Installation issue for torchcodec with index url

[kambstreat]

🐛 Describe the bug

I am trying to install cuda enabled torchcodec from the documentation. https://github.com/pytorch/torchcodec?tab=readme-ov-file#installing-cuda-enabled-torchcodec

I could able to do Steps 1,2,3 but not step4

pip install torchcodec --index-url=https://download.pytorch.org/whl/cu124

I checked https://download.pytorch.org/whl/cu124 and could not find torchcodec.

Fetching project page and analyzing links: https://download.pytorch.org/whl/cu124/torchcodec/
Getting page https://download.pytorch.org/whl/cu124/torchcodec/
Found index url https://download.pytorch.org/whl/cu124
Looking up "https://download.pytorch.org/whl/cu124/torchcodec/" in the cache
Request header has "max_age" as 0, cache bypassed
Starting new HTTPS connection (1): download.pytorch.org:443
https://download.pytorch.org:443 "GET /whl/cu124/torchcodec/ HTTP/1.1" 403 None
Status code 403 not in (200, 203, 300, 301, 308)
Could not fetch URL https://download.pytorch.org/whl/cu124/torchcodec/: 403 Client Error: Forbidden for url: https://download.pytorch.org/whl/cu124/torchcodec/ - skipping
Skipping link: not a file: https://download.pytorch.org/whl/cu124/torchcodec/
Given no hashes to check 0 links for project 'torchcodec': discarding no candidates```


### Versions

Collecting environment information...
PyTorch version: 2.5.1+cu124
Is debug build: False
CUDA used to build PyTorch: 12.4
ROCM used to build PyTorch: N/A

OS: Pop!_OS 20.04 LTS (x86_64)
GCC version: (Ubuntu 9.4.0-1ubuntu1~20.04.2) 9.4.0
Clang version: Could not collect
CMake version: version 3.16.3
Libc version: glibc-2.31

Python version: 3.10.15 (main, Sep  7 2024, 18:35:33) [GCC 9.4.0] (64-bit runtime)
Python platform: Linux-6.0.12-76060012-generic-x86_64-with-glibc2.31
Is CUDA available: True
CUDA runtime version: 10.1.243
CUDA_MODULE_LOADING set to: LAZY
GPU models and configuration: GPU 0: NVIDIA GeForce RTX 2060 SUPER
Nvidia driver version: 560.35.03
cuDNN version: Could not collect
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Architecture:                    x86_64
CPU op-mode(s):                  32-bit, 64-bit
Byte Order:                      Little Endian
Address sizes:                   46 bits physical, 48 bits virtual
CPU(s):                          20
On-line CPU(s) list:             0-19
Thread(s) per core:              2
Core(s) per socket:              10
Socket(s):                       1
NUMA node(s):                    1
Vendor ID:                       GenuineIntel
CPU family:                      6
Model:                           85
Model name:                      Intel(R) Core(TM) i9-10900X CPU @ 3.70GHz
Stepping:                        7
CPU MHz:                         1200.122
CPU max MHz:                     4700.0000
CPU min MHz:                     1200.0000
BogoMIPS:                        7399.70
Virtualization:                  VT-x
L1d cache:                       320 KiB
L1i cache:                       320 KiB
L2 cache:                        10 MiB
L3 cache:                        19.3 MiB
NUMA node0 CPU(s):               0-19
Vulnerability Itlb multihit:     KVM: Mitigation: VMX disabled
Vulnerability L1tf:              Not affected
Vulnerability Mds:               Not affected
Vulnerability Meltdown:          Not affected
Vulnerability Mmio stale data:   Mitigation; Clear CPU buffers; SMT vulnerable
Vulnerability Retbleed:          Mitigation; Enhanced IBRS
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 IBRS, IBPB conditional, RSB filling, PBRSB-eIBRS SW sequence
Vulnerability Srbds:             Not affected
Vulnerability Tsx async abort:   Mitigation; TSX disabled
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 pni pclmulqdq dtes64 monitor ds_cpl vmx 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 cdp_l3 invpcid_single 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 mpx rdt_a avx512f avx512dq rdseed adx smap clflushopt clwb intel_pt avx512cd avx512bw avx512vl xsaveopt xsavec xgetbv1 xsaves cqm_llc cqm_occup_llc cqm_mbm_total cqm_mbm_local dtherm ida arat pln pts hwp hwp_act_window hwp_epp hwp_pkg_req avx512_vnni md_clear flush_l1d arch_capabilities

Versions of relevant libraries:
[pip3.10] numpy==2.1.3
[pip3.10] nvidia-cublas-cu12==12.4.5.8
[pip3.10] nvidia-cuda-cupti-cu12==12.4.127
[pip3.10] nvidia-cuda-nvrtc-cu12==12.4.127
[pip3.10] nvidia-cuda-runtime-cu12==12.4.127
[pip3.10] nvidia-cudnn-cu12==9.1.0.70
[pip3.10] nvidia-cufft-cu12==11.2.1.3
[pip3.10] nvidia-curand-cu12==10.3.5.147
[pip3.10] nvidia-cusolver-cu12==11.6.1.9
[pip3.10] nvidia-cusparse-cu12==12.3.1.170
[pip3.10] nvidia-nccl-cu12==2.21.5
[pip3.10] nvidia-nvjitlink-cu12==12.4.127
[pip3.10] nvidia-nvtx-cu12==12.4.127
[pip3.10] torch==2.5.1
[pip3.10] torchaudio==2.5.1
[pip3.10] torchvision==0.20.1
[pip3.10] triton==3.1.0

[NicolasHug]

Hi @kambstreat , thank you for the report. Sorry about the inconvenience: we pushed our new installation instructions yesterday, but we didn't get a chance to fully finalize the release, so the wheels you are trying to download simply aren't there yet.

I'll be doing that just now, hopefully everything should be working later today. I'll report back here.

(If you want to be unblocked immediately, you might be able to use --index-url=https://download.pytorch.org/whl/nightly/cu124 instead.)

[NicolasHug]

Quick update: CUDA wheels should now be live at https://pytorch.s3.us-east-1.amazonaws.com/whl/torchcodec/index.html

Please try again @kambstreat , and let me know if you encounter any issue!