mirror of
https://github.com/wassname/pytorch-for-numpy-users.git
synced 2026-06-27 16:10:21 +08:00
Kentaro Wada
47 lines
1.1 KiB
YAML
47 lines
1.1 KiB
YAML
types:
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- numpy: np.float32
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pytorch: torch.FloatTensor
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- numpy: np.float64
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pytorch: torch.DoubleTensor
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- numpy: np.int8
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pytorch: torch.CharTensor
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- numpy: np.uint8
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pytorch: torch.ByteTensor
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- numpy: np.int16
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pytorch: torch.ShortTensor
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- numpy: np.int32
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pytorch: torch.IntTensor
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- numpy: np.int64
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pytorch: torch.LongTensor
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constructors:
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ones and zeros:
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- numpy: np.empty((2, 3))
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pytorch: torch.Tensor(2, 3)
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- numpy: np.empty_like(x)
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pytorch: x.new(x.size()).type(x.type())
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- numpy: np.eye
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pytorch: torch.eye
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- numpy: np.identity
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pytorch: torch.eye
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- numpy: np.ones
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pytorch: torch.ones
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- numpy: np.ones_like
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pytorch: torch.ones(x.size()).type(x.type())
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- numpy: np.zeros
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pytorch: torch.zeros
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- numpy: np.zeros_like
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pytorch: torch.zeros(x.size()).type(x.type())
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# - numpy: x.astype(np.int32)
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# pytorch: x.type(torch.IntTensor)
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#
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# - numpy: y = x.copy()
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# pytorch: y = x.clone()
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#
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# - numpy: x.shape
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# pytorch: x.size()
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#
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# - numpy: x.size
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# pytorch: x.nelement()
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