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MAINT: bump JAX to 0.7.2 #578

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Merged
lucascolley merged 2 commits into from
Jan 3, 2026
Merged

MAINT: bump JAX to 0.7.2 #578

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cf4d7d9
MAINT: bump JAX to 0.7.2
lucascolley Jan 3, 2026
cfcf7d6
TST: fix two CUDA test failures
lucascolley Jan 3, 2026
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2 changes: 1 addition & 1 deletion pixi.lock
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22 changes: 7 additions & 15 deletions pyproject.toml
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Original file line number Diff line number Diff line change
Expand Up @@ -153,15 +153,13 @@ dask-core = ">=2025.12.0" # No distributed, tornado, etc.
sparse = ">=0.17.0"

[tool.pixi.feature.backends.target.linux-64.dependencies]
# On CPU use >=0.7.0
# On GPU, use 0.6.0 (0.6.2 and 0.7.0 both segfault); see jaxlib pin below.
jax = ">=0.6.0"
jax = ">=0.7.2"

[tool.pixi.feature.backends.target.osx-64.dependencies]
jax = ">=0.6.0"
jax = ">=0.7.2"

[tool.pixi.feature.backends.target.osx-arm64.dependencies]
jax = ">=0.6.0"
jax = ">=0.7.2"

[tool.pixi.feature.backends.target.win-64.dependencies]
# jax = "*" # unavailable
Expand All @@ -175,23 +173,17 @@ jax = ">=0.6.0"
[tool.pixi.feature.cuda-backends]
system-requirements = { cuda = "12" }

[tool.pixi.feature.cuda-backends.target.linux-64.dependencies]
[tool.pixi.feature.cuda-backends.target.linux.dependencies]
cupy = ">=13.6.0"
# JAX 0.6.2 and 0.7.0 segfault on CUDA
jaxlib = { version = ">=0.6.0,!=0.6.2,!=0.7.0", build = "cuda12*" }
jaxlib = { version = ">=0.7.2", build = "cuda12*" }
pytorch = { version = ">=2.9.1", build = "cuda12*" }

[tool.pixi.feature.cuda-backends.target.osx-64.dependencies]
[tool.pixi.feature.cuda-backends.target.osx.dependencies]
# cupy = "*" # unavailable
# jaxlib = { version = "*", build = "cuda12*" } # unavailable
# pytorch = { version = "*", build = "cuda12*" } # unavailable

[tool.pixi.feature.cuda-backends.target.osx-arm64.dependencies]
# cupy = "*" # unavailable
# jaxlib = { version = "*", build = "cuda12*" } # unavailable
# pytorch = { version = "*", build = "cuda12*" } # unavailable

[tool.pixi.feature.cuda-backends.target.win-64.dependencies]
[tool.pixi.feature.cuda-backends.target.win.dependencies]
cupy = ">=13.6.0"
# jaxlib = { version = "*", build = "cuda12*" } # unavailable
pytorch = { version = ">=2.9.1", build = "cuda12*" }
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5 changes: 3 additions & 2 deletions tests/test_funcs.py
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Expand Up @@ -521,6 +521,7 @@ def test_complex(self, xp: ModuleType):
expect = xp.asarray([[1.0, -1.0j], [1.0j, 1.0]], dtype=xp.complex128)
xp_assert_close(actual, expect)

@pytest.mark.xfail_xp_backend(Backend.JAX_GPU, reason="jax#32296")
@pytest.mark.xfail_xp_backend(Backend.JAX, reason="jax#32296")
@pytest.mark.xfail_xp_backend(Backend.SPARSE, reason="sparse#877")
def test_empty(self, xp: ModuleType):
Expand Down Expand Up @@ -989,14 +990,14 @@ def test_device(self, xp: ModuleType, device: Device, equal_nan: bool):
assert get_device(res) == device

def test_array_on_device_with_scalar(self, xp: ModuleType, device: Device):
a = xp.asarray([0.01, 0.5, 0.8, 0.9, 1.00001], device=device)
a = xp.asarray([0.01, 0.5, 0.8, 0.9, 1.00001], device=device, dtype=xp.float64)
b = 1
res = isclose(a, b)
assert get_device(res) == device
xp_assert_equal(res, xp.asarray([False, False, False, False, True]))

a = 0.1
b = xp.asarray([0.01, 0.5, 0.8, 0.9, 0.100001], device=device)
b = xp.asarray([0.01, 0.5, 0.8, 0.9, 0.100001], device=device, dtype=xp.float64)
res = isclose(a, b)
assert get_device(res) == device
xp_assert_equal(res, xp.asarray([False, False, False, False, True]))
Expand Down