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https://github.com/NVIDIA/TensorRT-LLM.git
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8681b3a4c0
* Update TensorRT-LLM --------- Co-authored-by: Bhuvanesh Sridharan <bhuvanesh.sridharan@sprinklr.com> Co-authored-by: Qingquan Song <ustcsqq@gmail.com>
45 lines
1.7 KiB
Python
45 lines
1.7 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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# # Force resource release after test
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import pytest
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@pytest.hookimpl(wrapper=True)
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def pytest_runtest_protocol(item, nextitem):
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yield
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import sys
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for m in sys.modules:
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if m == 'torch' or m.startswith('torch.'):
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import gc
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import os
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import torch
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worker_count = int(os.environ.get('PYTEST_XDIST_WORKER_COUNT', 1))
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if (torch.cuda.memory_reserved(0) + torch.cuda.memory_allocated(0)
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) >= (torch.cuda.get_device_properties(0).total_memory //
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worker_count) * 0.9:
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gc.collect()
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print("torch.cuda.memory_allocated: %fGB" %
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(torch.cuda.memory_allocated(0) / 1024 / 1024 / 1024))
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print("torch.cuda.memory_reserved: %fGB" %
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(torch.cuda.memory_reserved(0) / 1024 / 1024 / 1024))
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print("torch.cuda.max_memory_reserved: %fGB" %
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(torch.cuda.max_memory_reserved(0) / 1024 / 1024 / 1024))
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torch.cuda.empty_cache()
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break
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