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https://github.com/PaddlePaddle/FastDeploy.git
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2e9e53ff7e
* remove max_num_batched_tokens in parallel config * remove max_num_seqs * update test case * fix test * fix --------- Co-authored-by: Jiang-Jia-Jun <163579578+Jiang-Jia-Jun@users.noreply.github.com>
68 lines
2.1 KiB
Python
68 lines
2.1 KiB
Python
"""
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# Copyright (c) 2025 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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"""
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from unittest.mock import Mock
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from fastdeploy.config import (
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CacheConfig,
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FDConfig,
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GraphOptimizationConfig,
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ParallelConfig,
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SchedulerConfig,
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)
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class FakeModelConfig:
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def __init__(self):
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self.hidden_size = 768
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self.intermediate_size = 768
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self.num_hidden_layers = 12
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self.num_attention_heads = 12
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self.rms_norm_eps = 1e-6
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self.tie_word_embeddings = True
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self.ori_vocab_size = 32000
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self.moe_layer_start_index = 8
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self.pretrained_config = Mock()
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self.pretrained_config.prefix_name = "test"
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self.num_key_value_heads = 1
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self.head_dim = 1
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self.is_quantized = False
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self.hidden_act = "relu"
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self.vocab_size = 32000
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self.hidden_dropout_prob = 0.1
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self.initializer_range = 0.02
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self.max_position_embeddings = 512
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self.tie_word_embeddings = True
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self.model_format = "auto"
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def get_default_test_fd_config():
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graph_opt_config = GraphOptimizationConfig(args={})
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scheduler_config = SchedulerConfig(args={})
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scheduler_config.max_num_seqs = 1
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parallel_config = ParallelConfig(args={})
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parallel_config.data_parallel_rank = 1
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cache_config = CacheConfig({})
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fd_config = FDConfig(
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graph_opt_config=graph_opt_config,
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parallel_config=parallel_config,
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cache_config=cache_config,
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scheduler_config=scheduler_config,
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test_mode=True,
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)
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fd_config.model_config = FakeModelConfig()
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return fd_config
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