update code
Browse files- .idea/workspace.xml +2 -1
- script.py +7 -2
.idea/workspace.xml
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@@ -6,7 +6,7 @@
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<component name="ChangeListManager">
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<list default="true" id="23565123-73ab-4f40-a9ef-1086e0c9e1ec" name="Changes" comment="">
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<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/
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</list>
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<option name="SHOW_DIALOG" value="false" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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@@ -62,6 +62,7 @@
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<option name="presentableId" value="Default" />
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<updated>1742573353560</updated>
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<workItem from="1742573355153" duration="587000" />
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</task>
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<servers />
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</component>
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<component name="ChangeListManager">
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<list default="true" id="23565123-73ab-4f40-a9ef-1086e0c9e1ec" name="Changes" comment="">
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<change beforePath="$PROJECT_DIR$/.idea/workspace.xml" beforeDir="false" afterPath="$PROJECT_DIR$/.idea/workspace.xml" afterDir="false" />
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<change beforePath="$PROJECT_DIR$/script.py" beforeDir="false" afterPath="$PROJECT_DIR$/script.py" afterDir="false" />
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</list>
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<option name="SHOW_DIALOG" value="false" />
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<option name="HIGHLIGHT_CONFLICTS" value="true" />
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<option name="presentableId" value="Default" />
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<updated>1742573353560</updated>
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<workItem from="1742573355153" duration="587000" />
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+
<workItem from="1742806974298" duration="157000" />
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</task>
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<servers />
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</component>
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script.py
CHANGED
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@@ -1,16 +1,21 @@
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import io
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import time
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import torch
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import tqdm.auto as tqdm
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from datasets import load_dataset
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from models import Model
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from preprocess import preprocess
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# from pathlib import Path
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# from src.rawnet_model import RawNet
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from src.utils import *
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# Import your model and anything else you want
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# You can even install other packages included in your repo
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@@ -29,7 +34,7 @@ dataset_remote = load_dataset(DATASET_PATH,split = "test",streaming = True)
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# load your model
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device = "cuda:0"
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## DEFINE RAWNET2 MODEL
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# this_folder = Path(__file__).parent
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# config_path = this_folder / 'config' / 'rawnet_config.yaml'
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# config = read_yaml(config_path)
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import io
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import time
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import os
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import torch
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import tqdm.auto as tqdm
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from datasets import load_dataset
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import numpy as np
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import pandas as pd
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from models import Model
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from preprocess import preprocess
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# from pathlib import Path
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# from src.rawnet_model import RawNet
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# from src.utils import *
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# Import your model and anything else you want
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# You can even install other packages included in your repo
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# load your model
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device = "cuda:0"
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# # DEFINE RAWNET2 MODEL
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# this_folder = Path(__file__).parent
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# config_path = this_folder / 'config' / 'rawnet_config.yaml'
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# config = read_yaml(config_path)
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