[QST]Question about the picture in documentation `Efficient GEMM in CUDA`

[sleepwalker2017]

I notice the picture in this manual: https://github.com/NVIDIA/cutlass/blob/main/media/docs/efficient_gemm.md

The partition from global memory to shared memory blocks is easy to understand.

My question comes from the 2nd part: Thread Block Tile.

In the picture, it seems to use an External product, which uses a column in A and a row in B to generate a matrix C.

A.shape (m, 1), B.shape (1, N) -> C.shape (M, N)

Is that the fact?

If so, why is it different from the 1st block partition?

[gokulcoder7]

how to find api key for ollama models ?

[iorisa]

For the configuration of ollama's config2.yaml, you can refer to this document: ollama-api If it is a local ollama model, you can fill in any string, but it cannot be an empty string, left unfilled, or YOUR_API_KEY.

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[gokulcoder7]

Tried this but I got new errror

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[better629]

Due to the lack of updates or replies by the user for a long time, we will close it. Please reopen it if necessary.