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fix: not output result in some linux system

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This commit is contained in:
fujianhao.fjh 2025-04-10 18:18:30 +08:00
parent 42494864ba
commit 0f80da8458
3 changed files with 20 additions and 20 deletions
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18
tests/test_internode.py
View File

@ -76,7 +76,7 @@ def test_main(num_sms: int, local_rank: int, num_local_ranks: int, num_ranks: in
t = bench(lambda: buffer.get_dispatch_layout(topk_idx, num_experts))[0] t = bench(lambda: buffer.get_dispatch_layout(topk_idx, num_experts))[0]
if local_rank == 0: if local_rank == 0:
print(f'[layout] Kernel performance: {t * 1000:.3f} ms', flush=True) print(f'[layout] Kernel performance: {t * 1000:.3f} ms', flush=True)
print() print('', flush=True)
group.barrier() group.barrier()
time.sleep(1) time.sleep(1)
@ -163,7 +163,7 @@ def test_main(num_sms: int, local_rank: int, num_local_ranks: int, num_ranks: in
if local_rank == 0: if local_rank == 0:
print(' passed', flush=True) print(' passed', flush=True)
if local_rank == 0: if local_rank == 0:
print() print('', flush=True)
# Tune dispatch performance # Tune dispatch performance
best_dispatch_results = None best_dispatch_results = None
@ -180,10 +180,10 @@ def test_main(num_sms: int, local_rank: int, num_local_ranks: int, num_ranks: in
if t < best_time: if t < best_time:
best_time, best_results = t, (num_sms, nvl_chunk_size, rdma_chunk_size) best_time, best_results = t, (num_sms, nvl_chunk_size, rdma_chunk_size)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}, RDMA chunk {rdma_chunk_size}: {rdma_send_bytes / 1e9 / t:.2f} GB/s (RDMA), {nvl_recv_bytes / 1e9 / t:.2f} GB/s (NVL) ') print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}, RDMA chunk {rdma_chunk_size}: {rdma_send_bytes / 1e9 / t:.2f} GB/s (RDMA), {nvl_recv_bytes / 1e9 / t:.2f} GB/s (NVL) ', flush=True)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] Best dispatch ({"FP8" if isinstance(current_x, tuple) else "BF16"}): SMs {best_results[0]}, NVL chunk {best_results[1]}, RDMA chunk {best_results[2]}: {rdma_send_bytes / 1e9 / best_time:.2f} GB/s (RDMA), {nvl_recv_bytes / 1e9 / best_time:.2f} GB/s (NVL)') print(f'[tuning] Best dispatch ({"FP8" if isinstance(current_x, tuple) else "BF16"}): SMs {best_results[0]}, NVL chunk {best_results[1]}, RDMA chunk {best_results[2]}: {rdma_send_bytes / 1e9 / best_time:.2f} GB/s (RDMA), {nvl_recv_bytes / 1e9 / best_time:.2f} GB/s (NVL)', flush=True)
print() print('', flush=True)
if isinstance(current_x, tuple): if isinstance(current_x, tuple):
# Gather FP8 the best config from rank 0 # Gather FP8 the best config from rank 0
@ -206,13 +206,13 @@ def test_main(num_sms: int, local_rank: int, num_local_ranks: int, num_ranks: in
tune_args = {'x': recv_x, 'handle': handle, 'config': config} tune_args = {'x': recv_x, 'handle': handle, 'config': config}
t = bench(lambda: buffer.combine(**tune_args))[0] t = bench(lambda: buffer.combine(**tune_args))[0]
if local_rank == 0: if local_rank == 0:
print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}, RDMA chunk {rdma_chunk_size}: {combine_bf16_rdma_recv_bytes / 1e9 / t:.2f} GB/s (RDMA), {combine_bf16_nvl_send_bytes / 1e9 / t:.2f} GB/s (NVL) ') print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}, RDMA chunk {rdma_chunk_size}: {combine_bf16_rdma_recv_bytes / 1e9 / t:.2f} GB/s (RDMA), {combine_bf16_nvl_send_bytes / 1e9 / t:.2f} GB/s (NVL) ', flush=True)
if t < best_time: if t < best_time:
best_time, best_results = t, (num_sms, nvl_chunk_size, rdma_chunk_size) best_time, best_results = t, (num_sms, nvl_chunk_size, rdma_chunk_size)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] Best combine: SMs {best_results[0]}, NVL chunk {best_results[1]}, RDMA chunk {best_results[2]}: {combine_bf16_rdma_recv_bytes / 1e9 / best_time:.2f} GB/s (RDMA), {combine_bf16_nvl_send_bytes / 1e9 / best_time:.2f} GB/s (NVL)') print(f'[tuning] Best combine: SMs {best_results[0]}, NVL chunk {best_results[1]}, RDMA chunk {best_results[2]}: {combine_bf16_rdma_recv_bytes / 1e9 / best_time:.2f} GB/s (RDMA), {combine_bf16_nvl_send_bytes / 1e9 / best_time:.2f} GB/s (NVL)', flush=True)
print() print('', flush=True)
# noinspection PyUnboundLocalVariable # noinspection PyUnboundLocalVariable
@ -231,7 +231,7 @@ def test_loop(local_rank: int, num_local_ranks: int):
for i in (24, ): for i in (24, ):
test_main(i, local_rank, num_local_ranks, num_ranks, num_nodes, rank, buffer, group) test_main(i, local_rank, num_local_ranks, num_ranks, num_nodes, rank, buffer, group)
if local_rank == 0: if local_rank == 0:
print() print('', flush=True)
# Test compatibility with low latency functions # Test compatibility with low latency functions
if test_ll_compatibility: if test_ll_compatibility:

18
tests/test_intranode.py
View File

@ -60,7 +60,7 @@ def test_main(num_sms: int, local_rank: int, num_ranks: int, rank: int, buffer:
t = bench(lambda: buffer.get_dispatch_layout(topk_idx, num_experts))[0] t = bench(lambda: buffer.get_dispatch_layout(topk_idx, num_experts))[0]
if local_rank == 0: if local_rank == 0:
print(f'[layout] Kernel performance: {t * 1000:.3f} ms', flush=True) print(f'[layout] Kernel performance: {t * 1000:.3f} ms', flush=True)
print() print('', flush=True)
group.barrier() group.barrier()
time.sleep(1) time.sleep(1)
@ -145,7 +145,7 @@ def test_main(num_sms: int, local_rank: int, num_ranks: int, rank: int, buffer:
if local_rank == 0: if local_rank == 0:
print(' passed', flush=True) print(' passed', flush=True)
if local_rank == 0: if local_rank == 0:
print() print('', flush=True)
# Tune dispatch performance # Tune dispatch performance
best_dispatch_results = None best_dispatch_results = None
@ -160,10 +160,10 @@ def test_main(num_sms: int, local_rank: int, num_ranks: int, rank: int, buffer:
if t < best_time: if t < best_time:
best_time, best_results = t, (num_sms, nvl_chunk_size) best_time, best_results = t, (num_sms, nvl_chunk_size)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}: {nvl_recv_bytes / 1e9 / t:.2f} GB/s (NVL) ') print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}: {nvl_recv_bytes / 1e9 / t:.2f} GB/s (NVL) ', flush=True)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] Best dispatch ({"FP8" if isinstance(current_x, tuple) else "BF16"}): SMs {best_results[0]}, NVL chunk {best_results[1]}, {nvl_recv_bytes / 1e9 / best_time:.2f} GB/s (NVL)') print(f'[tuning] Best dispatch ({"FP8" if isinstance(current_x, tuple) else "BF16"}): SMs {best_results[0]}, NVL chunk {best_results[1]}, {nvl_recv_bytes / 1e9 / best_time:.2f} GB/s (NVL)', flush=True)
print() print('', flush=True)
if isinstance(current_x, tuple): if isinstance(current_x, tuple):
# Gather FP8 the best config from rank 0 # Gather FP8 the best config from rank 0
@ -185,13 +185,13 @@ def test_main(num_sms: int, local_rank: int, num_ranks: int, rank: int, buffer:
tune_args = {'x': recv_x, 'handle': handle, 'config': config} tune_args = {'x': recv_x, 'handle': handle, 'config': config}
t = bench(lambda: buffer.combine(**tune_args))[0] t = bench(lambda: buffer.combine(**tune_args))[0]
if local_rank == 0: if local_rank == 0:
print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}: {combine_bf16_nvl_send_bytes / 1e9 / t:.2f} GB/s (NVL) ') print(f'[tuning] SMs {num_sms}, NVL chunk {nvl_chunk_size}: {combine_bf16_nvl_send_bytes / 1e9 / t:.2f} GB/s (NVL) ', flush=True)
if t < best_time: if t < best_time:
best_time, best_results = t, (num_sms, nvl_chunk_size) best_time, best_results = t, (num_sms, nvl_chunk_size)
if local_rank == 0: if local_rank == 0:
print(f'[tuning] Best combine: SMs {best_results[0]}, NVL chunk {best_results[1]}: {combine_bf16_nvl_send_bytes / 1e9 / best_time:.2f} GB/s (NVL)') print(f'[tuning] Best combine: SMs {best_results[0]}, NVL chunk {best_results[1]}: {combine_bf16_nvl_send_bytes / 1e9 / best_time:.2f} GB/s (NVL)', flush=True)
print() print('', flush=True)
# noinspection PyUnboundLocalVariable # noinspection PyUnboundLocalVariable
@ -209,7 +209,7 @@ def test_loop(local_rank: int, num_local_ranks: int):
for i in (24, ): for i in (24, ):
test_main(i, local_rank, num_ranks, rank, buffer, group) test_main(i, local_rank, num_ranks, rank, buffer, group)
if local_rank == 0: if local_rank == 0:
print() print('', flush=True)
# Test compatibility with low latency functions # Test compatibility with low latency functions
if test_ll_compatibility: if test_ll_compatibility:

4
tests/test_low_latency.py
View File

@ -137,10 +137,10 @@ def test_main(num_tokens: int, hidden: int, num_experts: int, num_topk: int,
suppress_kineto_output=True) suppress_kineto_output=True)
if not return_recv_hook: if not return_recv_hook:
print(f'[rank {rank}] Dispatch bandwidth: {num_dispatch_comm_bytes / 1e9 / dispatch_t:.2f} GB/s, avg_t={dispatch_t * 1e6:.2f} us | ' print(f'[rank {rank}] Dispatch bandwidth: {num_dispatch_comm_bytes / 1e9 / dispatch_t:.2f} GB/s, avg_t={dispatch_t * 1e6:.2f} us | '
f'Combine bandwidth: {num_combine_comm_bytes / 1e9 / combine_t:.2f} GB/s, avg_t={combine_t * 1e6:.2f} us') f'Combine bandwidth: {num_combine_comm_bytes / 1e9 / combine_t:.2f} GB/s, avg_t={combine_t * 1e6:.2f} us', flush=True)
else: else:
print(f'[rank {rank}] Dispatch send/recv time: {dispatch_t * 2 * 1e6:.2f} us | ' print(f'[rank {rank}] Dispatch send/recv time: {dispatch_t * 2 * 1e6:.2f} us | '
f'Combine send/recv time: {combine_t * 2 * 1e6:.2f} us') f'Combine send/recv time: {combine_t * 2 * 1e6:.2f} us', flush=True)
return hash_value return hash_value