* always use f32 for source of randn
fixed bfloat16 randn to not have inf.
don't really care about float64. threefry is float32 based too
* HSA is broken
* test case Tensor.randn should be finite
there's a hack to fix float16, need a generic solution that works with bf16 and threefry
* skip not supported
* bfloat16 local is wrong
* skip RHIP
* Shape changing bitcast
* only support it on disk
* basic test
* more tests
* RuntimeError instead of assert
* create unique temp files
* move tests that use disk to test_disk_tensor
* linter
* remove assert on error messages
* that's RuntimeError now
---------
Co-authored-by: George Hotz <[email protected]>
* first commit
* state back to orig
* mamba comparisions
* rm file
* rename file
* use Tensor.einsum and mke default model 370M
* Cleaned code and made a comparision test
* Simplyfy pull request. Only has 1 mamba implementation now.
* Update prompt
* rm whitespaces
* last space
* remove Einops dependency
* rm unused code
* add tests
* rm print statement
* rm imports
* skip CLANG
* Update skipIf description
* skip model test in CI and add CLANG fix
* rm Device import
* don't be stupid
* Fix conv assign
When the prompt is too short, the logic for conv_state assign messes up. This can be fixed when padding the tokenized array to min length of 4. I padded using the empty string token, but idk if proper practice is to use the PAD token
* fix p1
* temp
* fix jit import
---------
Co-authored-by: schlimeszn <[email protected]>
Co-authored-by: reddyn <[email protected]>
Co-authored-by: George Hotz <[email protected]>
* wmma: refactor to remove wmma_func and create TC funcs as needed
* test_linearizer: disable bf16 CUDA during emulation testing
* cstyle: clean up creation of CUDA vec dtypes
* extra/gemm: add option to accumulate to bfloat16
* cleanups
* benchmark: add CUDA bfloat16 matmul
* more cleanups
* fuzz_linearizer: reduce debug verbosity and make easier for CI usage
* rename FUZZ_BEAM to FUZZ_ALL_ACTIONS (not choosing a subset)
* skip simple ASTs (easier to use with LOGOPS output)
* don't fuzz a previously seen AST
* add options to allow non-zero --expected-failures
* clean up naming and use set
* Track pointer provenance in load/store through ALU
Previously load/store could be incorrectly rendered into
ld.global/st.global when the input was an ALU op that performed an
address computation with DEFINE_LOCAL on one of the arguments.
* Simplify the load provenance workaround
The issue is that we can render the same code twice, and on the second
run the opstream is already modified so that vin[0] isn't a DEFINE_*,
which overwrites initially correct .shared wth .global.
* Add a couple tests for basic local use
* Skip local tests on LLVM since it doesn't implement DEFINE_LOCAL
* env var to change default float to fp16 or bf16
looking for standard names for these. we have FLOAT16 that does something to IMAGE and HALF to convert weights.
working on default bf16 too.
```
RuntimeError: compile failed: <null>(6): error: identifier "__bf16" is undefined
__bf16 cast0 = (nv_bfloat16)(val0);
```
remove that in cifar
* DEFAULT_FLOAT
* default of default
* unit test
* don't check default
* tests work on linux
* infra
* track mutations
* assign levels
* add seen back
* add test
* infra 2.0
* add assign targets
* dont need levels
* delete
* Update test_assign.py
---------
Co-authored-by: George Hotz <[email protected]>
* Adjust adds between WHERE and PHI
* Not much better
* undo recursive change
* hm
* iterate over where, not factored op
* oo
* consts only for loop
* UNdo var name change
* update
---------
Co-authored-by: Patrick Tsai <[email protected]>
previously it was incorrectly aliasing 16 into the size 8 upcast
on the store alias. now it splits it properly into 8 and the
remaining 2 into the correct local stride
* Fix permutation of result indices in einsum.
* Delete stray line used for breaking tests
* Fix linter error by renaming twice-used variable
---------
Co-authored-by: chenyu <[email protected]>
* initialize Tensor grad same type as self
* also test different default float
* check dtype + try/finally
* don't test_gradient_dtype if f16 is not supported
* fix bad merge
---------
Co-authored-by: chenyu <[email protected]>
* debug: add optional detailed BEAM_LOG logging
show uop count, compile and run times for each candidate in search
also add --timing to verify_kernel.py to make it easier to explore
hand-crafted applied opts
* fix linter
* diverse test value in test_dtype DATA based on dtype
* eh fix typo
* that too?
* PTX does not support i8 and s8
* skip that
* unused line
* pus the hack back
* remove that
geohot