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This PR is not meant to be merged and is only for easily seeing the changes made by the speculative MPI branch.

Adds support for different options and number of layers
per node.

The per-node options are implemented as parsing
command-line options from a file instead of from the
command-line itself. This allows each node to have its own
version of this options file.

The different number of layers per-node is implemented
as a new option, `mpi-layer-split`, that takes
a list of percentages. These percentages are used to calculate
the range of layers to delegate to each node. The ranges
are calculated on the head node and then scattered to the other
nodes to maintain a single source of truth.
AutonomicPerfectionist pushed a commit that referenced this pull request Nov 16, 2024
* [example] batched-bench "segmentation fault"

When `llama-batched-bench` is invoked _without_ setting `-npl`, "number
of parallel prompts", it segfaults.

The segfault is caused by invoking `max_element()` on a zero-length
vector, `n_pl`

This commit addresses that by first checking to see if the number of
parallel prompts is zero, and if so sets the maximum sequence size to 1;
otherwise, sets it to the original, the result of `max_element()`.

Fixes, when running `lldb build/bin/llama-batched-bench -- -m models/Meta-Llama-3-8B.gguf`

```
* thread #1, queue = 'com.apple.main-thread', stop reason = EXC_BAD_ACCESS (code=1, address=0x0)
    frame #0: 0x000000010000366c llama-batched-bench`main(argc=3, argv=0x000000016fdff268) at batched-bench.cpp:72:28
   69  	    llama_context_params ctx_params = llama_context_params_from_gpt_params(params);
   70
   71  	    // ensure enough sequences are available
-> 72  	    ctx_params.n_seq_max = *std::max_element(n_pl.begin(), n_pl.end());
```

* Update examples/batched-bench/batched-bench.cpp

Co-authored-by: compilade <git@compilade.net>

---------

Co-authored-by: Georgi Gerganov <ggerganov@gmail.com>
Co-authored-by: compilade <git@compilade.net>
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2 participants