-
Notifications
You must be signed in to change notification settings - Fork 33
Issues: intel/torch-xpu-ops
New issue
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
Author
Label
Projects
Milestones
Assignee
Sort
Issues list
[Windows][ARC][UT] test_weight_norm.py::TestNNMethod::test_weight_norm_different_type failed with error AssertionError: Tensor-likes are not close!
client
hw: Arc
os: Windows
Windows Platform
#1401
opened Feb 24, 2025 by
huaiyuzh
[Microbench] loss.soft_margin_loss forward/backward have performance regression
#1399
opened Feb 24, 2025 by
huaiyuzh
Most of E2E models failed with torch._inductor.exc.InductorError: RuntimeError: Triton Error [ZE]: 0x78000011 on BMG windows.
client
dependency component: Triton
E2E
hw: BMG
module: dependency bug
Problem is not caused by us, but caused by the library we use
[iGPU] The device does not have the ext_intel_free_memory aspect
client
dependency component: driver
hw : LNL
hw : MTL
MTL platform
module: dependency bug
Problem is not caused by us, but caused by the library we use
os: Windows
Windows Platform
fractional_max_pool2d and fractional_max_pool3d cause an IPEX UT fail.
#1337
opened Feb 6, 2025 by
huaiyuzh
[Win] UR Error when OOM and break the tensor context
client
dependency component: driver
module: dependency bug
Problem is not caused by us, but caused by the library we use
os: Windows
Windows Platform
Previous Next
ProTip!
Add no:assignee to see everything that’s not assigned.