TensorRT-LLMs/tests/integration/defs/examples/test_openai.py
Kaiyu Xie 2631f21089
Update (#2978)
Signed-off-by: Kaiyu Xie <26294424+kaiyux@users.noreply.github.com>
2025-03-23 16:39:35 +08:00

197 lines
7.0 KiB
Python

# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
# SPDX-License-Identifier: Apache-2.0
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Module test_openai test openai examples."""
import os
import subprocess # fmt: off
import pytest
from defs.common import find_tensorrt, venv_check_call
from defs.trt_test_alternative import call, check_call, make_clean_dirs
@pytest.fixture(scope="module")
def openai_triton_example_root(llm_root):
"Get openai-triton example root"
example_root = os.path.join(llm_root, "examples", "openai_triton",
"manual_plugin")
return example_root
@pytest.fixture(scope="module")
def openai_triton_plugingen_example_root(llm_root):
"Get openai-triton PluginGen example root"
example_root = os.path.join(llm_root, "examples", "openai_triton",
"plugin_autogen")
return example_root
@pytest.fixture(scope="module")
def llm_openai_triton_model_root(llm_venv):
"prepare openai-triton model & return model root"
workspace = llm_venv.get_working_directory()
model_root = os.path.join(workspace, "triton")
commit = "d4644d6cb3ae674e1f15932cac1f28104795744f"
call(f"git clone https://github.com/openai/triton.git {model_root}",
shell=True)
call(f"cd {model_root} && git checkout {commit}", shell=True)
llm_venv.run_cmd(["-m", "pip", "install", "cmake"])
llm_venv.run_cmd([
"-m", "pip", "install",
os.path.abspath(os.path.join(model_root, "python"))
])
yield model_root
llm_venv.run_cmd(["-m", "pip", "uninstall", "-y", "triton"])
def test_llm_openai_triton_1gpu(openai_triton_example_root,
llm_openai_triton_model_root, llm_venv,
engine_dir, trt_config, is_trt_environment):
aot_path = os.path.join(openai_triton_example_root, "aot")
aot_fp16_path = os.path.join(aot_path, "fp16")
aot_fp32_path = os.path.join(aot_path, "fp32")
call(f"mkdir -p {aot_fp16_path}", shell=True)
call(f"mkdir -p {aot_fp32_path}", shell=True)
num_stages = "2"
# yapf: disable
# Kernel for data type=float16, BLOCK_M=128, BLOCK_DMODEL=64, BLOCK_N=128
compile_cmd = [
f"{llm_openai_triton_model_root}/python/triton/tools/compile.py",
f"{openai_triton_example_root}/fmha_triton.py",
"-n", "fused_attention_kernel",
"-o", f"{aot_fp16_path}/fmha_kernel_d64_fp16",
"--out-name", "fmha_d64_fp16", "-w", "4", "-ns", num_stages,
"-s", "*fp16:16, *fp32:16, *fp32:16, *fp16:16, *fp16:16, *fp16:16, fp32, i32, i32, i32, 128, 64, 128",
"-g", "(seq_len + 127) / 128, batch_size * num_heads, 1"
]
venv_check_call(llm_venv, compile_cmd)
# Kernel for data type=float32, BLOCK_M=64, BLOCK_DMODEL=64, BLOCK_N=64
compile_cmd = [
f"{llm_openai_triton_model_root}/python/triton/tools/compile.py",
f"{openai_triton_example_root}/fmha_triton.py",
"-n", "fused_attention_kernel",
"-o", f"{aot_fp32_path}/fmha_kernel_d64_fp32",
"--out-name", "fmha_d64_fp32", "-w", "4", "-ns", num_stages,
"-s", "*fp32:16, *fp32:16, *fp32:16, *fp32:16, *fp32:16, *fp32:16, fp32, i32, i32, i32, 64, 64, 64",
"-g", "(seq_len + 63) / 64, batch_size * num_heads, 1"
]
venv_check_call(llm_venv, compile_cmd)
# Link generated headers and create dispatchers.
check_call(
f"python3 {llm_openai_triton_model_root}/python/triton/tools/link.py "
f"{aot_fp16_path}/*.h -o {aot_path}/fmha_kernel_fp16",
shell=True)
check_call(
f"python3 {llm_openai_triton_model_root}/python/triton/tools/link.py "
f"{aot_fp32_path}/*.h -o {aot_path}/fmha_kernel_fp32",
shell=True)
build_path = os.path.join(openai_triton_example_root, "build")
# yapf: enable
# make files
make_clean_dirs(build_path)
cmake_args = []
try:
import trt_test # noqa
except ImportError:
pass
else:
trt_include_dir, trt_lib_dir = find_tensorrt(
trt_config["new_ld_library_path"])
if trt_include_dir:
cmake_args.append(f"-DTRT_INCLUDE_DIR={trt_include_dir}")
if trt_lib_dir:
cmake_args.append(f"-DTRT_LIB_DIR={trt_lib_dir}")
if is_trt_environment:
cmake_args.append(f"-DCMAKE_C_FLAGS='-D_GLIBCXX_USE_CXX11_ABI=0'")
cmake_args = " ".join(cmake_args)
check_call(f"cd {build_path} && cmake {cmake_args} .. && make", shell=True)
# build engine
build_cmd = [
f"{openai_triton_example_root}/build.py", "--num_heads=32",
"--head_size=64", "--max_batch_size=8", "--max_seq_len=512",
"--dtype=float16", f"--output={engine_dir}"
]
venv_check_call(llm_venv, build_cmd)
# run inference
run_cmd = [
f"{openai_triton_example_root}/run.py", "--num_heads=32",
"--head_size=64", "--batch_size=8", "--seq_len=512",
"--log_level=verbose", "--benchmark", f"--engine_dir={engine_dir}"
]
venv_check_call(llm_venv, run_cmd)
# TODO[chunweiy]: Enable it later
def test_llm_openai_triton_plugingen_1gpu(openai_triton_plugingen_example_root,
openai_triton_example_root,
llm_openai_triton_model_root,
plugin_gen_path, llm_venv,
trt_config):
# copy the triton kernel definition
subprocess.run(
f"cp {openai_triton_example_root}/fmha_triton.py {openai_triton_plugingen_example_root}/fmha_triton.py"
.split(),
check=True)
# generate plugin
cmd = [
plugin_gen_path,
"--workspace",
"./tmp",
"--kernel_config",
os.path.join(openai_triton_plugingen_example_root, "kernel_config.py"),
]
try:
import trt_test # noqa
except ImportError:
pass
else:
trt_include_dir, trt_lib_dir = find_tensorrt(
trt_config["new_ld_library_path"])
if trt_lib_dir is not None:
cmd.append(f'--trt_lib_dir={trt_lib_dir}')
if trt_include_dir is not None:
cmd.append(f'--trt_include_dir={trt_include_dir}')
venv_check_call(llm_venv, cmd)
# build engine
cmd = [
os.path.join(openai_triton_plugingen_example_root, "build_engine.py"),
]
venv_check_call(llm_venv, cmd)
# run engine
cmd = [
os.path.join(openai_triton_plugingen_example_root, "run_engine.py"),
]
venv_check_call(llm_venv, cmd)