 chenyuandGitHub
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b8cc74ecf8
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no float in tensor shape [pr] (#17605)
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2026-08-19 15:40:16 -04:00 |
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 chenyuandGitHub
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138fb4a783
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delete dead DType.scalar [PR] (#17561)
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2026-08-16 21:12:17 -04:00 |
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 chenyuandGitHub
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818a892ebc
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flip from_py to use weak dtypes [pr] (#17229)
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2026-07-27 10:07:00 -04:00 |
|
 George HotzandGitHub
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fdffc6c0c8
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remove dtypes base (#16931)
* remove dtypes base
* find/replace bug
* vcount is junk too
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2026-07-08 11:48:11 -07:00 |
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 chenyuandGitHub
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3a9b87e48f
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remove Ops.DEVICE from Ops.PROGRAM [PR] (#16797)
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2026-06-29 17:41:31 -04:00 |
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 chenyuandGitHub
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5d1867a6c3
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more Tensor.training -> TRAINING [PR] (#16770)
code and test and doc
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2026-06-26 20:11:59 -04:00 |
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 chenyuandGitHub
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33b635d23a
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Tensor.train -> TRAINING [PR] (#16705)
* Tensor.train -> TRAINING [PR]
* doc
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2026-06-22 15:13:22 -04:00 |
|
 chenyuandGitHub
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243446b44f
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remove CONST(DEVICE) from const_like (#16488)
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2026-06-03 14:04:51 -04:00 |
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 chenyuandGitHub
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8a4203638a
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make full with buffer=False deviceless (#16483)
affects arange and eye
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2026-06-03 12:35:59 -04:00 |
|
 George HotzandGitHub
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20242fdf1d
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update test + spec from shrink_in_render (#16467)
* update test + spec from shrink_in_render
* cast
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2026-06-01 19:24:43 -07:00 |
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 chenyuandGitHub
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31424cda71
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Tensor.requires_grad -> is_param (#16325)
for optimizer
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2026-05-21 19:39:57 -04:00 |
|
 chenyuandGitHub
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73ea36f4ac
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full(buffer=True) (#16311)
make full a buffer with flag to turn off
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2026-05-21 16:34:44 -04:00 |
|
 sirhcmandGitHub
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172f9493e1
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move is_dtype_supported to renderer (#16226)
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2026-05-20 21:19:37 -04:00 |
|
 George HotzandGitHub
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3f2d401464
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all tests pass with NOOPT=1 (#16257)
* all tests pass with NOOPT=1
* fix a few more
* noopt 100% pass
* noopt 100% pass
|
2026-05-18 20:39:51 -07:00 |
|
 chenyuandGitHub
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8631b6f17d
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remove use of requires_grad in test/ (#16237)
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2026-05-16 17:21:07 -04:00 |
|
 nimlgenandGitHub
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4164666c72
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programinfo (#15942)
* programinfo
* fix
* m
* x
* x
* changes
* x
* fix
* rm
|
2026-04-27 23:12:03 +03:00 |
|
 nimlgenandGitHub
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d3378010ee
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schedule() -> schedule_linear() in tests (batch 1) (#15915)
* schedule_with_vars -> linear_with_vars in tests
* tests batch 1
* batch 2
* estimate_uop
* simpler
* rm
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2026-04-24 23:40:53 +03:00 |
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 chenyuandGitHub
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c24da99d56
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avg_pool2d, max_pool2d to mixin (#15903)
* avg_pool2d, max_pool2d to mixin
* fix
* just dtype
* that
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2026-04-23 23:36:17 -04:00 |
|
 chenyuandGitHub
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7c9bc29e44
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Tensor method raise if arg is on different device (#15879)
instead of implicit `to`. this matches torch
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2026-04-22 22:20:22 -04:00 |
|
 chenyuandGitHub
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0191cc73dc
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update arange range check (#15794)
it was not checking negative steps correctly
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2026-04-17 16:07:50 -04:00 |
|
 chenyuandGitHub
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1aa04eab08
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simple CreationMixin (#15567)
start with full_like, zeros_like, ones_like
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2026-04-01 23:00:56 -04:00 |
|
 chenyuandGitHub
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f5c0794df2
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fix Tensor.const_like (#15565)
used to always return a 0-d tensor, now returns an expanded Tensor based on self.shape and matches UOp
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2026-04-01 08:35:19 -04:00 |
|
 nimlgenandGitHub
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d4836ddbb0
|
canonicalize device from tuple (#15348)
* will it ifx ci?
* test
* um
|
2026-03-18 20:35:52 +08:00 |
|
 chenyuandGitHub
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94926d00d8
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fix rand > uint32.max (#15330)
need to keep low and high as 1D tensor.
`PYTHONPATH=. LLAMA3_SIZE=405B python3 examples/mlperf/models/flat_llama.py` works now
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2026-03-17 22:00:01 -04:00 |
|
 chenyuandGitHub
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557134e1c7
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model/test fix that failed with WEBGPU=1 DEBUG=2 (#14706)
|
2026-02-12 09:08:16 -05:00 |
|
 George HotzandGitHub
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d59e6e7a37
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move more tests to test/null, split some existing ones (#14512)
* move more tests to test/null, split some existing ones
* null work
* null work
* move more
* fixes
* move PIL
* PIL in CLIP
* don't move that
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2026-02-03 20:20:20 +08:00 |
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