[Installation]: Could not build wheels for aphrodite-engine, xformers

[MangoTCF]

Your current environment

PyTorch version: 2.3.1
Is debug build: False
CUDA used to build PyTorch: N/A
ROCM used to build PyTorch: 6.0.32831-
OS: Arch Linux (x86_64)
GCC version: (GCC) 14.1.1 20240522
Clang version: 17.0.6
CMake version: version 3.29.6
Libc version: glibc-2.39
Python version: 3.12.4 (main, Jun  7 2024, 06:33:07) [GCC 14.1.1 20240522] (64-bit runtime)
Python platform: Linux-6.9.6-zen1-1-zen-x86_64-with-glibc2.39
Is CUDA available: True
CUDA runtime version: 12.5.40
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: AMD Radeon RX 6700 XT (gfx1030)
Nvidia driver version: Could not collect 
cuDNN version: Could not collect 
HIP runtime version: 6.0.32831
MIOpen runtime version: 3.0.0
Is XNNPACK available: True
CPU:
Architecture:                         x86_64
CPU op-mode(s):                       32-bit, 64-bit
Address sizes:                        43 bits physical, 48 bits virtual
Byte Order:                           Little Endian
CPU(s):                               12
On-line CPU(s) list:                  0-11
Vendor ID:                            AuthenticAMD
Model name:                           AMD Ryzen 5 3600 6-Core Processor
CPU family:                           23
Model:                                113
Thread(s) per core:                   2
Core(s) per socket:                   6
Socket(s):                            1
Stepping:                             0
Frequency boost:                      enabled
CPU(s) scaling MHz:                   75%
CPU max MHz:                          4208.0000
CPU min MHz:                          550.0000
BogoMIPS:                             7186.60
Flags:                                fpu vme de pse tsc msr pae mce cx8 apic sep mtrr pge mca cmov pat pse36 clflush mmx fxsr sse sse2 ht syscall nx mmxext fxsr_opt pdpe1gb rdtscp lm constant_tsc rep_good nopl xtopology nonstop_tsc cpuid extd_apicid aperfmperf rapl pni pclmulqdq monitor ssse3 fma cx16 sse4_1 sse4_2 x2apic movbe popcnt aes xsave avx f16c rdrand lahf_lm cmp_legacy extapic cr8_legacy abm sse4a misalignsse 3dnowprefetch osvw ibs skinit wdt tce topoext perfctr_core perfctr_nb bpext perfctr_llc mwaitx cpb cat_l3 cdp_l3 hw_pstate ssbd mba ibpb stibp vmmcall fsgsbase bmi1 avx2 smep bmi2 cqm rdt_a rdseed adx smap clflushopt clwb sha_ni xsaveopt xsavec xgetbv1 cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local clzero irperf xsaveerptr rdpru wbnoinvd arat npt lbrv svm_lock nrip_save tsc_scale vmcb_clean flushbyasid decodeassists pausefilter pfthreshold avic v_vmsave_vmload vgif v_spec_ctrl umip rdpid overflow_recov succor smca sev sev_es
L1d cache:                            192 KiB (6 instances)
L1i cache:                            192 KiB (6 instances)
L2 cache:                             3 MiB (6 instances)
L3 cache:                             32 MiB (2 instances)
NUMA node(s):                         1
NUMA node0 CPU(s):                    0-11
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: Not affected
Vulnerability Retbleed:               Mitigation; untrained return thunk; SMT enabled with STIBP protection
Vulnerability Spec rstack overflow:   Mitigation; Safe RET
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; Retpolines; IBPB conditional; STIBP always-on; RSB filling; PBRSB-eIBRS Not affected; BHI Not affected
Vulnerability Srbds:                  Not affected
Vulnerability Tsx async abort:        Not affected
Versions of relevant libraries:
[pip3] flake8==7.0.0
[pip3] mypy_extensions==1.0.0
[pip3] numpy==2.0.0
[pip3] open-clip-torch==2.24.0
[pip3] optree==0.11.0
[pip3] pytorch-lightning==2.2.5
[pip3] torch==2.3.1
[pip3] torchdiffeq==0.2.4
[pip3] torchmetrics==1.4.0.post0
[pip3] torchsde==0.2.6
[pip3] torchvision==0.18.1a0
[conda] Could not collect ROCM Version: 6.0.32831-
Aphrodite Version: N/A
Aphrodite Build Flags:
CUDA Archs: Not Set; ROCm: Disabled

How did you install Aphrodite?

pip install -U aphrodite-engine --extra-index-url https://downloads.pygmalion.chat/whl/rocm603
OR
pip install -e . # in git clone'd directory
OR
pip install aphrodite-engine-0.5.3+cu125.tar.gz # from https://downloads.pygmalion.chat/whl/rocm603/aphrodite-engine/aphrodite-engine-0.5.3.tar.gz

[AlpinDale]

Please see the documentation for instructions on how to build for ROCm.