Ct**kI 上传10.85 KB 文件格式 zip profiler pytorch A general and accurate MACs / FLOPs profiler for PyTorch models 点赞(0) 踩踩(0) 反馈 所需:1 积分 电信网络下载 BP-iris 2025-02-10 03:19:26 积分:1 rectangle 2025-02-10 03:18:27 积分:1 ...
self._msprofiler_interface = MsProfilerInterface([self._record_shapes, profile_memory, with_stack, self._with_flops, with_modules, self._experimental_config()], self._activities) self._action_controller = ActionController(self._msprofiler_interface, schedule, self, on_trace_ready) ...
elif profiler == 'torch': image_flops = profile_torch_image( model.visual, image_input_size=image_input_size, force_cpu=not retries, batch_size=batch_size) text_flops = profile_torch_text( model.text, text_input_size=text_input_size, force_cpu=not retries, batch_size=batch_size) total...
再就是profiler # Show case the usage of pytorch profiler # Set enabled to False as it's only needed for debugging training profiler: _component_: torchtune.training.setup_torch_profiler enabled: False #Output directory of trace artifacts output_dir: ${output_dir}/profiling_outputs #`torch.pro...
#`torch.profiler.ProfilerActivity` types to trace cpu: True cuda: True #trace options passed to `torch.profiler.profile` profile_memory: False with_stack: False record_shapes: True with_flops: False # `torch.profiler.schedule` options: # wait_steps -> wait, warmup_steps -> warmup, activ...
Meta前不久,官方刚出了Llama3.1 的开源LLM模型 分别是405B,70B,8B。 这是他405B和其他大模型的参数比拼表 Llama 3.1在多个任务和模型参数规模下表现出色,尤其是在代码生成、数学和推理方面表现突出。相比之下…
with_flops: bool# `torch.profiler.schedule` options: # wait_steps -> wait, warmup_steps -> warmup, active_steps -> active, num_cycles -> repeat wait_steps: int warmup_steps: int active_steps: int num_cycles: int """ # Missing profiler section in config, assume disabled if cfg_pr...
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recipes configs __init__.py eleuther_eval.py full_finetune_distributed.py full_finetune_single_device.py generate.py lora_dpo_distributed.py lora_dpo_single_device.py lora_finetune_distributed.py lora_finetune_single_device.py quantization.md ...
precisiondtype:bf16#Loggingmetric_logger:_component_:swanlab.integration.torchtune.SwanLabLoggerproject:"gemma-fintune"experiment_name:"gemma-2b"log_dir:${output_dir}output_dir:./output/alpaca-gemma-loralog_every_n_steps:1log_peak_memory_stats:False#Show case the usage of pytorch profiler#Set ...