be more specific about invalid kernel opt, used that in test_linearizer_failures.
make BEAM kernel search work even with assertion disabled.
`BEAM=2 python3 -O examples/llama.py --temperature=0 --count=10 --prompt="Hello." --timing`
* search: add tensor core to beam search space
* kernel: refactor apply_tensor_core into apply_opt and hand_coded
* kernel: revert removal of apply_tensor_cores
also revert BEAM search parameter changes
* simplest one
* but i can trust this will be cached correctly
* wait that was wrong too
* cleanup
* test_reduce_upcast for single reduce case
* a late accumulator always outputs to gds
lint
* support same uidx in multiple shape positions
* rename var
* update comment
* add contiguous index check to global_store too
* update comment
* small change
* is this better?
* smh
* smaller change?
* get rid of more changes
* get rid of more changes
* is this even making anything better
* comment
* fix test
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* remove float cast
* cast scalars to the correct value in creation time
* cast scalar in the correct place
* wrong, use y_dtype
* make consts have a unique cache key
* add cast_scalar back
* test_load_cache_const_bufs
* add bool dtype
* test_const_dtype
* fix linters
Fully UNROLLing the first_reduce should not change the number of
local_dims.
Fully UNROLLing a GROUP dim should reduce the number of
group_for_reduces by one.
Also changed group_for_reduces to be a count as the axis number
isn't used anywhere (they are always the first reduce dims).
* ops_python: add HIP tensor core mock and refactor METAL
* Add tests to CI
* add DEBUG=2 to full tests
---------
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
* start uop emu
* tiny_add passes
* more ops
* emulate the whole warp
* test_gemm passes
* metal gemm test pass
* works on big gemm
* works on big gemm
* more tests pass
* touch ups
* fix mypy
* cleanups
* exp2 mypy
* arch is where it belongs
* actually emulate tensor cores
* fix test
* new style
* PoC faster wino compile by catting consts across data expand dim
* fix fusions
* faster + golf it
* noqa 501
* implicit broadcast
* Revert "implicit broadcast"
This reverts commit 5915a9083d045ec1e6be84dcb492333325d48666.
* shorter
* shorter
* oops
* 216 upcasts is probably fine
* wino kernel count test
* test winograd number of sts
* specify device for apply_matrix mat elements
* extra/gemm: add a simple_conv.py along with correctness check
The goal is to easily test tensor core triggering situations
* test: add tests for acc_dtype handling and fixed typing
* wmma: enable METAL half tensor cores and clean up cstyle
* revert simple_matmul rand changes and break line in tensor
* added metal fp16->fp32 tensor core
we previously only upcast uint and int, and half was using half for acc.
change to acc in float for precision. but cast the result back to half to match torch/jax output dtype
the correct condition is that PADTO cannot be applied to reduce axis, not Reduce.MAX in ops.
even for Reduce.SUM it's possible that the reduce axis had a div before, and the padded 0 became inf then sum over it is incorrect.
* lazy rewrite, try 2
* min fix tests
* pass contig test
* put broken pads back
* move that to realize
* no contig child fixes array packing
* so wrong
* now that's correct
* base children
* fix bind issues
* disable to_image_idx
* fix tests
* that failure shouldn't break other tests
* more fixes
* fix torch
* skip failing tests in CI
* 1e-7
* half is broken
* 1e-6 margin of error
