tensorflow2.0尝鲜版本发布了，但是tensorflow1.13.1毕竟是稳定版本，由于网络问题安装、更新一直失败。
系统：ubantu 18
anaconda 3
首先查询版本：
(base) [email protected]:~$ anaconda search -t conda tensorflow
Using Anaconda API: https://api.anaconda.org
Packages:
Name | Version | Package Types | Platforms | Builds
------------------------- | ------ | --------------- | --------------- | ----------
GlaxoSmithKline/tensorflow | 0.12.0 | conda | linux-64 | py27hb0d0e74_0
: TensorFlow is a machine learning library
HCC/tensorflow | 1.9.0 | conda | linux-64 | py34_1, py27_1, py27_0, py36_0, py35h78b684f_1, py35h78b684f_0, np113py35_0, py27h78b684f_0, py27h78b684f_1, py36h78b684f_0, py36h78b684f_1, np113py27_0, np113py36_0, py35_0, py35_1
: Computation using data flow graphs for scalable machine learning.
HCC/tensorflow-cpucompat | 1.7.0 | conda | linux-64 | py27_0, py36_0, py34_0, np113py35_0, np113py27_0, np113py36_0, py35_0
: Computation using data flow graphs for scalable machine learning.
HCC/tensorflow-fma | 1.5.0 | conda | linux-64 | py27_1, py34_1, py27_0, py36_0, py34_0, np113py35_0, np113py27_0, np113py36_0, py35_0, py35_1
: Computation using data flow graphs for scalable machine learning.
HCC/tensorflow-gpu | 1.7.0 | conda | linux-64 | np113py35_1, np113py35_2, np113py27_1, np113py27_2, py35h2b91c5c_3, np113py36_2, np113py36_1, py36h2b91c5c_3, py27h2b91c5c_3
: Computation using data flow graphs for scalable machine learning.
Qwant/onnx-tensorflow | 1.2.0 | conda | linux-64 | py36_0
: Tensorflow Backend and Frontend for ONNX
RMG/tensorflow | 1.0.0 | conda | linux-64, osx-64 | py27_0
SentientPrime/tensorflow | 0.6.0 | conda | osx-64 | py27_0
: TensorFlow helps the tensors flow
aaronzs/tensorflow | 1.10.0 | conda | linux-64, osx-64, win-64 | py36h39705f4_0, py36h8a03e48_0, py35hc784f49_0, py36h6db853c_0, py35h2d7a08b_0, py36he4e0f4f_0, py36_1, py35hc0f5839_0, py36hebc11a6_0, py35ha700c16_0, py35h6467dd0_0, py36heb185b1_0, py35hf9a0815_0, py36h2003710_0, py35h89e3332_0, py36h4df9c7b_0, py36_0, py35_0, py35_1
: TensorFlow helps the tensors flow
aaronzs/tensorflow-gpu | 1.10.0 | conda | linux-64, win-64 | py35h8ac8084_0, py36_1, py36_0, py36hbec5d8f_0, py36h7b11560_0, py35h14e71af_0, py35_0, py35_1
: TensorFlow helps the tensors flow
acaprez/tensorflow-gpu | 1.5.0 | conda | linux-64 | np113py36_0
: Computation using data flow graphs for scalable machine learning.
acellera/tensorflow-cuda | 0.12.1 | conda | linux-64 | 1
anaconda/tensorflow | 1.13.1 | conda | linux-ppc64le, linux-64, win-64, osx-64 | gpu_py27h99ab47f_0, gpu_py27hd8bfc1a_0, mkl_py36ha6f0bda_0, eigen_py27h6ba8707_0, gpu_py36he68c306_0, mkl_py35h34e052c_1, gpu_py27h67ad7fe_0, gpu_py27hd3a791e_1, 0, gpu_py35hb39db67_1, mkl_py36h2b2bbaf_0, eigen_py37h2a8d240_0, gpu_py27h2a0f108_0, eigen_py36hf0a88a9_0, eigen_py35h40edd97_1, eigen_py27hf386fcc_1, eigen_py36hce7705b_0, eigen_py35h5ac2770_0, eigen_py36h67ac661_0, gpu_py36h313df88_1, eigen_py27ha0ab958_0, gpu_py36h1635174_0, gpu_py36h3514669_0, mkl_py36h4fc8490_1, gpu_py27h395d940_1, eigen_py36hbec2359_1, eigen_py36hbec2359_0, eigen_py36hb995bb4_0, py36_0, eigen_py36h0906837_0, mkl_py27h45ac830_1, eigen_py35h5ed898b_0, gpu_py35h0075c17_1, gpu_py36h8dbd23f_0, eigen_py36hf386fcc_0, gpu_py27h6f941b3_0, mkl_py36h44b7a51_0, mkl_py27h857755f_0, mkl_py27h25e0b76_0, gpu_py36h5dc63e2_0, gpu_py37hbc1a9d5_0, gpu_py35ha5d5ef7_0, eigen_py36h8c89287_0, hb1b1514_0, np111py27_0, hc2d9325_0, h645107b_0, mkl_py36h69b6ba0_0, mkl_py27h6c571c4_0, mkl_py36h0cb61a4_0, gpu_py36h220e158_1, eigen_py36hae858b4_0, eigen_py36he3f7ef1_0, np111py34_0, mkl_py27hc55d17a_0, np111py36_0, gpu_py35h42d5ad8_1, hb381393_0, mkl_py36h6d6ce78_1, eigen_py36h0b764b7_0, eigen_py36h0b764b7_1, eigen_py36hf07811a_1, mkl_py36h41bbc20_0, mkl_py36hdb377fd_0, np112py27_0, gpu_py36h02c5d5e_1, eigen_py27hf93ee88_0, mkl_py36h5be851a_0, mkl_py35h5be851a_1, gpu_py36ha5f9131_0, eigen_py27hdc0099c_0, gpu_py36h9c9050a_0, gpu_py36h4459f94_0, gpu_py36hcebf108_0, mkl_py35heddcb22_0, gpu_py35ha6119f3_0, mkl_py37h9463c59_0, eigen_py35h38c8211_0, h2742514_0, mkl_py27h5e07bc0_0, eigen_py36h849fbd8_0, np111py35_0, mkl_py36hd212fbe_0, gpu_py35h566a776_0, np112py36_0, h469b60b_0, gpu_py36he74679b_0, gpu_py37h83e5d6a_0, py35_0, mkl_py36h6d6ce78_0, gpu_py35hd9c640d_0, mkl_py35h4a0f5c2_0, eigen_py36hbd5f568_0, np112py35_0, eigen_py36h346fd36_0, gpu_py36h97a2126_0, eigen_py35h8c89287_1, gpu_py27h956c076_0, mkl_py27h0cb61a4_1, eigen_py27h06aee4b_0, py27_0, h01c6a4e_0, eigen_py27hc3c435f_1, h7b2774c_0, h16da8f2_0, eigen_py27hfe19c55_0, hb11d968_0, mkl_py36hb361250_0, gpu_py27h9580370_0, h57681fa_0, gpu_py36h9006a92_0, gpu_py36hfdee9c2_1, gpu_py27h233f449_1, h5c3c37f_0, mkl_py36h4f00353_0, gpu_py35h60c0932_1, eigen_py35hb0e21f4_1
: TensorFlow is a machine learning library.
anaconda/tensorflow-base | 1.13.1 | conda | linux-64, osx-64, win-64 | py27h4df133c_0, gpu_py36h0fff12a_0, mkl_py27h70e0e9a_0, gpu_py36h9f529ab_0, gpu_py36h9f529ab_1, py35hdbcaa40_2, mkl_py37hcaf7020_0, gpu_py37h871c8ca_0, gpu_py35h9f529ab_1, gpu_py35h9f529ab_0, mkl_py35h3c3e929_0, py36h1a1b453_0, py36h1a1b453_1, gpu_py27h9f529ab_0, gpu_py27h9f529ab_1, gpu_py35h3435052_0, mkl_py36h3c3e929_0, py27hd00c003_2, mkl_py35h81393da_0, gpu_py36h6e53903_0, py36_0, py27hee38f2d_0, gpu_py35h6ecc378_0, mkl_py35h2ca6a6a_0, mkl_py36h81393da_0, eigen_py36h45df0d8_0, py35hc1a7637_0, gpu_py27h3435052_0, eigen_py27hdfca3bf_0, eigen_py36h4f0eeca_0, py35h5f64886_0, eigen_py27h4f0eeca_0, eigen_py35h45df0d8_0, py27hff88cb2_0, py27hff88cb2_1, py36hee38f2d_0, eigen_py36h4dcebc2_0, py36hd00c003_2, eigen_py37hf8af7b3_0, eigen_py27h4dcebc2_0, gpu_py35had579c0_0, py27hc1a7637_0, mkl_py36h2ca6a6a_0, py35hdbcaa40_1, py35h1a1b453_1, py35h1a1b453_0, py35h4df133c_0, py27h0dbb4d0_1, py35hff88cb2_1, py35hff88cb2_0, gpu_py36h6ecc378_0, eigen_py36hdfca3bf_0, gpu_py36had579c0_0, eigen_py35h4dcebc2_0, mkl_py36h70e0e9a_0, gpu_py36h3435052_0, py36h5f64886_0, py36hc1a7637_0, py35_0, mkl_py27h3c3e929_0, eigen_py35hdfca3bf_0, gpu_py27had579c0_0, mkl_py36hcaf7020_0, py35h79a3156_1, py35hd00c003_2, gpu_py27h8e0ae2d_0, py27_0, py36hdbcaa40_2, py27hdbcaa40_1, py27hdbcaa40_2, py36hdbcaa40_1, py36h5293eaa_1, py35hee38f2d_0, mkl_py35h70e0e9a_0, py36h4df133c_0, mkl_py27h2ca6a6a_0, gpu_py35h6e53903_0, py27h5f64886_0, gpu_py36h8e0ae2d_0, gpu_py27h6ecc378_0, py36hff88cb2_0, py36hff88cb2_1, gpu_py37h0fff12a_0, eigen_py35h4f0eeca_0, gpu_py36h871c8ca_0, eigen_py36hf8af7b3_0
: TensorFlow is a machine learning library, base package contains only tensorflow.
anaconda/tensorflow-eigen | 1.13.1 | conda | linux-64, win-64, osx-64 | h68edfc2_0, h08ee40d_0, h97799b2_0
: Metapackage for selecting a TensorFlow variant.
anaconda/tensorflow-estimator | 1.13.0 | conda | noarch | py_0
: TensorFlow Estimator
anaconda/tensorflow-gpu | 1.13.1 | conda | linux-ppc64le, linux-64, win-64 | h21ff451_0, py36_4, hf154084_0, py35cuda8.0cudnn6.0_0, py27_4, py35cuda7.5cudnn6.0_0, 0, py35cuda8.0cudnn5.1_0, py36cuda7.5cudnn5.1_0, py27cuda7.5cudnn5.1_0, py27cuda7.5cudnn6.0_0, np112py35_0, np111py27_0, np112py27_0, py27cuda8.0cudnn5.1_0, np111py35_0, py27cuda8.0cudnn6.0_0, h0d30ee6_0, py36cuda7.5cudnn6.0_0, np112py36_0, np111py36_0, py36cuda8.0cudnn5.1_0, py36cuda8.0cudnn6.0_0, py35_4, py35cuda7.5cudnn5.1_0, h7b35bdc_0
: Metapackage for selecting a TensorFlow variant.
anaconda/tensorflow-gpu-base | 1.8.0 | conda | linux-64, win-64 | py36h01caf0a_0, py36had95abb_0, py36h5b7bae4_1, py36ha7e2fe3_0, py35cuda8.0cudnn6.0_0, py35cuda8.0cudnn6.0_1, py27h5b7bae4_1, py35h376609f_0, py27hcdda91b_1, py36hcdda91b_1, py35had95abb_0, py27ha7e2fe3_0, py27h8a131e3_0, py35hcdda91b_1, py27h01caf0a_0, py35h8a131e3_0, py27cuda8.0cudnn6.0_1, py27cuda8.0cudnn6.0_0, py36h376609f_0, py36h8a131e3_0, py35h01caf0a_0, py35h5b7bae4_1, py27had95abb_0, py36cuda8.0cudnn6.0_1, py36cuda8.0cudnn6.0_0, py35ha7e2fe3_0
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
aroth85/tensorflow | 1.3.0 | conda | linux-64 | py27_0
: TensorFlow helps the tensors flow
ashahba/tensorflow | 1.11.0 | conda | linux-64, win-64 | py36_0, py27_0, py35_0, py34_0
: TensorFlow is a machine learning library
c3i_test2/tensorflow-base | 1.8.0 | conda | win-64 | py36h1a1b453_0, py36h1a1b453_1, py35h1a1b453_1, py35h1a1b453_0
: TensorFlow is a machine learning library, base package contains only tensorflow.
c3i_test2/tensorflow-gpu | 1.8.0 | conda | win-64 | h21ff451_0
: TensorFlow is a machine learning library.
c3i_test2/tensorflow-gpu-base | 1.8.0 | conda | win-64 | py36h376609f_0, py35h376609f_0
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
chicham/onnx-tensorflow | 1.2.0 | conda | linux-64 | py36_0
: Tensorflow Backend and Frontend for ONNX
cjj3779/tensorflow-gpu | 1.4.0 | conda | linux-64, win-64 | py35hc6fb95a_0, py35h14e71af_0, py36hbec5d8f_0, py36h6bf4e57_0
: TensorFlow helps the tensors flow
conda-forge/dask-tensorflow | 0.0.2 | conda | noarch | py_0
: Interactions between Dask and Tensorflow
conda-forge/r-tensorflow | 1.10 | conda | linux-64, osx-64, noarch, win-64 | r351h6115d3f_1000, r341h6115d3f_0, r341_0, r3.3.2_0, r3.4.1_0, r351h6115d3f_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
conda-forge/tensorflow | 1.10.0 | conda | linux-64, win-64, osx-64 | py36_2, py27_1, py34_1, py34_0, py36_1, py36_0, py27_0, py27_2, py35_2, py35_0, py35_1
: TensorFlow helps the tensors flow
conda-forge/tensorflow-estimator | 1.13.0 | conda | win-64, osx-64 | py27h24bf2e0_0, py36h24bf2e0_0, py37h24bf2e0_0, py36h39e3cac_0, py37h39e3cac_0
: TensorFlow Estimator is a high-level TensorFlow API that greatly simplifies machine learning programming.
conda-forge/tensorflow-hub | 0.3.0 | conda | noarch | py_0
: A library for transfer learning by reusing parts of TensorFlow models.
dhirschfeld/tensorflow | 1.2.0 | conda | win-64 | py36_0, py35_0
: Computation using data flow graphs for scalable machine learning
dseuss/tensorflow | | conda | osx-64 | py35_0
engility/tensorflow-base | 1.8.0 | conda | linux-64 | py35h5f64886_0, py36h5f64886_0, py27h5f64886_0, py27h04863e7_3, py36h04863e7_3
: TensorFlow is a machine learning library, base package contains only tensorflow.
engility/tensorflow-gpu-base | 1.5.0 | conda | linux-64 | py36had95abb_0, py36h77f5d31_2, py27h77f5d31_1, py36h9792866_1, py27h9792866_1, py36h77f5d31_1
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
gaiar/tensorflow | 1.8.0 | conda | linux-armv7l | py35_0
: TensorFlow helps the tensors flow
gilbertfrancois/tensorflow | 1.8.0 | conda | linux-64, osx-64 | py36_1, py36h1d63082_0, py36_0
: TensorFlow helps the tensors flow
guyanhua/tensorflow | 1.0.0 | conda | linux-64 | py27_0
hesi_m/tensorflow | 1.11.0 | conda | linux-ppc64le, linux-64, win-32, linux-aarch64, linux-armv7l, osx-64, linux-armv6l, linux-32, win-64 | py36_0
: Tensorflow 1.11.0 CPU
hlyang/tensorflow-base | 1.12.0 | conda | linux-64 | mkl_py36h3c3e929_0
: TensorFlow is a machine learning library, base package contains only tensorflow.
ijstokes/tensorflow | 2017.03.03.1349 | conda, ipynb | linux-64 | py35_0
intel/tensorflow | 1.12.0 | pypi, conda | linux-64 | py27_0, py36_0, np114py36_5, np113py27_1, np113py36_1, np114py27_5
intel/tensorflow-avx2 | 1.10.0 | conda | linux-64 | py36_0, py27_0
: TensorFlow is a machine learning library
jjh_cio_testing/tensorflow | | conda | linux-64 | np111py27_0, 0, py27_0, py36_0, np112py36_0, np113py35_0, np112py35_0, np111py36_0, py35_0, np112py27_0, np113py36_0, np111py35_0, np113py27_0
: TensorFlow is a machine learning library
jjh_cio_testing/tensorflow-base | | conda | linux-64 | py35hf484d3e_0, py36hf484d3e_1, py36hf484d3e_0, py27_0, py36h5293eaa_1, py36_0, py35hf484d3e_1, py35h79a3156_1, py27hf484d3e_1, py27hf484d3e_0, py35_0, py27h0dbb4d0_1
: TensorFlow is a machine learning library, base package contains only tensorflow.
jjh_cio_testing/tensorflow-broadwell-base | | conda | linux-64 | py27ha278294_2, py36ha278294_2
: TensorFlow is a machine learning library, base package contains only tensorflow.
jjh_cio_testing/tensorflow-gpu | | conda | linux-64 | py36_0, py36_3, py36_2, np112py35_0, py36cuda7.5cudnn5.1_0, py35cuda8.0cudnn6.0_0, np113py36_0, py27_3, py27_2, py27_1, py27_0, py35cuda7.5cudnn6.0_0, np113py35_0, 0, py35cuda8.0cudnn5.1_0, py36cuda8.0cudnn5.1_0, np111py27_0, py27cuda7.5cudnn5.1_0, py27cuda7.5cudnn6.0_0, py36_4, py27_4, np112py27_0, py27cuda8.0cudnn5.1_0, np111py35_0, py27cuda8.0cudnn6.0_0, py36cuda7.5cudnn6.0_0, np112py36_0, py35_3, np111py36_0, np113py27_0, py36cuda8.0cudnn6.0_0, py35_4, py35_2, py35cuda7.5cudnn5.1_0, py35_0
: TensorFlow is a machine learning library.
jjh_cio_testing/tensorflow-gpu-base | 1.5.0 | conda | linux-64 | py27cuda8.0cudnn6.0_1, py27cuda8.0cudnn6.0_0, py27ha7e2fe3_0, py35ha7e2fe3_0, py36h01caf0a_0, py35h01caf0a_0, py35cuda8.0cudnn6.0_1, py36ha7e2fe3_0, py36h77f5d31_0, py36cuda8.0cudnn6.0_1, py35cuda8.0cudnn6.0_0, py36cuda8.0cudnn6.0_0, py27h01caf0a_0
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
jjh_cio_testing/tensorflow-gpu-broadwell-base | | conda | linux-64 | py27hc5f3c7c_1, py36hc5f3c7c_1
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
jjh_cio_testing/tensorflow-gpu-haswell-base | | conda | linux-64 | py36h9b5fe53_1, py27h9b5fe53_1
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
jjh_cio_testing/tensorflow-gpu-ivybridge-base | | conda | linux-64 | py36h41896c3_1, py27h41896c3_1
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
jjh_cio_testing/tensorflow-gpu-sandybridge-base | | conda | linux-64 | py36h5bae7ea_1, py27h5bae7ea_1
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
jjh_cio_testing/tensorflow-haswell-base | | conda | linux-64 | py27h285635a_2, py36h285635a_2
: TensorFlow is a machine learning library, base package contains only tensorflow.
jjh_ppc64le/tensorflow | 1.2.1 | conda | linux-ppc64le | py27_0, py36_0, np112py36_0, np112py35_0, np112py27_0, py35_0
: TensorFlow is a machine learning library
jjh_ppc64le/tensorflow-gpu | 1.2.1 | conda | linux-ppc64le | py27cuda8.0cudnn6.0_0, np112py36_0, np112py35_0, py35cuda8.0cudnn6.0_0, py36cuda8.0cudnn6.0_0, np112py27_0
: TensorFlow is a machine learning library
jjhelmus/tensorflow | 1.9.0 | conda, pypi | linux-64, osx-64 | gpu_py35hd9c640d_0, eigen_py36hb995bb4_0, hb1b1514_0, mkl_py36hdb377fd_0, eigen_py35h5ed898b_0, gpu_py36h97a2126_0, gpu_py36h8dbd23f_0, hc2d9325_0, gpu_py27h6f941b3_0, py27_2, py27_1, py27_0, gpu_py27h67ad7fe_0, gpu_py36hcebf108_0, mkl_py35heddcb22_0, h01c6a4e_0, gpu_py35ha6119f3_0, eigen_py36hbec2359_0, h7b2774c_0, h16da8f2_0, h645107b_0, hb11d968_0, h2742514_0, h5c3c37f_0, eigen_py27ha0ab958_0, gpu_py27h9580370_0, py34_1, py34_0, gpu_py35h566a776_0, h57681fa_0, h469b60b_0, mkl_py27h857755f_0, hb381393_0, py35_1, py35_0, mkl_py36h6d6ce78_0
: TensorFlow is a machine learning library.
jjhelmus/tensorflow-base | 1.12.0 | conda | linux-64 | mkl_py27h3c3e929_0, py27h4df133c_0, gpu_py36had579c0_0, py27hee38f2d_0, gpu_py35h6ecc378_0, gpu_py27had579c0_0, py35h4df133c_0, py35hc1a7637_0, gpu_py27h3435052_0, py36hdbcaa40_2, py36hdbcaa40_0, py36hdbcaa40_1, py35hee38f2d_0, eigen_py36hdfca3bf_0, py35h5f64886_0, eigen_py35h4dcebc2_0, py36h4df133c_0, mkl_py35h3c3e929_0, gpu_py35h3435052_0, py36hc1a7637_0, with_mkldnn, py27h5f64886_0, gpu_py36h3435052_0, py36hee38f2d_0, eigen_py36h4dcebc2_0, gpu_py27h6ecc378_0, mkl_py36h3c3e929_0, eigen_py27h4dcebc2_0, gpu_py36h6ecc378_0, gpu_py35had579c0_0, py27hc1a7637_0, no_mkldnn, py36h5f64886_0, gpu_py36h8e0ae2d_0, mkl_py36h2ca6a6a_0, mkl_py36h2ca6a6a_1
: TensorFlow is a machine learning library, base package contains only tensorflow.
jjhelmus/tensorflow-eigen | 1.9.0 | conda | linux-64 | h08ee40d_0, h97799b2_0
: Metapackage for selecting a TensorFlow variant.
jjhelmus/tensorflow-estimator | 1.13.0 | conda | noarch | py_0
: TensorFlow Estimator
jjhelmus/tensorflow-gpu | 1.0.1 | conda | linux-64 | py27_2, np112py35_5, np112py36_5, hf154084_0, np112py27_5, h7b35bdc_0
: Metapackage for selecting a TensorFlow variant.
jjhelmus/tensorflow-gpu-base | 1.6.0 | conda | linux-64 | py27cuda8.0cudnn6.0_1, py27h8a131e3_0, py36h8a131e3_0, py36h5b7bae4_1, py36had95abb_0, py36hcdda91b_1, py35had95abb_0, py27had95abb_0, py35cuda8.0cudnn6.0_1, py35h8a131e3_0
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
kevin-keraudren/tensorflow | 0.9.0 | conda | linux-64 | py35_12
kite-eating-tree/r-tensorflow | 1.4.3 | conda | linux-64 | mro343_0, py36r3.4.1_0, r3.4.1_0, r342h935e3b1_0, r343h889e2dd_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
kitware-danesfield-df/tensorflow | 1.9.0 | conda | linux-64 | gpu_py36h02c5d5e_1
: TensorFlow is a machine learning library.
kitware-danesfield-df/tensorflow-base | 1.9.0 | conda | linux-64 | gpu_py36h6ecc378_0
: TensorFlow is a machine learning library, base GPU package, tensorflow only.
kitware-danesfield-df/tensorflow-gpu | 1.9.0 | conda | linux-64 | hf154084_0
: Metapackage for selecting a TensorFlow variant.
loopbio/tensorflow | 1.3.0 | conda | linux-64 | cuda8_cudnn6_mkl_xla_1
: TensorFlow is a machine learning library
lwalkling/tensorflow-gpu | 1.8.0rc1 | conda | win-64 | 0
: TensorFlow helps the tensors flow
marta-sd/tensorflow | 1.2.0 | conda | linux-64 | py27_2, py35hbaace4d_3, py27he497762_3, py36_2, py36hb9c984a_3, py35_2
marta-sd/tensorflow-gpu | 1.2.0 | conda | linux-64 | py27_1, py36h1323ef4_2, py36_1, py27_0, py35hddb9974_2, py27h4f63904_2, py35_0, py35_1
mbaijal/dlami-tensorflow | 1.12.0 | conda | linux-64 | poc_2
: Enter the Summary Here
mbaijal/meta-tensorflow | 1.12.0 | conda | linux-64 | 11, 10, 13, 12, 1, 2, 7, 9, 8
mbaijal/poc-tensorflow | 1.12.0 | conda | linux-64 | 12
mbaijal/tensorflow | 1.12.0 | conda | linux-64 | gpu_op_0, py36_0, op_1, cpu_op_0, gpu_py36_5, gpu_py36_4, py36_14, gpu_py36_6, gpu_py36_1, gpu_py36_2, py27_21, gpu_6, gpu_7, gpu_4, gpu_5, gpu_2, gpu_3, gpu_0, gpu_1, gpu_8, gpu, cpu_py36_1, gpu_10, py36_21, gpu_12, py27_14, cpu_py36_4, gpu_11, gpu_13
: Enter the Summary Here
memex/tensorflow | 0.5.0 | conda | linux-64, osx-64 | py27_2
: TensorFlow helps the tensors flow
mhworth/tensorflow | 0.7.1 | conda | osx-64 | py27_1
: TensorFlow helps the tensors flow
miovision/tensorflow | 0.10.0.gpu | conda | linux-64, osx-64 | py35_1
mirocody/tensorflow | 1.7.0 | conda | linux-64 | py36_0, py27_0
: Deep Learning Framework by Google
mro_test/r-tensorflow | 1.5 | conda | linux-64 | mro350h576908c_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
msarahan/tensorflow | 1.0.0rc2 | conda | linux-64 | np111py36_0, np111py27_0, np111py35_0, np111py34_0
mutirri/tensorflow | 0.10.0rc0 | conda | linux-64 | np111py27_0, np111py35_0, np111py34_0
mwojcikowski/tensorflow | 1.0.1 | conda | linux-64 | py36_0, py35_0, py35_1
n-west/tensorflow | 1.11.0 | conda | osx-64 | py35_0
n-west/tensorflow-cpu | 1.10.1 | conda | osx-64 | py35_0
nehaljwani/tensorflow | 1.2.1 | conda | osx-64, win-64 | np112py27_0, py36_0, np112py36_0, np112py35_0, py35_0
: TensorFlow is a machine learning library
nehaljwani/tensorflow-base | 1.8.0 | conda | win-64 | py36h1a1b453_0, py35h1a1b453_0
: TensorFlow is a machine learning library, base package contains only tensorflow.
nehaljwani/tensorflow-gpu | 1.1.0 | conda | win-64 | np112py36_0, np112py35_0
: TensorFlow is a machine learning library
nnsrl/r-tensorflow | 1.9 | conda | linux-64 | r350h6115d3f_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
nwani/tensorflow | 1.13.1 | conda | osx-64, win-64 | eigen_py36h0b764b7_0, eigen_py36h0b764b7_1, eigen_py27hf93ee88_0, eigen_py36hf07811a_1, mkl_py36h41bbc20_0, eigen_py36h0906837_0, mkl_py35h4a0f5c2_0, eigen_py27h6ba8707_0, eigen_py36h346fd36_0, gpu_py35h0075c17_1, gpu_py36ha5f9131_0, mkl_py36h2b2bbaf_0, eigen_py27hdc0099c_0, mkl_py27h6c571c4_0, mkl_py35h34e052c_1, gpu_py36h9006a92_0, mkl_py36hb361250_0, gpu_py37hbc1a9d5_0, gpu_py36h5dc63e2_0, eigen_py27hc3c435f_1, gpu_py35ha5d5ef7_0, mkl_py27h45ac830_1, eigen_py36hf0a88a9_0, eigen_py37h2a8d240_0, mkl_py37h9463c59_0, eigen_py35h38c8211_0, mkl_py27h5e07bc0_0, eigen_py36hce7705b_0, eigen_py36h849fbd8_0, eigen_py35h40edd97_1, eigen_py36hae858b4_0, eigen_py35h5ac2770_0, eigen_py36h67ac661_0, mkl_py36h44b7a51_0, mkl_py36hd212fbe_0, gpu_py36h1635174_0, gpu_py36h3514669_0, mkl_py36h4fc8490_1, gpu_py36hfdee9c2_1, gpu_py37h83e5d6a_0, mkl_py36h4f00353_0, eigen_py35hb0e21f4_1
: TensorFlow is a machine learning library.
nwani/tensorflow-base | 1.13.1 | conda | win-64, osx-64 | eigen_py36h4f0eeca_0, mkl_py35h81393da_0, mkl_py36hcaf7020_0, gpu_py36h6e53903_0, mkl_py27h70e0e9a_0, mkl_py35h70e0e9a_0, mkl_py36h70e0e9a_0, eigen_py37hf8af7b3_0, gpu_py36h0fff12a_0, gpu_py37h0fff12a_0, eigen_py35h45df0d8_0, eigen_py35h4f0eeca_0, gpu_py35h6e53903_0, gpu_py36h871c8ca_0, mkl_py37hcaf7020_0, mkl_py36h81393da_0, eigen_py36h45df0d8_0, eigen_py27h4f0eeca_0, eigen_py36hf8af7b3_0, gpu_py37h871c8ca_0
: TensorFlow is a machine learning library, base package contains only tensorflow.
nwani/tensorflow-eigen | 1.13.1 | conda | osx-64, win-64 | h68edfc2_0, h97799b2_0
: Metapackage for selecting a TensorFlow variant.
nwani/tensorflow-gpu | 1.13.1 | conda | win-64 | hf154084_0, h0d30ee6_0
: Metapackage for selecting a TensorFlow variant.
qiqiao/tensorflow | 1.9.0 | conda | linux-64 | py36_1, py36_0, py27_1, py27_0
: Custom Conda Package for Tensorflow 1.9
r/r-tensorflow | 1.10 | conda | linux-64, win-32, win-64, linux-32, osx-64 | py36r3.4.1_0, r342h38ebd79_0, r351hf348343_0, r351h6f4ce42_0, r343h6115d3f_0, mro351_0, mro343h889e2dd_0, r342h0e1eca8_0, mro350h576908c_0, r342hd3d5cfb_0, r342h0bf44f9_0, r3.4.1_0, mro351hf348343_0, r343h889e2dd_0, r350h912f1d8_0, r351h6115d3f_0, r350h6115d3f_0, r342h935e3b1_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
rdonnellyr/r-tensorflow | 1.8 | conda | osx-64 | mro351_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
rocm/tensorflow | 1.10.0 | conda | linux-64 | rocm_py36h4c7c5b9_0, rocm_py27h37a2e76_0, rocm_py35h4a82bb7_0
: TensorFlow is a machine learning library.
rocm/tensorflow-base | 1.10.0 | conda | linux-64 | rocm_py27h43d396a_0, rocm_py35h2a98188_0, rocm_py35h43d396a_0, rocm_py36h43d396a_0
: TensorFlow is a machine learning library, base AMD ROCm GPU package, tensorflow only.
sdvillal/tensorflow | 1.3.0 | conda | linux-64 | cuda8_cudnn6_mkl_xla_1, cuda8_cudnn6_mkl_xla_0, py27_1, py27_0
: TensorFlow is a machine learning library
test_org_002/tensorflow | 0.10.0rc0 | conda | [] | np111py27_0, np111py35_0, np111py34_0
tkharrat/r-tensorflow | 1.9 | conda | linux-64 | h889e2dd_0
: Interface to 'TensorFlow' <https://www.tensorflow.org/>, an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more 'CPUs' or 'GPUs' in a desktop, server, or mobile device with a single 'API'. 'TensorFlow' was originally developed by researchers and engineers working on the Google Brain Team within Google's Machine Intelligence research organization for the purposes of conducting machine learning and deep neural networks research, but the system is general enough to be applicable in a wide variety of other domains as well.
xxbandy123/tensorflow | 1.6.0 | conda | linux-64 | py27_cuda8.0_cudnn6.0h05b7654_0, py27_none_cuda8.0_cudnn6.0h6604e9d_0, py27_cuda8.0_cudnn6.0h2a7e788_0
Found 100 packages
Run 'anaconda show <USER/PACKAGE>' to get installation details
发现有两个：nwani、anaconda
分别尝试：
conda install --channel https://conda.anaconda.org/nwani tensorflowconda install --channel https://conda.anaconda.org/anaconda tensorflow由于网络问题笔者一直失败。
下面补上离线包链接
https://pypi.org/project/tensorflow/#files
各种版本都有，按需下载即可。
安装：pip install 路径+whl文件名
检验：pip list
到此结束！