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ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. #104598

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@OlegBEZb

Description

@OlegBEZb

🐛 Describe the bug

I try to build a docker container with a package having a pytorch as a requirement. But for some reason the same stage always fails.

Dockerfile

FROM python:3.11

RUN pip install -r requirements.txt

requirements.txt

sentence-transformers==2.2.1
streamlit==1.21.0
streamlit-chat==0.0.2.2
requests==2.28.2
openai==0.27.6
langchain==0.0.191
tiktoken==0.4.0

I run

docker build . -t "demo"

While collecting torch, I get the following error:

#0 7.771 Collecting torch>=1.6.0 (from sentence-transformers==2.2.1->-r requirements.txt (line 1))
#0 7.830   Downloading torch-2.0.1-cp311-cp311-manylinux1_x86_64.whl (619.9 MB)
#0 10.95      ━━━╸                                    62.4/619.9 MB 18.7 MB/s eta 0:00:30
#0 11.07 ERROR: THESE PACKAGES DO NOT MATCH THE HASHES FROM THE REQUIREMENTS FILE. If you have updated the package versions, please update the hashes. Otherwise, examine the package contents carefully; someone may have tampered with them.
#0 11.07     torch>=1.6.0 from https://files.pythonhosted.org/packages/c8/21/25020cfdd9f564a72f400ee491610e50cb212e8add8031abaa959af6451e/torch-2.0.1-cp311-cp311-manylinux1_x86_64.whl (from sentence-transformers==2.2.1->-r requirements.txt (line 1)):
#0 11.07         Expected sha256 e617b1d0abaf6ced02dbb9486803abfef0d581609b09641b34fa315c9c40766d
#0 11.07              Got        90e815ec0502ca6c5070e7930f00296ea048a88a225287138e70f21cdcb645a3
------

Versions

PyTorch version: 2.0.1
Is debug build: False
CUDA used to build PyTorch: None
ROCM used to build PyTorch: N/A

OS: macOS 13.4 (x86_64)
GCC version: Could not collect
Clang version: 14.0.3 (clang-1403.0.22.14.1)
CMake version: Could not collect
Libc version: N/A

Python version: 3.11.2 (main, Feb 16 2023, 03:07:35) [Clang 14.0.0 (clang-1400.0.29.202)] (64-bit runtime)
Python platform: macOS-13.4-x86_64-i386-64bit
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
HIP runtime version: N/A
MIOpen runtime version: N/A
Is XNNPACK available: True

CPU:
Intel(R) Core(TM) i7-1068NG7 CPU @ 2.30GHz

Versions of relevant libraries:
[pip3] mypy-extensions==1.0.0
[pip3] numpy==1.25.0
[pip3] torch==2.0.1
[pip3] torchvision==0.15.2
[conda] blas 1.0 mkl
[conda] mkl 2021.2.0 hecd8cb5_269
[conda] mkl-service 2.3.0 py38h9ed2024_1
[conda] mkl_fft 1.3.0 py38h4a7008c_2
[conda] mkl_random 1.2.1 py38hb2f4e1b_2
[conda] numpy 1.18.1 pypi_0 pypi
[conda] numpydoc 1.1.0 pyhd3eb1b0_1
[conda] pytorch-lightning 1.5.8 pypi_0 pypi
[conda] pytorch-tabnet 4.0 pypi_0 pypi
[conda] torch 2.0.1 pypi_0 pypi
[conda] torchmetrics 0.7.2 pypi_0 pypi
[conda] torchvision 0.12.0 pypi_0 pypi

cc @ezyang @gchanan @zou3519 @seemethere @malfet

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