Depthwise separable convolution computation by portable kernels expects wrong dim_order

🐛 Describe the bug

Running DSCNNKWS quantized executorch program in channel last using portable kernels produces the error below. The error indicates that a convolution (probably depthwise separable) expects a different dim order of the input tensor.
The error was discovered in a newly added NXP test for MLPerf Tiny Keyword Spotting in this PR:
https://github.com/pytorch/executorch/pull/22519
After investigating further, I believe the issue stems from legalize_portable_dim_order_passes, however I was unable to resolve it.
The error also looks quite similar to one of my previously reported issues:
https://github.com/pytorch/executorch/issues/20804

CRITICAL executorch.backends.nxp.tests.nsys_testing:nsys_testing.py:766 D 00:00:00.000010 executorch:operator_registry.cpp:116] Successfully registered all kernels from shared library: NOT_SUPPORTED
D 00:00:00.000052 executorch:operator_registry.cpp:116] Successfully registered all kernels from shared library: NOT_SUPPORTED
D 00:00:00.000162 executorch:operator_registry.cpp:116] Successfully registered all kernels from shared library: NOT_SUPPORTED
D 00:00:00.000736 executorch:method.cpp:864] Loading method: forward.
Loading file /home/nxg16998/code/executorch-integration/.outputs/test_mlperf_tiny_kws_mse_cpu_vs_npu[True]/dataset/test/example_Left_2_59_i00.bin
D 00:00:00.001189 executorch:method.cpp:1717] Executing method: forward.
E 00:00:00.003222 executorch:tensor_util_portable.cpp:64] Expected tensor to have default or channels last dim order, but got
E 00:00:00.003271 executorch:tensor_util_portable.cpp:68]     dim_order(0): 0
E 00:00:00.003276 executorch:tensor_util_portable.cpp:68]     dim_order(1): 2
E 00:00:00.003277 executorch:tensor_util_portable.cpp:68]     dim_order(2): 1
E 00:00:00.003278 executorch:tensor_util_portable.cpp:68]     dim_order(3): 3
E 00:00:00.003280 executorch:kernel_ops_util.cpp:384] Check failed (tensor_is_default_or_channels_last_dim_order(in)): 
E 00:00:00.003282 executorch:op_convolution.cpp:363] Check failed (check_convolution_args( in, weight, bias, stride, padding, dilation, transposed, output_padding, groups, out)): 
E 00:00:00.004056 executorch:method.cpp:1483] KernelCall failed at instruction 0:13 in operator aten::convolution.out: 0x12
E 00:00:00.004059 executorch:method.cpp:1493] arg 0 with type id 1
E 00:00:00.004060 executorch:method.cpp:1493] arg 1 with type id 1
E 00:00:00.004060 executorch:method.cpp:1493] arg 2 with type id 1
E 00:00:00.004061 executorch:method.cpp:1493] arg 3 with type id 8
E 00:00:00.004062 executorch:method.cpp:1493] arg 4 with type id 8
E 00:00:00.004062 executorch:method.cpp:1493] arg 5 with type id 8
E 00:00:00.004063 executorch:method.cpp:1493] arg 6 with type id 5
E 00:00:00.004063 executorch:method.cpp:1493] arg 7 with type id 8
E 00:00:00.004064 executorch:method.cpp:1493] arg 8 with type id 4
E 00:00:00.004064 executorch:method.cpp:1493] arg 9 with type id 1
E 00:00:00.004065 executorch:method.cpp:1493] arg 10 with type id 1
Execution of method forward failed with status 18...

Versions

Collecting environment information...
PyTorch version: 2.13.0+cpu
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: Ubuntu 24.04.3 LTS (x86_64)
GCC version: (Ubuntu 13.3.0-6ubuntu2~24.04.1) 13.3.0
Clang version: 18.1.3 (1ubuntu1)
CMake version: version 3.31.10
Libc version: glibc-2.39

Python version: 3.12.3 (main, Jun 19 2026, 12:46:00) [GCC 13.3.0] (64-bit runtime)
Python platform: Linux-6.6.87.2-microsoft-standard-WSL2-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: False
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, 48 bits virtual
Byte Order: Little Endian
CPU(s): 16
On-line CPU(s) list: 0-15
Vendor ID: GenuineIntel
Model name: 13th Gen Intel(R) Core(TM) i5-1350P
CPU family: 6
Model: 186
Thread(s) per core: 2
Core(s) per socket: 8
Socket(s): 1
Stepping: 2
BogoMIPS: 4377.61
Flags: fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ss ht syscall nx pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology tsc_reliable nonstop_tsc cpuid tsc_known_freq pni pclmulqdq vmx ssse3 fma cx16 pcid sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand hypervisor lahf_lm abm 3dnowprefetch ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 xsaves avx_vnni vnmi umip waitpkg gfni vaes vpclmulqdq rdpid movdiri movdir64b fsrm md_clear serialize flush_l1d arch_capabilities
Virtualization: VT-x
Hypervisor vendor: Microsoft
Virtualization type: full
L1d cache: 384 KiB (8 instances)
L1i cache: 256 KiB (8 instances)
L2 cache: 10 MiB (8 instances)
L3 cache: 12 MiB (1 instance)
NUMA node(s): 1
NUMA node0 CPU(s): 0-15
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 Reg file data sampling: Mitigation; Clear Register File
Vulnerability Retbleed: Mitigation; Enhanced IBRS
Vulnerability Spec rstack overflow: Not affected
Vulnerability Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl
Vulnerability Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization
Vulnerability Spectre v2: Mitigation; Enhanced / Automatic 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] executorch==1.5.0+9071414
[pip3] flake8==6.1.0
[pip3] flake8-breakpoint==1.1.0
[pip3] flake8-bugbear==24.4.26
[pip3] flake8-comprehensions==3.14.0
[pip3] flake8-plugin-utils==1.3.3
[pip3] flake8-pyi==23.5.0
[pip3] mypy==1.14.1
[pip3] mypy_extensions==1.1.0
[pip3] numpy==2.0.0
[pip3] optree==0.19.1
[pip3] pytorch_tokenizers==1.3.0
[pip3] torch==2.13.0+cpu
[pip3] torchao==0.18.0.dev20260729+cpu
[pip3] torchaudio==2.11.0+cpu
[pip3] torchdata==0.11.0+cpu
[pip3] torchsr==1.0.4
[pip3] torchtune==0.0.0
[pip3] torchvision==0.28.0+cpu
[conda] Could not collect

cc @larryliu0820 @manuelcandales @JakeStevens @JacobSzwejbka @lucylq @robert-kalmar @digantdesai @rascani