TensorFlow offers multiple levels of abstraction so you can choose the right one for your needs. Build and train models by using the high-level Keras API, which makes getting started with TensorFlow and machine learning easy.
| Uploaded | Tue Apr 1 00:25:19 2025 |
| md5 checksum | 587f85e184e75b6c37ab0ab45b83ad4e |
| arch | x86_64 |
| build | cuda124py310h3b6feb8_200 |
| build_number | 200 |
| depends | __cuda, absl-py >=1.0.0, astunparse >=1.6.0, cuda-cudart >=12.4.127,<13.0a0, cuda-cupti >=12.4.127,<13.0a0, cuda-nvcc-tools, cuda-nvtx >=12.4.127,<13.0a0, cuda-version >=12.4,<13, cudnn >=9.1,<10.0a0, flatbuffers >=24.3.25,<24.3.26.0a0, gast >=0.2.1,!=0.5.0,!=0.5.1,!=0.5.2, giflib >=5.2.2,<5.3.0a0, google-pasta >=0.1.1, grpcio 1.62.2.*, h5py >=3.10, icu >=73.1,<74.0a0, jpeg >=9e,<10a, keras >=3.2.0, libabseil * cxx17*, libabseil >=20240116.2,<20240116.3.0a0, libcublas >=12.4.5.8,<13.0a0, libcufft >=11.2.1.3,<12.0a0, libcurand >=10.3.5.147,<11.0a0, libcurl >=8.1.1,<9.0a0, libcusolver >=11.6.1.9,<12.0a0, libcusparse >=12.3.1.170,<13.0a0, libgcc-ng >=11.2.0, libgrpc >=1.62.2,<1.63.0a0, libpng >=1.6.39,<1.7.0a0, libprotobuf >=4.25.3,<4.25.4.0a0, libstdcxx-ng >=11.2.0, ml_dtypes >=0.4.0,<0.5, nccl >=2.21.5.1,<3.0a0, numpy >=1.22.3,<2.0a0, openssl >=3.0.15,<4.0a0, opt_einsum >=2.3.2, packaging, protobuf >=3.20.3,<5,!=4.21.0,!=4.21.1,!=4.21.2,!=4.21.3,!=4.21.4,!=4.21.5, python >=3.10,<3.11.0a0, python-flatbuffers >=24.3.25, requests >=2.21.0,<3, six >=1.12, snappy >=1.2.1,<2.0a0, sqlite >=3.45.3,<4.0a0, tensorboard >=2.17,<2.18, termcolor >=1.1.0, typing_extensions >=3.6.6, wrapt >=1.11.0, zlib >=1.2.13,<1.3.0a0 |
| license | Apache-2.0 |
| license_family | Apache |
| md5 | 587f85e184e75b6c37ab0ab45b83ad4e |
| name | tensorflow-base |
| platform | linux |
| sha1 | 65d8ebeb47817c1c6664dcf96b41b12d262b74dd |
| sha256 | e6f59f2cec3adc1cc4c05dd21139521fc4e05658d5d1e160fdb19a56681a2f83 |
| size | 377034078 |
| subdir | linux-64 |
| timestamp | 1729561741391 |
| version | 2.17.0 |