加下来使用 DeepSpeed 的 init_inference 函数包装模型,可以看到之后的模型层变成了 DeepSpeedTransformerInference 类,代码如下: import deepspeed # init deepspeed inference engine ds_model = deepspeed.init_inference( model=model, # Transformers models mp_size=1, # Number of GPU dtype=torch.float16, # dt...
如今搞大模型,仍然需要对大量样本数据做计算,因为涉及矩阵运算,单机单卡运算效率太低,也涉及到分布式计算了,大模型时代的分布式pre-train和Inference框架就有现成的—deepspeed! 1、老规矩,先直观体验一下deepspeed的使用: (1)自己定义一个简单的模型:model.py importtorchimportnumpy as npclassFashionModel(torch.nn....
# 3. 使用 DeepSpeed 初始化模型 model = deepspeed.init_inference(model, config_params=deepspeed_config) # 4. 推理示例 inputs = tokenizer("SELECT * FROM users WHERE id = 1;", return_tensors="pt") inputs = {key: value.cuda() for key, value in inputs.items()} # 将输入迁移到 GPU ...
init_inference(model, mp_size=parallel_degree, mpu=mpu, checkpoint=[checkpoint_list], dtype=args.dtype, injection_policy=injection_policy, ) 图2:DeepSpeed 推理管道和管道不同阶段的推理 API 伪代码。 MoQ 可用于量化模型检查点,作为推理前的可选预处理阶段,其中量化配置(包括所需的量化位和计划)通过 ...
stas00-dist-init-device-id gma/rollback_6726 olruwase/fast_persist ulysses loadams/update-torch-latest-27 tohtana/support_autocast saforem2/fix-missing-packages sp-mpu tohtana/bcast_input loadams/update-container-pre-compile loadams/cuda-compilation-nv-bfloat162 ...
init_inference(model, mp_size=4, dtype=torch.float16, pipeline_parallel=True) 4. Tensor SlicingTensor slicing helps fit the model onto hardware with limited memory by slicing large tensors into chunks. Load is distributed across the GPUs, contributing to memory consumption reduction and ...
{ "tensor_parallel": {"tp_size": 1}, "dtype": "bf16", "replace_with_kernel_inject": True, "replace_method": "auto", } ds_model = deepspeed.init_inference(model=model, config=ds_config) input_ids = torch.randint(0, 50257, (5, 256)) ds_model.module.generate(input_ids.to(ds...
加下来使用 DeepSpeed 的 init_inference 函数包装模型,可以看到之后的模型层变成了 DeepSpeedTransformerInference 类,代码如下: import deepspeed # init deepspeed inference engine ds_model = deepspeed.init_inference( model=model, # Transformers models mp_size=1, # Number of GPU dtype=torch.float16, # dt...
Enabled Qwen2-MoE Tensor Parallism (TP) inference 08f728d Collaborator Hi@Yejing-Lai, do you want to provide some comments on this PR for Qwen2-MoE AutoTP support? Contributor Could you try to modify this line if it can meet your needs?https://github.com/microsoft/DeepSpeed/blob/master/...
(model_name)model=deepspeed.init_inference(model,mp_size=tensor_parallel,dtype=model.dtype,replace_method='auto',replace_with_kernel_inject=True)generator=pipeline(task='text-generation',model=model,tokenizer=tokenizer,device=local_rank)returngeneratordefhandle(inputs:I...