eps, nu, ci, p] = data_pack_local[eps, nu, ci, p] + T.if_then_else(1 <= p % 3136 // 56 * 4 + r_a and p % 3136 // 56 * 4 + r_a < 225 and 1 <= p % 56 * 4 + r_a_1 and p % 56 * 4 + r_a_1 < 225, data[p // 3136, ci, p % 3136 // 56 * 4 + r_a - 1, p % 56 * 4 + r_a_1 - 1], T.float32(0), dtype="float32") * T.Select(r_a % 6 == 5 and eps % 6 == 5, T.float32(1), T.Select(r_a % 6 == 5 and eps % 6 == 4, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 3, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 2, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 1, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 0, T.float32(0), T.Select(r_a % 6 == 4 and eps % 6 == 5, T.float32(1.5), T.Select(r_a % 6 == 4 and eps % 6 == 4, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 3, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 2, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 1, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 0, T.float32(1), T.Select(r_a % 6 == 3 and eps % 6 == 5, T.float32(-2), T.Select(r_a % 6 == 3 and eps % 6 == 4, T.float32(-0.5), T.Select(r_a % 6 == 3 and eps % 6 == 3, T.float32(2), T.Select(r_a % 6 == 3 and eps % 6 == 2, T.float32(2.5), T.Select(r_a % 6 == 3 and eps % 6 == 1, T.float32(0.5), T.Select(r_a % 6 == 3 and eps % 6 == 0, T.float32(1.5), T.Select(r_a % 6 == 2 and eps % 6 == 5, T.float32(-1.5), T.Select(r_a % 6 == 2 and eps % 6 == 4, T.float32(-1), T.Select(r_a % 6 == 2 and eps % 6 == 3, T.float32(-1), T.Select(r_a % 6 == 2 and eps % 6 == 2, T.float32(0.5), T.Select(r_a % 6 == 2 and eps % 6 == 1, T.float32(-2.5), T.Select(r_a % 6 == 2 and eps % 6 == 0, T.float32(-2), T.Select(r_a % 6 == 1 and eps % 6 == 5, T.float32(1), T.Select(r_a % 6 == 1 and eps % 6 == 4, T.float32(0.5), T.Select(r_a % 6 == 1 and eps % 6 == 3, T.float32(-2), T.Select(r_a % 6 == 1 and eps % 6 == 2, T.float32(-1), T.Select(r_a % 6 == 1 and eps % 6 == 1, T.float32(1), T.Select(r_a % 6 == 1 and eps % 6 == 0, T.float32(-1.5), T.Select(r_a % 6 == 0 and eps % 6 == 5, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 4, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 3, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 2, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 1, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 0, T.float32(1), T.float32(0))))))))))))))))))))))))))))))))))))) * T.Select(r_a_1 % 6 == 5 and nu % 6 == 5, T.float32(1), T.Select(r_a_1 % 6 == 5 and nu % 6 == 4, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 3, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 2, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 1, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 0, T.float32(0), T.Select(r_a_1 % 6 == 4 and nu % 6 == 5, T.float32(1.5), T.Select(r_a_1 % 6 == 4 and nu % 6 == 4, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 3, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 2, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 1, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 0, T.float32(1), T.Select(r_a_1 % 6 == 3 and nu % 6 == 5, T.float32(-2), T.Select(r_a_1 % 6 == 3 and nu % 6 == 4, T.float32(-0.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 3, T.float32(2), T.Select(r_a_1 % 6 == 3 and nu % 6 == 2, T.float32(2.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 1, T.float32(0.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 0, T.float32(1.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 5, T.float32(-1.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 4, T.float32(-1), T.Select(r_a_1 % 6 == 2 and nu % 6 == 3, T.float32(-1), T.Select(r_a_1 % 6 == 2 and nu % 6 == 2, T.float32(0.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 1, T.float32(-2.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 0, T.float32(-2), T.Select(r_a_1 % 6 == 1 and nu % 6 == 5, T.float32(1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 4, T.float32(0.5), T.Select(r_a_1 % 6 == 1 and nu % 6 == 3, T.float32(-2), T.Select(r_a_1 % 6 == 1 and nu % 6 == 2, T.float32(-1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 1, T.float32(1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 0, T.float32(-1.5), T.Select(r_a_1 % 6 == 0 and nu % 6 == 5, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 4, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 3, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 2, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 1, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 0, T.float32(1), T.float32(0)))))))))))))))))))))))))))))))))))))
data_pack_local[eps, nu, ci, p] = data_pack_local[eps, nu, ci, p] + d_local[ci, p, r_a, r_a_1] * T.Select(r_a % 6 == 5 and eps % 6 == 5, T.float32(1), T.Select(r_a % 6 == 5 and eps % 6 == 4, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 3, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 2, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 1, T.float32(0), T.Select(r_a % 6 == 5 and eps % 6 == 0, T.float32(0), T.Select(r_a % 6 == 4 and eps % 6 == 5, T.float32(1.5), T.Select(r_a % 6 == 4 and eps % 6 == 4, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 3, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 2, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 1, T.float32(1), T.Select(r_a % 6 == 4 and eps % 6 == 0, T.float32(1), T.Select(r_a % 6 == 3 and eps % 6 == 5, T.float32(-2), T.Select(r_a % 6 == 3 and eps % 6 == 4, T.float32(-0.5), T.Select(r_a % 6 == 3 and eps % 6 == 3, T.float32(2), T.Select(r_a % 6 == 3 and eps % 6 == 2, T.float32(2.5), T.Select(r_a % 6 == 3 and eps % 6 == 1, T.float32(0.5), T.Select(r_a % 6 == 3 and eps % 6 == 0, T.float32(1.5), T.Select(r_a % 6 == 2 and eps % 6 == 5, T.float32(-1.5), T.Select(r_a % 6 == 2 and eps % 6 == 4, T.float32(-1), T.Select(r_a % 6 == 2 and eps % 6 == 3, T.float32(-1), T.Select(r_a % 6 == 2 and eps % 6 == 2, T.float32(0.5), T.Select(r_a % 6 == 2 and eps % 6 == 1, T.float32(-2.5), T.Select(r_a % 6 == 2 and eps % 6 == 0, T.float32(-2), T.Select(r_a % 6 == 1 and eps % 6 == 5, T.float32(1), T.Select(r_a % 6 == 1 and eps % 6 == 4, T.float32(0.5), T.Select(r_a % 6 == 1 and eps % 6 == 3, T.float32(-2), T.Select(r_a % 6 == 1 and eps % 6 == 2, T.float32(-1), T.Select(r_a % 6 == 1 and eps % 6 == 1, T.float32(1), T.Select(r_a % 6 == 1 and eps % 6 == 0, T.float32(-1.5), T.Select(r_a % 6 == 0 and eps % 6 == 5, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 4, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 3, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 2, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 1, T.float32(0), T.Select(r_a % 6 == 0 and eps % 6 == 0, T.float32(1), T.float32(0))))))))))))))))))))))))))))))))))))) * T.Select(r_a_1 % 6 == 5 and nu % 6 == 5, T.float32(1), T.Select(r_a_1 % 6 == 5 and nu % 6 == 4, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 3, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 2, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 1, T.float32(0), T.Select(r_a_1 % 6 == 5 and nu % 6 == 0, T.float32(0), T.Select(r_a_1 % 6 == 4 and nu % 6 == 5, T.float32(1.5), T.Select(r_a_1 % 6 == 4 and nu % 6 == 4, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 3, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 2, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 1, T.float32(1), T.Select(r_a_1 % 6 == 4 and nu % 6 == 0, T.float32(1), T.Select(r_a_1 % 6 == 3 and nu % 6 == 5, T.float32(-2), T.Select(r_a_1 % 6 == 3 and nu % 6 == 4, T.float32(-0.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 3, T.float32(2), T.Select(r_a_1 % 6 == 3 and nu % 6 == 2, T.float32(2.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 1, T.float32(0.5), T.Select(r_a_1 % 6 == 3 and nu % 6 == 0, T.float32(1.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 5, T.float32(-1.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 4, T.float32(-1), T.Select(r_a_1 % 6 == 2 and nu % 6 == 3, T.float32(-1), T.Select(r_a_1 % 6 == 2 and nu % 6 == 2, T.float32(0.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 1, T.float32(-2.5), T.Select(r_a_1 % 6 == 2 and nu % 6 == 0, T.float32(-2), T.Select(r_a_1 % 6 == 1 and nu % 6 == 5, T.float32(1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 4, T.float32(0.5), T.Select(r_a_1 % 6 == 1 and nu % 6 == 3, T.float32(-2), T.Select(r_a_1 % 6 == 1 and nu % 6 == 2, T.float32(-1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 1, T.float32(1), T.Select(r_a_1 % 6 == 1 and nu % 6 == 0, T.float32(-1.5), T.Select(r_a_1 % 6 == 0 and nu % 6 == 5, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 4, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 3, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 2, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 1, T.float32(0), T.Select(r_a_1 % 6 == 0 and nu % 6 == 0, T.float32(1), T.float32(0)))))))))))))))))))))))))))))))))))))
for ax0, ax1, ax2, ax3 in T.grid(6, 6, 1, 1):
with T.block("data_pack_local"):
v0, v1 = T.axis.remap("SS", [ax0, ax1])
Expand Down