carrot 9c7833faf9
KerryGold Model, AGNOS12.4, AdjustLaneChange, EnglighSound (#182)
* Vegetarian Filet o Fish model

* fix.. atc..

* test cluster_speed_limit

* fix.. cluster_speed_limit.. 2

* fix.. clusterspeedlimit3

* cruise speed to roadlimit speed

* fix..

* fix.. eng

* deltaUp/Down for lanechange

* fix.. atc desire...

* fix..

* ff

* ff

* fix..

* fix.. eng

* fix engsound

* Update desire_helper.py

* fix.. connect...

* fix curve_min speed

* Revert "fix curve_min speed"

This reverts commit fcc9c2eb14eb3504abef3e420db93e8882e56f37.

* Reapply "fix curve_min speed"

This reverts commit 2d2bba476c58a7b4e13bac3c3ad0e4694c95515d.

* fix.. auto speed up.. roadlimit

* fix.. atc auto lanechange...

* Update desire_helper.py

* Update cruise.py

* debug atc...

* fix.. waze alert offset..

* fix..

* test atc..

* fix..

* fix.. atc

* atc test..

* fix.. atc

* fix.. atc2

* fix.. atc3

* KerryGold Model.  latsmooth_sec = 0.0

* lat smooth seconds 0.13

* fix comment

* fix.. auto cruise, and speed unit

* change lanemode switching.

* erase mazda lkas button.
2025-06-22 10:51:42 +09:00

114 lines
3.6 KiB
Python

#!/usr/bin/env python
import gc, inspect
import unittest
import numpy as np
from tinygrad.device import Buffer
from tinygrad.engine.realize import run_schedule
from tinygrad.uop.ops import UOp
from tinygrad.tensor import Tensor
def tensors_allocated():
gc.collect()
return sum([isinstance(x, Tensor) for x in gc.get_objects()])
def bufs_allocated():
gc.collect()
return sum([isinstance(x, Buffer) for x in gc.get_objects()])
class TestGC(unittest.TestCase):
def test_gc(self):
Tensor.manual_seed(0)
base = tensors_allocated()
a = Tensor.rand(4, 4, requires_grad=True)
b = Tensor.zeros(4, 4, requires_grad=True)
(a*b).mean().backward()
assert (tensors_allocated()-base > 0)
del a,b
assert (tensors_allocated()-base == 2) # one for Tensor._device_rng_counters, and one for Tensor._device_seeds
Tensor.manual_seed(0)
def test_gc_complex(self):
Tensor.manual_seed(0)
base = tensors_allocated()
a = Tensor(np.zeros((4, 4), dtype=np.float32), requires_grad=True)
b = Tensor.rand(4, 4, requires_grad=True)
assert (tensors_allocated()-base == 4)
(a*b).mean().backward()
assert (tensors_allocated()-base == 6)
del b
assert (tensors_allocated()-base == 4)
b = Tensor(np.zeros((4, 4), dtype=np.float32), requires_grad=True)
print(tensors_allocated())
(a*b).mean().backward()
print(tensors_allocated())
assert (tensors_allocated()-base == 6)
del b
assert (tensors_allocated()-base == 4)
Tensor.manual_seed(0)
def test_schedule_gc(self):
init = bufs_allocated()
x = Tensor.ones(256).contiguous().realize()
y = Tensor.ones(5, 5).contiguous()
y.schedule()
del x
del y
self.assertEqual(bufs_allocated()-init, 0)
def test_schedule_gc_with_inputs(self):
init = bufs_allocated()
x = Tensor.ones(256).contiguous().realize()
y = x+Tensor.ones(256).contiguous()
ys = y.schedule()
del x
run_schedule(ys)
np.testing.assert_equal(y.numpy(), np.full((256,), 2))
self.assertEqual(bufs_allocated()-init, 1)
del y
self.assertEqual(bufs_allocated()-init, 0)
def test_toposort_blocks_gc(self):
init = bufs_allocated()
x = Tensor.ones(4,4).contiguous().realize()+1
self.assertEqual(bufs_allocated()-init, 1)
# try commenting this part out, it's green!
x.uop.toposort()
del x
if bufs_allocated()-init != 0:
print(inspect.getclosurevars(UOp.toposort().fget))
raise AssertionError(f"never gced {[x for x in gc.get_objects() if isinstance(x, Buffer)]}")
def test_buffer_refcount(self):
init = bufs_allocated()
a = Tensor.empty(10)
self.assertEqual(bufs_allocated()-init, 0)
a.realize()
real_buf = a.uop.buffer
# after the Tensor UOp is deleted there shouldn't be any references on the Buffer
self.assertEqual(real_buf.lb_refcount, 1)
self.assertEqual(bufs_allocated()-init, 1)
del a.uop
self.assertEqual(real_buf.lb_refcount, 0)
self.assertEqual(bufs_allocated()-init, 1) # keep the buffer alive
del real_buf
self.assertEqual(bufs_allocated()-init, 0)
def test_assign_refcount(self):
init = bufs_allocated()
a = Tensor.full((4,), 1.).contiguous()
a.realize()
real_buf = a.uop.buffer
self.assertEqual(real_buf.lb_refcount, 1)
a.assign(Tensor.full((4,), 2.))
self.assertIs(a.uop.src[0].buffer, real_buf)
# NOTE: this is still 1, we don't count the ASSIGN
self.assertEqual(real_buf.lb_refcount, 1)
a.realize()
del a
self.assertEqual(real_buf.lb_refcount, 0) # no UOps for this Buffer
self.assertEqual(bufs_allocated()-init, 1) # Buffer is alive
if __name__ == '__main__':
unittest.main()