wehub-resource-sync
69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
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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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import os
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from tests.parallel_launch import TestMultipleGpus
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environment_variables = {
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"NCCL_ALGO": "Tree",
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"NVIDIA_TF32_OVERRIDE": "0",
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"NCCL_IB_TIMEOUT": "22",
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"NCCL_DEBUG": "INFO",
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"FLAGS_embedding_deterministic": "1",
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"FLAGS_cudnn_deterministic": "1",
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"Flags_mp_aysnc_allreduce": "1",
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"Flags_skip_mp_c_identity": "1",
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"FLAGS_shard_norm_align_dp": "0",
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"FLAGS_shard_use_reduce": "1",
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"test_ci_no_save_model": "1",
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}
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class TestExportEvalModel(TestMultipleGpus):
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def setUp(self):
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os.environ.update(environment_variables)
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super().setUp()
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def test_pptp_to_tp(self):
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config = {
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"output_dir": "./tmp",
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"model_name_or_path": "__internal_testing__/tiny-random-llama",
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"tensor_parallel_degree": 2,
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"pipeline_parallel_degree": 2,
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}
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scripts = "tests/run_model.py"
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self.run_4gpu(scripts, **config)
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def test_tp_to_single(self):
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config = {
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"output_dir": "./tmp",
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"model_name_or_path": "__internal_testing__/tiny-random-llama",
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"tensor_parallel_degree": 2,
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"pipeline_parallel_degree": 1,
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}
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scripts = "tests/run_model.py"
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self.run_2gpu(scripts, **config)
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def test_group_rank_guard(self):
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config = {
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"output_dir": "./tmp",
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"model_name_or_path": "__internal_testing__/tiny-random-llama",
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"tensor_parallel_degree": 2,
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"pipeline_parallel_degree": 1,
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"test_mode": "rank_guard",
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}
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scripts = "tests/run_model.py"
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self.run_2gpu(scripts, **config)
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