{
  "info": {
    "subdir": "linux-64"
  },
  "packages": {
    "libtorch-2.8.0-gpu_cuda128_h21c9551_302.tar.bz2": {
      "build": "gpu_cuda128_h21c9551_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libuv >=1.48.0,<2.0a0",
        "magma",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "sleef >=3.5.1,<4.0a0"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "36203278ee7a608986e9f5c28f2339bf",
      "name": "libtorch",
      "sha256": "838506aea75b4f113aa53b105e630a4f29bbb635c0c7bf1f0eea522f0dbffef6",
      "size": 963352034,
      "subdir": "linux-64",
      "timestamp": 1772631670355,
      "version": "2.8.0"
    },
    "libtorch-2.8.0-gpu_cuda128_h596a424_202.tar.bz2": {
      "build": "gpu_cuda128_h596a424_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libuv >=1.48.0,<2.0a0",
        "magma",
        "nccl >=2.21.5.1,<3.0a0",
        "sleef >=3.5.1,<4.0a0"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "03832287495be3bf0e0c968bc1ba3b20",
      "name": "libtorch",
      "sha256": "77bdaeb08b17393fe45f9c1e3434a886ca485eedf107c301a636bb4f4eee09cf",
      "size": 963401919,
      "subdir": "linux-64",
      "timestamp": 1772631825841,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py310hb9f6058_302.tar.bz2": {
      "build": "gpu_cuda128_py310hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.21,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.10,<3.11.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "b6d992bddfd86a2c9ec6cf9cc91afb2d",
      "name": "pytorch",
      "sha256": "320cf581ebb8034111bbf9790afed68a69285b972415b581def25c81435a67c7",
      "size": 35003578,
      "subdir": "linux-64",
      "timestamp": 1772632310928,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py310hff89192_202.tar.bz2": {
      "build": "gpu_cuda128_py310hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.21,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.10,<3.11.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "4a7d044b2629548536a4e80d624968c8",
      "name": "pytorch",
      "sha256": "866f833f725ccffb2b438c74e3265914c406177cbf58db225f756d739e83aeb5",
      "size": 35007527,
      "subdir": "linux-64",
      "timestamp": 1772632595059,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py311hb9f6058_302.tar.bz2": {
      "build": "gpu_cuda128_py311hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.11,<3.12.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "3ab46cb62f3347e004b4752460904dfb",
      "name": "pytorch",
      "sha256": "c6886cb141df63d0e1264bdd70043ab65eecc079d369a556efb9bb30cc43367d",
      "size": 39930901,
      "subdir": "linux-64",
      "timestamp": 1772632487691,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py311hff89192_202.tar.bz2": {
      "build": "gpu_cuda128_py311hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.11,<3.12.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "e3a80b77f557c54aece9eb96f3426027",
      "name": "pytorch",
      "sha256": "504a72a1aeb9706b4c672463b20b6ce81a7abdfe4e25159c18ef5f73416d99b4",
      "size": 39915360,
      "subdir": "linux-64",
      "timestamp": 1772632506325,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py312hb9f6058_302.tar.bz2": {
      "build": "gpu_cuda128_py312hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.12,<3.13.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "c125a2f00d65beb199df2105680b42be",
      "name": "pytorch",
      "sha256": "f00f152220bdc3a8696f41ff3be82b1b1c70e88ac7535684cbe48952d658c251",
      "size": 39084226,
      "subdir": "linux-64",
      "timestamp": 1772632965807,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py312hff89192_202.tar.bz2": {
      "build": "gpu_cuda128_py312hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.12,<3.13.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "c11b1ba2dd4cbf08434a1ae4167d080f",
      "name": "pytorch",
      "sha256": "731ec15880f2f0128164f6b2e9cfd9ad0161df39a41e3b41ddb021878d1d9641",
      "size": 39065184,
      "subdir": "linux-64",
      "timestamp": 1772632699674,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py313hb9f6058_302.tar.bz2": {
      "build": "gpu_cuda128_py313hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "ae4c8af4bc56127ebfaefbec268f331c",
      "name": "pytorch",
      "sha256": "b4627147569a2915575ffb86eb4e00eaef6891819288ce7710c57273eeaade05",
      "size": 39165063,
      "subdir": "linux-64",
      "timestamp": 1772632487493,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py313hff89192_202.tar.bz2": {
      "build": "gpu_cuda128_py313hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "d7664ac86862fc13d96bc6edb80d484e",
      "name": "pytorch",
      "sha256": "557153686b973e1e4c3ff1b0e7c97bbef3cc069c8298984d1a321f88cdc316a8",
      "size": 39217105,
      "subdir": "linux-64",
      "timestamp": 1772632675761,
      "version": "2.8.0"
    },
    "pytorch-gpu-2.8.0-gpu_cuda128_h1234567_202.tar.bz2": {
      "build": "gpu_cuda128_h1234567_202",
      "build_number": 202,
      "depends": [
        "pytorch 2.8.0 gpu*"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "b2e65a0adee0cf7070c435cce11356d7",
      "name": "pytorch-gpu",
      "sha256": "36a2edd1d89e77ed0ee2e161a15db531211aff0d298d43181e6a334ae671ff33",
      "size": 32220,
      "subdir": "linux-64",
      "timestamp": 1772632773593,
      "version": "2.8.0"
    },
    "pytorch-gpu-2.8.0-gpu_cuda128_h1234567_302.tar.bz2": {
      "build": "gpu_cuda128_h1234567_302",
      "build_number": 302,
      "depends": [
        "pytorch 2.8.0 gpu*"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "79f2184b72ab4f99f1a197a9d633e16b",
      "name": "pytorch-gpu",
      "sha256": "2d050f5b0e12c4e239f1ca2168cf3408ac6fc888abd78c5edc40e7cb9744c5b7",
      "size": 32263,
      "subdir": "linux-64",
      "timestamp": 1772632583686,
      "version": "2.8.0"
    }
  },
  "packages.conda": {
    "libtorch-2.8.0-gpu_cuda128_h21c9551_302.conda": {
      "build": "gpu_cuda128_h21c9551_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libuv >=1.48.0,<2.0a0",
        "magma",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "sleef >=3.5.1,<4.0a0"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "063bf398047c1884759793e145c56ea0",
      "name": "libtorch",
      "sha256": "a09ab3ada862a9e7f4bab504ac82b7cb6231bb35de804f23ddf5131ad91c72e5",
      "size": 552851044,
      "subdir": "linux-64",
      "timestamp": 1772631670355,
      "version": "2.8.0"
    },
    "libtorch-2.8.0-gpu_cuda128_h596a424_202.conda": {
      "build": "gpu_cuda128_h596a424_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libuv >=1.48.0,<2.0a0",
        "magma",
        "nccl >=2.21.5.1,<3.0a0",
        "sleef >=3.5.1,<4.0a0"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "0f8c434b813b2bcc1f88114ae21cb9dc",
      "name": "libtorch",
      "sha256": "0bc863a546fa0f5cf0672f642faa66ace39e41641dcbb7303e958ca10215a8ac",
      "size": 553124952,
      "subdir": "linux-64",
      "timestamp": 1772631825841,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py310hb9f6058_302.conda": {
      "build": "gpu_cuda128_py310hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.21,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.10,<3.11.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "0305384791c786569dad14dff6570e7f",
      "name": "pytorch",
      "sha256": "3f4ee9e25830913549f5235fc5398c3aaedce0b1cf22508b5fbe5e1937bed4ff",
      "size": 30375105,
      "subdir": "linux-64",
      "timestamp": 1772632310928,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py310hff89192_202.conda": {
      "build": "gpu_cuda128_py310hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.21,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.10,<3.11.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "b34df395be627e94f89c12f7d98284f7",
      "name": "pytorch",
      "sha256": "d83e0c239a8d6b2dd5ed65489263d769c25239b315e9c2c0718ae3b68fdf9f5d",
      "size": 30262482,
      "subdir": "linux-64",
      "timestamp": 1772632595059,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py311hb9f6058_302.conda": {
      "build": "gpu_cuda128_py311hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.11,<3.12.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "24d86c783762252bf53e05451c17ba1f",
      "name": "pytorch",
      "sha256": "d453617b1391d7374bd62e1783df57509ad9a0644777a47f5d2a111f8bba4a26",
      "size": 34617815,
      "subdir": "linux-64",
      "timestamp": 1772632487691,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py311hff89192_202.conda": {
      "build": "gpu_cuda128_py311hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.11,<3.12.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "3e9bede68c7221a25bd6d2d9c4d0fa96",
      "name": "pytorch",
      "sha256": "b38bf3d0b824afef5772c77e43832db519b0259b7a4637c47e88a00d0020ac9c",
      "size": 34613016,
      "subdir": "linux-64",
      "timestamp": 1772632506325,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py312hb9f6058_302.conda": {
      "build": "gpu_cuda128_py312hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.12,<3.13.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "4d9ae9b071e4e57d76467136fc416888",
      "name": "pytorch",
      "sha256": "ef437bfa2cc9b3f08501a862c2b408d28e8a6e447ee9b1af5eee4e5e017fe1c4",
      "size": 34338560,
      "subdir": "linux-64",
      "timestamp": 1772632965807,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py312hff89192_202.conda": {
      "build": "gpu_cuda128_py312hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.12,<3.13.0a0",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "769a4e19ccdf5fb256bb5728987900da",
      "name": "pytorch",
      "sha256": "1423afc80cbf732d46385aa76dad050538937e9582e334bbf70aeb1d1bff1649",
      "size": 34255797,
      "subdir": "linux-64",
      "timestamp": 1772632699674,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py313hb9f6058_302.conda": {
      "build": "gpu_cuda128_py313hb9f6058_302",
      "build_number": 302,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas 1.0 mkl",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "intel-openmp >=2025.0.0,<2026.0a0",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "mkl >=2025.0.0,<2026.0a0",
        "mkl-service >=2.3.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "6597daf94c6983c859d6cb0a076ba6ca",
      "name": "pytorch",
      "sha256": "765170d8b031662764be1ac6577324f586b56dd0816f58c38f557de20946ed88",
      "size": 34371251,
      "subdir": "linux-64",
      "timestamp": 1772632487493,
      "version": "2.8.0"
    },
    "pytorch-2.8.0-gpu_cuda128_py313hff89192_202.conda": {
      "build": "gpu_cuda128_py313hff89192_202",
      "build_number": 202,
      "depends": [
        "__glibc >=2.28,<3.0.a0",
        "_openmp_mutex >=4.5",
        "_openmp_mutex >=5.1",
        "blas * openblas",
        "cuda-cudart >=12.8.90,<13.0a0",
        "cuda-cupti >=12.8.90,<13.0a0",
        "cuda-nvrtc >=12.8.93,<13.0a0",
        "cuda-nvtx >=12.8.90,<13.0a0",
        "cuda-version >=12.8,<13",
        "cudnn >=9.15.1.9,<10.0a0",
        "filelock",
        "fsspec",
        "jinja2",
        "libabseil * cxx17*",
        "libabseil >=20260107.0,<20260108.0a0",
        "libcublas >=12.8.4.1,<13.0a0",
        "libcudnn >=9.15.1.9,<10.0a0",
        "libcufft >=11.3.3.83,<12.0a0",
        "libcurand >=10.3.9.90,<11.0a0",
        "libcusolver >=11.7.3.90,<12.0a0",
        "libcusparse >=12.5.8.93,<13.0a0",
        "libgcc >=14",
        "libopenblas >=0.3.31,<1.0a0",
        "libprotobuf >=6.33.5,<6.33.6.0a0",
        "libstdcxx >=14",
        "libtorch 2.8.0.*",
        "libuv >=1.48.0,<2.0a0",
        "magma >=2.9.0,<3.0a0",
        "nccl >=2.21.5.1,<3.0a0",
        "networkx",
        "nomkl",
        "numpy >=1.23,<3",
        "numpy >=1.24.0,<3.0.0",
        "opentelemetry-api",
        "python >=3.13,<3.14.0a0",
        "python_abi 3.13.* *_cp313",
        "setuptools",
        "sleef >=3.5.1,<4.0a0",
        "sympy >=1.13.3",
        "triton 3.4.0.*",
        "typing_extensions"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "742ed0af70ccf96d8e5fc9771d99352f",
      "name": "pytorch",
      "sha256": "afb58770d0658b5c5891ebf639bf83721c2701b805200063e78c370778766e3e",
      "size": 34255364,
      "subdir": "linux-64",
      "timestamp": 1772632675761,
      "version": "2.8.0"
    },
    "pytorch-gpu-2.8.0-gpu_cuda128_h1234567_202.conda": {
      "build": "gpu_cuda128_h1234567_202",
      "build_number": 202,
      "depends": [
        "pytorch 2.8.0 gpu*"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "69523e0807c45a29351d8b57fcb131c2",
      "name": "pytorch-gpu",
      "sha256": "9aa503f752e1e6bc485790eb3cc8834e66f698da8a00fa221f0e5f83cb49c2e2",
      "size": 33065,
      "subdir": "linux-64",
      "timestamp": 1772632773593,
      "version": "2.8.0"
    },
    "pytorch-gpu-2.8.0-gpu_cuda128_h1234567_302.conda": {
      "build": "gpu_cuda128_h1234567_302",
      "build_number": 302,
      "depends": [
        "pytorch 2.8.0 gpu*"
      ],
      "license": "BSD-3-Clause",
      "license_family": "BSD",
      "md5": "c5b1d49155cb85bdc26c4d28f339a13b",
      "name": "pytorch-gpu",
      "sha256": "5c99ca6cce28326c6cc833395230396d39e23b7506ce1a04dd88a41b23ea7d3c",
      "size": 32943,
      "subdir": "linux-64",
      "timestamp": 1772632583686,
      "version": "2.8.0"
    }
  },
  "removed": [],
  "repodata_version": 1
}