Comments (2)
what about generating an "undefined" TensorImpl type that just throws exceptions in every function call and the pImpl of current undefined Tensors get assigned to a (static) instance of the new TensorImpl type?
from aten.
I think that would probably work, assuming writing a Type by hand doesn't force you to implement so many methods that it would become overly verbose (I think it is fine because all the generated stuff has default methods already). The nice thing about this is that .type().cuda()
and other introspection functions can actually work even if the tensor is not defined.
from aten.
Related Issues (20)
- Serializing nn?
- cannot initialize CUDA without ATen_cuda library HOT 2
- Tensor factories (and functions) should accept Tensors/Scalars as arguments to reduce sync points (?)
- Network inference speed
- Benchmarking of Cudnn convolutions is bugged when Tensor Cores are used.
- Use of angle brackets around file names for include statements
- Current Master Branch cmake error HOT 3
- Failed in installation
- Unknown CMake command "EXCLUDE". HOT 2
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- Support in TensorFlow
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from aten.