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wyzely-detect
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Added dependency markers for MacOS

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slashtechno 2024-03-25 15:44:41 -04:00
parent 2a786411f7
commit 2e021feac5
Signed by: slashtechno
GPG Key ID: 8EC1D9D9286C2B17
2 changed files with 67 additions and 8 deletions
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66
poetry.lock generated
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@ -1,4 +1,4 @@
# This file is automatically @generated by Poetry 1.8.2 and should not be changed by hand. # This file is automatically @generated by Poetry 1.7.1 and should not be changed by hand.
[[package]] [[package]]
name = "absl-py" name = "absl-py"
@ -2046,6 +2046,7 @@ description = "Nvidia JIT LTO Library"
optional = false optional = false
python-versions = ">=3" python-versions = ">=3"
files = [ files = [
{file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_aarch64.whl", hash = "sha256:75d6498c96d9adb9435f2bbdbddb479805ddfb97b5c1b32395c694185c20ca57"},
{file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c6428836d20fe7e327191c175791d38570e10762edc588fb46749217cd444c74"}, {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-manylinux2014_x86_64.whl", hash = "sha256:c6428836d20fe7e327191c175791d38570e10762edc588fb46749217cd444c74"},
{file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-win_amd64.whl", hash = "sha256:991905ffa2144cb603d8ca7962d75c35334ae82bf92820b6ba78157277da1ad2"}, {file = "nvidia_nvjitlink_cu12-12.4.99-py3-none-win_amd64.whl", hash = "sha256:991905ffa2144cb603d8ca7962d75c35334ae82bf92820b6ba78157277da1ad2"},
] ]
@ -2096,8 +2097,8 @@ files = [
[package.dependencies] [package.dependencies]
numpy = [ numpy = [
{version = ">=1.23.5", markers = "python_version >= \"3.11\""}, {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
{version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""}, {version = ">=1.21.4", markers = "python_version >= \"3.10\" and platform_system == \"Darwin\" and python_version < \"3.11\""},
{version = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
] ]
[[package]] [[package]]
@ -2631,7 +2632,6 @@ files = [
{file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"}, {file = "PyYAML-6.0.1-cp311-cp311-win_amd64.whl", hash = "sha256:bf07ee2fef7014951eeb99f56f39c9bb4af143d8aa3c21b1677805985307da34"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_10_9_x86_64.whl", hash = "sha256:855fb52b0dc35af121542a76b9a84f8d1cd886ea97c84703eaa6d88e37a2ad28"},
{file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"}, {file = "PyYAML-6.0.1-cp312-cp312-macosx_11_0_arm64.whl", hash = "sha256:40df9b996c2b73138957fe23a16a4f0ba614f4c0efce1e9406a184b6d07fa3a9"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a08c6f0fe150303c1c6b71ebcd7213c2858041a7e01975da3a99aed1e7a378ef"},
{file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"}, {file = "PyYAML-6.0.1-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:6c22bec3fbe2524cde73d7ada88f6566758a8f7227bfbf93a408a9d86bcc12a0"},
{file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"}, {file = "PyYAML-6.0.1-cp312-cp312-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
{file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"}, {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@ -3436,6 +3436,64 @@ files = [
{file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"}, {file = "tomli-2.0.1.tar.gz", hash = "sha256:de526c12914f0c550d15924c62d72abc48d6fe7364aa87328337a31007fe8a4f"},
] ]
[[package]]
name = "torch"
version = "2.2.1"
description = "Tensors and Dynamic neural networks in Python with strong GPU acceleration"
optional = false
python-versions = ">=3.8.0"
files = [
{file = "torch-2.2.1-cp310-cp310-manylinux1_x86_64.whl", hash = "sha256:8d3bad336dd2c93c6bcb3268e8e9876185bda50ebde325ef211fb565c7d15273"},
{file = "torch-2.2.1-cp310-cp310-manylinux2014_aarch64.whl", hash = "sha256:5297f13370fdaca05959134b26a06a7f232ae254bf2e11a50eddec62525c9006"},
{file = "torch-2.2.1-cp310-cp310-win_amd64.whl", hash = "sha256:5f5dee8433798888ca1415055f5e3faf28a3bad660e4c29e1014acd3275ab11a"},
{file = "torch-2.2.1-cp310-none-macosx_10_9_x86_64.whl", hash = "sha256:b6d78338acabf1fb2e88bf4559d837d30230cf9c3e4337261f4d83200df1fcbe"},
{file = "torch-2.2.1-cp310-none-macosx_11_0_arm64.whl", hash = "sha256:6ab3ea2e29d1aac962e905142bbe50943758f55292f1b4fdfb6f4792aae3323e"},
{file = "torch-2.2.1-cp311-cp311-manylinux1_x86_64.whl", hash = "sha256:d86664ec85902967d902e78272e97d1aff1d331f7619d398d3ffab1c9b8e9157"},
{file = "torch-2.2.1-cp311-cp311-manylinux2014_aarch64.whl", hash = "sha256:d6227060f268894f92c61af0a44c0d8212e19cb98d05c20141c73312d923bc0a"},
{file = "torch-2.2.1-cp311-cp311-win_amd64.whl", hash = "sha256:77e990af75fb1675490deb374d36e726f84732cd5677d16f19124934b2409ce9"},
{file = "torch-2.2.1-cp311-none-macosx_10_9_x86_64.whl", hash = "sha256:46085e328d9b738c261f470231e987930f4cc9472d9ffb7087c7a1343826ac51"},
{file = "torch-2.2.1-cp311-none-macosx_11_0_arm64.whl", hash = "sha256:2d9e7e5ecbb002257cf98fae13003abbd620196c35f85c9e34c2adfb961321ec"},
{file = "torch-2.2.1-cp312-cp312-manylinux1_x86_64.whl", hash = "sha256:ada53aebede1c89570e56861b08d12ba4518a1f8b82d467c32665ec4d1f4b3c8"},
{file = "torch-2.2.1-cp312-cp312-manylinux2014_aarch64.whl", hash = "sha256:be21d4c41ecebed9e99430dac87de1439a8c7882faf23bba7fea3fea7b906ac1"},
{file = "torch-2.2.1-cp312-cp312-win_amd64.whl", hash = "sha256:79848f46196750367dcdf1d2132b722180b9d889571e14d579ae82d2f50596c5"},
{file = "torch-2.2.1-cp312-none-macosx_10_9_x86_64.whl", hash = "sha256:7ee804847be6be0032fbd2d1e6742fea2814c92bebccb177f0d3b8e92b2d2b18"},
{file = "torch-2.2.1-cp312-none-macosx_11_0_arm64.whl", hash = "sha256:84b2fb322ab091039fdfe74e17442ff046b258eb5e513a28093152c5b07325a7"},
{file = "torch-2.2.1-cp38-cp38-manylinux1_x86_64.whl", hash = "sha256:5c0c83aa7d94569997f1f474595e808072d80b04d34912ce6f1a0e1c24b0c12a"},
{file = "torch-2.2.1-cp38-cp38-manylinux2014_aarch64.whl", hash = "sha256:91a1b598055ba06b2c386415d2e7f6ac818545e94c5def597a74754940188513"},
{file = "torch-2.2.1-cp38-cp38-win_amd64.whl", hash = "sha256:8f93ddf3001ecec16568390b507652644a3a103baa72de3ad3b9c530e3277098"},
{file = "torch-2.2.1-cp38-none-macosx_10_9_x86_64.whl", hash = "sha256:0e8bdd4c77ac2584f33ee14c6cd3b12767b4da508ec4eed109520be7212d1069"},
{file = "torch-2.2.1-cp38-none-macosx_11_0_arm64.whl", hash = "sha256:6a21bcd7076677c97ca7db7506d683e4e9db137e8420eb4a68fb67c3668232a7"},
{file = "torch-2.2.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:f1b90ac61f862634039265cd0f746cc9879feee03ff962c803486301b778714b"},
{file = "torch-2.2.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:ed9e29eb94cd493b36bca9cb0b1fd7f06a0688215ad1e4b3ab4931726e0ec092"},
{file = "torch-2.2.1-cp39-cp39-win_amd64.whl", hash = "sha256:c47bc25744c743f3835831a20efdcfd60aeb7c3f9804a213f61e45803d16c2a5"},
{file = "torch-2.2.1-cp39-none-macosx_10_9_x86_64.whl", hash = "sha256:0952549bcb43448c8d860d5e3e947dd18cbab491b14638e21750cb3090d5ad3e"},
{file = "torch-2.2.1-cp39-none-macosx_11_0_arm64.whl", hash = "sha256:26bd2272ec46fc62dcf7d24b2fb284d44fcb7be9d529ebf336b9860350d674ed"},
]
[package.dependencies]
filelock = "*"
fsspec = "*"
jinja2 = "*"
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 = "2.19.3", 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 = "2.2.0", 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]] [[package]]
name = "torch" name = "torch"
version = "2.2.1+cpu" version = "2.2.1+cpu"
@ -3855,4 +3913,4 @@ cuda = []
[metadata] [metadata]
lock-version = "2.0" lock-version = "2.0"
python-versions = ">=3.10, <3.12" python-versions = ">=3.10, <3.12"
content-hash = "9ac2036a11ad1ed50d37b455539316efdeed714e6d5e8b9b001a85a2f753b37b" content-hash = "08f119f82104dc3a278d84471594cc92b54bcf22a432aeccabae411956bc6936"

7
pyproject.toml
View File

@ -25,8 +25,8 @@ numpy = "^1.23.2"
# If GPU support doesn't work, `poetry install -E cuda --with gpu` will force it to be installed from the GPU PyTorch repo # If GPU support doesn't work, `poetry install -E cuda --with gpu` will force it to be installed from the GPU PyTorch repo
# However, PyPi's `torch` has CUDA 12.1 support by default on Linux, so in that case it should not be needed. # However, PyPi's `torch` has CUDA 12.1 support by default on Linux, so in that case it should not be needed.
torch = [ torch = [
{version = "^2.2.1", markers = "extra!='cuda' and platform_system=='Linux'"}, {version = "^2.2.1", source = "pypi", markers = "extra!='cuda' and (platform_system=='Linux' or platform_system=='Darwin')"},
{version = "^2.2.1", source = "pytorch-cpu", markers = "extra!='cuda' and platform_system!='Linux'"}, {version = "^2.2.1", source = "pytorch-cpu", markers = "extra!='cuda' and platform_system=='Windows'"},
] ]
# https://stackoverflow.com/a/76477590/18270659 # https://stackoverflow.com/a/76477590/18270659
# https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4 # https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
@ -39,6 +39,7 @@ torch = [
# Installed from Nvidia website - nvidia-cuda-toolkit is not installed, but default PopOS drivers are installed # Installed from Nvidia website - nvidia-cuda-toolkit is not installed, but default PopOS drivers are installed
absl-py = "^2.1.0" absl-py = "^2.1.0"
tensorflow = {version = "^2.13.0", markers = "extra!='cuda'"} tensorflow = {version = "^2.13.0", markers = "extra!='cuda'"}
# TODO: Change platform to markers
tensorflow-macos = { version = "^2.13.0", platform = "darwin", markers = "platform_machine=='arm64'" } tensorflow-macos = { version = "^2.13.0", platform = "darwin", markers = "platform_machine=='arm64'" }
tensorflow-intel = { version = "^2.13.0", platform = "win32" } tensorflow-intel = { version = "^2.13.0", platform = "win32" }
tensorflow-io-gcs-filesystem = [ tensorflow-io-gcs-filesystem = [
@ -55,7 +56,7 @@ optional = true
[tool.poetry.group.gpu.dependencies] [tool.poetry.group.gpu.dependencies]
torch = {version = "^2.2.1", source = "pytorch-cu121", markers = "extra=='cuda'"} torch = {version = "^2.2.1", source = "pytorch-cu121", markers = "extra=='cuda'"}
tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"} tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda' and platform_system == 'Linux'"}
[tool.poetry.extras] [tool.poetry.extras]
# Might be better to rename this to nocpu since it's more accurate # Might be better to rename this to nocpu since it's more accurate