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Author SHA1 Message Date
Anish Umale
bafa40fe12
 		Tiny backend test_ops fix part1 (#9338) 
* extract name methods from https://github.com/tinygrad/tinygrad/pull/9302

* t.grad.numpy() -> t.grad.cpu().numpy()

* revert TORCH_DEBUG change

* revert dtype change in aten.sum
 2025-03-03 12:36:51 -05:00
George Hotz
0d4ba7dd87
 		import tinygrad.frontend.torch (#9337) 
* import tinygrad.frontend.torch

* type ignore
 2025-03-04 00:15:29 +08:00
qazal
23084fd850
 		merge merge_views and remove_movement_ops [pr] (#9333) 
* merge merge_views and remove_movement_ops [pr]

* fix that assert
 2025-03-03 12:38:59 +01:00
George Hotz
ece0a0f305
 		use empty for test instead of rand (#9332) 2025-03-03 16:19:06 +08:00
George Hotz
2cc4cb74f0
 		reorder binops (#9328) 
* reorder binops

* test improvements + fix string tests

* ugh, okay this
 2025-03-03 14:58:18 +08:00
chenyu
146eb73790
 		fix Tensor.view with a tuple arg (#9330) 2025-03-02 23:35:23 -05:00
chenyu
ba4b8c2c23
 		Tensor.copysign (#9329) 2025-03-02 21:33:49 -05:00
nimlgen
8cae00833c
 		flaky test in ci (#9321) 2025-03-02 16:27:22 +03:00
Ali Ladjevardi
00028e87bb
 		Failing test for not realizing intermediate expand in multi-GPU (#9320) 2025-03-02 12:54:48 +01:00
George Hotz
ba97fd0b9c hotfix: add test/external/external_benchmark_disk_raw 2025-03-02 02:32:15 +00:00
chenyu
cc2bbb0bf1
 		Tensor.isfinite (#9316) 2025-03-01 19:58:56 -05:00
geohotstan
d9ec05cea6
 		Test Onnx quantization behavior (#9301) 
* add DynamicDequantizeLinear and corresponding tests

* wow qlinearops are round away from zero

* this passes locally...

* again

* try

* try separate test

* round to even again

* also add QLinearMul

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-03-01 19:21:58 -05:00
chenyu
fe0f860209
 		update test_ops for tensors from torch (#9308) 
a few detach().numpy() -> detach().cpu().numpy()
 2025-02-28 15:57:25 -05:00
chenyu
38d7aae3b7
 		onnx fmod (#9307) 2025-02-28 14:09:22 -05:00
chenyu
7c7db78feb
 		support float mod (#9306) 
also added spec check on Ops.MOD to be ints only
 2025-02-28 13:33:58 -05:00
chenyu
90808e2dd0
 		div rounding_mode (#9304) 2025-02-28 11:38:25 -05:00
chenyu
3ae66e59a3
 		least_upper_float is at least default_float (#9303) 
* least_upper_float is at least default_float

en route for div rounding mode. dtype of true int division would change from int32 to default_float, which matches torch too.

* fix bert acc
 2025-02-28 10:41:56 -05:00
Eitan Turok
d657d5f754
 		[Bounty] Vectorize Transcendental (#9058) 
* init

* cast everythig right

* more casting

* install pillow in test

* quick tests

* simplify

* quick tests

* delete test

* tests

* fix import error

* add vec to ldexp3k

* vec for bitcast

* some helper tests

* high level tests

* clean tests

* change tolerance so cuda passes

* ruff passes

* remove tests for transcendental helpers

* ruff passes

* make exponent in power vectorized

* fix pow test

* add newline

* add vec dtype to ilogb2k

* comment + clean up

* ruff

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
 2025-02-28 15:47:25 +08:00
qazal
cdf66cc67f
 		test: recompute expanded CAST (#9286) 
* those views should merge

* diff cleanup

* gpu

* put it behind CAST_AFTER_EXPAND
 2025-02-27 19:22:17 +01:00
chenyu
4342300eff
 		lower test_gemm_8192 amd to 70 (#9277) 
flaky
 2025-02-26 16:32:08 -05:00
Francis Lata
86b737a120
 		leakyrelu to leaky_relu (#9270) 2025-02-26 13:22:08 -05:00
chenyu
cd822bbe11
 		hotfix torch_grad.detach().cpu().numpy() in test_ops (#9268) 2025-02-26 12:27:35 -05:00
chenyu
49ca90df75
 		update test_ops backward tests (#9267) 
instead of `(out+1).square().mean().backward()`, use forward.sum().gradient to get closer to the gradients
 2025-02-26 12:09:24 -05:00
chenyu
aaf0a8069f
 		xor -> bitwise_xor (#9264) 2025-02-26 10:21:14 -05:00
qazal
e162aa862d
 		is_realized only if buffer is allocated (#9253) 
* is_realized only if the buffer is allocated

* fix the image check too

* assert test_lil_model after ExecItems run
 2025-02-26 08:58:08 +01:00
George Hotz
3f4eb9006a
 		test for device mismatch [pr] (#9250) 
* test for device mismatch [pr]

* fix bert
 2025-02-26 13:06:33 +08:00
Sieds Lykles
9c4d9d9f10
 		Acc first (#9232) 
* put acc in front of the add chain

* handle the other case

* Make loop collapse more generic

* Remove mulacc_unrolled

* Actually remove it

---------

Co-authored-by: George Hotz <geohot@gmail.com>
Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-02-25 22:10:15 -05:00
nimlgen
70db8c3003
 		hcq: dyn alloc signals (#9238) 
* hcq: dyn alloc signals

* types and uniqueue devs

* typing

* mypy

* mypy one more time

* test

* make fds to not intersect in mockgpu between drivers
 2025-02-25 17:22:24 +03:00
nimlgen
b4c3780df0
 		hotfix: interop example (#9237) 
* hotfix: interop example

* rm this

* fix

* fix ci mps

* atol rtol

* no uaf
 2025-02-25 10:32:00 +03:00
Sieds Lykles
990c240b82
 		Stable pow gradient (#9226) 
* Stable gradient

* More efficient

* Fix and test for +-inf

* cleaner

* skip webgpu test

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-02-24 20:54:26 -05:00
qazal
cbfe95d306
 		bring cast before view back (#9230) 
* bring cast before view back

* tune it to only trigger on expands

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-02-25 01:50:39 +02:00
chenyu
90c3ed17c5
 		move cast to before softmax in attention (#9213) 
* move cast to before softmax in attention

saved some memory because exp (which is used for backward) are done in half. training bert seems fine and can fit BS=78 now (from 66)

* test
 2025-02-24 17:24:59 -05:00
geohotstan
f0b24d230c
 		add test_onnx_ops.py (#8569) 
* boom

* fix webgpu

* use exact variable names in test so that AI can read easier

* add tag for specific test name like test a specific dtype

* fix ruff

* astype everything

* dtype in array creation

* just arange

* is 67% considered fixed?

* move test up

* small cleanups

* share function

* add qgemm as well

* add qgemm too

* make sure qgemm comes out as int

* take out qgemm for now

* fixed test

* add correct qgemm

* addressing feedback here too, early naive fix for now

* simplify bias and c to be minimalistic enough to test correctness

* refactored qlinearops

* maybe these asserts aren't the best..

* fix test

* updated tests to cover new ops

* try to add to CI

* move test_onnx_ops into testextra/

* more attention tests

* qlinear_add atol=1

* attention still not fullllllly correct

* it is what it is

---------

Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-02-24 16:15:22 -05:00
George Hotz
c9493e41a6
 		reorder expand (#9051) 
* reorder expand

* symbolic ops needs resolve here

* s/arg/st + whitespace

* viz

---------

Co-authored-by: qazal <qazal.software@gmail.com>
 2025-02-24 13:55:47 +01:00
qazal
14aa2395d0
 		allow VIEW(BUFFER) in Tensor UOps [pr] (#9210) 
* allow VIEW(BUFFER) in Tensor UOps [pr]

* still reshapes

* update becomes_map tests

* bring copy folder to the scheduler

* lint

* only sgd left

* optimizer assign

* 13 kernels

* rename to test_reorder_expand + assert VIEW
 2025-02-24 13:06:15 +01:00
qazal
d12efc95d4
 		support custom name function in viz [pr] (#9219) 
* support custom name function in viz [pr]

* title case

* assert name count in test_track_rewrites_name_fxn
 2025-02-24 03:03:25 +02:00
chenyu
b3ae664d5d
 		fix gradient of pow(t, int) (#9217) 
semi revert some pow logic back to tensor. added direct gradient check because the backward in test_ops passed by luck
 2025-02-23 17:42:09 -05:00
qazal
9db0ec46a7
 		simpler buf_uop [pr] (#9215) 
* simpler buf_uop [pr]

* assert after realize it's buffer
 2025-02-23 19:23:14 +01:00
qazal
81a71ae0f6
 		hotfix: skip test_exclude_const_metadata (#9208) 2025-02-22 23:26:04 +02:00
qazal
4578c3e8fd
 		simpler tensor metadata mapping + tests [pr] (#9203) 
* simpler tensor metadata mapping + tests [pr]

* remove kernel metadata

* don't map nones
 2025-02-22 20:18:46 +01:00
George Hotz
4e6665bda5
 		different way to write torch backend (#9197) 
* different way to write torch backend

* both backends

* more work

* simpler code

* more work

* test both

* imply unwrap/wrap

* FORWARD_ONLY=1 TINY_BACKEND=1 python3 test/test_ops.py TestOps.test_add works

* ready to start making test_ops work in torch backend

* backward pass, TINY_BACKEND=1 python3 test/test_ops.py TestOps.test_add works

* FORWARD_ONLY=1 TINY_BACKEND=1 python3 test/test_ops.py TestOps.test_simple_conv2d works

* matmul backward is broken with as_strided
 2025-02-22 14:42:26 +08:00
qazal
2eab8021fb
 		remove inputs+outputs attributes from ScheduleItem [pr] (#9192) 
* remove inputs/outputs from ScheduleItem

* fix test_linearizer

* fix test_conv_shapetracker

* fix test_schedule + lint

* test_image_dtype + multitensor + search
 2025-02-21 13:48:11 +01:00
chenyu
2e7c2780a9
 		CLANG -> CPU (#9189) 2025-02-20 18:03:09 -05:00
chenyu
3e22747799
 		run unit test on windows ci (#9187) 
* factor out testing_minimal in setup.py [pr]

* testing_unit + windows
 2025-02-20 14:40:41 -05:00
chenyu
287de4ecc6
 		use torch in test_gradient (#9186) 
used torch.autograd.grad, but not sure if it can be a template like jax
 2025-02-20 12:26:11 -05:00
George Hotz
caee42e8a6
 		Revert "name from uops [pr] (#9151)" (#9154) 
This reverts commit 28897be9a2.
 2025-02-18 16:06:44 +08:00
George Hotz
28897be9a2
 		name from uops [pr] (#9151) 2025-02-18 15:52:03 +08:00
George Hotz
a4dab3ec3f
 		add name uop (#9149) 
* add name uop, TODO: refactor renderer to use

* renderer uses name uop

* fix tests

* render

* ptx
 2025-02-18 15:26:58 +08:00
George Hotz
df3b320f46
 		rewriter -> devectorizer [pr] (#9147) 2025-02-18 12:42:08 +08:00
chenyu
465421b525
 		fix Tensor.isclose (#9143) 
many corner cases around inf and nan
 2025-02-17 12:03:12 -05:00