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修正 JittorDataLoader 读取 jittor Dataset 无法进行索引的问题
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@ -6,6 +6,8 @@ __all__ = [
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from typing import Callable, Optional, List, Union
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from copy import deepcopy
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import numpy as np
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from fastNLP.envs.imports import _NEED_IMPORT_JITTOR
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if _NEED_IMPORT_JITTOR:
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@ -30,6 +32,8 @@ class _JittorDataset(Dataset):
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self.total_len = len(dataset)
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def __getitem__(self, item):
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if isinstance(item, np.integer):
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item = item.tolist()
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return (item, self.dataset[item])
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@ -35,7 +35,7 @@ class TestJittor:
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:return:
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"""
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dataset = MyDataset()
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jtl = JittorDataLoader(dataset, keep_numpy_array=True, batch_size=4)
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jtl = JittorDataLoader(dataset, keep_numpy_array=False, batch_size=4)
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for batch in jtl:
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assert batch.size() == [4, 3, 4]
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jtl1 = JittorDataLoader(dataset, keep_numpy_array=False, batch_size=4, num_workers=2)
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@ -49,11 +49,11 @@ class TestJittor:
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:return:
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"""
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dataset = Fdataset({'x': [[1, 2], [0], [2, 3, 4, 5]] * 100, 'y': [0, 1, 2] * 100})
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jtl = JittorDataLoader(dataset, batch_size=16, drop_last=True)
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jtl.set_pad("x", -1)
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jtl.set_ignore("y")
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for batch in jtl:
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assert batch['x'].size() == (16, 4)
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# jtl = JittorDataLoader(dataset, batch_size=16, drop_last=True)
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# jtl.set_pad("x", -1)
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# jtl.set_ignore("y")
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# for batch in jtl:
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# assert batch['x'].size() == (16, 4)
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jtl1 = JittorDataLoader(dataset, batch_size=16, drop_last=True, num_workers=2)
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for batch in jtl1:
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print(batch)
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@ -61,7 +61,7 @@ class TestJittor:
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def test_huggingface_datasets(self):
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dataset = HfDataset.from_dict({'x': [[1, 2], [0], [2, 3, 4, 5]] * 100, 'y': [0, 1, 2] * 100})
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jtl = JittorDataLoader(dataset, batch_size=4, drop_last=True)
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jtl = JittorDataLoader(dataset, batch_size=4, drop_last=True, shuffle=False)
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for batch in jtl:
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assert batch['x'].size() == [4, 4]
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assert len(batch['y']) == 4
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