intel / intel/torch-xpu-ops

[Bug Skip]: [Regression]UT failures 2026-8-2

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regression skipped
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Description

### 🐛 Describe the bug with skip template

Cases:
~~op_ut,third_party.torch-xpu-ops.test.xpu.dynamo.test_misc_xpu.MiscTests,test_unbacked_sources_scalar~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.dynamo.test_wrap_inductor_compiled_regions_xpu.TestWrapInductorCompiledRegions,test_flex_attention_wrapper_with_cache~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_control_flow_xpu.TestControlFlow,test_scan_init_scanned_0~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_control_flow_xpu.TestControlFlow,test_scan_simple_graph~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_control_flow_xpu.AssociativeScanTests,test_associative_scan_different_input_size_wrong_dim~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_xpu_float64~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmap_autograd_grad_nn_functional_max_unpool2d_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmap_autograd_grad_nn_functional_max_unpool2d_xpu_float64~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapvjp_nn_functional_max_unpool2d_grad_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapvjp_nn_functional_max_unpool2d_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapvjpvjp_nn_functional_max_unpool2d_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapvjpvjp_nn_functional_max_unpool2d_grad_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapjvpvjp_nn_functional_max_unpool2d_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapvjpvjp_nn_functional_max_pool2d_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.functorch.test_ops_xpu.TestOperatorsXPU,test_vmapjvpvjp_nn_functional_max_unpool2d_grad_xpu_float32~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.test_fx_xpu.TestCommonPass,test_correctness_CSEPass_MutationInput_xpu~~
~~op_ut,third_party.torch-xpu-ops.test.xpu.test_fx_xpu.TestCommonPass,test_correctness_CSEPass_MutationMetadata_cpu~~
op_ut,third_party.torch-xpu-ops.test.xpu.test_fx_xpu.TestCommonPass,test_correctness_CSEPass_Mutation_cpu
~~op_ut,third_party.torch-xpu-ops.test.xpu.dynamo.test_ctx_manager_xpu.CtxManagerTests,test_store_attr_graph_break_key_error~~

## ErrorLog
### AssertionError: Scalars are not equal!
```bash
____________________ MiscTests.test_unbacked_sources_scalar ____________________
[gw5] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/dynamo/test_misc_xpu.py", line 9101, in test_unbacked_sources_scalar
self.assertEqual(counter.frame_count, 1)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_dynamo/test_case.py", line 127, in assertEqual
return super().assertEqual(x, y, *args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 4844, in assertEqual
raise error_metas.pop()[0].to_error( # type: ignore[index]
AssertionError: Scalars are not equal!
```
### AssertionError: "All xs leaves must at least have.*"
```bash
___________________ TestControlFlow.test_scan_init_scanned_0 ___________________
[gw1] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
torch._dynamo.exc.UncapturedHigherOrderOpError: Expected init and carry to have same metadata but found:
pair[0] differ in 'shape: torch.Size([3, 1, 2]) vs torch.Size([3, 3, 2])', 'stride: (2, 2, 1) vs (6, 2, 1)', where lhs is FakeTensor(..., size=(3, 1, 2)) and rhs is FakeTensor(..., size=(3, 3, 2))
Higher Order Operator: torch.ops.higher_order.scan

from user code:
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py", line 215, in run_flattened_scan
return scan_op(combine_fn, leaves_init, leaves_xs, ())

Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_control_flow_xpu.py", line 2337, in test_scan_init_scanned_0
with self.assertRaisesRegex(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 239, in __exit__
self._raiseFailure('"{}" does not match "{}"'.format(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 163, in _raiseFailure
raise self.test_case.failureException(msg)
AssertionError: "All xs leaves must at least have.*" does not match "Expected init and carry to have same metadata but found:
pair[0] differ in 'shape: torch.Size([3, 1, 2]) vs torch.Size([3, 3, 2])', 'stride: (2, 2, 1) vs (6, 2, 1)', where lhs is FakeTensor(..., size=(3, 1, 2)) and rhs is FakeTensor(..., size=(3, 3, 2))
Higher Order Operator: torch.ops.higher_order.scan

from user code:
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_higher_order_ops/scan.py", line 215, in run_flattened_scan
return scan_op(combine_fn, leaves_init, leaves_xs, ())

Set TORCHDYNAMO_VERBOSE=1 for the internal stack trace (please do this especially if you're reporting a bug to PyTorch). For even more developer context, set TORCH_LOGS="+dynamo"
"
```
### AssertionError: 'def [99 chars]e_int_1 = torch.ops.aten.sym_size.int(init_1, [674 chars]p_1)' != 'def [99 chars]e_int = torch.ops.aten.sym_size.int(init_1, 1)[668 chars]p_1)'
```bash
____________________ TestControlFlow.test_scan_simple_graph ____________________
[gw1] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_control_flow_xpu.py", line 3497, in test_scan_simple_graph
self.assertExpectedInline(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/testing/_internal/common_utils.py", line 3737, in assertExpectedInline
return super().assertExpectedInline(actual if isinstance(actual, str) else str(actual), expect, skip + 1)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/expecttest/__init__.py", line 413, in assertExpectedInline
assert_expected_inline(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/expecttest/__init__.py", line 378, in assert_expected_inline
assert_eq(expect, actual, msg=help_text)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/expecttest/__init__.py", line 450, in assertMultiLineEqualMaybeCppStack
self.assertMultiLineEqual(expect, actual, *args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 1226, in assertMultiLineEqual
self.fail(self._formatMessage(msg, standardMsg))
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 675, in fail
raise self.failureException(msg)
AssertionError: 'def [99 chars]e_int_1 = torch.ops.aten.sym_size.int(init_1, [674 chars]p_1)' != 'def [99 chars]e_int = torch.ops.aten.sym_size.int(init_1, 1)[668 chars]p_1)'
def forward(self, fct_1, init_1, xs_1):
flip = torch.ops.aten.flip.default(xs_1, [0])
+ sym_size_int = torch.ops.aten.sym_size.int(init_1, 1)
- sym_size_int_1 = torch.ops.aten.sym_size.int(init_1, 1)
? ^
+ sym_size_int_1 = torch.ops.aten.sym_size.int(init_1, 2)
? ^
- sym_size_int_2 = torch.ops.aten.sym_size.int(init_1, 2)
- sym_size_int_3 = torch.ops.aten.sym_size.int(xs_1, 1)
? ^
+ sym_size_int_2 = torch.ops.aten.sym_size.int(xs_1, 1)
? ^
- sym_size_int_4 = torch.ops.aten.sym_size.int(xs_1, 2); xs_1 = None
? ^
+ sym_size_int_3 = torch.ops.aten.sym_size.int(xs_1, 2); xs_1 = None
? ^
scan_combine_graph_0 = self.scan_combine_graph_0
- scan = torch.ops.higher_order.scan(scan_combine_graph_0, [init_1], [flip], (sym_size_int_1, sym_size_int_2, sym_size_int_3, sym_size_int_4)); scan_combine_graph_0 = init_1 = flip = sym_size_int_1 = sym_size_int_2 = sym_size_int_3 = sym_size_int_4 = None
? ^^^ ---------------- ^^^^ -----------------
+ scan = torch.ops.higher_order.scan(scan_combine_graph_0, [init_1], [flip], (sym_size_int, sym_size_int_1, sym_size_int_2, sym_size_int_3)); scan_combine_graph_0 = init_1 = flip = sym_size_int = sym_size_int_1 = sym_size_int_2 = sym_size_int_3 = None
? ^^^^^^^^^^^^^^^^^ ^^^^^^^^^^^^^^^^^^^
getitem = scan[0]
getitem_1 = scan[1]; scan = None
flip_1 = torch.ops.aten.flip.default(getitem_1, [0]); getitem_1 = None
return (getitem, flip_1) : To accept the new output, re-run test with envvar EXPECTTEST_ACCEPT=1 (we recommend staging/committing your changes before doing this)
```
### AssertionError: "All xs leaves must at least have.*" does not match "All xs leaves must have at least 'dim + 1' dimensions"
```bash
__ AssociativeScanTests.test_associative_scan_different_input_size_wrong_dim ___
[gw0] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
ValueError: All xs leaves must have at least 'dim + 1' dimensions

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/functorch/test_control_flow_xpu.py", line 4853, in test_associative_scan_different_input_size_wrong_dim
with self.assertRaisesRegex(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 239, in __exit__
self._raiseFailure('"{}" does not match "{}"'.format(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 163, in _raiseFailure
raise self.test_case.failureException(msg)
AssertionError: "All xs leaves must at least have.*" does not match "All xs leaves must have at least 'dim + 1' dimensions"
```
### Unexpected success
```bash
_ TestOperatorsXPU.test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_xpu_float32 _
[gw4] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_ TestOperatorsXPU.test_vmap_autograd_grad_nn_functional_max_unpool2d_grad_xpu_float64 _
[gw4] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_ TestOperatorsXPU.test_vmap_autograd_grad_nn_functional_max_unpool2d_xpu_float32 _
[gw4] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_ TestOperatorsXPU.test_vmap_autograd_grad_nn_functional_max_unpool2d_xpu_float64 _
[gw4] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
__ TestOperatorsXPU.test_vmapvjp_nn_functional_max_unpool2d_grad_xpu_float32 ___
[gw7] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_____ TestOperatorsXPU.test_vmapvjp_nn_functional_max_unpool2d_xpu_float32 _____
[gw7] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
___ TestOperatorsXPU.test_vmapvjpvjp_nn_functional_max_unpool2d_xpu_float32 ____
[gw4] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_ TestOperatorsXPU.test_vmapvjpvjp_nn_functional_max_unpool2d_grad_xpu_float32 _
[gw7] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
___ TestOperatorsXPU.test_vmapjvpvjp_nn_functional_max_unpool2d_xpu_float32 ____
[gw3] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
____ TestOperatorsXPU.test_vmapvjpvjp_nn_functional_max_pool2d_xpu_float32 _____
[gw5] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
_ TestOperatorsXPU.test_vmapjvpvjp_nn_functional_max_unpool2d_grad_xpu_float32 _
[gw2] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Unexpected success
```
### RuntimeError: Tried to trace mutable operation aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!). FX only supports functional code, so operations that mutate operands in-place (e.g. via `out` arguments) are not supported
```bash
__________ TestCommonPass.test_correctness_CSEPass_MutationInput_xpu ___________
[gw7] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/test_fx_xpu.py", line 142, in test_correctness
traced_m = torch.fx.experimental.proxy_tensor.make_fx(f)(inp)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 3383, in wrapped
return make_fx_tracer.trace(f, *args)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 3259, in trace
return self._trace_inner(f, *args)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 3209, in _trace_inner
t = dispatch_trace(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_compile.py", line 54, in inner
return disable_fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1545, in _fn
return fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1837, in dispatch_trace
graph = tracer.trace(root, concrete_args) # type: ignore[arg-type]
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/_symbolic_trace.py", line 932, in trace
(self.create_arg(fn(*args)),),
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1915, in wrapped
out = f(*tensors) # type:ignore[call-arg]
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/test/fx/test_common_passes.py", line 46, in MutationInput
x.add_(1)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1977, in __torch_function__
return func(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_compile.py", line 54, in inner
return disable_fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/_dynamo/eval_frame.py", line 1545, in _fn
return fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/utils/_stats.py", line 29, in wrapper
return fn(*args, **kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 2161, in __torch_dispatch__
return proxy_call(self, func, self.pre_dispatch, args, kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1417, in proxy_call
proxy_out = proxy_mode.tracer.create_proxy(
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/proxy.py", line 367, in create_proxy
node = self.create_node(kind, target, args_, kwargs_, name, type_expr)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/experimental/proxy_tensor.py", line 1710, in create_node
node = super().create_node(kind, target, args, kwargs, name, type_expr) # type: ignore[arg-type]
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/proxy.py", line 234, in create_node
check_for_mutable_operation(target_fn, args, kwargs)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/operator_schemas.py", line 207, in check_for_mutable_operation
throw_if_mutable(schema_to_check)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/site-packages/torch/fx/operator_schemas.py", line 195, in throw_if_mutable
raise RuntimeError(
RuntimeError: Tried to trace mutable operation aten::add_.Tensor(Tensor(a!) self, Tensor other, *, Scalar alpha=1) -> Tensor(a!). FX only supports functional code, so operations that mutate operands in-place (e.g. via `out` arguments) are not supported
```
### AssertionError: 0 not greater than 0
```bash
____________ CtxManagerTests.test_store_attr_graph_break_key_error _____________
[gw5] linux -- Python 3.10.20 /tmp/xpu-tool/Python/3.10.20/x64/bin/python
Traceback (most recent call last):
File "/__w/torch-xpu-ops/torch-xpu-ops/pytorch/third_party/torch-xpu-ops/test/xpu/dynamo/test_ctx_manager_xpu.py", line 1923, in test_store_attr_graph_break_key_error
self.assertGreater(len(counters["graph_break"]), 0)
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 1244, in assertGreater
self.fail(self._formatMessage(msg, standardMsg))
File "/tmp/xpu-tool/Python/3.10.20/x64/lib/python3.10/unittest/case.py", line 675, in fail
raise self.failureException(msg)
AssertionError: 0 not greater than 0
```
## Pytorch Version
latest good : [f2fa815](https://github.com/pytorch/pytorch/commit/f2fa81593a74bb8aca2c3da562765378665af089)
current : [4ee8fea](https://github.com/pytorch/pytorch/commit/4ee8fea1f8cbb27acf0dac1c4f2e8b8bb6aef7f7)

### Versions

Detail
Collecting environment information...
PyTorch version: 2.14.0a0+git4ee8fea
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.4 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.39

Python version: 3.10.20 (main, Jun 16 2026, 21:01:32) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-5.15.0-176-generic-x86_64-with-glibc2.39
Is CUDA available: False
CUDA runtime version: No CUDA
CUDA_MODULE_LOADING set to: N/A
GPU models and configuration: No CUDA
Nvidia driver version: No CUDA
cuDNN version: No CUDA
Is XPU available: True
XPU used to build PyTorch: 20260100
Intel GPU driver version:
* libze1: 1.24.0.0-1146~24.04
* intel-opencl-icd: 25.18.33578.51-1146~24.04
Intel GPU models onboard:
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
* Intel(R) Data Center GPU Max 1100
Intel GPU models detected:
* [0] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-0f00-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [1] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1600-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [2] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1a00-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [3] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-1e00-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [4] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-8a00-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [5] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-8e00-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [6] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-c000-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
* [7] _XpuDeviceProperties(name='Intel(R) Data Center GPU Max 1100', platform_name='Intel(R) oneAPI Unified Runtime over Level-Zero', type='gpu', device_id=0xBDA, uuid=8680da0b-2f00-0000-c400-000000000000, driver_version='1.6.33578+51', total_memory=49136MB, local_mem_size=128KB, last_level_cache_size=196608KB, max_compute_units=448, memory_clock_rate=3200MHz, memory_bus_width=64-bit, gpu_eu_count=448, gpu_subslice_count=56, max_work_group_size=1024, max_num_sub_groups=64, sub_group_sizes=[16 32], has_fp16=1, has_fp64=1, has_atomic64=1, is_integrated_gpu=0)
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: False
Caching allocator config: N/A

CPU:
Architecture: x86_64
CPU op-mode(s): 32-bit, 64-bit
Address sizes: 46 bits physical, 57 bits virtual
Byte Order: Little Endian
CPU(s): 192
[pip3] intel-sycl-rt==2026.1.0
[pip3] mkl==2026.1.0
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.24.4
[pip3] nvidia-cuda-cupti==13.3.75
[pip3] oneccl==2022.1.1
[pip3] oneccl-devel==2022.1.1
[pip3] onemkl-license==2026.1.0
[pip3] onemkl-sycl-blas==2026.1.0
[pip3] onemkl-sycl-dft==2026.1.0
[pip3] onemkl-sycl-lapack==2026.1.0
[pip3] onemkl-sycl-rng==2026.1.0
[pip3] onemkl-sycl-sparse==2026.1.0
[pip3] onnx==1.21.0
[pip3] onnx-ir==0.1.16
[pip3] onnxscript==0.6.2
[pip3] optree==0.13.0
[pip3] tbb==2023.1.0
[pip3] tcmlib==1.5.0
[pip3] torch==2.14.0a0+git4ee8fea
[pip3] torchao==0.19.0.dev20260802+xpu
[pip3] torchaudio==2.11.0a0+c0cbdb9
[pip3] torchvision==0.29.0a0+10f68db
[pip3] triton-xpu==3.7.2+git5fcc14d9
[pip3] umf==1.1.0
[conda] No relevant packages

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