How will vectorization work? If there is a `vectorize` directive spanning a
logical extent, will the vectorization pass create multidimensional `ramp`s?
How will vector loads and stores be represented?
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True, and that would allow both for user-defined mappings, and for specifying
standard layouts. I have a bit of concern with using the `scope` parameter to
also describe layouts, since in my mind "scope" refers to where the entire
buffer is located, while "layout" refers to how individual eleme
> @gromero please take a look at the comments here and lmk when it's ready for
> another review
@areusch Hi. Please take a look. I've also added the text stressing that every
option must be associated at least to one API method, as per our discussion
last week in the Meetup. Thanks.
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The syntax of block bindings looks good to me! Specially it makes it really
clear to the readers that there is a "block binding" to avoid future surprise.
BTW, do we have a reference for the behavior of auto-completion on T.read/write?
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One way to represent the layout mapping in TIR is to introduce different
storage scopes and have a registry of pre-defined layout mapping (for example,
we already did similar thing for [`wmma`
fragments](https://github.com/apache/tvm/blob/813136401a11a49d6c15e6013c34dd822a5c4ff6/python/tvm/topi/
Thank you for the comments, @vinx13.
> For example, another way is to use a mapping function: (n, c, h, w) -> (n,
> tir.floordiv(c, 4), h, w, tir.floormod(c, 4)). This would allow arbitrary
> mapping (we can add more restrictions like requiring affine mapping though,
> to make analysis easier).
It's the rfc for a new block syntax in TVMScript.
Co-authored-by: Junru Shao
Co-authored-by: Zihao Ye
Co-authored-by: Tianqi Chen
You can view, comment on, or merge this pull request online at:
https://github.co
This RFC changes `Array AllocateNode::extents` to `PrimExpr
AllocateNode::extent`, giving the 1-d size of the buffer to be allocated. This
is part of the separation between logical layout and physical layout, proposed
in [RFC#0039](https://github.com/apache/tvm-rfcs/pull/0039).
TODO: