AssertionError: Jiterator is only supported on CUDA and ROCm GPUs, none are available.

"_jiterator_",

core dump

"test_comprehensive_nn_functional_linear_xpu_int16",
"test_comprehensive_nn_functional_linear_xpu_int64",

NotImplementedError: Could not run 'aten::_thnn_fused_gru_cell' with arguments from the 'CPU' backend.

"test_rnn_decomp_module_nn_GRU_eval_mode_xpu_float32",
"test_rnn_decomp_module_nn_GRU_train_mode_xpu_float32",

Unexpected success :

"test_quick_core_backward_norm_fro_xpu_float64",
"test_quick_core_backward_norm_inf_xpu_float64",

RuntimeError: device type of values (xpu) must be CPU or CUDA or Meta :

"test_comprehensive_sparse_sampled_addmm_xpu_complex128",
"test_comprehensive_sparse_sampled_addmm_xpu_complex64",
"test_comprehensive_sparse_sampled_addmm_xpu_float32",
"test_comprehensive_sparse_sampled_addmm_xpu_float64",

NotImplementedError: could not find kernel for aten._to_dense.default at dispatch key DispatchKey.SparseXPU :

"test_comprehensive_to_sparse_xpu_float32",
"test_comprehensive_to_sparse_xpu_float64",

AssertionError: Scalars are not close! :

"test_comprehensive_vdot_xpu_complex128",
"test_comprehensive_vdot_xpu_complex64",
"test_quick_vdot_xpu_complex128",
"test_quick_vdot_xpu_complex64",

RuntimeError: could not create a primitive :

"test_comprehensive_addbmm_xpu_bfloat16",
"test_comprehensive_addbmm_xpu_float16",
"test_comprehensive_addbmm_xpu_float32",
"test_comprehensive_addbmm_xpu_int8",
"test_comprehensive_addmm_xpu_float32",
"test_comprehensive_addmv_xpu_float32",
"test_quick_addmm_xpu_float32",
"test_quick_addmv_xpu_float32",

RuntimeError: value cannot be converted to type float without overflow :

"test_comprehensive_addbmm_xpu_complex128",
"test_comprehensive_addbmm_xpu_complex64",

RuntimeError: could not create a primitive descriptor for a deconvolution forward propagation primitive :

"test_comprehensive_nn_functional_conv_transpose2d_xpu_bfloat16",
"test_comprehensive_nn_functional_conv_transpose2d_xpu_complex128",
"test_comprehensive_nn_functional_conv_transpose2d_xpu_complex64",
"test_comprehensive_nn_functional_conv_transpose2d_xpu_float16",
"test_comprehensive_nn_functional_conv_transpose2d_xpu_float32",
"test_comprehensive_nn_functional_conv_transpose2d_xpu_float64",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_bfloat16",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_complex128",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_complex64",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_float16",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_float32",
"test_comprehensive_nn_functional_conv_transpose3d_xpu_float64",

AssertionError: Tensor-likes are not equal! :

"test_comprehensive___rmatmul___xpu_int8",
"test_comprehensive_addmm_xpu_int8",
"test_comprehensive_addmv_xpu_int8",
"test_comprehensive_baddbmm_xpu_int8",
"test_comprehensive_matmul_xpu_int8",
"test_comprehensive_mv_xpu_int8",
"test_quick_addmm_xpu_int8",
"test_quick_addmv_xpu_int8",
"test_quick_baddbmm_xpu_int8",
"test_rrelu_with_noise_xpu",
"test_exponential_non_inf_xpu",

Versions

Collecting environment information... PyTorch version: N/A Is debug build: N/A CUDA used to build PyTorch: N/A ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.3 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: 14.0.0-1ubuntu1.1 CMake version: version 3.22.1 Libc version: glibc-2.35

Python version: 3.9.19 (main, Mar 21 2024, 17:11:28) [GCC 11.2.0] (64-bit runtime) Python platform: Linux-5.15.0-106-generic-x86_64-with-glibc2.35 Is CUDA available: N/A CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: N/A GPU models and configuration: Could not collect Nvidia driver version: Could not collect cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: N/A

CPU: Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 52 bits physical, 57 bits virtual Byte Order: Little Endian CPU(s): 224 On-line CPU(s) list: 0-223 Vendor ID: GenuineIntel Model name: Intel(R) Xeon(R) Platinum 8480+ CPU family: 6 Model: 143 Thread(s) per core: 2 Core(s) per socket: 56 Socket(s): 2 Stepping: 8 CPU max MHz: 3800.0000 CPU min MHz: 800.0000 BogoMIPS: 4000.00 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 hwp hwp_act_window hwp_epp hwp_pkg_req 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: 5.3 MiB (112 instances) L1i cache: 3.5 MiB (112 instances) L2 cache: 224 MiB (112 instances) L3 cache: 210 MiB (2 instances) NUMA node(s): 2 NUMA node0 CPU(s): 0-55,112-167 NUMA node1 CPU(s): 56-111,168-223 Vulnerability Gather data sampling: 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 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 IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Vulnerability Srbds: Not affected Vulnerability Tsx async abort: Not affected

Versions of relevant libraries: [pip3] intel-extension-for-pytorch==2.1.30+git9e27c62 [pip3] numpy==1.26.4 [pip3] torch==2.4.0a0+gitff98731 [conda] intel-extension-for-pytorch 2.1.30+git9e27c62 dev_0 [conda] numpy 1.26.4 pypi_0 pypi [conda] torch 2.4.0a0+gitff98731 pypi_0 pypi

chuanqi129 commented 3 months ago

@daisyden @yuchengliu1 please create sub-issues after triage, target 2.5 release

yuchengliu1 commented 1 month ago

retest with c6981a238cdaf93774b1c6a3550a436f530f4736 and find some new failures with unsupported ops

AssertionError: Get None or [] without decomp

"test_comprehensive_nn_functional_logsigmoid_xpu",
"test_comprehensive_nn_functional_multilabel_soft_margin_loss_xpu",
"test_quick_nn_functional_logsigmoid_xpu",

yuchengliu1 commented 3 weeks ago

These OP is not support now

intel / torch-xpu-ops

[Evaluated] Issues in test_decomp #584

🐛 Describe the bug