[Bug Skip]: Complex cases got failed with 2025-11-03 pytorch

[mengfei25]

🐛 Describe the bug with skip template

Cases:
op_ut,third_party.torch-xpu-ops.test.xpu.test_reductions_xpu.TestReductionsXPU,test_logcumsumexp_complex_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_reductions_xpu.TestReductionsXPU,test_reductions_large_half_tensors_xpu_complex32
op_ut,third_party.torch-xpu-ops.test.xpu.test_binary_ufuncs_xpu.TestBinaryUfuncsXPU,test_pow_cuda_complex_extremal_passing_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_pinv_errors_and_warnings_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inv_errors_and_warnings_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inv_errors_and_warnings_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inv_ex_singular_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inv_ex_singular_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inverse_errors_large_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inverse_errors_large_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inverse_errors_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_inverse_errors_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_svd_lowrank_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_tensordot_out_kernel_errors_with_autograd_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_lstsq_input_checks_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_lstsq_input_checks_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_solve_triangular_large_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_solve_triangular_large_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_blas_alpha_beta_empty_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_solve_triangular_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_blas_alpha_beta_empty_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_linalg_xpu.TestLinalgXPU,test_linalg_solve_triangular_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_meta_xpu.TestMetaXPU,test_meta_outplace_to_sparse_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_fwd_gradients_xpu.TestFwdGradientsXPU,test_forward_mode_AD_nn_functional_conv_transpose2d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_fwd_gradients_xpu.TestFwdGradientsXPU,test_forward_mode_AD_nn_functional_conv_transpose3d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_fwd_gradients_xpu.TestFwdGradientsXPU,test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_fwd_gradients_xpu.TestFwdGradientsXPU,test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_gradients_xpu.TestBwdGradientsXPU,test_fn_gradgrad_nn_functional_conv_transpose2d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_gradients_xpu.TestBwdGradientsXPU,test_fn_gradgrad_nn_functional_conv_transpose3d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_gradients_xpu.TestBwdGradientsXPU,test_fn_grad_nn_functional_conv_transpose2d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_gradients_xpu.TestBwdGradientsXPU,test_fn_grad_nn_functional_conv_transpose3d_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_variant_consistency_eager_nn_functional_conv_transpose2d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_variant_consistency_eager_nn_functional_conv_transpose3d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestMathBitsXPU,test_conj_view_nn_functional_conv_transpose2d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestMathBitsXPU,test_conj_view_nn_functional_conv_transpose3d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_noncontiguous_samples_nn_functional_conv_transpose2d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_ops_xpu.TestCommonXPU,test_noncontiguous_samples_nn_functional_conv_transpose3d_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_sparse_xpu.TestSparseXPU,test_empty_like_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_torch_xpu.TestTorchDeviceTypeXPU,test_storage_setitem_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_torch_xpu.TestTorchDeviceTypeXPU,test_storage_setitem_xpu_complex64
op_ut,third_party.torch-xpu-ops.test.xpu.test_torch_xpu.TestTorchDeviceTypeXPU,test_tensor_storage_type_xpu_complex128
op_ut,third_party.torch-xpu-ops.test.xpu.test_torch_xpu.TestTorchDeviceTypeXPU,test_tensor_storage_type_xpu_complex64

Test name	Message
test_inverse_errors_large_xpu_complex128	AssertionError: "(Batch element 0): The diagonal element 11 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_inverse_errors_large_xpu_complex64	AssertionError: "(Batch element 0): The diagonal element 11 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_inv_errors_and_warnings_xpu_complex128	AssertionError: "(Batch element 0): The diagonal element 3 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_inv_errors_and_warnings_xpu_complex64	AssertionError: "(Batch element 0): The diagonal element 3 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_inverse_errors_xpu_complex128	AssertionError: "(Batch element 0): The diagonal element 3 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_inverse_errors_xpu_complex64	AssertionError: "(Batch element 0): The diagonal element 3 is zero" does not match "linalg.inv: (Batch element 0): The diagonal element 1 is zero, the inversion could not be completed because the input matrix is singular."
test_linalg_lstsq_input_checks_xpu_complex128	AssertionError: RuntimeError not raised
test_linalg_lstsq_input_checks_xpu_complex64	AssertionError: RuntimeError not raised
test_pow_cuda_complex_extremal_passing_xpu_complex64	AssertionError: Scalars are not close!
test_reductions_large_half_tensors_xpu_complex32	AssertionError: Scalars are not close!
test_pinv_errors_and_warnings_xpu_complex128	AssertionError: Scalars are not equal!
test_linalg_solve_triangular_large_xpu_complex128	AssertionError: Tensor-likes are not close!
test_linalg_solve_triangular_large_xpu_complex64	AssertionError: Tensor-likes are not close!
test_linalg_solve_triangular_xpu_complex128	AssertionError: Tensor-likes are not close!
test_linalg_solve_triangular_xpu_complex64	AssertionError: Tensor-likes are not close!
test_logcumsumexp_complex_xpu_complex64	AssertionError: Tensor-likes are not close!
test_inv_ex_singular_xpu_complex128	AssertionError: Tensor-likes are not equal!
test_inv_ex_singular_xpu_complex64	AssertionError: Tensor-likes are not equal!
test_storage_setitem_xpu_complex128	AttributeError: module 'torch.xpu' has no attribute 'ComplexDoubleStorage'
test_tensor_storage_type_xpu_complex128	AttributeError: module 'torch.xpu' has no attribute 'ComplexDoubleStorage'
test_storage_setitem_xpu_complex64	AttributeError: module 'torch.xpu' has no attribute 'ComplexFloatStorage'
test_tensor_storage_type_xpu_complex64	AttributeError: module 'torch.xpu' has no attribute 'ComplexFloatStorage'
test_meta_outplace_to_sparse_xpu_complex128	failed on setup with "worker 'gw0' crashed while running 'third_party/torch-xpu-ops/test/xpu/test_meta_xpu.py::TestMetaXPU::test_meta_outplace_to_sparse_xpu_complex128'"
test_svd_lowrank_xpu_complex128	NotImplementedError: Could not run 'aten::addmm' with arguments from the 'SparseXPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::addmm' is only available for these backends: [CPU, CUDA, HIP, MPS, IPU, XPU, HPU, VE, MTIA, MAIA, PrivateUse1, PrivateUse2, PrivateUse3, Meta, FPGA, Vulkan, Metal, QuantizedCPU, QuantizedCUDA, QuantizedHIP, QuantizedMPS, QuantizedIPU, QuantizedXPU, QuantizedHPU, QuantizedVE, QuantizedMTIA, QuantizedMAIA, QuantizedPrivateUse1, QuantizedPrivateUse2, QuantizedPrivateUse3, QuantizedMeta, CustomRNGKeyId, MkldnnCPU, SparseCPU, SparseCsrCPU, SparseCsrCUDA, SparseCsrHIP, SparseCsrMPS, SparseCsrIPU, SparseCsrXPU, SparseCsrHPU, SparseCsrVE, SparseCsrMTIA, SparseCsrMAIA, SparseCsrPrivateUse1, SparseCsrPrivateUse2, SparseCsrPrivateUse3, SparseCsrMeta, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher].
test_empty_like_xpu_complex128	NotImplementedError: Could not run 'aten::empty_strided' with arguments from the 'SparseXPU' backend. This could be because the operator doesn't exist for this backend, or was omitted during the selective/custom build process (if using custom build). If you are a Facebook employee using PyTorch on mobile, please visit https://fburl.com/ptmfixes for possible resolutions. 'aten::empty_strided' is only available for these backends: [CPU, XPU, Meta, QuantizedCPU, BackendSelect, Python, FuncTorchDynamicLayerBackMode, Functionalize, Named, Conjugate, Negative, ZeroTensor, ADInplaceOrView, AutogradOther, AutogradCPU, AutogradCUDA, AutogradHIP, AutogradXLA, AutogradMPS, AutogradIPU, AutogradXPU, AutogradHPU, AutogradVE, AutogradLazy, AutogradMTIA, AutogradMAIA, AutogradPrivateUse1, AutogradPrivateUse2, AutogradPrivateUse3, AutogradMeta, AutogradNestedTensor, Tracer, AutocastCPU, AutocastMTIA, AutocastMAIA, AutocastXPU, AutocastMPS, AutocastCUDA, FuncTorchBatched, BatchedNestedTensor, FuncTorchVmapMode, Batched, VmapMode, FuncTorchGradWrapper, PythonTLSSnapshot, FuncTorchDynamicLayerFrontMode, PreDispatch, PythonDispatcher]. ; AssertionError: "Could not run 'aten::empty_strided' with arguments from the 'Sparse(CPU
test_tensordot_out_kernel_errors_with_autograd_xpu_complex64	RuntimeError: cannot resize variables that require grad ; AssertionError: "the 'out' tensor was specified and requires gradients" does not match "cannot resize variables that require grad"
test_conj_view_nn_functional_conv_transpose2d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_conj_view_nn_functional_conv_transpose3d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_fwgrad_bwgrad_nn_functional_conv_transpose2d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_fwgrad_bwgrad_nn_functional_conv_transpose3d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_grad_nn_functional_conv_transpose2d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_grad_nn_functional_conv_transpose3d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_gradgrad_nn_functional_conv_transpose2d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_fn_gradgrad_nn_functional_conv_transpose3d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_forward_mode_AD_nn_functional_conv_transpose2d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_forward_mode_AD_nn_functional_conv_transpose3d_xpu_complex128	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_noncontiguous_samples_nn_functional_conv_transpose2d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_noncontiguous_samples_nn_functional_conv_transpose3d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_variant_consistency_eager_nn_functional_conv_transpose2d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_variant_consistency_eager_nn_functional_conv_transpose3d_xpu_complex64	RuntimeError: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information. ; Exception: could not create a primitive descriptor for the deconvolution forward propagation primitive. Run workload with environment variable ONEDNN_VERBOSE=all to get additional diagnostic information.
test_blas_alpha_beta_empty_xpu_complex128	RuntimeError: output with shape [2] doesn't match the broadcast shape [2, 2]
test_blas_alpha_beta_empty_xpu_complex64	RuntimeError: output with shape [2] doesn't match the broadcast shape [2, 2]

Versions

Collecting environment information...
PyTorch version: 2.10.0a0+gitc3b71d5
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.5 LTS (x86_64)
GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04.2) 11.4.0
Clang version: Could not collect
CMake version: version 3.31.6
Libc version: glibc-2.35

Python version: 3.10.19 (main, Oct 10 2025, 01:02:36) [GCC 11.4.0] (64-bit runtime)
Python platform: Linux-5.15.0-153-generic-x86_64-with-glibc2.35
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: 20250201
Intel GPU driver version:

• intel-opencl-icd: 25.18.33578.38-1146~22.04
• libze1: 1.21.9.0-1136~22.04
  Intel GPU models onboard:
  N/A
  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+38', total_memory=49136MB, max_compute_units=448, 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)
• [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+38', total_memory=49136MB, max_compute_units=448, 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)
• [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+38', total_memory=49136MB, max_compute_units=448, 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)
• [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+38', total_memory=49136MB, max_compute_units=448, 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)
• [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-af00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, 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)
• [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-b300-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, 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)
• [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-bf00-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, 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)
• [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-c300-000000000000, driver_version='1.6.33578+38', total_memory=49136MB, max_compute_units=448, 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)
  HIP runtime version: N/A
  MIOpen runtime version: N/A
  Is XNNPACK available: True

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
On-line CPU(s) list: 0-191
Vendor ID: GenuineIntel
Model name: Intel(R) Xeon(R) Platinum 8468V
CPU family: 6
Model: 143
Thread(s) per core: 2
Core(s) per socket: 48
Socket(s): 2
Stepping: 8
Frequency boost: enabled
CPU max MHz: 2401.0000
CPU min MHz: 800.0000
BogoMIPS: 4800.00
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush dts acpi mmx fxsr sse sse2 ss ht tm pbe syscall nx pdpe1gb rdtscp lm constant_tsc art arch_perfmon pebs bts rep_good nopl xtopology nonstop_tsc cpuid aperfmperf tsc_known_freq pni pclmulqdq dtes64 monitor ds_cpl vmx smx est tm2 ssse3 sdbg fma cx16 xtpr pdcm pcid dca sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb cat_l3 cat_l2 cdp_l3 invpcid_single intel_ppin cdp_l2 ssbd mba ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid cqm rdt_a avx512f avx512dq rdseed adx smap avx512ifma clflushopt clwb intel_pt avx512cd sha_ni avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local split_lock_detect avx_vnni avx512_bf16 wbnoinvd dtherm ida arat pln pts avx512vbmi umip pku ospke waitpkg avx512_vbmi2 gfni vaes vpclmulqdq avx512_vnni avx512_bitalg tme avx512_vpopcntdq la57 rdpid bus_lock_detect cldemote movdiri movdir64b enqcmd fsrm md_clear serialize tsxldtrk pconfig arch_lbr amx_bf16 avx512_fp16 amx_tile amx_int8 flush_l1d arch_capabilities
Virtualization: VT-x
L1d cache: 4.5 MiB (96 instances)
L1i cache: 3 MiB (96 instances)
L2 cache: 192 MiB (96 instances)
L3 cache: 195 MiB (2 instances)
NUMA node(s): 2
NUMA node0 CPU(s): 0-47,96-143
NUMA node1 CPU(s): 48-95,144-191
Vulnerability Gather data sampling: Not affected
Vulnerability Indirect target selection: Not affected
Vulnerability Itlb multihit: Not affected
Vulnerability L1tf: Not affected
Vulnerability Mds: Not affected
Vulnerability Meltdown: Not affected
Vulnerability Mmio stale data: Not affected
Vulnerability Reg file data sampling: Not affected
Vulnerability Retbleed: Not affected
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic IBRS; IBPB disabled; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] dpcpp-cpp-rt==2025.2.1
[pip3] impi-rt==2021.16.1
[pip3] intel-cmplr-lib-rt==2025.2.1
[pip3] intel-cmplr-lib-ur==2025.2.1
[pip3] intel-cmplr-lic-rt==2025.2.1
[pip3] intel-opencl-rt==2025.2.1
[pip3] intel-openmp==2025.2.1
[pip3] intel-pti==0.13.1
[pip3] intel-sycl-rt==2025.2.1
[pip3] mkl==2025.2.0
[pip3] mypy==1.16.0
[pip3] mypy_extensions==1.1.0
[pip3] numpy==1.22.4
[pip3] oneccl==2021.16.1
[pip3] oneccl-devel==2021.16.1
[pip3] onemkl-sycl-blas==2025.2.0
[pip3] onemkl-sycl-dft==2025.2.0
[pip3] onemkl-sycl-lapack==2025.2.0
[pip3] onemkl-sycl-rng==2025.2.0
[pip3] onemkl-sycl-sparse==2025.2.0
[pip3] onnx==1.19.1
[pip3] onnx-ir==0.1.12
[pip3] onnxscript==0.5.4
[pip3] optree==0.13.0
[pip3] pytorch-triton-xpu==3.5.0+git1b0418a9
[pip3] tbb==2022.2.0
[pip3] tcmlib==1.4.0
[pip3] torch==2.10.0a0+gitc3b71d5
[pip3] torchao==0.15.0.dev20251031+xpu
[pip3] torchaudio==2.10.0a0+3b0e7a6
[pip3] torchvision==0.25.0a0+218d2ab
[pip3] umf==0.11.0
[conda] Could not collect