[Bug] AARCH64+UBUNTU22.04, meet ERROR: No matching distribution found for ai-edge-model-explorer-adapter==0.1.5.

🐛 Describe the bug

(executorch) pi@NanoPC-T6-LTS:~/Downloads/executorch$ ./install_requirements.sh
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/nightly/cpu
Collecting torch==2.6.0.dev20250104
Using cached https://download.pytorch.org/whl/nightly/cpu/torch-2.6.0.dev20250104%2Bcpu-cp310-cp310-manylinux_2_28_aarch64.whl.metadata (28 kB)
Collecting torchvision==0.22.0.dev20250104
Using cached https://download.pytorch.org/whl/nightly/cpu/torchvision-0.22.0.dev20250104-cp310-cp310-linux_aarch64.whl (14.8 MB)
Requirement already satisfied: typing-extensions in /home/pi/.local/lib/python3.10/site-packages (4.12.2)
Requirement already satisfied: cmake in /home/pi/.local/lib/python3.10/site-packages (3.31.4)
Requirement already satisfied: pip>=23 in /home/pi/.local/lib/python3.10/site-packages (24.3.1)
Collecting pyyaml
Using cached https://download.pytorch.org/whl/nightly/PyYAML-6.0.2-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl (718 kB)
Requirement already satisfied: setuptools>=63 in /home/pi/.local/lib/python3.10/site-packages (75.8.0)
Collecting tomli
Using cached tomli-2.2.1-py3-none-any.whl.metadata (10 kB)
Requirement already satisfied: wheel in /home/pi/miniconda3/envs/executorch/lib/python3.10/site-packages (0.44.0)
Collecting zstd
Using cached zstd-1.5.6.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (8.9 kB)
Collecting ai-edge-model-explorer>=0.1.16
Using cached ai_edge_model_explorer-0.1.16-py3-none-any.whl.metadata (2.2 kB)
Collecting timm==1.0.7
Using cached timm-1.0.7-py3-none-any.whl.metadata (47 kB)
Requirement already satisfied: torchaudio==2.6.0.dev20250104 in /home/pi/.local/lib/python3.10/site-packages (2.6.0.dev20250104)
Requirement already satisfied: torchsr==1.0.4 in /home/pi/.local/lib/python3.10/site-packages (1.0.4)
Requirement already satisfied: transformers==4.47.1 in /home/pi/.local/lib/python3.10/site-packages (4.47.1)
Requirement already satisfied: filelock in /home/pi/.local/lib/python3.10/site-packages (from torch==2.6.0.dev20250104) (3.16.1)
Collecting sympy==1.13.1 (from torch==2.6.0.dev20250104)
Using cached https://download.pytorch.org/whl/nightly/sympy-1.13.1-py3-none-any.whl (6.2 MB)
Requirement already satisfied: networkx in /home/pi/.local/lib/python3.10/site-packages (from torch==2.6.0.dev20250104) (3.4.2)
Requirement already satisfied: jinja2 in /home/pi/.local/lib/python3.10/site-packages (from torch==2.6.0.dev20250104) (3.1.5)
Requirement already satisfied: fsspec in /home/pi/.local/lib/python3.10/site-packages (from torch==2.6.0.dev20250104) (2024.12.0)
Collecting numpy (from torchvision==0.22.0.dev20250104)
Using cached numpy-2.2.1-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl.metadata (63 kB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision==0.22.0.dev20250104)
Using cached pillow-11.1.0-cp310-cp310-manylinux_2_28_aarch64.whl.metadata (9.1 kB)
Requirement already satisfied: huggingface_hub in /home/pi/.local/lib/python3.10/site-packages (from timm==1.0.7) (0.27.1)
Requirement already satisfied: safetensors in /home/pi/.local/lib/python3.10/site-packages (from timm==1.0.7) (0.5.2)
Requirement already satisfied: packaging>=20.0 in /home/pi/.local/lib/python3.10/site-packages (from transformers==4.47.1) (24.2)
Requirement already satisfied: regex!=2019.12.17 in /home/pi/.local/lib/python3.10/site-packages (from transformers==4.47.1) (2024.11.6)
Collecting requests (from transformers==4.47.1)
Using cached https://download.pytorch.org/whl/nightly/requests-2.32.3-py3-none-any.whl (64 kB)
Requirement already satisfied: tokenizers<0.22,>=0.21 in /home/pi/.local/lib/python3.10/site-packages (from transformers==4.47.1) (0.21.0)
Requirement already satisfied: tqdm>=4.27 in /home/pi/.local/lib/python3.10/site-packages (from transformers==4.47.1) (4.67.1)
Requirement already satisfied: mpmath<1.4,>=1.1.0 in /home/pi/.local/lib/python3.10/site-packages (from sympy==1.13.1->torch==2.6.0.dev20250104) (1.3.0)
Collecting flask (from ai-edge-model-explorer>=0.1.16)
Using cached flask-3.1.0-py3-none-any.whl.metadata (2.7 kB)
Collecting ipython (from ai-edge-model-explorer>=0.1.16)
Using cached ipython-8.31.0-py3-none-any.whl.metadata (4.9 kB)
INFO: pip is looking at multiple versions of ai-edge-model-explorer to determine which version is compatible with other requirements. This could take a while.
ERROR: Could not find a version that satisfies the requirement ai-edge-model-explorer-adapter==0.1.5 (from ai-edge-model-explorer) (from versions: none)
ERROR: No matching distribution found for ai-edge-model-explorer-adapter==0.1.5
Traceback (most recent call last):
File "/home/pi/Downloads/executorch/./install_requirements.py", line 182, in
subprocess.run(
File "/home/pi/miniconda3/envs/executorch/lib/python3.10/subprocess.py", line 524, in run
raise CalledProcessError(retcode, process.args,
subprocess.CalledProcessError: Command '['/home/pi/miniconda3/envs/executorch/bin/python', '-m', 'pip', 'install', 'torch==2.6.0.dev20250104', 'torchvision==0.22.0.dev20250104', 'typing-extensions', 'cmake', 'pip>=23', 'pyyaml', 'setuptools>=63', 'tomli', 'wheel', 'zstd', 'ai-edge-model-explorer>=0.1.16', 'timm==1.0.7', 'torchaudio==2.6.0.dev20250104', 'torchsr==1.0.4', 'transformers==4.47.1', '--extra-index-url', 'https://download.pytorch.org/whl/nightly/cpu']' returned non-zero exit status 1.

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 22.04.4 LTS (aarch64)
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: 3.10.0 (default, Mar 3 2022, 09:51:40) [GCC 10.2.0] (64-bit runtime)
Python platform: Linux-6.1.57-aarch64-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: aarch64
CPU op-mode(s): 32-bit, 64-bit
Byte Order: Little Endian
CPU(s): 8
On-line CPU(s) list: 0-7
Vendor ID: ARM
Model name: Cortex-A55
Model: 0
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Stepping: r2p0
CPU max MHz: 1800.0000
CPU min MHz: 408.0000
BogoMIPS: 48.00
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop asimddp
Model name: Cortex-A76
Model: 0
Thread(s) per core: 1
Core(s) per socket: 4
Socket(s): 1
Stepping: r4p0
CPU max MHz: 2256.0000
CPU min MHz: 408.0000
BogoMIPS: 48.00
Flags: fp asimd evtstrm aes pmull sha1 sha2 crc32 atomics fphp asimdhp cpuid asimdrdm lrcpc dcpop asimddp
L1d cache: 384 KiB (8 instances)
L1i cache: 384 KiB (8 instances)
L2 cache: 2.5 MiB (8 instances)
L3 cache: 3 MiB (1 instance)
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
Vulnerability Spectre v1: Mitigation; __user pointer sanitization
Vulnerability Spectre v2: Mitigation; CSV2, BHB
Vulnerability Srbds: Not affected
Vulnerability Tsx async abort: Not affected

Versions of relevant libraries:
[pip3] torchaudio==2.6.0.dev20250104
[pip3] torchsr==1.0.4
[conda] No relevant packages

cc @GregoryComer @dbort

Start with install_requirements.sh and install_requirements.py around line 182, where pip installs ai-edge-model-explorer and the other requirements. Reproduce the failure on Ubuntu 22.04 aarch64 with Python 3.10 and inspect the available package versions and platform support. Done means installation completes without the reported ai-edge-model-explorer-adapter error, with a suitable regression check or documented limitation.