mirror of
https://github.com/tinygrad/tinygrad.git
synced 2026-04-29 03:00:14 -04:00
dc9e9e4363
* Create UnaryOps.RECIP and BinaryOps.IDIV and changing uses of BinaryOps.DIV * Delete unused import * Add cstyle renderer * Fix formatting text * Fix test error due to bad implementation of renderer * Add PTX support * Add RECIP to LLVMIR * Remove BinaryOps.DIV from symbolic test * Change some test and fix C floor division * Change references to DIV for the RECIP or IDIV * Add mimic idiv for symbolic test * Restore floor * Mimic idiv * cast to int * Fix some test and renderer * Remove DIV for render nodes * Resolve issue with div * Add TestRenderer * Fix test * fix error * Fix PAD test * Fix div implementation * Remove DIV * Add upcast to rshift, due to use of MUL and RECIP on DIV * Fix linter * Remove complete BinaryOps.DIV * Fix lint * Fix some test * Revert mul modification * Fix tests * Fix CLANG for uops * Revert IDIV function * Minor fix * modify pattern matching rule to support nan * Fix UNSAFE_PADS_OPS to add UnaryOps.RECIP * Remove const folding for IDIV and fix PTX * Complete remove IDIV from extra * Remove test_div from TestFloatUOps due to test on recip * Fix linearizer * fix * Fix test_22 * Fix llvm * Apply trunc function for llvmlit * use floor instead of trunc * Use correct type * Generate new fuzz db * Fix rshift, do not cast to float to support idiv * Return upcast=false to rshift * Add to unsafepad BinaryOps.IDIV * Remove RECIP override for CUDA * add atol / rtol for the test * Remove cast to int on IDIV * Regenerate sops * delete sops.gz * regenerate * regenerate * regenerate * Reduce margins * pass atol and rtol as parametersg for _test_metrics * regenerated dataset * Regenerate * Remove duplicated * Revert changes on extra * Remove changes extra and NOQA for test * Remove E501 * Remove and change line * Remove E501 * Fix atan2 * Revert import and E501 * Remove E501 * Add hrcp to halp ops * Remove 1 of hrcp * Remove last DIV and add type check on uops for IDIV * Fix new tests * Fix tests and custom function * Regenerate dataset * Regenerate dataset * Revert dataset * Change generate dataset script * Remove line * Change IDIV, type checker validate if x,y and z are int --------- Co-authored-by: George Hotz <72895+geohot@users.noreply.github.com>
327 lines
17 KiB
Python
327 lines
17 KiB
Python
from typing import Optional, Tuple, Any, List
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import unittest, math
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import numpy as np
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from tinygrad.tensor import Tensor
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from tinygrad.helpers import CI, DEBUG, getenv
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from tinygrad.dtype import dtypes, DType, PtrDType
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from tinygrad.device import Buffer, Device
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from tinygrad.ops import UnaryOps, BinaryOps, TernaryOps, exec_alu
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from tinygrad.renderer import Program
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from tinygrad.engine.schedule import create_schedule
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from tinygrad.engine.realize import CompiledRunner, lower_schedule_item
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from tinygrad.codegen.linearizer import UOps, UOp
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from tinygrad.codegen.uops import UOpGraph
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from test.helpers import is_dtype_supported
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def _uops_to_prg(uops_list, print=False):
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uops = UOpGraph()
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for l in uops_list: uops.add(l.uop, l.dtype, l.vin, l.arg)
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src = Device[Device.DEFAULT].renderer.render("test", uops)
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if print: uops.print()
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has_local = Device[Device.DEFAULT].renderer.has_local
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return CompiledRunner(Program("test", src, Device.DEFAULT, [1,1,1] if has_local else None, [1,1,1] if has_local else None, uops=uops))
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def uop(uops:List[UOp], uop:UOps, dtype:Optional[DType], vin:Tuple[UOp, ...], arg:Any=None) -> UOp:
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uops.append(UOp(uop, dtype, tuple(vin), arg))
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return uops[-1]
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def _test_single_value(vals, op, dts):
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uops = []
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output_dtype = dts[-1] if op is TernaryOps.WHERE else dtypes.bool if op is BinaryOps.CMPLT else dts[0]
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buf_store = uop(uops, UOps.DEFINE_GLOBAL, PtrDType(output_dtype), (), (0, True))
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buf_loads = [uop(uops, UOps.DEFINE_GLOBAL, PtrDType(dtype), (), (i+1, False)) for i,dtype in enumerate(dts)]
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loads = (uop(uops, UOps.LOAD, dtype, [buf_loads[i], uop(uops, UOps.CONST, dtypes.int32, (), 0)]) for i,dtype in enumerate(dts))
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alu = uop(uops, UOps.ALU, output_dtype, loads, op)
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uop(uops, UOps.STORE, None, (buf_store, uop(uops, UOps.CONST, dtypes.int32, (), 0), alu))
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buf = Buffer(Device.DEFAULT, 1, output_dtype).allocate()
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buf2 = [Buffer(Device.DEFAULT, 1, dtype).allocate().copyin(np.array([a], dtype=dtype.np).data) for a,dtype in zip(vals, dts)]
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prg = _uops_to_prg(uops)
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prg.exec([buf]+buf2)
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ret = np.empty(1, output_dtype.np)
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buf.copyout(ret.data)
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return ret[0]
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def _test_single_value_const(vals, op, dts):
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uops = []
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output_dtype = dts[-1] if op is TernaryOps.WHERE else dtypes.bool if op is BinaryOps.CMPLT else dts[0]
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buf_store = uop(uops, UOps.DEFINE_GLOBAL, PtrDType(output_dtype), (), (0, True))
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loads = (uop(uops, UOps.CONST, dtype, [], a) for a,dtype in zip(vals, dts))
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alu = uop(uops, UOps.ALU, output_dtype, loads, op)
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uop(uops, UOps.STORE, None, (buf_store, uop(uops, UOps.CONST, dtypes.int32, (), 0), alu))
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buf = Buffer(Device.DEFAULT, 1, output_dtype).allocate()
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prg = _uops_to_prg(uops)
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prg.exec([buf])
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ret = np.empty(1, output_dtype.np)
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buf.copyout(ret.data)
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return ret[0]
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def _test_uops_result(output_dtype, uops, res):
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# uops = []
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buf_store = uop(uops, UOps.DEFINE_GLOBAL, PtrDType(output_dtype), (), (0, True))
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# res = output_fn(uops)
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uop(uops, UOps.STORE, None, (buf_store, uop(uops, UOps.CONST, dtypes.int32, (), 0), res))
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buf = Buffer(Device.DEFAULT, 1, output_dtype).allocate()
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prg = _uops_to_prg(uops, print=True)
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prg.exec([buf])
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ret = np.empty(1, output_dtype.np)
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buf.copyout(ret.data)
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return ret[0]
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class TestUOps(unittest.TestCase):
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def _equal(self, v1, v2):
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assert isinstance(v2, (float, int, bool))
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if isinstance(v2, float):
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np.testing.assert_allclose(v1, v2, rtol=2e-7)
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else:
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np.testing.assert_equal(v1, v2)
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def _test_uop_fxn(self, op, fxn, dts=(dtypes.float32, )):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [-2.0, 0.0, 1.0]:
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a = dtypes.as_const(a, dts[0])
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self._equal(f([a], op, dts), fxn(a))
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def _test_bop_fxn(self, op, fxn, dts=(dtypes.float32, )*2, no_b_zero=False, no_b_neg=False):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [-2.0, 0.0, 1.0]:
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for b in [-3.0, 1.0] + ([] if no_b_zero else [0.0]):
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a = dtypes.as_const(a, dts[0])
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b = dtypes.as_const(abs(b) if no_b_neg else b, dts[1])
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self._equal(f([a,b], op, dts), fxn(a,b))
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def _test_top_fxn(self, op, fxn, dts=(dtypes.float32, )*3):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [-2.0, 0, 1]:
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for b in [-3.0, 3.0]:
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for c in [-4.0, 4.0]:
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a = dtypes.as_const(a, dts[0])
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b = dtypes.as_const(b, dts[1])
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c = dtypes.as_const(c, dts[2])
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self._equal(f([a,b,c], op, dts), fxn(a,b,c))
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class TestFloatUOps(TestUOps):
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def test_neg(self): self._test_uop_fxn(UnaryOps.NEG, lambda a: -a)
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def test_exp2(self): self._test_uop_fxn(UnaryOps.EXP2, lambda a: np.exp2(a))
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def test_log2(self): self._test_uop_fxn(UnaryOps.LOG2, lambda a: math.log2(a) if a > 0 else float('-inf' if a==0 else 'nan'))
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def test_sin(self): self._test_uop_fxn(UnaryOps.SIN, lambda a: math.sin(a))
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def test_recip(self): self._test_uop_fxn(UnaryOps.RECIP, lambda a: 1/a if a != 0 else float('inf'))
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def test_sqrt(self): self._test_uop_fxn(UnaryOps.SQRT, lambda a: math.sqrt(a) if a >= 0 else float('nan'))
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def test_add(self): self._test_bop_fxn(BinaryOps.ADD, lambda a,b: a+b)
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def test_sub(self): self._test_bop_fxn(BinaryOps.SUB, lambda a,b: a-b)
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def test_mul(self): self._test_bop_fxn(BinaryOps.MUL, lambda a,b: a*b)
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def test_max(self): self._test_bop_fxn(BinaryOps.MAX, lambda a,b: max(a,b))
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def test_cmplt(self): self._test_bop_fxn(BinaryOps.CMPLT, lambda a,b: a<b)
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# MOD isn't tested on floats
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def test_where(self):
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self._test_top_fxn(TernaryOps.WHERE, lambda a,b,c: b if a!=0 else c, (dtypes.bool, dtypes.float, dtypes.float))
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class TestNonFloatUOps(TestUOps):
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def test_neg_int32(self): self._test_uop_fxn(UnaryOps.NEG, lambda a: -a, (dtypes.int32, ))
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def test_add_int32(self): self._test_bop_fxn(BinaryOps.ADD, lambda a,b: int(a)+int(b), (dtypes.int32, dtypes.int32))
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def test_sub_int32(self): self._test_bop_fxn(BinaryOps.SUB, lambda a,b: int(a)-int(b), (dtypes.int32, dtypes.int32))
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def test_mul_int32(self): self._test_bop_fxn(BinaryOps.MUL, lambda a,b: int(a)*int(b), (dtypes.int32, dtypes.int32))
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@unittest.skipUnless(getenv("PTX"), "only ptx uses bitshifts")
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def test_shr_int32(self): self._test_bop_fxn(BinaryOps.SHR, lambda a,b: int(a)>>int(b), (dtypes.int32, dtypes.int32), no_b_neg=True)
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@unittest.skipUnless(getenv("PTX"), "only ptx uses bitshifts")
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def test_shl_int32(self): self._test_bop_fxn(BinaryOps.SHL, lambda a,b: int(a)<<int(b), (dtypes.int32, dtypes.int32), no_b_neg=True)
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def test_div_int32(self):
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self._test_bop_fxn(BinaryOps.IDIV, lambda a,b: int(a/b), (dtypes.int32, dtypes.int32), no_b_zero=True)
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def test_mod_int32(self):
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self._test_bop_fxn(BinaryOps.MOD,
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lambda a,b: abs(int(a))%abs(int(b))*(1,-1)[a<0], (dtypes.int32, dtypes.int32), no_b_zero=True)
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def test_cmplt_int32(self): self._test_bop_fxn(BinaryOps.CMPLT, lambda a,b: float(a<b), (dtypes.int32, dtypes.int32))
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@unittest.skipUnless(is_dtype_supported(dtypes.bool), "dtype not supported")
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def test_mul_bool(self): self._test_bop_fxn(BinaryOps.MUL, lambda a,b: bool(a) and bool(b), (dtypes.bool, dtypes.bool))
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@unittest.skipUnless(is_dtype_supported(dtypes.float16), "dtype not supported")
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def test_where_float16(self):
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self._test_top_fxn(TernaryOps.WHERE, lambda a,b,c: b if a!=0 else c, (dtypes.bool, dtypes.float16, dtypes.float16))
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class TestBoolUOps(TestUOps):
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def _test_uop_bool_fxn(self, op, fxn):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [False, True]:
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self._equal(f([a], op, (dtypes.bool, )*1), fxn(a))
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def _test_bop_bool_fxn(self, op, fxn):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [False, True]:
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for b in [False, True]:
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self._equal(f([a,b], op, (dtypes.bool, )*2), fxn(a,b))
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def _test_top_bool_fxn(self, op, fxn):
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for f in [_test_single_value, _test_single_value_const]:
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for a in [False, True]:
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for b in [False, True]:
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for c in [False, True]:
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self._equal(f([a,b,c], op, (dtypes.bool, )*3), fxn(a,b,c))
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def test_not_bool(self): self._test_uop_bool_fxn(UnaryOps.NEG, lambda a: not a)
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def test_add_bool(self): self._test_bop_bool_fxn(BinaryOps.ADD, lambda a,b: a or b)
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def test_mul_bool(self): self._test_bop_bool_fxn(BinaryOps.MUL, lambda a,b: a and b)
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def test_xor_bool(self): self._test_bop_bool_fxn(BinaryOps.XOR, lambda a,b: a != b)
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def test_cmpne_bool(self): self._test_bop_bool_fxn(BinaryOps.CMPNE, lambda a,b: a != b)
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def test_cmplt_bool(self): self._test_bop_bool_fxn(BinaryOps.CMPLT, lambda a,b: a < b)
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def test_where_bool(self): self._test_top_bool_fxn(TernaryOps.WHERE, lambda a,b,c: b if a else c)
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class TestExecALU(TestUOps):
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def test_sqrt(self):
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self.assertEqual(exec_alu(UnaryOps.SQRT, dtypes.float, (0.0,)), 0.0)
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def test_div(self):
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self.assertEqual(exec_alu(BinaryOps.IDIV, dtypes.int8, (8, 2)), 4)
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self.assertEqual(exec_alu(BinaryOps.IDIV, dtypes.int8, (7, 3)), 2)
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self.assertEqual(exec_alu(BinaryOps.IDIV, dtypes.int8, (7, -3)), -2)
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self.assertEqual(exec_alu(BinaryOps.IDIV, dtypes.int8, (-50, 6)), -8)
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np.testing.assert_allclose(exec_alu(BinaryOps.MUL, dtypes.float32, (7.0, exec_alu(UnaryOps.RECIP, dtypes.float32, (3.0,)))), 2+(1.0/3.0))
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np.testing.assert_allclose(exec_alu(BinaryOps.MUL, dtypes.float32, (7.0, exec_alu(UnaryOps.RECIP, dtypes.float32, (-3.0,)))), -2-(1.0/3.0))
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def test_recip(self):
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, (8,)), 1/8)
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, (7,)), 1/7)
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, (-3,)), 1/-3)
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, (-50,)), 1/-50)
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, ((32+521+3),)), 1/(32+521+3))
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, ((34**2),)), 1/(34**2))
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np.testing.assert_allclose(exec_alu(UnaryOps.RECIP, dtypes.float32, (10,)), 1/10)
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def test_bool_neg(self):
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self.assertEqual(exec_alu(UnaryOps.NEG, dtypes.bool, (False,)), True)
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self.assertEqual(exec_alu(UnaryOps.NEG, dtypes.bool, (True,)), False)
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def test_bool_cmplt(self):
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self.assertEqual(exec_alu(BinaryOps.CMPLT, dtypes.bool, (False, False)), False)
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self.assertEqual(exec_alu(BinaryOps.CMPLT, dtypes.bool, (False, True)), True)
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self.assertEqual(exec_alu(BinaryOps.CMPLT, dtypes.bool, (True, False)), False)
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self.assertEqual(exec_alu(BinaryOps.CMPLT, dtypes.bool, (True, True)), False)
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def test_bool_where(self):
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self.assertEqual(exec_alu(TernaryOps.WHERE, dtypes.bool, (False, False, False)), False)
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self.assertEqual(exec_alu(TernaryOps.WHERE, dtypes.int, (False, 2, 4)), 4)
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np.testing.assert_allclose(exec_alu(TernaryOps.WHERE, dtypes.float, (False, 2.2, 4.5)), 4.5)
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def test_overflow(self):
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.uint8, (250, 250)), 244)
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.uint8, (256, 0)), 0)
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self.assertEqual(exec_alu(BinaryOps.SUB, dtypes.uint8, (0, 1)), 255)
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self.assertEqual(exec_alu(BinaryOps.SUB, dtypes.uint8, (0, 1000)), 24)
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.int8, (127, 0)), 127)
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.int8, (-128, 0)), -128)
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self.assertEqual(exec_alu(BinaryOps.SUB, dtypes.int8, (-100, 100)), 56)
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self.assertEqual(exec_alu(BinaryOps.SUB, dtypes.int8, (-1000, 0)), 24)
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self.assertEqual(exec_alu(BinaryOps.SUB, dtypes.int8, (-130, 0)), 126)
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.int8, (1, 1)), 2)
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self.assertEqual(exec_alu(BinaryOps.ADD, dtypes.int8, (-128, 0)), -128)
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class TestConstantFolding(unittest.TestCase):
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def test_cast_const(self):
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t = Tensor(1, dtype=dtypes.float).cast(dtypes.int)
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si = create_schedule([t.lazydata])
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assert len(si) == 0
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def test_bitcast_const(self):
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t = Tensor(1, dtype=dtypes.float).bitcast(dtypes.int)
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si = create_schedule([t.lazydata])
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assert len(si) == 1
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ji = lower_schedule_item(si[-1])
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assert any(uop.uop is UOps.BITCAST for uop in ji.prg.p.uops), f"{[uop.uop for uop in ji.prg.p.uops]} does not contain bitcast"
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class TestGatedStoreRewrite(unittest.TestCase):
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@unittest.skip("not yet implemented")
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def test_wrap_store_parents(self):
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# wraps all store parents in the valid branch
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uops = UOpGraph()
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gmem = uops.add(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), (), (0, True))
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gidx0 = uops.add(UOps.SPECIAL, dtypes.int, (), (0, 'gidx0', 4))
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idx = gidx0 * UOp.const(dtypes.int, 2)
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value = uops.add(UOps.CONST, dtypes.float, (), 42.0)
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gate = uops.add(UOps.ALU, dtypes.bool, (gidx0, UOp.const(dtypes.int, 1)), arg=BinaryOps.CMPLT)
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uops.add(UOps.STORE, None, (gmem, idx, value, gate))
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if DEBUG >= 4: print(Device[Device.DEFAULT].renderer.render("test", uops))
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if_uop = next(u for u in uops if u.uop is UOps.IF)
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endif = next(u for u in uops if u.uop is UOps.ENDIF)
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assert endif.vin[0] is if_uop
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nested_uops = tuple(uops.uops[uops.uops.index(if_uop)+1:uops.uops.index(endif)])
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assert nested_uops == (gmem, gidx0, idx, value)
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@unittest.skip("not yet implemented")
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def test_wrap_some_parents(self):
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# some parents are used outside the branch
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uops = UOpGraph()
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gmem0 = uops.add(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), (), (0, True))
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gmem1 = uops.add(UOps.DEFINE_GLOBAL, PtrDType(dtypes.float), (), (1, True))
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gidx0 = uops.add(UOps.SPECIAL, dtypes.int, (), (0, 'gidx0', 4))
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idx = gidx0 * UOp.const(dtypes.int, 2)
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value0 = uops.add(UOps.CONST, dtypes.float, (), 42.0)
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value1 = uops.add(UOps.CONST, dtypes.float, (), 43.0)
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gate = uops.add(UOps.ALU, dtypes.bool, (gidx0, UOp.const(dtypes.int, 1)), arg=BinaryOps.CMPLT)
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uops.add(UOps.STORE, None, (gmem0, idx, value0, gate))
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uops.add(UOps.STORE, None, (gmem1, idx, value1))
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if DEBUG >= 4: print(Device[Device.DEFAULT].renderer.render("test", uops))
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if_uop = next(u for u in uops if u.uop is UOps.IF)
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endif = next(u for u in uops if u.uop is UOps.ENDIF)
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|
assert endif.vin[0] is if_uop
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nested_uops = tuple(uops.uops[uops.uops.index(if_uop)+1:uops.uops.index(endif)])
|
|
assert nested_uops == (gmem0, value0)
|
|
|
|
class TestLocalAccess(unittest.TestCase):
|
|
# NOTE: this is failing on METAL CI, no idea why. Works locally.
|
|
@unittest.skipIf(Device.DEFAULT == "METAL" and CI, "failing only in CI")
|
|
@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_shared, "test requires shared memory")
|
|
def test_local_basic(self):
|
|
uops = []
|
|
smem = uop(uops, UOps.DEFINE_LOCAL, PtrDType(dtypes.float32), (), ('smem', 16))
|
|
st = uop(uops, UOps.STORE, None, (smem, uop(uops, UOps.CONST, dtypes.int32, (), 0), uop(uops, UOps.CONST, dtypes.float32, (), 42.0)))
|
|
barr = uop(uops, UOps.BARRIER, None, (st,))
|
|
sres = uop(uops, UOps.LOAD, dtypes.float32, (smem, uop(uops, UOps.CONST, dtypes.int32, (), 0), barr))
|
|
self.assertEqual(_test_uops_result(dtypes.float32, uops, sres), 42)
|
|
|
|
@unittest.skipUnless(Device[Device.DEFAULT].renderer.has_shared, "test requires shared memory")
|
|
def test_local_indirect(self):
|
|
uops = []
|
|
smem = uop(uops, UOps.DEFINE_LOCAL, PtrDType(dtypes.int32), (), ('smem', 16))
|
|
st1 = uop(uops, UOps.STORE, None, (smem, uop(uops, UOps.CONST, dtypes.int32, (), 1), uop(uops, UOps.CONST, dtypes.int32, (), 2)))
|
|
st2 = uop(uops, UOps.STORE, None, (smem, uop(uops, UOps.CONST, dtypes.int32, (), 2), uop(uops, UOps.CONST, dtypes.int32, (), 42)))
|
|
barr = uop(uops, UOps.BARRIER, None, (st1,st2))
|
|
ofs = uop(uops, UOps.LOAD, dtypes.int32, (smem, uop(uops, UOps.CONST, dtypes.int32, (), 1), barr))
|
|
sres = uop(uops, UOps.LOAD, dtypes.int32, (smem, ofs))
|
|
self.assertEqual(_test_uops_result(dtypes.int32, uops, sres), 42)
|
|
|
|
@unittest.skipUnless(Device.DEFAULT in {"CUDA"} and getenv("PTX"), "This only tests assembly backends")
|
|
class TestAssembly(unittest.TestCase):
|
|
def test_bitshift_left(self):
|
|
uops = UOpGraph()
|
|
g1 = uops.add(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int32), (), (0, True))
|
|
c1 = uops.add(UOps.CONST, dtypes.int, (), 2)
|
|
c2 = uops.add(UOps.CONST, dtypes.int, (), 3)
|
|
l1 = uops.add(UOps.LOAD, dtypes.int, (g1, c1))
|
|
a1 = uops.add(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.MUL)
|
|
a2 = uops.add(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.MUL)
|
|
uops.add(UOps.SINK, None, (a1,a2))
|
|
Device[Device.DEFAULT].renderer.render("test", uops)
|
|
self.assertEqual(uops.uops[-1].arg, BinaryOps.MUL)
|
|
self.assertEqual(uops.uops[-2].arg, BinaryOps.SHL)
|
|
|
|
def test_bitshift_right(self):
|
|
uops = UOpGraph()
|
|
g1 = uops.add(UOps.DEFINE_GLOBAL, PtrDType(dtypes.int32), (), (0, True))
|
|
c1 = uops.add(UOps.CONST, dtypes.int, (), 2)
|
|
c2 = uops.add(UOps.CONST, dtypes.int, (), 3)
|
|
l1 = uops.add(UOps.LOAD, dtypes.int, (g1, c1))
|
|
a1 = uops.add(UOps.ALU, dtypes.int, (l1, c1), BinaryOps.IDIV)
|
|
a2 = uops.add(UOps.ALU, dtypes.int, (l1, c2), BinaryOps.IDIV)
|
|
uops.add(UOps.SINK, None, (a1,a2))
|
|
Device[Device.DEFAULT].renderer.render("test", uops)
|
|
self.assertEqual(uops.uops[-1].arg, BinaryOps.IDIV)
|
|
self.assertEqual(uops.uops[-2].arg, BinaryOps.SHR)
|
|
|
|
if __name__ == '__main__':
|
|
unittest.main(verbosity=2)
|