From 7a75f8b36f596c87f538a3642cb6eeb16acf2898 Mon Sep 17 00:00:00 2001 From: Stas Bekman Date: Wed, 2 Dec 2020 11:10:47 -0800 Subject: [PATCH] [cifar tutorial] improve readability (#567) * [cifar tutorial] improve readability --- docs/_tutorials/cifar-10.md | 8 ++++---- 1 file changed, 4 insertions(+), 4 deletions(-) diff --git a/docs/_tutorials/cifar-10.md b/docs/_tutorials/cifar-10.md index 91f1b570..c7b53e58 100644 --- a/docs/_tutorials/cifar-10.md +++ b/docs/_tutorials/cifar-10.md @@ -108,7 +108,7 @@ The first step to apply DeepSpeed is adding DeepSpeed arguments to CIFAR-10 mode ### Initialization -We use `deepspeed.initialize` to create `model_engine`, `optimizer` and `trainloader`. Below is its definition. +We create `model_engine`, `optimizer` and `trainloader` with the help of `deepspeed.initialize`, which is defined as following: ```python def initialize(args, @@ -122,7 +122,7 @@ def initialize(args, collate_fn=None): ``` -For CIFAR-10 model, we initialize DeepSpeed its model (net) is created as below, to pass the raw `model`, `optimizer`, `args`, `parametersnd` and `trainset`. +Here we initialize DeepSpeed with CIFAR-10 model (`net`), `args`, `parameters` and `trainset`: ```python parameters = filter(lambda p: p.requires_grad, net.parameters()) @@ -132,11 +132,11 @@ For CIFAR-10 model, we initialize DeepSpeed its model (net) is created as below, # 1) Distributed model # 2) Distributed data loader # 3) DeepSpeed optimizer - model_engine, optimizer, trainloader, __ = deepspeed.initialize(args=args, model=net, model_parameters=parameters, training_data=trainset) + model_engine, optimizer, trainloader, _ = deepspeed.initialize(args=args, model=net, model_parameters=parameters, training_data=trainset) ``` -The original device and optimizer can be removed after initializing DeepSpeed. +After initializing DeepSpeed, the original `device` and `optimizer` are removed: ```python #device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") -- GitLab