.dockerignore

@@ -1,6 +1,3 @@
 Dockerfile
 .venv
-docker-compose.yml
+docker-compose.yml
-*.ipnyb
-dist/
-*.pkl

Dockerfile

@@ -13,7 +13,7 @@ COPY . .
 
 RUN poetry install
 
-# RUN poetry run pip uninstall -y torchvision 
+RUN poetry run pip uninstall -y torchvision 
-# RUN poetry run pip install torchvision 
+RUN poetry run pip install torchvision 
 
 ENTRYPOINT ["poetry", "run", "python", "-m", "--", "wyzely_detect", "--no-display"]

docker-compose.yml

@@ -38,7 +38,7 @@ services:
         all:
     wyzely-detect:
       container_name: wyzely-detect
-      restart: unless-stopped 
+      # restart: unless-stopped 
       # image: ghcr.io/slashtechno/wyzely-detect:latest
       # Building from source is also an option
       build:
@@ -60,6 +60,10 @@ services:
         - ./faces:/app/faces
       networks:
         all:
+      environment:
+        - URL=rtsp://bridge:8554/cv
+        - NO_DISPLAY=true
+        - NTFY_URL=http://ntfy:80/wyzely-detect
       depends_on:
         - bridge
 

poetry.lock

@@ -1817,17 +1817,6 @@ files = [
     {file = "nvidia_cublas_cu11-11.11.3.6-py3-none-win_amd64.whl", hash = "sha256:6ab12b1302bef8ac1ff4414edd1c059e57f4833abef9151683fb8f4de25900be"},
 ]
 
-[[package]]
-name = "nvidia-cublas-cu12"
-version = "12.1.3.1"
-description = "CUBLAS native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-manylinux1_x86_64.whl", hash = "sha256:ee53ccca76a6fc08fb9701aa95b6ceb242cdaab118c3bb152af4e579af792728"},
-    {file = "nvidia_cublas_cu12-12.1.3.1-py3-none-win_amd64.whl", hash = "sha256:2b964d60e8cf11b5e1073d179d85fa340c120e99b3067558f3cf98dd69d02906"},
-]
-
 [[package]]
 name = "nvidia-cuda-cupti-cu11"
 version = "11.8.87"
@@ -1839,17 +1828,6 @@ files = [
     {file = "nvidia_cuda_cupti_cu11-11.8.87-py3-none-win_amd64.whl", hash = "sha256:4332d8550ad5f5b673f98d08e4e4f82030cb604c66d8d5ee919399ea01312e58"},
 ]
 
-[[package]]
-name = "nvidia-cuda-cupti-cu12"
-version = "12.1.105"
-description = "CUDA profiling tools runtime libs."
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:e54fde3983165c624cb79254ae9818a456eb6e87a7fd4d56a2352c24ee542d7e"},
-    {file = "nvidia_cuda_cupti_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:bea8236d13a0ac7190bd2919c3e8e6ce1e402104276e6f9694479e48bb0eb2a4"},
-]
-
 [[package]]
 name = "nvidia-cuda-nvcc-cu11"
 version = "11.8.89"
@@ -1861,17 +1839,6 @@ files = [
     {file = "nvidia_cuda_nvcc_cu11-11.8.89-py3-none-win_amd64.whl", hash = "sha256:bcfb622d2449982812eb0fa43b3de0593e877edd33790f423a228ed1be62378c"},
 ]
 
-[[package]]
-name = "nvidia-cuda-nvrtc-cu12"
-version = "12.1.105"
-description = "NVRTC native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:339b385f50c309763ca65456ec75e17bbefcbbf2893f462cb8b90584cd27a1c2"},
-    {file = "nvidia_cuda_nvrtc_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:0a98a522d9ff138b96c010a65e145dc1b4850e9ecb75a0172371793752fd46ed"},
-]
-
 [[package]]
 name = "nvidia-cuda-runtime-cu11"
 version = "11.8.89"
@@ -1883,17 +1850,6 @@ files = [
     {file = "nvidia_cuda_runtime_cu11-11.8.89-py3-none-win_amd64.whl", hash = "sha256:f60c9fdaed8065b38de8097867240efc5556a8a710007146daeb9082334a6e63"},
 ]
 
-[[package]]
-name = "nvidia-cuda-runtime-cu12"
-version = "12.1.105"
-description = "CUDA Runtime native Libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:6e258468ddf5796e25f1dc591a31029fa317d97a0a94ed93468fc86301d61e40"},
-    {file = "nvidia_cuda_runtime_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:dfb46ef84d73fababab44cf03e3b83f80700d27ca300e537f85f636fac474344"},
-]
-
 [[package]]
 name = "nvidia-cudnn-cu11"
 version = "8.7.0.84"
@@ -1907,19 +1863,6 @@ files = [
 [package.dependencies]
 nvidia-cublas-cu11 = "*"
 
-[[package]]
-name = "nvidia-cudnn-cu12"
-version = "8.9.2.26"
-description = "cuDNN runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cudnn_cu12-8.9.2.26-py3-none-manylinux1_x86_64.whl", hash = "sha256:5ccb288774fdfb07a7e7025ffec286971c06d8d7b4fb162525334616d7629ff9"},
-]
-
-[package.dependencies]
-nvidia-cublas-cu12 = "*"
-
 [[package]]
 name = "nvidia-cufft-cu11"
 version = "10.9.0.58"
@@ -1931,17 +1874,6 @@ files = [
     {file = "nvidia_cufft_cu11-10.9.0.58-py3-none-win_amd64.whl", hash = "sha256:c4d316f17c745ec9c728e30409612eaf77a8404c3733cdf6c9c1569634d1ca03"},
 ]
 
-[[package]]
-name = "nvidia-cufft-cu12"
-version = "11.0.2.54"
-description = "CUFFT native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-manylinux1_x86_64.whl", hash = "sha256:794e3948a1aa71fd817c3775866943936774d1c14e7628c74f6f7417224cdf56"},
-    {file = "nvidia_cufft_cu12-11.0.2.54-py3-none-win_amd64.whl", hash = "sha256:d9ac353f78ff89951da4af698f80870b1534ed69993f10a4cf1d96f21357e253"},
-]
-
 [[package]]
 name = "nvidia-curand-cu11"
 version = "10.3.0.86"
@@ -1953,17 +1885,6 @@ files = [
     {file = "nvidia_curand_cu11-10.3.0.86-py3-none-win_amd64.whl", hash = "sha256:8fa8365065fc3e3760d7437b08f164a6bcf8f7124f3b544d2463ded01e6bdc70"},
 ]
 
-[[package]]
-name = "nvidia-curand-cu12"
-version = "10.3.2.106"
-description = "CURAND native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:9d264c5036dde4e64f1de8c50ae753237c12e0b1348738169cd0f8a536c0e1e0"},
-    {file = "nvidia_curand_cu12-10.3.2.106-py3-none-win_amd64.whl", hash = "sha256:75b6b0c574c0037839121317e17fd01f8a69fd2ef8e25853d826fec30bdba74a"},
-]
-
 [[package]]
 name = "nvidia-cusolver-cu11"
 version = "11.4.1.48"
@@ -1978,22 +1899,6 @@ files = [
 [package.dependencies]
 nvidia-cublas-cu11 = "*"
 
-[[package]]
-name = "nvidia-cusolver-cu12"
-version = "11.4.5.107"
-description = "CUDA solver native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-manylinux1_x86_64.whl", hash = "sha256:8a7ec542f0412294b15072fa7dab71d31334014a69f953004ea7a118206fe0dd"},
-    {file = "nvidia_cusolver_cu12-11.4.5.107-py3-none-win_amd64.whl", hash = "sha256:74e0c3a24c78612192a74fcd90dd117f1cf21dea4822e66d89e8ea80e3cd2da5"},
-]
-
-[package.dependencies]
-nvidia-cublas-cu12 = "*"
-nvidia-cusparse-cu12 = "*"
-nvidia-nvjitlink-cu12 = "*"
-
 [[package]]
 name = "nvidia-cusparse-cu11"
 version = "11.7.5.86"
@@ -2005,20 +1910,6 @@ files = [
     {file = "nvidia_cusparse_cu11-11.7.5.86-py3-none-win_amd64.whl", hash = "sha256:a0f6ee81cd91be606fc2f55992d06b09cd4e86d74b6ae5e8dd1631cf7f5a8706"},
 ]
 
-[[package]]
-name = "nvidia-cusparse-cu12"
-version = "12.1.0.106"
-description = "CUSPARSE native runtime libraries"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-manylinux1_x86_64.whl", hash = "sha256:f3b50f42cf363f86ab21f720998517a659a48131e8d538dc02f8768237bd884c"},
-    {file = "nvidia_cusparse_cu12-12.1.0.106-py3-none-win_amd64.whl", hash = "sha256:b798237e81b9719373e8fae8d4f091b70a0cf09d9d85c95a557e11df2d8e9a5a"},
-]
-
-[package.dependencies]
-nvidia-nvjitlink-cu12 = "*"
-
 [[package]]
 name = "nvidia-nccl-cu11"
 version = "2.16.5"
@@ -2029,38 +1920,6 @@ files = [
     {file = "nvidia_nccl_cu11-2.16.5-py3-none-manylinux1_x86_64.whl", hash = "sha256:948cc9a8c659fc6cc3456dd54844fe203519b82ae87e3e94b9818dd9d94deaad"},
 ]
 
-[[package]]
-name = "nvidia-nccl-cu12"
-version = "2.19.3"
-description = "NVIDIA Collective Communication Library (NCCL) Runtime"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_nccl_cu12-2.19.3-py3-none-manylinux1_x86_64.whl", hash = "sha256:a9734707a2c96443331c1e48c717024aa6678a0e2a4cb66b2c364d18cee6b48d"},
-]
-
-[[package]]
-name = "nvidia-nvjitlink-cu12"
-version = "12.4.99"
-description = "Nvidia JIT LTO Library"
-optional = false
-python-versions = ">=3"
-files = [
-    {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"},
-]
-
-[[package]]
-name = "nvidia-nvtx-cu12"
-version = "12.1.105"
-description = "NVIDIA Tools Extension"
-optional = false
-python-versions = ">=3"
-files = [
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-manylinux1_x86_64.whl", hash = "sha256:dc21cf308ca5691e7c04d962e213f8a4aa9bbfa23d95412f452254c2caeb09e5"},
-    {file = "nvidia_nvtx_cu12-12.1.105-py3-none-win_amd64.whl", hash = "sha256:65f4d98982b31b60026e0e6de73fbdfc09d08a96f4656dd3665ca616a11e1e82"},
-]
-
 [[package]]
 name = "oauthlib"
 version = "3.2.2"
@@ -2095,9 +1954,9 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {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 = ">=1.21.2", markers = "platform_system != \"Darwin\" and python_version >= \"3.10\" and python_version < \"3.11\""},
+    {version = ">=1.23.5", markers = "python_version >= \"3.11\""},
 ]
 
 [[package]]
@@ -2169,8 +2028,8 @@ files = [
 
 [package.dependencies]
 numpy = [
-    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
     {version = ">=1.22.4,<2", markers = "python_version < \"3.11\""},
+    {version = ">=1.23.2,<2", markers = "python_version == \"3.11\""},
 ]
 python-dateutil = ">=2.8.2"
 pytz = ">=2020.1"
@@ -2631,7 +2490,6 @@ files = [
     {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_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-musllinux_1_1_x86_64.whl", hash = "sha256:8d4e9c88387b0f5c7d5f281e55304de64cf7f9c0021a3525bd3b1c542da3b0e4"},
     {file = "PyYAML-6.0.1-cp312-cp312-win32.whl", hash = "sha256:d483d2cdf104e7c9fa60c544d92981f12ad66a457afae824d146093b8c294c54"},
@@ -3438,21 +3296,19 @@ files = [
 
 [[package]]
 name = "torch"
-version = "2.2.1+cpu"
+version = "2.1.2+cpu"
 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+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:5d82422cf04797f1b2a8574b64a916070ec83eef58ad4900615ee0218d7b8b8e"},
+    {file = "torch-2.1.2+cpu-cp310-cp310-linux_x86_64.whl", hash = "sha256:bf3ca897f8c7c218dd6c4b1cc5eec57b4f4e71106b0b8120e92f5fdaf4acf6cd"},
-    {file = "torch-2.2.1+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:f8914dd0f5f0e5c66fdecd9559403eea9feac82d1ea639b672fde0073c6addbd"},
+    {file = "torch-2.1.2+cpu-cp310-cp310-win_amd64.whl", hash = "sha256:679458a652006bc5b9d3972f046ae299039dcc63f465ac623b439cbc27a3645c"},
-    {file = "torch-2.2.1+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:6bc973d5632374b92b4b293817b4d2ff8c8ce1c784c748b471dba1fffcd9c333"},
+    {file = "torch-2.1.2+cpu-cp311-cp311-linux_x86_64.whl", hash = "sha256:6acac7871cca2b72f00b60496dd7d59d7d8247721f374705b8f9c6b9aeea482a"},
-    {file = "torch-2.2.1+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:abdec34b0ade8fca0520055e72c3094425ae0ef210718e9c0278121cd3608c32"},
+    {file = "torch-2.1.2+cpu-cp311-cp311-win_amd64.whl", hash = "sha256:d7ed25db586afef2c022eb143471c6742088decbe05ed1f879fac770e67df189"},
-    {file = "torch-2.2.1+cpu-cp312-cp312-linux_x86_64.whl", hash = "sha256:d7339580135da4105c1244a8621faa076990409afeab5a7b642c3c1ee70a5622"},
+    {file = "torch-2.1.2+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:c4620b08e9b8572594861ebedaf739d86801068a48c0399cbdf6559d1d351789"},
-    {file = "torch-2.2.1+cpu-cp312-cp312-win_amd64.whl", hash = "sha256:039128fcb5548122465b15f679b8831c47d14f0d6c28c1f1b631f8019c104720"},
+    {file = "torch-2.1.2+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:8b90d5c0023891717dfc5659eebe6c57c3632db1e3981e22e523be51c4c962c9"},
-    {file = "torch-2.2.1+cpu-cp38-cp38-linux_x86_64.whl", hash = "sha256:2b447f7bb50b393b4544b4036d587e39ab524d4353e77c197f6a2727f22b0d47"},
+    {file = "torch-2.1.2+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:10df25736edb00852eca6041941e99d13502e65773d5c6164372eaaab83d976b"},
-    {file = "torch-2.2.1+cpu-cp38-cp38-win_amd64.whl", hash = "sha256:2ccdf3e5f71e6426ea9e34d21c3cc333b29d4f48299b981d28aeb5112b5495e1"},
+    {file = "torch-2.1.2+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:83bac7f809c09700c227abc9e3474e3a847a3f4c1bb2443aa16004f36a1e7e43"},
-    {file = "torch-2.2.1+cpu-cp39-cp39-linux_x86_64.whl", hash = "sha256:2fb340b289760040a16a77a6d70b8a48961abba1822e6f58705c97c80befa03e"},
-    {file = "torch-2.2.1+cpu-cp39-cp39-win_amd64.whl", hash = "sha256:e03dc4654ecceeb5b03f0a6f60b342c0e0d267b3ebc61e4f672cace1df8cd930"},
 ]
 
 [package.dependencies]
@@ -3461,11 +3317,11 @@ fsspec = "*"
 jinja2 = "*"
 networkx = "*"
 sympy = "*"
-typing-extensions = ">=4.8.0"
+typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
 
 [package.source]
 type = "legacy"
@@ -3474,21 +3330,19 @@ reference = "pytorch-cpu"
 
 [[package]]
 name = "torch"
-version = "2.2.1+cu121"
+version = "2.1.2+cu121"
 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+cu121-cp310-cp310-linux_x86_64.whl", hash = "sha256:1adf430f01ff649c848ac021785e18007b0714fdde68e4e65bd0c640bf3fb8e1"},
+    {file = "torch-2.1.2+cu121-cp310-cp310-linux_x86_64.whl", hash = "sha256:b2184b7729ef3b9b10065c074a37c1e603fd99f91e38376e25cb7ed6e1d54696"},
-    {file = "torch-2.2.1+cu121-cp310-cp310-win_amd64.whl", hash = "sha256:d4491bea61043ad053d0a0d6423008f6333dfb68f366160bf1aa7dfb2c0f2e9c"},
+    {file = "torch-2.1.2+cu121-cp310-cp310-win_amd64.whl", hash = "sha256:9925143dece0e63c5404a72d59eb668ef78795418e96b576f94d75dcea6030b9"},
-    {file = "torch-2.2.1+cu121-cp311-cp311-linux_x86_64.whl", hash = "sha256:23bb28ba800f25a9d33d51768bf5fdefa0220cbc5cd9a17f22d2a42628359468"},
+    {file = "torch-2.1.2+cu121-cp311-cp311-linux_x86_64.whl", hash = "sha256:ca05cae9334504d1903e16c50ddf045329a859d5b1a27ed2dc1d58ed066df6fa"},
-    {file = "torch-2.2.1+cu121-cp311-cp311-win_amd64.whl", hash = "sha256:5dfab54d4e28797c8f4f1f9543a0a2b3d27113fa40eb202f8f49af1d865f9573"},
+    {file = "torch-2.1.2+cu121-cp311-cp311-win_amd64.whl", hash = "sha256:c92e9c559a82466fc5989f648807d2c0215bcce09b97ad7a20d038b686783229"},
-    {file = "torch-2.2.1+cu121-cp312-cp312-linux_x86_64.whl", hash = "sha256:362751719d4b319b2e7efcc7aea01332602af06aef1c3d1f0653639e6906f23c"},
+    {file = "torch-2.1.2+cu121-cp38-cp38-linux_x86_64.whl", hash = "sha256:daa179bb558f78f2165db974a6744ec8de2ea71eb6aaf362bdae7616012c0302"},
-    {file = "torch-2.2.1+cu121-cp312-cp312-win_amd64.whl", hash = "sha256:240193aecc37548a381e6d1db74a148f80f9230df9547a4f1916187805456a0a"},
+    {file = "torch-2.1.2+cu121-cp38-cp38-win_amd64.whl", hash = "sha256:44c31fc1e470428682e212473507116ec3afa583d6b79d92858bf3dc24b334ea"},
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-    {file = "torch-2.2.1+cu121-cp38-cp38-win_amd64.whl", hash = "sha256:fe5a7eefa94f3d00577b4eaae7c3038de97cb2ac5bc7ceaf46ed1455cf7a5ba7"},
+    {file = "torch-2.1.2+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:2d287804328dfb950ae6d418c9d8561d8f379237cf0710566d80efb96b6cd744"},
-    {file = "torch-2.2.1+cu121-cp39-cp39-linux_x86_64.whl", hash = "sha256:1cb379874138e798c02b41962dd9d4ec0b063a8ca45a51097f326615477c9bd0"},
-    {file = "torch-2.2.1+cu121-cp39-cp39-win_amd64.whl", hash = "sha256:2e90c6397ae21663ade6cf55faa88e82ae47e0c42da98e02564218f8de94a6bf"},
 ]
 
 [package.dependencies]
@@ -3496,24 +3350,13 @@ 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\""}
+triton = {version = "2.1.0", markers = "platform_system == \"Linux\" and platform_machine == \"x86_64\""}
-typing-extensions = ">=4.8.0"
+typing-extensions = "*"
 
 [package.extras]
+dynamo = ["jinja2"]
 opt-einsum = ["opt-einsum (>=3.3)"]
-optree = ["optree (>=0.9.1)"]
 
 [package.source]
 type = "legacy"
@@ -3522,42 +3365,38 @@ reference = "pytorch-cu121"
 
 [[package]]
 name = "torchvision"
-version = "0.17.1"
+version = "0.16.2"
 description = "image and video datasets and models for torch deep learning"
 optional = false
 python-versions = ">=3.8"
 files = [
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+    {file = "torchvision-0.16.2-cp310-cp310-macosx_10_13_x86_64.whl", hash = "sha256:bc86f2800cb2c0c1a09c581409cdd6bff66e62f103dc83fc63f73346264c3756"},
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+    {file = "torchvision-0.16.2-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:3f4bd5fcbc361476e2e78016636ac7d5509e59d9962521f06eb98e6803898182"},
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+    {file = "torchvision-0.16.2-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:8199acdf8ab066a28b84a5b6f4d97b58976d9e164b1acc3a9d14fccfaf74bb3a"},
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-    {file = "torchvision-0.17.1-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8a1b17fb158b2b881f2c8796fe1839a624e49d5fd07aa61f6dae60ba4819421a"},
-    {file = "torchvision-0.17.1-cp39-cp39-manylinux1_x86_64.whl", hash = "sha256:429d63eb7551aa4d8f6cdf08d109b5570c20cbcce36d9cb95b24556418e4dc82"},
-    {file = "torchvision-0.17.1-cp39-cp39-manylinux2014_aarch64.whl", hash = "sha256:0ecc9a58171bd555aed583bf2f72e7fd6cc4f767c14f8b80b6a8725eacf4ceb1"},
-    {file = "torchvision-0.17.1-cp39-cp39-win_amd64.whl", hash = "sha256:5f427ebee15521edcd836bfe05e86feb5189b5c943b9e3999ed0e3f391fbaa1d"},
 ]
 
 [package.dependencies]
 numpy = "*"
 pillow = ">=5.3.0,<8.3.dev0 || >=8.4.dev0"
-torch = "2.2.1"
+requests = "*"
+torch = "2.1.2"
 
 [package.extras]
 scipy = ["scipy"]
@@ -3619,26 +3458,28 @@ test = ["argcomplete (>=3.0.3)", "mypy (>=1.7.0)", "pre-commit", "pytest (>=7.0,
 
 [[package]]
 name = "triton"
-version = "2.2.0"
+version = "2.1.0"
 description = "A language and compiler for custom Deep Learning operations"
 optional = false
 python-versions = "*"
 files = [
-    {file = "triton-2.2.0-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:a2294514340cfe4e8f4f9e5c66c702744c4a117d25e618bd08469d0bfed1e2e5"},
+    {file = "triton-2.1.0-0-cp310-cp310-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:66439923a30d5d48399b08a9eae10370f6c261a5ec864a64983bae63152d39d7"},
-    {file = "triton-2.2.0-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:da58a152bddb62cafa9a857dd2bc1f886dbf9f9c90a2b5da82157cd2b34392b0"},
+    {file = "triton-2.1.0-0-cp311-cp311-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:919b06453f0033ea52c13eaf7833de0e57db3178d23d4e04f9fc71c4f2c32bf8"},
-    {file = "triton-2.2.0-cp312-cp312-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:0af58716e721460a61886668b205963dc4d1e4ac20508cc3f623aef0d70283d5"},
+    {file = "triton-2.1.0-0-cp37-cp37m-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:ae4bb8a91de790e1866405211c4d618379781188f40d5c4c399766914e84cd94"},
-    {file = "triton-2.2.0-cp37-cp37m-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:e8fe46d3ab94a8103e291bd44c741cc294b91d1d81c1a2888254cbf7ff846dab"},
+    {file = "triton-2.1.0-0-cp38-cp38-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:39f6fb6bdccb3e98f3152e3fbea724f1aeae7d749412bbb1fa9c441d474eba26"},
-    {file = "triton-2.2.0-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:b8ce26093e539d727e7cf6f6f0d932b1ab0574dc02567e684377630d86723ace"},
+    {file = "triton-2.1.0-0-cp39-cp39-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:21544e522c02005a626c8ad63d39bdff2f31d41069592919ef281e964ed26446"},
-    {file = "triton-2.2.0-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:227cc6f357c5efcb357f3867ac2a8e7ecea2298cd4606a8ba1e931d1d5a947df"},
+    {file = "triton-2.1.0-0-pp37-pypy37_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:143582ca31dd89cd982bd3bf53666bab1c7527d41e185f9e3d8a3051ce1b663b"},
+    {file = "triton-2.1.0-0-pp38-pypy38_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:82fc5aeeedf6e36be4e4530cbdcba81a09d65c18e02f52dc298696d45721f3bd"},
+    {file = "triton-2.1.0-0-pp39-pypy39_pp73-manylinux2014_x86_64.manylinux_2_17_x86_64.whl", hash = "sha256:81a96d110a738ff63339fc892ded095b31bd0d205e3aace262af8400d40b6fa8"},
 ]
 
 [package.dependencies]
 filelock = "*"
 
 [package.extras]
-build = ["cmake (>=3.20)", "lit"]
+build = ["cmake (>=3.18)", "lit"]
-tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)", "torch"]
+tests = ["autopep8", "flake8", "isort", "numpy", "pytest", "scipy (>=1.7.1)"]
-tutorials = ["matplotlib", "pandas", "tabulate", "torch"]
+tutorials = ["matplotlib", "pandas", "tabulate"]
 
 [[package]]
 name = "typing-extensions"
@@ -3855,4 +3696,4 @@ cuda = []
 [metadata]
 lock-version = "2.0"
 python-versions = ">=3.10, <3.12"
-content-hash = "9ac2036a11ad1ed50d37b455539316efdeed714e6d5e8b9b001a85a2f753b37b"
+content-hash = "d4c3e7597696188583fce57ca66e8eb8933521d07357a1ffd5624d680208de22"

pyproject.toml

@@ -22,12 +22,9 @@ hjson = "^3.1.0"
 numpy = "^1.23.2"
 
 # https://github.com/python-poetry/poetry/issues/6409#issuecomment-1911735833
-# If GPU support doesn't work, `poetry install -E cuda --with gpu` will force it to be installed from the GPU PyTorch repo
+# To install with GPU, use poetry install -E cuda --with gpu
-# However, PyPi's `torch` has CUDA 12.1 support by default on Linux, so in that case it should not be needed.
+torch = {version = "2.1.*", source = "pytorch-cpu", markers = "extra!='cuda'" }
-torch = [
+
-    {version = "^2.2.1", markers = "extra!='cuda' and platform_system=='Linux'"},
-    {version = "^2.2.1", source = "pytorch-cpu", markers = "extra!='cuda' and platform_system!='Linux'"},
-    ]
 # https://stackoverflow.com/a/76477590/18270659
 # https://discfuss.tensorflow.org/t/tensorflow-io-gcs-filesystem-with-windows/18849/4
 # https://github.com/python-poetry/poetry/issues/8271#issuecomment-1712020965
@@ -54,7 +51,7 @@ prettytable = "^3.9.0"
 optional = true
 
 [tool.poetry.group.gpu.dependencies]
-torch = {version = "^2.2.1", source = "pytorch-cu121", markers = "extra=='cuda'"}
+torch = {version = "2.1.*", source = "pytorch-cu121", markers = "extra=='cuda'"}
 tensorflow = {version = "^2.14.0", extras = ["and-cuda"], markers = "extra=='cuda'"}
 
 [tool.poetry.extras]