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torch.orgqr
Alias for torch.linalg.householder_product() .
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torch.exp2
Alias for torch.special.exp2() .
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torch.erfinv
Alias for torch.special.erfinv() .
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torch.i0
Alias for torch.special.i0() .
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torch.xlogy
Alias for torch.special.xlogy() .
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torch.fix
Alias for torch.trunc()
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torch.expm1
Alias for torch.special.expm1() .
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torch.arccos
Alias for torch.acos() .
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torch.igammac
Alias for torch.special.gammaincc() .
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torch.erf
Alias for torch.special.erf() .
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torch.erfc
Alias for torch.special.erfc() .
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torch.sgn
This function is an extension of torch.sign() to complex tensors. It computes a new tensor whose elements have the same angles as the corresponding elements of input and absolute values (i.e. magnitud...
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torch.optim
torch.optim is a package implementing various optimization algorithms. Most commonly used methods are already supported, and the interface is general enough, so that more sophisticated ones can be als...
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torch.absolute
Alias for torch.abs()
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torch.t
Expects input to be <= 2-D tensor and transposes dimensions 0 and 1. 0-D and 1-D tensors are returned as is. When input is a 2-D tensor this is equivalent to transpose(input, 0, 1) . input ( Tensor ) ...
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torch.less
Alias for torch.lt() .
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torch.sinc
Alias for torch.special.sinc() .
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torch
The torch package contains data structures for multi-dimensional tensors and defines mathematical operations over these tensors. Additionally, it provides many utilities for efficient serializing of T...
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torch.dot
Computes the dot product of two 1D tensors. Note Unlike NumPy’s dot, torch.dot intentionally only supports computing the dot product of two 1D tensors with the same number of elements. input ( Tensor ...
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torch.zeros
Returns a tensor filled with the scalar value 0 , with the shape defined by the variable argument size . size ( int ... ) – a sequence of integers defining the shape of the output tensor. Can be a var...
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torch.slogdet
Alias for torch.linalg.slogdet()
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torch.greater
Alias for torch.gt() .
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torch.igamma
Alias for torch.special.gammainc() .
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torch.prod
Returns the product of all elements in the input tensor. input ( Tensor ) – the input tensor. dtype ( torch.dtype , optional) – the desired data type of returned tensor. If specified, the input tensor...
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