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142 commits

Author SHA1 Message Date
George Hotz
25c2da1579
 		check SPEC=2 in CI (#12945) 
* check SPEC=2 in CI

* split SPEC=2

* fast enough
 2025-10-27 21:53:57 +08:00
chenyu
c5cee74706
 		remove BLOCK_REORDER (#12854) 
not used
 2025-10-21 19:10:14 -04:00
b1tg
60d7e232f2
 		cuda fp8 (#12782) 
* cuda fp8

* tensor core

* tc test

* clean

* clean pm
 2025-10-21 15:05:25 -04:00
chenyu
ae51bdd06a
 		remove trivial use of RANGEIFY flag (#12550) 
some tests need update still
 2025-10-09 02:29:38 -04:00
chenyu
0e266f376c
 		ops_gpu -> ops_cl (#12103) 2025-09-10 15:15:48 -04:00
nimlgen
fb96394ff5
 		auto-select available compilers (#12094) 
* device: auto select compilers

* fix

* metal+opencl

* nv/cuda

* test without ptx

* ptx

* fix tests

* fix

* fix test

* rename

* test + cleaner

* xx

* ops

* better test

* win?

* um?

* types

* debug

* win??

* sep rung

* wtf?

* debug

* skip win

* revert this

* types
 2025-09-10 19:52:01 +03:00
George Hotz
38dcadf07b
 		delete kernel.py (#12040) 
* delete kernel.py

* delete that file

* rip and tear

* don't test search

* imports

* fix torch frontend

* not a part of regen
 2025-09-05 15:52:07 -07:00
George Hotz
afad7d0cd1
 		remove dtype from range, it will be dtypes.index soon [pr] (#11914) 
* remove dtype from range, it will be dtypes.index soon [pr]

* a few more
 2025-08-29 09:52:07 -07:00
George Hotz
394c2d1db1
 		update Kernel API in tests + move optimize_local_size (#11907) 2025-08-28 15:12:47 -07:00
George Hotz
27701ef823
 		add locals support to rangeify (#11826) 2025-08-24 14:03:12 -07:00
qazal
793ace530e
 		update amd_uop_matmul.py import (#11581) 
Using this for testing SQTT
 2025-08-08 17:07:35 +03:00
George Hotz
82be8abfd2
 		move opt under codegen (#11569) 2025-08-07 14:19:17 -07:00
George Hotz
4f26a9ad32
 		check elements_per_thread in tensorcore [pr] (#11435) 2025-07-30 11:55:48 -07:00
George Hotz
1bef2d80c1
 		unrolls are all in the same scope (#11429) 
* unrolls are all in the same scope

* fix that import
 2025-07-29 16:55:37 -07:00
George Hotz
03909f2772
 		permute locals for HL uop matmul (#11412) 
* permute locals for HL uop matmul

* parens fix that

* permutes

* 20 TFLOPS
 2025-07-29 08:19:59 -07:00
George Hotz
735ad5f10d
 		kernel4 and 5 in uops (#11411) 
* move simplify views to merge views

* add amd kernel 4

* Revert "move simplify views to merge views"

This reverts commit 1e07dff384.

* k4 in python

* kernel4 written in uops

* k5 support

* cleanups
 2025-07-28 19:35:48 -07:00
George Hotz
fddc645668
 		HL=2 top matmul (#11406) 
* HL=2 top matmul

* top colored
 2025-07-28 12:32:38 -07:00
George Hotz
dfeee63d30
 		uop matmul work (#11388) 
* uop matmul work

* works with locals
 2025-07-26 21:23:55 -07:00
George Hotz
2c70eaf18c
 		fix load / barrier (#11386) 
* fix load / barrier

* cleanups

* fix CI
 2025-07-26 10:27:37 -07:00
George Hotz
466ab5a3f2
 		store/load not pass through index (#11381) 
* noop

* fix noop

* store cat is NOOP

* store dtype is void

* stores aren't passed through anymore

* meh, skip those for ptx

* correct ptx skip

* hl runs
 2025-07-25 21:01:47 -07:00
George Hotz
490a93902c
 		define reg doesn't have init anymore (#11365) 
* define reg doesn't have init anymore

* remove that

* no special logic for dr

* fix amd uop matmul
 2025-07-24 19:15:49 -07:00
George Hotz
0602b22086
 		kernel spec (#11359) 
* kernel spec

* ops.VIEW

* work
 2025-07-24 12:45:38 -07:00
George Hotz
b0dc97d1f7
 		write out kernel 3 in uops (#11352) 
* write out kernel 3 in uops

* matmul is correct

* gemm passes spec

* bugfix to match speed

* cleanups
 2025-07-23 17:32:38 -07:00
George Hotz
108aac8af4
 		use AddrSpace instead of local (#11314) 
* use AddrSpace instead of local

* addrspace in test
 2025-07-21 14:00:06 -07:00
George Hotz
842184a1ab
 		rename kernelize to schedule, try 2 (#11305) 2025-07-21 11:18:36 -07:00
chenyu
a0438012af
 		remove Kernel.get_program [pr] (#11203) 2025-07-12 20:50:29 -04:00
George Hotz
d67c8e7b42
 		local metal on metal in uop syntax (#11185) 
* local metal on metal in uop syntax

* TODO: just put the axis_info in the kernelinfo

* local

* amd_matmul works @ 28 TFLOPS

* clean up matmul

* kernel8 works

* remove that

* locals

* axistype innovation

* work

* cleanup

* kernel3 regs

* cleanup kernel3

* work

* why is it broken

* no beam

* reenable

* permutes
 2025-07-12 16:31:19 -07:00
chenyu
6283d50224
 		DEPRECATED_linearize -> to_program [pr] (#11198) 2025-07-12 13:46:20 -04:00
George Hotz
2893feb9f6
 		cleanups for kernel.py (#11143) 
* cleanups for kernel.py

* fixups
 2025-07-08 18:10:25 -07:00
George Hotz
856759c79c
 		add halide example (#10980) 
* add halide example

* upd halide gemm

* partial works

* touchups
 2025-06-26 16:14:57 -07:00
George Hotz
92678e59ee
 		move kernel to opt (#10899) 2025-06-20 15:22:28 -07:00
Sidharth N. Babu
ef14dfb277
 		compile fixes (#10442) 2025-06-06 18:38:37 -04:00
George Hotz
411392dfb7
 		move files into uop dir (#10399) 
* move files into uop dir [pr]

* tinygrad.uop is a thing

* fix uop docs, no pr

* fix viz
 2025-05-18 11:38:28 -07:00
chenyu
720f20865b
 		remove required_optimizations (#9848) 2025-04-19 16:51:16 -04:00
chenyu
f5256e0020
 		Kernel.apply_opts [pr] (#9917) 
* Kernel.apply_opts [pr]

updated all `for opt in`. also updated a few test_liinearizer tests to not implcitly depend on hand_coded_optimization

* not you yet
 2025-04-17 08:00:56 -04:00
chenyu
8c6299bced
 		move hand_coded_optimizations to heuristic.py [pr] (#9844) 
* move hand_coded_optimizations to heuristic.py [pr]

also folded all long lines

* make a copy and rename self -> k

* fix test
 2025-04-10 23:40:16 -04:00
chenyu
c5db5b83b9
 		add SHOULD_USE_TC=1 check to simple_matmul (#9802) 
* add SHOULD_USE_TC=1 check to simple_matmul

also zero centered the random input and update atol for tf32

* ATOL=2e-2 for HALF
 2025-04-09 02:24:42 -04:00
George Hotz
78caf55154 Revert "FP8 support on NVIDIA (#8631)" 
This reverts commit 2c8e4ea865.
 2025-04-09 12:27:41 +08:00
George Hotz
14928fecff Revert "fix TF32 tensor core dropped in tc_sm89 (#9798)" 
This reverts commit 7c9a96824f.
 2025-04-09 12:27:39 +08:00
chenyu
7c9a96824f
 		fix TF32 tensor core dropped in tc_sm89 (#9798) 
also add `SHOULD_USE_TC=1` to verify TC is applied in simple_matmul
 2025-04-08 23:20:50 -04:00
pkotzbach
2c8e4ea865
 		FP8 support on NVIDIA (#8631) 
* squashed fp8 commits

* tensorcore start

* minor changes

* pre-commit

* pylint

* Delete fp8mul.cu

* clean

* small bugfix

* fix test_dtype

* fix test_dtype_alu

* add EMULATE_CUDA_SM89

* fix ci

* fix test_linearizer

* fix test_linearizer

* fix swizzle

* add debug to simple_matmul

* fixed swizzle

* python emulator

* refactor python emulator

* setup fix

* numpy setup

* ml_dtypes only in emulate_cuda_sm89

* fix pylint

* fix tests

* fix mypy

* fix mypy

* fix ruff

* done python emulator

* add acc type

* tests

* mypy

* clean code

* add cuda tensor core tests to CI

* minor fix

* clean test_dtype.py

* clean cstyle.py

* clean test_ops.py

* fix test

* fix test

* whitespaces

* pylint

* pylint

* amd?

* amd?

* amd

* reduce lines

* mockgpu remove

* fix

* ruff

* ruff

* fix mypy

* ruff

* test only for cuda

* fixed formatting

* small fixes

* small fix

* least_upper_dtype if fp8s not supported

* log and reciprocal are supported for fp8s

* ops python fixes

* dtypes.fp8s use

* e4m3 + e5m2 result dtype test

* truncate linter fix

---------

Co-authored-by: pkotzbach <pawkotz@gmail.com>
Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
Co-authored-by: chenyu <chenyu@fastmail.com>
 2025-04-08 21:54:04 -04:00
Francis Lam
1e5d9ad8f7
 		extra/gemm/max_matmul: start of custom kernels for GEMM (#6926) 
* extra/gemm/max_matmul: start of custom kernels for GEMM

* add an unoptimized FP16/FP16 MMA example

* add slow 3-stage fp16 acc example

* add correct 3-stage pipeline with unswizzled/flat smem input (slow)

* add acc fp16 example with 3 stages and swizzle (no bank conflicts)

* add max version of NV fp16_fp16_fp16

* fix up comments and removed unused code in max variations

* add start of no_xor example

* fix to account for UOps to Ops
 2025-03-19 15:04:57 +08:00
chenyu
0e591baf43
 		redo simple_matmul change (#9450) 
numpy does not support bfloat16
 2025-03-14 17:53:52 -04:00
chenyu
b0f63d3c04
 		Revert "simple_matmul.py uses np to generate random (#9438)" (#9449) 
This reverts commit 14018050c1.
 2025-03-14 17:14:22 -04:00
Ignacio Sica
14018050c1
 		simple_matmul.py uses np to generate random (#9438) 
* np generates randoms

* hotfix: use generator for int dtype

* float32 as default dtype for float generator

* use np.float32 instead of stirng

* add dtype= to integers generator

* change import _to_np_dtype source
 2025-03-14 17:36:50 -03:00
chenyu
01e8b60911
 		acc_dtype -> dtype (#9402) 
matched numpy and torch
 2025-03-10 16:05:30 -04:00
George Hotz
a73d8717f3
 		fast amd gemm (#9318) 
* 50 TFLOP AMD gemm

* add lds tiling

* register tiling

* flip locals

* work

* comment

* remove those
 2025-03-03 12:01:14 +08:00
chenyu
2e7c2780a9
 		CLANG -> CPU (#9189) 2025-02-20 18:03:09 -05:00
George Hotz
a3c78d47b3
 		speed docs + upgrades [pr] (#8964) 
* add some docs about speed [pr]

* better torch gemm

* enable locals on llvm/clang

* disable locals for beam speed on LLVM/CLANG

* 0x20 alignment in llvm allows ymm use
 2025-02-08 17:28:52 +08:00
ignaciosica
b49a04145e
 		fix for int plus minor cleanup (#8650) 2025-01-17 22:30:39 -05:00