From 75480e75a1829ae145fe63f9626db0f96aedff4b Mon Sep 17 00:00:00 2001 From: liuzxtest02 <134442@163.com> Date: Tue, 14 Nov 2023 15:24:59 +0800 Subject: [PATCH] =?UTF-8?q?=E6=9B=B4=E6=96=B0=20'gpu=5Fmnist=5Fexample/tra?= =?UTF-8?q?in=5Fgcu.py'?= MIME-Version: 1.0 Content-Type: text/plain; charset=UTF-8 Content-Transfer-Encoding: 8bit --- gpu_mnist_example/train_gcu.py | 12 +++--------- 1 file changed, 3 insertions(+), 9 deletions(-) diff --git a/gpu_mnist_example/train_gcu.py b/gpu_mnist_example/train_gcu.py index 2dba5f0..81d70a0 100644 --- a/gpu_mnist_example/train_gcu.py +++ b/gpu_mnist_example/train_gcu.py @@ -27,14 +27,11 @@ If there are Chinese comments in the code,please add at the beginning: 示例选用的预训练模型文件为:mnist_epoch1_0.86.pkl - -代码会自动放置在/tmp/code目录下。 -数据集在界面选择后,会自动放置在/tmp/dataset目录下。 -预训练模型文件在界面选择后,会自动放置在/tmp/pretrainmodel目录下。 -输出的模型文件也需要放置在/tmp/output目录下,平台会自动下载/tmp/output目录下的文件。 -如果选用了多数据集,则应在/tmp/dataset后带上数据集名称,比如/tmp/dataset/MnistDataset_torch/train ''' +import os +print("begin:") +os.system("pip install {}".format(os.getenv("OPENI_SDK_PATH"))) import torch from model import Model import numpy as np @@ -44,9 +41,6 @@ from torch.optim import SGD from torch.utils.data import DataLoader from torchvision.transforms import ToTensor import argparse -import os -os.system("pip install {}".format(os.getenv("OPENI_SDK_PATH"))) - from openi.context import prepare, upload_openi import importlib.util