chenyu and GitHub
6c0ec39279
UOp.is_invalid [PR] ( #17351 )
...
helper to prep ConstArg
2026-08-01 02:36:32 -04:00
chenyu and GitHub
b502fc1367
more const arg -> val ( #17350 )
2026-08-01 02:18:10 -04:00
George Hotz and GitHub
a88f832f0c
remove UOp.val ( #17345 )
2026-07-31 18:58:38 -07:00
chenyu and GitHub
ad24750487
const(value, dtype) -> const(value).cast(dtype) in tests ( #17335 )
2026-07-31 13:24:31 -04:00
chenyu and GitHub
7f4dbb8090
remove shape= from UOp.const [PR] ( #17331 )
...
inlined to const_like
2026-07-31 11:18:59 -04:00
chenyu and GitHub
8e2f175542
const(dtype, b) -> const(b, dtype) [PR] ( #17328 )
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prep for dtype removal
2026-07-31 09:46:37 -04:00
chenyu and GitHub
fe8ece7efa
fix weak for image gate fusion [pr] ( #17310 )
2026-07-30 19:47:47 -04:00
chenyu and GitHub
ce500c1946
broadcast doesn't cast CONST [pr] ( #17308 )
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* broadcast doesn't cast CONST [pr]
it might change arg from python int to python float, but not cast the CONST, so we don't need or_casted in symbolic. we lower the weak dtype right before decomp
* fix
2026-07-30 18:51:59 -04:00
chenyu and GitHub
b488cc7df2
update dtype_from_uop for SHR/SHL ( #17307 )
...
certain backend cast the distance, and we should not re-broadcast it
2026-07-30 13:57:58 -04:00
b1tg and GitHub
e25bf77ce9
kimi delta attention ( #17281 )
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* kimi delta attention
* config
* test
2026-07-30 08:23:56 -07:00
George Hotz and GitHub
b30c7e00d4
support 2d on UNSHARD (kimi) ( #17285 )
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* support 2d on UNSHARD
* fixes
* Fix test and spec
* single barrier
* 2d sharding works for devices too
* cleanups
* no _rewrap
2026-07-29 12:01:59 -07:00
chenyu and GitHub
dd86a30798
test case for weakfloat cast to weakint INDEX ( #17287 )
2026-07-29 14:15:52 -04:00
George Hotz and GitHub
57ae1bc7a7
rename MULTI to UNSHARD ( #17267 )
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* rename MULTI to UNSHARD
* comment updates (glm)
* rename method to unshard
2026-07-28 16:51:41 -07:00
George Hotz and GitHub
1757067fa6
add device range as src[1] to multi (kimi) ( #17264 )
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* add device range as src[1] to multi (kimi)
* cleanup
* fix tests
2026-07-28 16:39:34 -07:00
chenyu and GitHub
23e9e76e8c
DEFAULT_FLOAT/DEFAULT_INT ContextVar [pr] ( #17265 )
2026-07-28 19:08:18 -04:00
chenyu and GitHub
fde3a8faff
CAPTURE_PROCESS_REPLAY=0 default chaging test [PR] ( #17261 )
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* CAPTURE_PROCESS_REPLAY=0 default chaging test [PR]
quick patch before making default dtype context vars, which is quite annoying
* few more
2026-07-28 17:32:35 -04:00
qazal and GitHub
e3b3eea1e2
test for extra copy in allreduce_cast ( #16740 )
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* test for extra copy in allreduce_cast
* simpler
* cleanup
2026-07-28 19:02:54 +09:00
chenyu and GitHub
0bb36c9989
make Tensor(None) weakfloat ( #17241 )
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match other float consts
2026-07-27 16:45:28 -04:00
chenyu and GitHub
818a892ebc
flip from_py to use weak dtypes [pr] ( #17229 )
2026-07-27 10:07:00 -04:00
chenyu and GitHub
4b6760539b
fix _prepare_jit_inputs for weak [pr] ( #17222 )
2026-07-26 14:03:27 -04:00
chenyu and GitHub
a8d51097dc
realize weak is no-op [pr] ( #17219 )
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None device and weak dtype are both virtual
2026-07-26 11:52:56 -04:00
79c07a334c
fix ValueError in UOp.axis for shard reshape crossing boundary ( #16547 )
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Co-authored-by: George Hotz <[email protected] >
2026-07-26 08:38:10 -07:00
chenyu and GitHub
5d1aa84901
SHR/SHL are Broadcastable [pr] ( #17216 )
2026-07-26 02:11:03 -04:00
chenyu and GitHub
a96974e70c
slight weak behavior tweak and cleanups [pr] ( #17214 )
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* slight weak behavior tweak and cleanups [pr]
* ruff
2026-07-25 22:51:24 -04:00
chenyu and GitHub
076b37e1ae
failing batch norm test ( #17206 )
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* failing batch norm test
running stats does not schedule in training now since there's no reader
* not that
2026-07-25 18:46:49 -04:00
chenyu and GitHub
74c2121d99
promo (uint64, int) -> weakfloat like JAX [pr] ( #17204 )
2026-07-25 15:20:42 -04:00
chenyu and GitHub
2dd2e3d786
don't support Tensor(list(np.array)) [pr] ( #17175 )
2026-07-24 03:13:28 -04:00
chenyu and GitHub
3e031d6c4d
AND OR XOR SHL SHR cannot have float operands [PR] ( #17164 )
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* AND OR XOR SHL SHR cannot have float operands [PR]
* dont
2026-07-23 18:51:56 -04:00
chenyu and GitHub
9267fca91a
use STACK in wino ( #17155 )
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STACK is great
2026-07-23 13:02:42 -04:00
chenyu and GitHub
2983987321
clean up some tests ( #17154 )
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duplicated or typo or slow
2026-07-23 11:22:18 -04:00
George Hotz and GitHub
39924387b1
LOOP is srcless RANGE (kimi) ( #17129 )
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* LOOP is srcless RANGE (kimi)
* upd
* cleanups
* cleanups
* we don't float anymore
2026-07-21 18:41:31 -07:00
chenyu and GitHub
b1060ca708
don't promote dtype in _pad_constant [pr] ( #17125 )
2026-07-21 18:13:50 -04:00
chenyu and GitHub
f19a2ad771
single where mixin [pr] ( #17118 )
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* single where mixin [pr]
no shape broadcasting in ufix and _broadcasted anymore
* QCOM vectorized bool is broken
2026-07-21 17:38:36 -04:00
b764599d87
add Ops.LOOP + conditional Ops.END (kimi) ( #17117 )
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* add Ops.LOOP + conditional Ops.END (kimi)
* c
* x
---------
Co-authored-by: George Hotz <[email protected] >
2026-07-21 22:54:14 +03:00
chenyu and GitHub
46b82d4755
don't auto cast cond for WHERE ( #17115 )
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no or_casted all WHEREs with single mixin, matched torch
2026-07-21 13:00:07 -04:00
chenyu and GitHub
76dade5a11
implicit broadcast gradient based on shape only [pr] ( #17114 )
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fixed gradient for shape () UOp, enabled unify WHERE mixin
2026-07-21 12:51:54 -04:00
chenyu and GitHub
f64f96ec59
broadcast_axes [PR] ( #17112 )
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prerequisite to simplify broadcasting logic and make it implicit
2026-07-21 11:53:12 -04:00
chenyu and GitHub
95f5c85bf3
some realize and corealize for slow tests ( #17106 )
2026-07-20 21:43:23 -04:00
chenyu and GitHub
13ca9bd8a6
remove dtypes.index again ( #17104 )
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also reverted some dtype change, the split made things needlessly complicated
2026-07-20 20:30:04 -04:00
chenyu and GitHub
47629f4bcf
more weak dtype materialization raise ( #17071 )
2026-07-17 23:15:14 -04:00
chenyu and GitHub
f315df29a0
no weak Tensor from and to real buffer ( #17067 )
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* no weak Tensor from and to real buffer
creation, assign, safe_save
* is_numpy_ndarray to tensor
* one more
2026-07-17 16:09:10 -04:00
chenyu and GitHub
88826a6f35
no weak dtype for randn_like either ( #17055 )
2026-07-16 18:29:12 -04:00
chenyu and GitHub
3bfd62e915
fix 0 size tolist to match numpy ( #17054 )
2026-07-16 17:42:52 -04:00
chenyu and GitHub
6fa0b2b19e
materialize weak dtype casts to default ( #17051 )
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in clone and _buffer
2026-07-16 16:12:33 -04:00
chenyu and GitHub
f6a92d0a16
sum_acc_dtype(weak) is weak ( #17047 )
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also no explicit weak for rand
2026-07-16 14:32:37 -04:00
chenyu and GitHub
5a4156c5d1
bitcast and element_size raise for weak dtypes ( #17046 )
2026-07-16 13:07:45 -04:00
chenyu and GitHub
dba8b6b505
allow weak alu operands ( #17044 )
2026-07-16 09:33:20 -04:00
chenyu and GitHub
e8d3047a50
dtype_from_uop cleanup [PR] ( #17036 )
2026-07-15 21:52:21 -04:00
chenyu and GitHub
c23d8188e1
remove _ensure_float [pr] ( #17030 )
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do this cast late. allow `SQRT(int)`
2026-07-15 11:19:20 -04:00
chenyu and GitHub
ebe26420a7
update where Invalid rules [pr] ( #17026 )
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fixed TestInvalidTensor.test_tensor_index
2026-07-15 00:00:30 -04:00