Package: bazel Priority: optional Section: contrib/devel Installed-Size: 87227 Maintainer: The Bazel Authors Architecture: amd64 Version: 0.11.1-dist-0+pn1 Depends: openjdk-8-jdk-headless | java8-sdk-headless, g++, zlib1g-dev, bash-completion, libc6 (>= 2.14), libgcc1 (>= 1:3.0), libstdc++6 (>= 6) Conflicts: openjdk-9-jdk Filename: pool/contrib/b/bazel/bazel_0.11.1-dist-0+pn1_amd64.deb Size: 86974694 MD5sum: ea67d9b91a781c2fa95ed67da5a16540 SHA1: a74b91428a074c11f82c5479f3320f1a3d5e7df8 SHA256: cafec098d0a98e485bf8deeeccda1ffff2e1d40a9d674c87f1274099375fef20 SHA512: 1da09e38e0fe1667c9f789d1a05d2632f5fbdae968ae63820e72684270ba991b7292850d18506d527fa6b50632f410e9e344e48eb65780d65af4e8bd461bc25a Description: tool that automates software builds and tests Supported build tasks include running compilers and linkers to produce executable programs and libraries, and assembling deployable packages for Android, iOS and other target environments. Bazel is similar to other tools like Make, Ant, Gradle, Buck, Pants and Maven. Homepage: http://bazel.build Package: python-grpcio Priority: optional Section: contrib/python Installed-Size: 3240 Maintainer: Benjamin Moody Architecture: amd64 Source: grpcio Version: 1.8.6-0+pn1 Depends: python (<< 2.8), python (>= 2.7~), python-concurrent.futures, python-enum34 (>= 1.0.4), python-protobuf, python-six (>= 1.5.2), python:any (<< 2.8), python:any (>= 2.7.5-5~), libc6 (>= 2.10), libstdc++6 (>= 4.1.1) Filename: pool/contrib/g/grpcio/python-grpcio_1.8.6-0+pn1_amd64.deb Size: 1122614 MD5sum: c1073c60a22570f0b0b8642dd8b52320 SHA1: abd8d44e8ad6e0f45f94d9a1cc73bdc769e1bdd9 SHA256: e081df113409df3153e1f0096819339c32aa060d32193cde759303a718bbefac SHA512: 9ec412474a2eda64ebced9bb0995e9b26bf2e270f749de48d496ee0c23476772795eb37b64ddb7cc2d7994867998eb267c37bbdedc1b47b4e3d96792e166e682 Description: Google RPC Library (Python 2) Remote Procedure Calls (RPCs) provide a useful abstraction for building distributed applications and services. The libraries in this repository provide a concrete implementation of the gRPC protocol, layered over HTTP/2. These libraries enable communication between clients and servers using any combination of the supported languages. . This package installs the library for Python 2. Package: python-tensorflow Priority: optional Section: contrib/python Installed-Size: 178282 Maintainer: Benjamin Moody Architecture: amd64 Source: tensorflow Version: 1.9.0-0+pn1 Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libstdc++6 (>= 6), python (<< 2.8), python (>= 2.7~), python-numpy (>= 1:1.13.3), python-numpy-abi9, python:any (<< 2.8), python:any (>= 2.7.5-5~), python-absl-py (>= 0.1.6), python-astor (>= 0.6.0), python-backports.weakref (>= 1.0), python-enum34 (>= 1.1.6), python-gast (>= 0.2.0), python-grpcio (>= 1.8.6), python-termcolor (>= 1.1.0), python-mock (>= 2.0.0), python-protobuf (>= 3.4.0), python-setuptools (<= 39.1.0), python-six (>= 1.10.0), python-wheel Filename: pool/contrib/t/tensorflow/python-tensorflow_1.9.0-0+pn1_amd64.deb Size: 28205196 MD5sum: 714279b53691b0b886afb3af843fac19 SHA1: ebb994c16283e88fc349dcf3d8ecb83ce0b79830 SHA256: c0847f58dbcae770825f15c71bba13cba7ac9a4eba311220aacd58577850887d SHA512: eb84b2ea51142b06480e76a6fda83a1f3f7d7b6d726688084f8875d3e6e511c789fde16853a5984788887af71720a5e52326e9816f0c0cc7d7e617fcaf25e94c Description: Computation using data flow graphs for machine learning (Python 2) TensorFlow is 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) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit. . 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. The system is general enough to be applicable in a wide variety of other domains, as well. . This package contains the TensorFlow library for Python 2. Package: python3-grpcio Priority: optional Section: contrib/python Installed-Size: 3240 Maintainer: Benjamin Moody Architecture: amd64 Source: grpcio Version: 1.8.6-0+pn1 Depends: python3 (<< 3.6), python3 (>= 3.5~), python3-protobuf (>= 3.5.0), python3-six (>= 1.5.2), python3:any (>= 3.3.2-2~), libc6 (>= 2.10), libstdc++6 (>= 4.1.1) Filename: pool/contrib/g/grpcio/python3-grpcio_1.8.6-0+pn1_amd64.deb Size: 1123004 MD5sum: 194acf988af8e8e5e832778fb2e9dde3 SHA1: 9692a9438672626d861c11f010bf7eb38b4b8c11 SHA256: 97310d6885544c03d1dc04895541fe2b129cc29acd142e402e12d1fd5b15e826 SHA512: 222e37e3c13a462674ec905a176f7798ea8b711d4f0c086e720b6c5693f20ec447d18627fe09168ba5e529519a2a0524da4e608dee04843222618cd7792a5eeb Description: Google RPC Library (Python 3) Remote Procedure Calls (RPCs) provide a useful abstraction for building distributed applications and services. The libraries in this repository provide a concrete implementation of the gRPC protocol, layered over HTTP/2. These libraries enable communication between clients and servers using any combination of the supported languages. . This package installs the library for Python 3. Package: python3-tensorflow Priority: optional Section: contrib/python Installed-Size: 178310 Maintainer: Benjamin Moody Architecture: amd64 Source: tensorflow Version: 1.9.0-0+pn1 Depends: libc6 (>= 2.23), libgcc1 (>= 1:3.0), libstdc++6 (>= 6), python3 (>= 3.5~), python3-numpy (>= 1:1.13.3), python3-numpy-abi9, python3:any (>= 3.3.2-2~), python3 (<< 3.6), python3-absl-py (>= 0.1.6), python3-astor (>= 0.6.0), python3-gast (>= 0.2.0), python3-grpcio (>= 1.8.6), python3-protobuf (>= 3.4.0), python3-setuptools (<= 39.1.0), python3-six (>= 1.10.0), python3-termcolor (>= 1.1.0), python3-wheel (>= 0.26) Filename: pool/contrib/t/tensorflow/python3-tensorflow_1.9.0-0+pn1_amd64.deb Size: 28204802 MD5sum: f3be8f3aba80ab45ab566d62f76db76d SHA1: 5b9b276f7d0bdbd70639ac265fe1117ca177bf74 SHA256: 532fa6f81783c6eed8522d5700e6686117c5840b9d7da68c701459d4c1fbd0ca SHA512: 0dbd956fe5725dbe8147361485a296b99076a664b0ff36786f878c08bad3c46c434bf641ab6d2591522fe0be720d36ac4f96a97574203702a15f38fab829466d Description: Computation using data flow graphs for machine learning (Python 3) TensorFlow is 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) that flow between them. This flexible architecture lets you deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device without rewriting code. TensorFlow also includes TensorBoard, a data visualization toolkit. . 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. The system is general enough to be applicable in a wide variety of other domains, as well. . This package contains the TensorFlow library for Python 3.