mirror of
https://github.com/NVIDIA/TensorRT-LLM.git
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78 lines
2.7 KiB
Python
78 lines
2.7 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2022-2024 NVIDIA CORPORATION & AFFILIATES. All rights reserved.
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# SPDX-License-Identifier: Apache-2.0
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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"""Module test_bindings test bindings examples."""
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import os
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import pytest
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from defs.common import convert_weights, venv_check_call, venv_mpi_check_call
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from defs.conftest import get_device_count, get_sm_version
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from defs.trt_test_alternative import check_call
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# skip trt flow cases on post-Blackwell-Ultra
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if get_sm_version() >= 103:
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pytest.skip(
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"TRT workflow tests are not supported on post Blackwell-Ultra architecture",
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allow_module_level=True)
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@pytest.fixture(scope="module")
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def bindings_example_root(llm_root):
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"Get bindings example root"
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example_root = os.path.join(llm_root, "examples", "bindings", "executor")
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return example_root
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@pytest.mark.parametrize("llama_model_root", ['llama-7b'], indirect=True)
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def test_llm_bindings_example(bindings_example_root, llama_example_root,
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llama_model_root, llm_venv, cmodel_dir,
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engine_dir):
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"Run basic example on single gpu"
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device_num = get_device_count()
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assert device_num in (1, 2, 4, 8)
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model_dir = convert_weights(llm_venv=llm_venv,
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example_root=llama_example_root,
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cmodel_dir=cmodel_dir,
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model='llama-7b',
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model_path=llama_model_root,
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data_type='float16',
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tp_size=device_num,
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pp_size=1)
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build_cmd = [
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"trtllm-build",
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f"--checkpoint_dir={model_dir}",
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f"--output_dir={engine_dir}",
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"--remove_input_padding=enable",
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f"--workers={device_num}",
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]
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check_call(" ".join(build_cmd), shell=True, env=llm_venv._new_env)
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print("Run basic example")
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run_cmd = [
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f"{bindings_example_root}/example_basic.py",
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f"--model_path={engine_dir}",
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]
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if device_num >= 2:
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venv_mpi_check_call(
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llm_venv, ["mpirun", "-n", f"{device_num}", "--allow-run-as-root"],
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run_cmd)
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else:
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venv_check_call(llm_venv, run_cmd)
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