Runtime Error in Elastic-Transform

🐛 Describe the bug

When executing the elastic transformation, a runtime error occurs, more precisely in the forward pass during padding. MRE:

import torch
import torchvision.transforms.v2 as transforms_v2

x = torch.rand([1,1,20,64])
transforms_v2.ElasticTransform(alpha=50.0)(x)

RuntimeError: Argument #6: Padding size should be less than the corresponding input dimension, but got: padding (20, 20) at dimension 2 of input [1, 1, 20, 64]

Versions

Collecting environment information... PyTorch version: 2.4.0 Is debug build: False CUDA used to build PyTorch: 12.4 ROCM used to build PyTorch: N/A

OS: Ubuntu 22.04.4 LTS (x86_64) GCC version: (Ubuntu 11.4.0-1ubuntu1~22.04) 11.4.0 Clang version: Could not collect CMake version: version 3.22.1 Libc version: glibc-2.35

Python version: 3.11.9 | packaged by conda-forge | (main, Apr 19 2024, 18:36:13) [GCC 12.3.0] (64-bit runtime) Python platform: Linux-5.15.0-113-generic-x86_64-with-glibc2.35 Is CUDA available: True CUDA runtime version: Could not collect CUDA_MODULE_LOADING set to: LAZY GPU models and configuration: GPU 0: NVIDIA GeForce RTX 3090 Nvidia driver version: 555.42.06 cuDNN version: Could not collect HIP runtime version: N/A MIOpen runtime version: N/A Is XNNPACK available: True

CPU: Architektur: x86_64 CPU Operationsmodus: 32-bit, 64-bit Adressgrößen: 46 bits physical, 48 bits virtual Byte-Reihenfolge: Little Endian CPU(s): 32 Liste der Online-CPU(s): 0-31 Anbieterkennung: GenuineIntel Modellname: 13th Gen Intel(R) Core(TM) i9-13900 Prozessorfamilie: 6 Modell: 183 Thread(s) pro Kern: 2 Kern(e) pro Socket: 24 Sockel: 1 Stepping: 1 Maximale Taktfrequenz der CPU: 5600,0000 Minimale Taktfrequenz der CPU: 800,0000 BogoMIPS: 3993.60 Markierungen: 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 sse4_1 sse4_2 x2apic movbe popcnt tsc_deadline_timer aes xsave avx f16c rdrand lahf_lm abm 3dnowprefetch cpuid_fault epb ssbd ibrs ibpb stibp ibrs_enhanced tpr_shadow vnmi flexpriority ept vpid ept_ad fsgsbase tsc_adjust bmi1 avx2 smep bmi2 erms invpcid rdseed adx smap clflushopt clwb intel_pt sha_ni xsaveopt xsavec xgetbv1 xsaves split_lock_detect avx_vnni dtherm ida arat pln pts hwp hwp_notify hwp_act_window hwp_epp hwp_pkg_req umip pku ospke waitpkg gfni vaes vpclmulqdq tme rdpid movdiri movdir64b fsrm md_clear serialize pconfig arch_lbr flush_l1d arch_capabilities Virtualisierung: VT-x L1d Cache: 896 KiB (24 instances) L1i Cache: 1,3 MiB (24 instances) L2 Cache: 32 MiB (12 instances) L3 Cache: 36 MiB (1 instance) NUMA-Knoten: 1 NUMA-Knoten0 CPU(s): 0-31 Schwachstelle Gather data sampling: Not affected Schwachstelle Itlb multihit: Not affected Schwachstelle L1tf: Not affected Schwachstelle Mds: Not affected Schwachstelle Meltdown: Not affected Schwachstelle Mmio stale data: Not affected Schwachstelle Retbleed: Not affected Schwachstelle Spec rstack overflow: Not affected Schwachstelle Spec store bypass: Mitigation; Speculative Store Bypass disabled via prctl and seccomp Schwachstelle Spectre v1: Mitigation; usercopy/swapgs barriers and __user pointer sanitization Schwachstelle Spectre v2: Mitigation; Enhanced IBRS; IBPB conditional; RSB filling; PBRSB-eIBRS SW sequence; BHI BHI_DIS_S Schwachstelle Srbds: Not affected Schwachstelle Tsx async abort: Not affected

Versions of relevant libraries: [pip3] numpy==1.24.3 [pip3] torch==2.4.0 [pip3] torch-tb-profiler==0.4.3 [pip3] torchaudio==2.4.0 [pip3] torchinfo==1.8.0 [pip3] torchvision==0.19.0 [pip3] triton==3.0.0 [conda] blas 1.0 mkl
[conda] libblas 3.9.0 12_linux64_mkl conda-forge [conda] libcblas 3.9.0 12_linux64_mkl conda-forge [conda] liblapack 3.9.0 12_linux64_mkl conda-forge [conda] liblapacke 3.9.0 12_linux64_mkl conda-forge [conda] libopenvino-pytorch-frontend 2024.2.0 he02047a_1 conda-forge [conda] mkl 2021.4.0 h06a4308_640
[conda] mkl-service 2.4.0 py311h5eee18b_0
[conda] mkl_fft 1.3.1 py311h30b3d60_0
[conda] mkl_random 1.2.2 py311hba01205_0
[conda] numpy 1.24.3 py311hc206e33_0
[conda] numpy-base 1.24.3 py311hfd5febd_0
[conda] pytorch 2.4.0 py3.11_cuda12.4_cudnn9.1.0_0 pytorch [conda] pytorch-cuda 12.4 hc786d27_6 pytorch [conda] pytorch-mutex 1.0 cuda pytorch [conda] torch-tb-profiler 0.4.3 pypi_0 pypi [conda] torchaudio 2.4.0 py311_cu124 pytorch [conda] torchinfo 1.8.0 pyhd8ed1ab_0 conda-forge [conda] torchtriton 3.0.0 py311 pytorch [conda] torchvision 0.19.0 py311_cu124 pytorch

pytorch / vision

Runtime Error in Elastic-Transform #8566

🐛 Describe the bug

Versions