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openpilot v0.9.9 release (#35334)

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* openpilot v0.9.9 release

date: 2025-06-05T19:54:08
master commit: 8aadf02b2fd91f4e1285e18c2c7feb32d93b66f5

* AGNOS 12.4 (#35558)

agnos12.4

---------

Co-authored-by: Vehicle Researcher <user@comma.ai>
Co-authored-by: Maxime Desroches <desroches.maxime@gmail.com>
This commit is contained in:
Adeeb Shihadeh
2025-06-17 16:32:08 -07:00
committed by GitHub
parent dd778596b7
commit 100f89a161
1240 changed files with 310104 additions and 30549 deletions
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tinygrad_repo/test/test_tensor_variable.py
+30 -24
View File
@@ -1,6 +1,7 @@
import unittest
import numpy as np
from tinygrad import Tensor, Variable
from tinygrad.helpers import Context
class TestTensorVariable(unittest.TestCase):
def test_add_tvar(self):
@@ -22,38 +23,43 @@ class TestTensorVariable(unittest.TestCase):
assert (Tensor(3) * (vv * 4)).item() == 24
def test_symbolic_mean(self):
vv = Variable("a", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(2, vv)
ret = t.mean().item()
assert ret == 1
with Context(IGNORE_OOB=1):
vv = Variable("a", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(2, vv)
ret = t.mean().item()
assert ret == 1
def test_symbolic_mean_2d(self):
vv = Variable("a", 1, 10).bind(2)
vv2 = Variable("b", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(vv2, vv)
ret = t.mean().item()
assert ret == 1
with Context(IGNORE_OOB=1):
vv = Variable("a", 1, 10).bind(2)
vv2 = Variable("b", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(vv2, vv)
ret = t.mean().item()
assert ret == 1
def test_symbolic_mean_2d_axis_1(self):
vv = Variable("a", 1, 10).bind(2)
vv2 = Variable("b", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(vv2, vv)
ret = t.mean(axis=1).reshape(2, 1).numpy()
assert np.all(ret == 1)
with Context(IGNORE_OOB=1):
vv = Variable("a", 1, 10).bind(2)
vv2 = Variable("b", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(vv2, vv)
ret = t.mean(axis=1).reshape(2, 1).numpy()
assert np.all(ret == 1)
def test_symbolic_mean_2d_add(self):
add_term = Variable("c", 0, 10).bind(1)
vv = Variable("a", 1, 10).bind(1)
vv2 = Variable("b", 1, 10).bind(1)
t = Tensor.ones(2, 2).contiguous().reshape(vv2+add_term, vv+add_term)
ret = t.mean().item()
assert ret == 1
with Context(IGNORE_OOB=1):
add_term = Variable("c", 0, 10).bind(1)
vv = Variable("a", 1, 10).bind(1)
vv2 = Variable("b", 1, 10).bind(1)
t = Tensor.ones(2, 2).contiguous().reshape(vv2+add_term, vv+add_term)
ret = t.mean().item()
assert ret == 1
def test_symbolic_var(self):
vv = Variable("a", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(2, vv)
ret = t.var().item()
assert ret == 0
with Context(IGNORE_OOB=1):
vv = Variable("a", 1, 10).bind(2)
t = Tensor.ones(2, 2).contiguous().reshape(2, vv)
ret = t.var().item()
assert ret == 0
def test_symbolic_pad(self):
vv = Variable("a", 1, 10).bind(2)