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https://github.com/NVIDIA/TensorRT-LLM.git
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74 lines
2.8 KiB
Python
74 lines
2.8 KiB
Python
# SPDX-FileCopyrightText: Copyright (c) 2025 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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# -*- coding: utf-8 -*-
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"""
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Model pytorch yaml config for trtllm-bench perf tests
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"""
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def get_model_yaml_config(model_label: str) -> dict:
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"""
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Return the yaml config corresponding to the model label.
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Args:
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model_label: model label from self._config.to_string()
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Returns:
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dict: yaml config
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"""
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base_config = {
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'enable_attention_dp': True,
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'print_iter_log': True,
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'use_cuda_graph': True,
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'cuda_graph_padding_enabled': True,
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}
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model_configs = {
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'deepseek_r1-bench-pytorch-float16-maxbs:1-maxnt:8192-input_output_len:1000,2000-quant:fp8-reqs:10-ep:4-gpus:8':
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{
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'use_cuda_graph': True,
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'speculative_config': {
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'decoding_type': 'MTP',
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'num_nextn_predict_layers': 3
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}
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},
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'deepseek_r1_nvfp4-bench-pytorch-float16-maxbs:1-maxnt:8192-input_output_len:1000,2000-quant:nvfp4-reqs:10-ep:4-tp:8-gpus:8':
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{
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'use_cuda_graph': True,
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'speculative_config': {
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'decoding_type': 'MTP',
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'num_nextn_predict_layers': 3
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}
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},
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'deepseek_r1-bench-pytorch-float16-maxbs:128-maxnt:1127-input_output_len:1000,2000-quant:fp8-reqs:5120-con:1024-ep:8-gpus:8':
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{
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'cuda_graph_batch_sizes': [128]
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},
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'deepseek_r1-bench-pytorch-float16-maxbs:384-maxnt:1536-input_output_len:1000,2000-quant:nvfp4-reqs:49152-con:3072-ep:8-gpus:8':
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{
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'cuda_graph_padding_enabled': True,
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'cuda_graph_batch_sizes': [1, 2, 4, 8, 16, 32, 64, 128, 256, 384]
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},
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'deepseek_r1_nvfp4-bench-pytorch-float16-maxbs:384-maxnt:1536-input_output_len:1000,2000-quant:nvfp4-reqs:49152-con:3072-ep:8-gpus:8':
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{
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'cuda_graph_padding_enabled': True,
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'cuda_graph_batch_sizes': [1, 2, 4, 8, 16, 32, 64, 128, 256, 384]
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}
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}
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# get model name from model_label
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model_name = next(
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(key for key in model_configs if key in model_label.lower()), None)
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if model_name:
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base_config.update(model_configs[model_name])
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return base_config
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