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torch backend: use tensordot if available #66

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Oct 16, 2018
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torch backend: use tensordot if available #66

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9 changes: 8 additions & 1 deletion opt_einsum/backends/torch.py
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Original file line number Diff line number Diff line change
Expand Up @@ -12,17 +12,20 @@
__all__ = ["transpose", "einsum", "tensordot", "to_torch", "build_expression", "evaluate_constants"]

_TORCH_DEVICE = None
_TORCH_HAS_TENSORDOT = None

_torch_symbols_base = 'abcdefghijklmnopqrstuvwxyzABCDEFGHIJKLMNOPQRSTUVWXYZ'


def _get_torch_and_device():
global _TORCH_DEVICE
global _TORCH_HAS_TENSORDOT

if _TORCH_DEVICE is None:
import torch
device = 'cuda' if torch.cuda.is_available() else 'cpu'
_TORCH_DEVICE = torch, device
_TORCH_HAS_TENSORDOT = hasattr(torch, 'tensordot')

return _TORCH_DEVICE

Expand All @@ -47,7 +50,11 @@ def einsum(equation, *operands):
def tensordot(x, y, axes=2):
"""Simple translation of tensordot syntax to einsum.
"""
# XXX: tensordot should be directly implemented in torch soon
torch, _ = _get_torch_and_device()

if _TORCH_HAS_TENSORDOT:
return torch.tensordot(x, y, dims=axes)

xnd = x.ndimension()
ynd = y.ndimension()

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