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chore: Update docker-compose files to specify platform for backend services (#2762)
This pull request updates the docker-compose files to specify the platform for the backend services as linux/amd64. This ensures that the services are built and run specifically for the amd64 architecture.
This commit is contained in:
Stan Girard
GitHub
parent
9514c0242f
commit
0f51de8f41
291
backend/poetry.lock
generated
291
backend/poetry.lock
generated
@ -402,17 +402,17 @@ uvloop = ["uvloop (>=0.15.2)"]
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[[package]]
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name = "boto3"
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version = "1.34.133"
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version = "1.34.134"
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description = "The AWS SDK for Python"
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "boto3-1.34.133-py3-none-any.whl", hash = "sha256:da7e78c03270be872ad78301892396ffea56647efcb2c3a8621ef46a905541ab"},
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{file = "boto3-1.34.133.tar.gz", hash = "sha256:7071f8ce1f09113ca5630860fd590464e6325a4df55faae83c956225941016fc"},
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{file = "boto3-1.34.134-py3-none-any.whl", hash = "sha256:342782c02ff077aae118c9c61179eed95c585831fba666baacc5588ff04aa6e1"},
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{file = "boto3-1.34.134.tar.gz", hash = "sha256:f6d6e5b0c9ab022a75373fa16c01f0cd54bc1bb64ef3b6ac64ac7cedd56cbe9c"},
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]
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[package.dependencies]
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botocore = ">=1.34.133,<1.35.0"
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botocore = ">=1.34.134,<1.35.0"
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jmespath = ">=0.7.1,<2.0.0"
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s3transfer = ">=0.10.0,<0.11.0"
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@ -421,13 +421,13 @@ crt = ["botocore[crt] (>=1.21.0,<2.0a0)"]
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[[package]]
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name = "botocore"
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version = "1.34.133"
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version = "1.34.134"
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description = "Low-level, data-driven core of boto 3."
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optional = false
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python-versions = ">=3.8"
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files = [
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{file = "botocore-1.34.133-py3-none-any.whl", hash = "sha256:f269dad8e17432d2527b97ed9f1fd30ec8dc705f8b818957170d1af484680ef2"},
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{file = "botocore-1.34.133.tar.gz", hash = "sha256:5ea609aa4831a6589e32eef052a359ad8d7311733b4d86a9d35dab4bd3ec80ff"},
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{file = "botocore-1.34.134-py3-none-any.whl", hash = "sha256:45219e00639755f92569b29f8f279d5dde721494791412c1f7026a3779e8d9f4"},
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{file = "botocore-1.34.134.tar.gz", hash = "sha256:e29c299599426ed16dd2d4c1e20eef784f96b15e1850ebbc59a3250959285b95"},
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]
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[package.dependencies]
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@ -4318,6 +4318,149 @@ files = [
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{file = "numpy-1.26.4.tar.gz", hash = "sha256:2a02aba9ed12e4ac4eb3ea9421c420301a0c6460d9830d74a9df87efa4912010"},
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]
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[[package]]
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name = "nvidia-cublas-cu12"
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version = "12.1.3.1"
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description = "CUBLAS native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
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{file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
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]
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[[package]]
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name = "nvidia-cuda-cupti-cu12"
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version = "12.1.105"
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description = "CUDA profiling tools runtime libs."
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
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{file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
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]
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[[package]]
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name = "nvidia-cuda-nvrtc-cu12"
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version = "12.1.105"
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description = "NVRTC native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
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{file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
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]
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[[package]]
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name = "nvidia-cuda-runtime-cu12"
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version = "12.1.105"
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description = "CUDA Runtime native Libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
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{file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
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]
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[[package]]
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name = "nvidia-cudnn-cu12"
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version = "8.9.2.26"
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description = "cuDNN runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
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]
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[package.dependencies]
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nvidia-cublas-cu12 = "*"
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[[package]]
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name = "nvidia-cufft-cu12"
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version = "11.0.2.54"
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description = "CUFFT native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
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{file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
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]
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[[package]]
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name = "nvidia-curand-cu12"
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version = "10.3.2.106"
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description = "CURAND native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
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{file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
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]
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[[package]]
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name = "nvidia-cusolver-cu12"
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version = "11.4.5.107"
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description = "CUDA solver native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
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{file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
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]
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[package.dependencies]
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nvidia-cublas-cu12 = "*"
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nvidia-cusparse-cu12 = "*"
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-cusparse-cu12"
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version = "12.1.0.106"
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description = "CUSPARSE native runtime libraries"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
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{file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
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]
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[package.dependencies]
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nvidia-nvjitlink-cu12 = "*"
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[[package]]
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name = "nvidia-nccl-cu12"
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version = "2.20.5"
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description = "NVIDIA Collective Communication Library (NCCL) Runtime"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_aarch64.whl", hash = "sha256:1fc150d5c3250b170b29410ba682384b14581db722b2531b0d8d33c595f33d01"},
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{file = "nvidia_nccl_cu12-2.20.5-py3-none-manylinux2014_x86_64.whl", hash = "sha256:057f6bf9685f75215d0c53bf3ac4a10b3e6578351de307abad9e18a99182af56"},
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]
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[[package]]
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name = "nvidia-nvjitlink-cu12"
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version = "12.5.40"
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description = "Nvidia JIT LTO Library"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_aarch64.whl", hash = "sha256:004186d5ea6a57758fd6d57052a123c73a4815adf365eb8dd6a85c9eaa7535ff"},
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{file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-manylinux2014_x86_64.whl", hash = "sha256:d9714f27c1d0f0895cd8915c07a87a1d0029a0aa36acaf9156952ec2a8a12189"},
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{file = "nvidia_nvjitlink_cu12-12.5.40-py3-none-win_amd64.whl", hash = "sha256:c3401dc8543b52d3a8158007a0c1ab4e9c768fcbd24153a48c86972102197ddd"},
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]
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[[package]]
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name = "nvidia-nvtx-cu12"
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version = "12.1.105"
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description = "NVIDIA Tools Extension"
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optional = false
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python-versions = ">=3"
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files = [
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{file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
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{file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
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]
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[[package]]
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name = "oauthlib"
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version = "3.2.2"
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@ -4448,13 +4591,13 @@ sympy = "*"
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[[package]]
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name = "openai"
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version = "1.35.4"
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version = "1.35.5"
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description = "The official Python library for the openai API"
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optional = false
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python-versions = ">=3.7.1"
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files = [
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{file = "openai-1.35.4-py3-none-any.whl", hash = "sha256:894b79c485fae2df3a6b68ceb570730e5a480c08bccc32a412cf3be2d4eb1384"},
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{file = "openai-1.35.4.tar.gz", hash = "sha256:b58a0d6257c5c86e85b9b2f43e6eed04ada616560df9da0dca6697d06845e7c8"},
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{file = "openai-1.35.5-py3-none-any.whl", hash = "sha256:28d92503c6e4b6a32a89277b36693023ef41f60922a4b5c8c621e8c5697ae3a6"},
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{file = "openai-1.35.5.tar.gz", hash = "sha256:67ef289ae22d350cbf9381d83ae82c4e3596d71b7ad1cc886143554ee12fe0c9"},
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]
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[package.dependencies]
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@ -6483,13 +6626,13 @@ websockets = ">=11,<13"
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[[package]]
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name = "redis"
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version = "5.0.6"
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version = "5.0.7"
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description = "Python client for Redis database and key-value store"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "redis-5.0.6-py3-none-any.whl", hash = "sha256:c0d6d990850c627bbf7be01c5c4cbaadf67b48593e913bb71c9819c30df37eee"},
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{file = "redis-5.0.6.tar.gz", hash = "sha256:38473cd7c6389ad3e44a91f4c3eaf6bcb8a9f746007f29bf4fb20824ff0b2197"},
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{file = "redis-5.0.7-py3-none-any.whl", hash = "sha256:0e479e24da960c690be5d9b96d21f7b918a98c0cf49af3b6fafaa0753f93a0db"},
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{file = "redis-5.0.7.tar.gz", hash = "sha256:8f611490b93c8109b50adc317b31bfd84fff31def3475b92e7e80bf39f48175b"},
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]
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[package.dependencies]
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@ -7143,13 +7286,13 @@ sqlcipher = ["sqlcipher3_binary"]
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[[package]]
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name = "sqlglot"
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version = "25.3.1"
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version = "25.3.3"
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description = "An easily customizable SQL parser and transpiler"
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optional = false
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python-versions = ">=3.7"
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files = [
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{file = "sqlglot-25.3.1-py3-none-any.whl", hash = "sha256:a2b966d044b3eaa084c0f661d5fccf0f286290fa0e8a784423655e8aa5f4cfef"},
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{file = "sqlglot-25.3.1.tar.gz", hash = "sha256:0055c0f6ab9419306a0ebd45bbb46842263af8db209b554ff89e88ab2f09c03d"},
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{file = "sqlglot-25.3.3-py3-none-any.whl", hash = "sha256:678adad59a01ce58a7f33463b907dcdb43a0309caa5d55d6ac0af33acf698494"},
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{file = "sqlglot-25.3.3.tar.gz", hash = "sha256:6b9a4c740fb8c78509eb3f51ab1d79f7c4ab3dc9d274251007acdd85faf4aeeb"},
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]
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[package.dependencies]
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@ -7645,6 +7788,60 @@ dev = ["tokenizers[testing]"]
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docs = ["setuptools-rust", "sphinx", "sphinx-rtd-theme"]
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testing = ["black (==22.3)", "datasets", "numpy", "pytest", "requests", "ruff"]
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[[package]]
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name = "torch"
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version = "2.3.1"
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description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
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optional = false
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python-versions = ">=3.8.0"
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files = [
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{file = "torch-2.3.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:605a25b23944be5ab7c3467e843580e1d888b8066e5aaf17ff7bf9cc30001cc3"},
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{file = "torch-2.3.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:f2357eb0965583a0954d6f9ad005bba0091f956aef879822274b1bcdb11bd308"},
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{file = "torch-2.3.1-cp310-cp310-win_amd64.whl", hash = "sha256:32b05fe0d1ada7f69c9f86c14ff69b0ef1957a5a54199bacba63d22d8fab720b"},
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{file = "torch-2.3.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:7c09a94362778428484bcf995f6004b04952106aee0ef45ff0b4bab484f5498d"},
|
||||
{file = "torch-2.3.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:b2ec81b61bb094ea4a9dee1cd3f7b76a44555375719ad29f05c0ca8ef596ad39"},
|
||||
{file = "torch-2.3.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:490cc3d917d1fe0bd027057dfe9941dc1d6d8e3cae76140f5dd9a7e5bc7130ab"},
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||||
{file = "torch-2.3.1-cp311-cp311-win_amd64.whl", hash = "sha256:5802530783bd465fe66c2df99123c9a54be06da118fbd785a25ab0a88123758a"},
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{file = "torch-2.3.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:a7dd4ed388ad1f3d502bf09453d5fe596c7b121de7e0cfaca1e2017782e9bbac"},
|
||||
{file = "torch-2.3.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:a486c0b1976a118805fc7c9641d02df7afbb0c21e6b555d3bb985c9f9601b61a"},
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{file = "torch-2.3.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:224259821fe3e4c6f7edf1528e4fe4ac779c77addaa74215eb0b63a5c474d66c"},
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||||
{file = "torch-2.3.1-cp312-cp312-win_amd64.whl", hash = "sha256:e5fdccbf6f1334b2203a61a0e03821d5845f1421defe311dabeae2fc8fbeac2d"},
|
||||
{file = "torch-2.3.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:3c333dc2ebc189561514eda06e81df22bf8fb64e2384746b2cb9f04f96d1d4c8"},
|
||||
{file = "torch-2.3.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:07e9ba746832b8d069cacb45f312cadd8ad02b81ea527ec9766c0e7404bb3feb"},
|
||||
{file = "torch-2.3.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:462d1c07dbf6bb5d9d2f3316fee73a24f3d12cd8dacf681ad46ef6418f7f6626"},
|
||||
{file = "torch-2.3.1-cp38-cp38-win_amd64.whl", hash = "sha256:ff60bf7ce3de1d43ad3f6969983f321a31f0a45df3690921720bcad6a8596cc4"},
|
||||
{file = "torch-2.3.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:bee0bd33dc58aa8fc8a7527876e9b9a0e812ad08122054a5bff2ce5abf005b10"},
|
||||
{file = "torch-2.3.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:aaa872abde9a3d4f91580f6396d54888620f4a0b92e3976a6034759df4b961ad"},
|
||||
{file = "torch-2.3.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:3d7a7f7ef21a7520510553dc3938b0c57c116a7daee20736a9e25cbc0e832bdc"},
|
||||
{file = "torch-2.3.1-cp39-cp39-win_amd64.whl", hash = "sha256:4777f6cefa0c2b5fa87223c213e7b6f417cf254a45e5829be4ccd1b2a4ee1011"},
|
||||
{file = "torch-2.3.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:2bb5af780c55be68fe100feb0528d2edebace1d55cb2e351de735809ba7391eb"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
fsspec = "*"
|
||||
jinja2 = "*"
|
||||
mkl = {version = ">=2021.1.1,<=2021.4.0", markers = "platform_system == \"Windows\""}
|
||||
networkx = "*"
|
||||
nvidia-cublas-cu12 = {version = "12.1.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cuda-cupti-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cuda-nvrtc-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cuda-runtime-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cudnn-cu12 = {version = "8.9.2.26", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cufft-cu12 = {version = "11.0.2.54", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-curand-cu12 = {version = "10.3.2.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cusolver-cu12 = {version = "11.4.5.107", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-cusparse-cu12 = {version = "12.1.0.106", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-nccl-cu12 = {version = "2.20.5", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
nvidia-nvtx-cu12 = {version = "12.1.105", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
|
||||
sympy = "*"
|
||||
triton = {version = "2.3.1", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\" and python_version < \"3.12\""}
|
||||
typing-extensions = ">=4.8.0"
|
||||
|
||||
[package.extras]
|
||||
opt-einsum = ["opt-einsum (>=3.3)"]
|
||||
optree = ["optree (>=0.9.1)"]
|
||||
|
||||
[[package]]
|
||||
name = "torch"
|
||||
version = "2.3.1+cpu"
|
||||
@ -7682,6 +7879,43 @@ type = "legacy"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
reference = "pytorch-cpu-src"
|
||||
|
||||
[[package]]
|
||||
name = "torchvision"
|
||||
version = "0.18.1"
|
||||
description = "image and video datasets and models for torch deep learning"
|
||||
optional = false
|
||||
python-versions = ">=3.8"
|
||||
files = [
|
||||
{file = "torchvision-0.18.1-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:3e694e54b0548dad99c12af6bf0c8e4f3350137d391dcd19af22a1c5f89322b3"},
|
||||
{file = "torchvision-0.18.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:0b3bda0aa5b416eeb547143b8eeaf17720bdba9cf516dc991aacb81811aa96a5"},
|
||||
{file = "torchvision-0.18.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:573ff523c739405edb085f65cb592f482d28a30e29b0be4c4ba08040b3ae785f"},
|
||||
{file = "torchvision-0.18.1-cp310-cp310-win_amd64.whl", hash = "sha256:ef7bbbc60b38e831a75e547c66ca1784f2ac27100f9e4ddbe9614cef6cbcd942"},
|
||||
{file = "torchvision-0.18.1-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:80b5d794dd0fdba787adc22f1a367a5ead452327686473cb260dd94364bc56a6"},
|
||||
{file = "torchvision-0.18.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:9077cf590cdb3a5e8fdf5cdb71797f8c67713f974cf0228ecb17fcd670ab42f9"},
|
||||
{file = "torchvision-0.18.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:ceb993a882f1ae7ae373ed39c28d7e3e802205b0e59a7ed84ef4028f0bba8d7f"},
|
||||
{file = "torchvision-0.18.1-cp311-cp311-win_amd64.whl", hash = "sha256:52f7436140045dc2239cdc502aa76b2bd8bd676d64244ff154d304aa69852046"},
|
||||
{file = "torchvision-0.18.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:2be6f0bf7c455c89a51a1dbb6f668d36c6edc479f49ac912d745d10df5715657"},
|
||||
{file = "torchvision-0.18.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:f118d887bfde3a948a41d56587525401e5cac1b7db2eaca203324d6ed2b1caca"},
|
||||
{file = "torchvision-0.18.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:13d24d904f65e62d66a1e0c41faec630bc193867b8a4a01166769e8a8e8df8e9"},
|
||||
{file = "torchvision-0.18.1-cp312-cp312-win_amd64.whl", hash = "sha256:ed6340b69a63a625e512a66127210d412551d9c5f2ad2978130c6a45bf56cd4a"},
|
||||
{file = "torchvision-0.18.1-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:b1c3864fa9378c88bce8ad0ef3599f4f25397897ce612e1c245c74b97092f35e"},
|
||||
{file = "torchvision-0.18.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:02085a2ffc7461f5c0edb07d6f3455ee1806561f37736b903da820067eea58c7"},
|
||||
{file = "torchvision-0.18.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:9726c316a2501df8503e5a5dc46a631afd4c515a958972e5b7f7b9c87d2125c0"},
|
||||
{file = "torchvision-0.18.1-cp38-cp38-win_amd64.whl", hash = "sha256:64a2662dbf30db9055d8b201d6e56f312a504e5ccd9d144c57c41622d3c524cb"},
|
||||
{file = "torchvision-0.18.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:975b8594c0f5288875408acbb74946eea786c5b008d129c0d045d0ead23742bc"},
|
||||
{file = "torchvision-0.18.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:da83c8bbd34d8bee48bfa1d1b40e0844bc3cba10ed825a5a8cbe3ce7b62264cd"},
|
||||
{file = "torchvision-0.18.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:54bfcd352abb396d5c9c237d200167c178bd136051b138e1e8ef46ce367c2773"},
|
||||
{file = "torchvision-0.18.1-cp39-cp39-win_amd64.whl", hash = "sha256:5c8366a1aeee49e9ea9e64b30d199debdf06b1bd7610a76165eb5d7869c3bde5"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
numpy = "*"
|
||||
pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
|
||||
torch = "2.3.1"
|
||||
|
||||
[package.extras]
|
||||
scipy = ["scipy"]
|
||||
|
||||
[[package]]
|
||||
name = "torchvision"
|
||||
version = "0.18.1+cpu"
|
||||
@ -7835,6 +8069,29 @@ torchhub = ["filelock", "huggingface-hub (>=0.23.0,<1.0)", "importlib-metadata",
|
||||
video = ["av (==9.2.0)", "decord (==0.6.0)"]
|
||||
vision = ["Pillow (>=10.0.1,<=15.0)"]
|
||||
|
||||
[[package]]
|
||||
name = "triton"
|
||||
version = "2.3.1"
|
||||
description = "A language and compiler for custom Deep Learning operations"
|
||||
optional = false
|
||||
python-versions = "*"
|
||||
files = [
|
||||
{file = "triton-2.3.1-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:3c84595cbe5e546b1b290d2a58b1494df5a2ef066dd890655e5b8a8a92205c33"},
|
||||
{file = "triton-2.3.1-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c9d64ae33bcb3a7a18081e3a746e8cf87ca8623ca13d2c362413ce7a486f893e"},
|
||||
{file = "triton-2.3.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:eaf80e8761a9e3498aa92e7bf83a085b31959c61f5e8ac14eedd018df6fccd10"},
|
||||
{file = "triton-2.3.1-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b13bf35a2b659af7159bf78e92798dc62d877aa991de723937329e2d382f1991"},
|
||||
{file = "triton-2.3.1-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:63381e35ded3304704ea867ffde3b7cfc42c16a55b3062d41e017ef510433d66"},
|
||||
{file = "triton-2.3.1-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:1d968264523c7a07911c8fb51b4e0d1b920204dae71491b1fe7b01b62a31e124"},
|
||||
]
|
||||
|
||||
[package.dependencies]
|
||||
filelock = "*"
|
||||
|
||||
[package.extras]
|
||||
build = ["cmake (>=3.20)", "lit"]
|
||||
tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
|
||||
tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
|
||||
|
||||
[[package]]
|
||||
name = "typer"
|
||||
version = "0.12.3"
|
||||
@ -8881,4 +9138,4 @@ test = ["big-O", "importlib-resources", "jaraco.functools", "jaraco.itertools",
|
||||
[metadata]
|
||||
lock-version = "2.0"
|
||||
python-versions = "^3.11"
|
||||
content-hash = "78c0c14b528c781fde9375a418818a230e14eb634e2efc9ece6db960ac44ff9a"
|
||||
content-hash = "651d9772cc89c976c7107717e381a236be0bb7849c2d29dac16ffc6a64d3b10e"
|
||||
|
||||
@ -51,8 +51,18 @@ filterwarnings = ["ignore::DeprecationWarning"]
|
||||
|
||||
[tool.poetry.dependencies]
|
||||
python = "^3.11"
|
||||
torch = { version = "^2.3.1+cpu", source = "pytorch-cpu-src" }
|
||||
torchvision = { version = "^0.18.1+cpu", source = "pytorch-cpu-src" }
|
||||
torch = [
|
||||
{ version = "2.3.1", source = "pypi", platform = "darwin" },
|
||||
{ version = "2.3.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" },
|
||||
{ version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" },
|
||||
{ version = "2.3.1+cpu", source = "pytorch-cpu-src", platform = "win32" },
|
||||
]
|
||||
torchvision = [
|
||||
{ version = "0.18.1", source = "pypi", platform = "darwin" },
|
||||
{ version = "0.18.1", source = "pypi", platform = "linux", markers = "platform_machine != 'x86_64'" },
|
||||
{ version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "linux", markers = "platform_machine == 'x86_64'" },
|
||||
{ version = "0.18.1+cpu", source = "pytorch-cpu-src", platform = "win32" },
|
||||
]
|
||||
langchain = "*"
|
||||
litellm = "*"
|
||||
openai = "*"
|
||||
@ -133,3 +143,4 @@ pytest-celery = "*"
|
||||
name = "pytorch-cpu-src"
|
||||
url = "https://download.pytorch.org/whl/cpu"
|
||||
priority = "explicit"
|
||||
|
||||
|
||||
@ -29,7 +29,6 @@ services:
|
||||
- "--log-level"
|
||||
- "info"
|
||||
restart: always
|
||||
|
||||
ports:
|
||||
- 5050:5050
|
||||
- 5678:5678 # debug port
|
||||
@ -53,7 +52,7 @@ services:
|
||||
container_name: worker
|
||||
volumes:
|
||||
- ./backend/:/code/
|
||||
command: "watchfiles 'celery -A backend.celery_worker worker -l info' "
|
||||
command: "celery -A backend.celery_worker worker -l info"
|
||||
restart: always
|
||||
depends_on:
|
||||
- redis
|
||||
@ -65,7 +64,6 @@ services:
|
||||
- "host.docker.internal:host-gateway"
|
||||
env_file:
|
||||
- .env
|
||||
|
||||
container_name: beat
|
||||
command: celery -A backend.celery_worker beat -l info
|
||||
volumes:
|
||||
|
||||
Loading…
Reference in New Issue
Block a user