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Introduce Scalar[T] concept with rank, shape, strides, offset defined #87

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mratsim opened this issue Oct 5, 2017 · 0 comments

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mratsim commented Oct 5, 2017

Scalar types like float32 should be considered tensors of rank 0.

It would be very useful for backpropagation (loss function Scalar -> Tensor)

mratsim added the enhancement label

This was referenced Sep 30, 2018

Make GRU usable in the NN DSL #304

Merged

Autograd - Implement slice autograd properly #305

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mratsim mentioned this issue

Automatically overload custom procedures to take tensors and scalars #483

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