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6 changes: 3 additions & 3 deletions tests/python/te/test_te_create_primfunc.py
Original file line number Diff line number Diff line change
Expand Up @@ -921,11 +921,11 @@ def tir_workload(
# fmt: off
adaptive_pool_sum = T.sblock_alloc_buffer((1, 1024, 12, 30))
for ax0, ax1, ax2, ax3 in T.grid(1, 1024, 12, 30):
with T.sblock("adaptive_pool_sum_1"):
with T.sblock("adaptive_pool_sum_l1"):
v_ax0, v_ax1, v_ax2, v_ax3 = T.axis.remap("SSSS", [ax0, ax1, ax2, ax3])
T.reads(x[v_ax0, v_ax1, v_ax2 * 16 // 12:v_ax2 * 16 // 12 + ((v_ax2 % 3 * 4 + 16) // 12 + 1), v_ax3 * 40 // 30:v_ax3 * 40 // 30 + ((v_ax3 % 3 * 10 + 40) // 30 + 1)])
T.writes(adaptive_pool_sum[v_ax0, v_ax1, v_ax2, v_ax3])
for rv0, rv1 in T.grid((v_ax2 % 3 * 4 + 16) // 12 + 1, (v_ax3 % 3 * 10 + 40) // 30 + 1):
for rv0, rv1 in T.grid(T.Select((v_ax2 * 16 + 4) % 12 == 0, (v_ax2 * 16 + 16) // 12, (v_ax2 * 16 + 16) // 12 + 1) - v_ax2 * 16 // 12, T.Select((v_ax3 * 40 + 10) % 30 == 0, (v_ax3 * 40 + 40) // 30, (v_ax3 * 40 + 40) // 30 + 1) - v_ax3 * 40 // 30):
with T.sblock("adaptive_pool_sum"):
v_ax0_1 = T.axis.spatial((v_ax0, v_ax0 + 1), v_ax0)
v_ax1_1 = T.axis.spatial((v_ax1, v_ax1 + 1), v_ax1)
Expand All @@ -943,7 +943,7 @@ def tir_workload(
T.reads(adaptive_pool_sum[v_ax0, v_ax1, v_ax2, v_ax3])
T.writes(adaptive_pool_avg[v_ax0, v_ax1, v_ax2, v_ax3])
T.sblock_attr({"schedule_rule": "meta_schedule.adaptive_pool_avg"})
adaptive_pool_avg[v_ax0, v_ax1, v_ax2, v_ax3] = adaptive_pool_sum[v_ax0, v_ax1, v_ax2, v_ax3] / (T.Cast("float32", (v_ax2 % 3 * 4 + 16) // 12 + 1) * T.Cast("float32", (v_ax3 % 3 * 10 + 40) // 30 + 1))
adaptive_pool_avg[v_ax0, v_ax1, v_ax2, v_ax3] = adaptive_pool_sum[v_ax0, v_ax1, v_ax2, v_ax3] / (T.Cast("float32", T.Select((v_ax2 * 16 + 4) % 12 == 0, (v_ax2 * 16 + 16) // 12, (v_ax2 * 16 + 16) // 12 + 1) - v_ax2 * 16 // 12) * T.Cast("float32", T.Select((v_ax3 * 40 + 10) % 30 == 0, (v_ax3 * 40 + 40) // 30, (v_ax3 * 40 + 40) // 30 + 1) - v_ax3 * 40 // 30))
# fmt: on

def te_workload():
Expand Down
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