Files
xc-llm-ascend/benchmarks/scripts/patch_benchmark_dataset.py
Li Wang 6db7dc2c85 [Benchmark] Refactor perf script to use benchmark cli (#1524)
### What this PR does / why we need it?

Since, `vllm bench` cli has optimized enough for production use(support
more datasets), we are now do not need to copy vllm codes, now , with
vllm installed, we can easily use the benchmark cli
### Does this PR introduce _any_ user-facing change?
No

### How was this patch tested?
CI passed

---------

Signed-off-by: wangli <wangli858794774@gmail.com>
2025-06-30 23:42:04 +08:00

78 lines
2.4 KiB
Python

import os
from argparse import ArgumentParser
import libcst as cst
import libcst.matchers as m
# Patch the benchmark_dataset.py file to set streaming=False in load_dataset calls
# TDOO(Potabk): Remove this patch when the issue is fixed in the upstream
class StreamingFalseTransformer(cst.CSTTransformer):
def __init__(self):
self.in_target_class = False
self.in_target_func = False
def visit_ClassDef(self, node):
if node.name.value == "HuggingFaceDataset":
self.in_target_class = True
def leave_ClassDef(self, original_node, updated_node):
self.in_target_class = False
return updated_node
def visit_FunctionDef(self, node):
if self.in_target_class and node.name.value == "load_data":
self.in_target_func = True
def leave_FunctionDef(self, original_node, updated_node):
self.in_target_func = False
return updated_node
def leave_Call(self, original_node, updated_node):
if self.in_target_class and self.in_target_func:
if m.matches(updated_node.func, m.Name("load_dataset")):
new_args = []
for arg in updated_node.args:
if arg.keyword and arg.keyword.value == "streaming":
new_arg = arg.with_changes(value=cst.Name("False"))
new_args.append(new_arg)
else:
new_args.append(arg)
return updated_node.with_changes(args=new_args)
return updated_node
def patch_file(path):
abs_path = os.path.abspath(path)
if not os.path.exists(abs_path):
print(f"File not found: {abs_path}")
return
with open(abs_path, "r", encoding="utf-8") as f:
source = f.read()
module = cst.parse_module(source)
modified = module.visit(StreamingFalseTransformer())
with open(abs_path, "w", encoding="utf-8") as f:
f.write(modified.code)
print(f"Patched: {abs_path}")
if __name__ == '__main__':
parser = ArgumentParser(
description=
"Patch benchmark_dataset.py to set streaming=False in load_dataset calls"
)
parser.add_argument(
"--path",
type=str,
default="/vllm-workspace/vllm/vllm/benchmarks/datasets.py",
help="Path to the benchmark_dataset.py file")
args = parser.parse_args()
patch_file(args.path)