ToDevice(torch.device('cuda'),non_blocking=True), Normalize(mean,std), ] label_pipeline = [IntDecoder(), ToTensor(),View(-1)] # Pipeline for each data field 42 changes: 29 additions & 13 deletions 42 main_pretrain.py Original file line numberDiff line numberDiff line change @@ -25...
When the -z option is not passed and if the directory does not already exist and the parent directory is the mount point of a ZFS dataset, then a child of that dataset will be created and mounted at the specified location.ZFS スナップショットを作成してそれをプロモートするためのア...
{border: 1px dashed gray;margin: 0 0.4em 0.5em 0.4em;box-sizing: border-box;padding-bottom: 0.4em;background-color: white;}#sk-container-id-2 div.sk-label label {font-family: monospace;font-weight: bold;display: inline-block;line-height: 1.2em;}#sk-container-id-2 div.sk-label-...
https://support.sas.com/documentation/cdl/en/lestmtsref/69738/HTML/default/viewer.htm#p10gcmrmf83iax... You will need a variable to differentiate the datasets, look at the INDSNAME option to capture the name of the dataset. Data all; length source dsname $50.; set pl plc INDS...
Anastassia Samsonova added 1 deleted label 4 years ago arnaud @atoch · 4 years ago Reporter For the ECO data platform, it should be possible to delete a referential metadata attached to any level (observation, time series, code list, dataset) preserving data and other referential metadata...
SAS® Macros to support Dataset-XML v1.0.0In the United States, the approval process for regulated human and animal health productsrequires the submission of data from clinical trials and other studies as expressed in the Code of Federal Regulations (CFR). The FDA established the regulatory ...
MACRO基础
https://support.sas.com/documentation/cdl/en/lestmtsref/69738/HTML/default/viewer.htm#p10gcmrmf83iax... You will need a variable to differentiate the datasets, look at the INDSNAME option to capture the name of the dataset. Data all; length source dsname $50.; set pl plc INDSNA...
60 + "train_loader = DataLoader(train_dataset, batch_size=32, shuffle=True)\n", 61 + "test_loader = DataLoader(test_dataset, batch_size=32, shuffle=False)" 62 + ] 63 + }, 64 + { 65 + "cell_type": "code", 66 + "execution_count": 2, 67 + "id": "40d...
50 + "dataset.drop(\"Make\",axis=1,inplace=True)\n", 51 + "dataset[\"Make\"]=label\n", 52 + "label2=le.fit_transform(dataset[\"Drive\"])\n", 53 + "dataset.drop(\"Drive\",axis=1,inplace=True)\n", 54 + "dataset[\"Drive\"]=label2\n", 55 + "#dataset\n"...