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301 lines (280 loc) · 11.9 KB
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import argparse
import glob
from dataclasses import dataclass
from sglang.test.test_utils import run_unittest_files
@dataclass
class TestFile:
name: str
estimated_time: float = 60
suites = {
"per-commit": [
TestFile("models/lora/test_lora.py", 76),
TestFile("models/lora/test_lora_backend.py", 99),
TestFile("models/lora/test_multi_lora_backend.py", 60),
TestFile("models/lora/test_lora_cuda_graph.py", 250),
TestFile("models/test_embedding_models.py", 73),
# TestFile("models/test_clip_models.py", 52),
TestFile("models/test_encoder_embedding_models.py", 100),
TestFile("models/test_cross_encoder_models.py", 100),
TestFile("models/test_compressed_tensors_models.py", 42),
TestFile("models/test_generation_models.py", 103),
# TestFile("models/test_gme_qwen_models.py", 45),
# TestFile("models/test_grok_models.py", 60), # Disabled due to illegal memory access
TestFile("models/test_qwen_models.py", 82),
TestFile("models/test_reward_models.py", 132),
TestFile("models/test_vlm_models.py", 437),
TestFile("models/test_transformers_models.py", 320),
TestFile("test_abort.py", 51),
TestFile("test_block_int8.py", 22),
TestFile("test_create_kvindices.py", 2),
TestFile("test_chunked_prefill.py", 313),
TestFile("test_eagle_infer_a.py", 370),
TestFile("test_eagle_infer_b.py", 270),
TestFile("test_ebnf_constrained.py", 108),
TestFile("test_enable_thinking.py", 70),
TestFile("test_embedding_openai_server.py", 141),
TestFile("test_eval_fp8_accuracy.py", 303),
TestFile("test_fa3.py", 376),
# TestFile("test_flashmla.py", 352),
TestFile("test_fp8_kernel.py", 8),
TestFile("test_function_call_parser.py", 10),
TestFile("test_fused_moe.py", 30),
TestFile("test_hicache.py", 116),
TestFile("test_hicache_mla.py", 127),
TestFile("test_hidden_states.py", 55),
TestFile("test_int8_kernel.py", 8),
TestFile("test_input_embeddings.py", 38),
TestFile("test_json_constrained.py", 98),
TestFile("test_large_max_new_tokens.py", 41),
TestFile("test_metrics.py", 32),
TestFile("test_mla.py", 167),
TestFile("test_mla_deepseek_v3.py", 342),
TestFile("test_mla_int8_deepseek_v3.py", 429),
TestFile("test_mla_flashinfer.py", 302),
TestFile("test_mla_fp8.py", 93),
TestFile("test_no_chunked_prefill.py", 108),
TestFile("test_no_overlap_scheduler.py", 234),
TestFile("test_openai_adapter.py", 1),
TestFile("test_openai_function_calling.py", 60),
TestFile("test_openai_server.py", 149),
TestFile("openai/test_server.py", 120),
TestFile("openai/test_protocol.py", 60),
TestFile("openai/test_serving_chat.py", 120),
TestFile("openai/test_serving_completions.py", 120),
TestFile("openai/test_serving_embedding.py", 120),
TestFile("test_openai_server_hidden_states.py", 240),
TestFile("test_penalty.py", 41),
TestFile("test_page_size.py", 60),
TestFile("test_pytorch_sampling_backend.py", 66),
TestFile("test_radix_attention.py", 105),
TestFile("test_reasoning_content.py", 89),
TestFile("test_regex_constrained.py", 64),
TestFile("test_request_length_validation.py", 31),
TestFile("test_retract_decode.py", 54),
TestFile("test_server_args.py", 1),
TestFile("test_skip_tokenizer_init.py", 117),
TestFile("test_srt_engine.py", 261),
TestFile("test_srt_endpoint.py", 130),
TestFile("test_tool_choice.py", 226),
TestFile("test_torch_compile.py", 76),
TestFile("test_torch_compile_moe.py", 172),
TestFile("test_torch_native_attention_backend.py", 123),
TestFile("test_torchao.py", 70),
TestFile("test_triton_attention_kernels.py", 4),
TestFile("test_triton_attention_backend.py", 150),
TestFile("test_triton_moe_channel_fp8_kernel.py", 25),
TestFile("test_triton_sliding_window.py", 250),
TestFile("test_update_weights_from_disk.py", 114),
TestFile("test_update_weights_from_tensor.py", 48),
TestFile("test_vertex_endpoint.py", 31),
TestFile("test_vision_chunked_prefill.py", 175),
TestFile("test_vlm_input_format.py", 300),
TestFile("test_vision_openai_server_a.py", 584),
TestFile("test_vision_openai_server_b.py", 556),
TestFile("test_w8a8_quantization.py", 46),
],
"per-commit-amd": [
TestFile("models/lora/test_lora_backend.py", 99),
TestFile("models/lora/test_multi_lora_backend.py", 60),
TestFile("models/lora/test_lora_cuda_graph.py", 250),
TestFile("test_mla.py", 242),
TestFile("test_mla_deepseek_v3.py", 221),
TestFile("test_torch_compile.py", 76),
TestFile("test_torch_compile_moe.py", 172),
TestFile("models/test_qwen_models.py", 82),
TestFile("models/test_reward_models.py", 132),
TestFile("test_abort.py", 51),
TestFile("test_block_int8.py", 22),
TestFile("test_create_kvindices.py", 2),
TestFile("test_chunked_prefill.py", 313),
TestFile("test_embedding_openai_server.py", 141),
TestFile("test_eval_fp8_accuracy.py", 303),
TestFile("test_function_call_parser.py", 10),
TestFile("test_input_embeddings.py", 38),
TestFile("test_large_max_new_tokens.py", 41),
TestFile("test_metrics.py", 32),
TestFile("test_no_chunked_prefill.py", 108),
TestFile("test_no_overlap_scheduler.py", 234),
TestFile("test_penalty.py", 41),
TestFile("test_page_size.py", 60),
TestFile("test_pytorch_sampling_backend.py", 66),
TestFile("test_radix_attention.py", 105),
TestFile("test_reasoning_content.py", 89),
TestFile("test_enable_thinking.py", 70),
TestFile("test_request_length_validation.py", 31),
TestFile("test_retract_decode.py", 54),
TestFile("test_server_args.py", 1),
TestFile("test_skip_tokenizer_init.py", 117),
TestFile("test_torch_native_attention_backend.py", 123),
TestFile("test_triton_attention_backend.py", 150),
TestFile("test_update_weights_from_disk.py", 114),
TestFile("test_vertex_endpoint.py", 31),
TestFile("test_vision_chunked_prefill.py", 175),
],
"per-commit-2-gpu": [
TestFile("models/lora/test_lora_tp.py", 116),
TestFile("test_data_parallelism.py", 73),
TestFile("test_dp_attention.py", 137),
TestFile("test_mla_tp.py", 170),
TestFile("test_moe_ep.py", 181),
TestFile("test_patch_torch.py", 19),
TestFile("test_update_weights_from_distributed.py", 103),
TestFile("test_release_memory_occupation.py", 44),
],
"per-commit-2-gpu-amd": [
TestFile("models/lora/test_lora_tp.py", 116),
TestFile("test_data_parallelism.py", 73),
TestFile("test_mla_tp.py", 170),
TestFile("test_patch_torch.py", 19),
TestFile("test_update_weights_from_distributed.py", 103),
],
"per-commit-4-gpu": [
TestFile("test_local_attn.py", 250),
TestFile("test_pp_single_node.py", 150),
],
"per-commit-4-gpu-amd": [
TestFile("test_pp_single_node.py", 150),
],
"per-commit-8-gpu": [
# Disabled deepep tests temporarily because it takes too much time.
# TODO: re-enable them after reducing the test time with compilation cache and smaller models.
# TestFile("test_deepep_intranode.py", 50),
# TestFile("test_deepep_low_latency.py", 50),
# TestFile("test_moe_deepep_eval_accuracy_large.py", 250),
TestFile("test_disaggregation.py", 270),
TestFile("test_disaggregation_different_tp.py", 155),
TestFile("test_full_deepseek_v3.py", 463),
],
"per-commit-8-gpu-amd": [
TestFile("test_full_deepseek_v3.py", 250),
],
"per-commit-cpu": [
TestFile("cpu/test_activation.py"),
TestFile("cpu/test_decode.py"),
TestFile("cpu/test_extend.py"),
TestFile("cpu/test_gemm.py"),
TestFile("cpu/test_mla.py"),
TestFile("cpu/test_moe.py"),
TestFile("cpu/test_norm.py"),
TestFile("cpu/test_qkv_proj_with_rope.py"),
TestFile("cpu/test_rope.py"),
TestFile("cpu/test_shared_expert.py"),
],
"nightly": [
TestFile("test_nightly_gsm8k_eval.py"),
],
"nightly-amd": [
TestFile("test_nightly_gsm8k_eval_amd.py"),
],
"vllm_dependency_test": [
TestFile("test_awq.py"),
TestFile("test_bnb.py"),
TestFile("test_gguf.py", 78),
TestFile("test_gptqmodel_dynamic.py", 72),
TestFile("test_vllm_dependency.py"),
],
}
def auto_partition(files, rank, size):
"""
Partition files into size sublists with approximately equal sums of estimated times
using stable sorting, and return the partition for the specified rank.
Args:
files (list): List of file objects with estimated_time attribute
rank (int): Index of the partition to return (0 to size-1)
size (int): Number of partitions
Returns:
list: List of file objects in the specified rank's partition
"""
weights = [f.estimated_time for f in files]
if not weights or size <= 0 or size > len(weights):
return []
# Create list of (weight, original_index) tuples
# Using negative index as secondary key to maintain original order for equal weights
indexed_weights = [(w, -i) for i, w in enumerate(weights)]
# Stable sort in descending order by weight
# If weights are equal, larger (negative) index comes first (i.e., earlier original position)
indexed_weights = sorted(indexed_weights, reverse=True)
# Extract original indices (negate back to positive)
indexed_weights = [(w, -i) for w, i in indexed_weights]
# Initialize partitions and their sums
partitions = [[] for _ in range(size)]
sums = [0.0] * size
# Greedy approach: assign each weight to partition with smallest current sum
for weight, idx in indexed_weights:
# Find partition with minimum sum
min_sum_idx = sums.index(min(sums))
partitions[min_sum_idx].append(idx)
sums[min_sum_idx] += weight
# Return the files corresponding to the indices in the specified rank's partition
indices = partitions[rank]
return [files[i] for i in indices]
if __name__ == "__main__":
arg_parser = argparse.ArgumentParser()
arg_parser.add_argument(
"--timeout-per-file",
type=int,
default=1800,
help="The time limit for running one file in seconds.",
)
arg_parser.add_argument(
"--suite",
type=str,
default=list(suites.keys())[0],
choices=list(suites.keys()) + ["all"],
help="The suite to run",
)
arg_parser.add_argument(
"--range-begin",
type=int,
default=0,
help="The begin index of the range of the files to run.",
)
arg_parser.add_argument(
"--range-end",
type=int,
default=None,
help="The end index of the range of the files to run.",
)
arg_parser.add_argument(
"--auto-partition-id",
type=int,
help="Use auto load balancing. The part id.",
)
arg_parser.add_argument(
"--auto-partition-size",
type=int,
help="Use auto load balancing. The number of parts.",
)
args = arg_parser.parse_args()
print(f"{args=}")
if args.suite == "all":
files = glob.glob("**/test_*.py", recursive=True)
else:
files = suites[args.suite]
if args.auto_partition_size:
files = auto_partition(files, args.auto_partition_id, args.auto_partition_size)
else:
files = files[args.range_begin : args.range_end]
print("The running tests are ", [f.name for f in files])
exit_code = run_unittest_files(files, args.timeout_per_file)
exit(exit_code)