- 26 6月, 2020 2 次提交
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由 Austin Anderson 提交于
I forgot about the trouble using '<' in pip dependencies on the CLI. This time I verified the build works. PiperOrigin-RevId: 318332763 Change-Id: I347aee8121464232222e72d89409c600159ee80c
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由 Austin Anderson 提交于
See #40688. PiperOrigin-RevId: 318122157 Change-Id: Ief46c5610f3aaf0cdd7d43ce1a10d6d87e8e8e01
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- 09 6月, 2020 1 次提交
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由 Jakob Buchgraber 提交于
PiperOrigin-RevId: 315483879 Change-Id: I4be29ffa3c425f01c28dc8c95250209a2b0bada4
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- 15 4月, 2020 1 次提交
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由 Gunhan Gulsoy 提交于
PiperOrigin-RevId: 306572687 Change-Id: I49448295cdd088eb114a7d518dd0db1822f2d7a6
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- 07 4月, 2020 1 次提交
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由 Austin Anderson 提交于
Resolves #38247 PiperOrigin-RevId: 305114966 Change-Id: I83d00699783f9827ab526533fdeaaa3012086e66
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- 04 4月, 2020 1 次提交
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由 Austin Anderson 提交于
This completes the plan announced in https://groups.google.com/a/tensorflow.org/d/msg/developers/5ZZG7M5E6FQ/zKv6uFn1EgAJ, removing all Python 2 considerations from our Dockerfiles. There are no longer any -py3 tags, as all the images are running Python 3. Resolves #36971 and #37422. We're not able to dedicate the time to maintaining multiple versions of Python 3 at this time, unfortunately. PiperOrigin-RevId: 304650599 Change-Id: Ib2b21e809f242fe914fb407381d8eaaa20f2ef99
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- 13 12月, 2019 1 次提交
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由 Francois Chollet 提交于
the implementation of Keras Applications across tf.keras and multi-backend Keras. PiperOrigin-RevId: 285302893 Change-Id: I06084c6827df651c68547c488e9fcad908d36796
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- 12 12月, 2019 2 次提交
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由 A. Unique TensorFlower 提交于
the implementation of Keras Applications across tf.keras and multi-backend Keras. PiperOrigin-RevId: 285107804 Change-Id: I8cb04dc0bb665d2b51c3f41a23c2226d2ac4a29f
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由 Francois Chollet 提交于
the implementation of Keras Applications across tf.keras and multi-backend Keras. PiperOrigin-RevId: 285084218 Change-Id: I27f574cae7476dda0161759470663ee89f3b4df6
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- 04 5月, 2019 1 次提交
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由 Yifei Feng 提交于
PiperOrigin-RevId: 246550182
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- 21 12月, 2018 1 次提交
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由 Taylor Jakobson 提交于
Add support for ppc64le dockerfiles with newest assembler changes.
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- 15 12月, 2018 1 次提交
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由 Toby Boyd 提交于
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- 05 12月, 2018 1 次提交
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由 Steve Nesae 提交于
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- 30 11月, 2018 1 次提交
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由 Austin Anderson 提交于
This is a big upgrade to the Dockerfile assembler I wrote a couple of months ago. The spec has changed, the script has been rewritten, and there are new features throughout: - The assembler can build and upload images to Docker Hub. - The assembler can also run tests (!), although the testing system is extremely rudimentary. It could be expanded with parallelism later, if execution time becomes a problem. - spec.yml is totally different, and now defines both dockerfiles and images. It handles the combinatorial explosion of multiple optional features without excessive duplication, unlike the previous spec format. - Partials are the same, but I dumped the extensive dockerfile documentation support because I don't think anyone would have used it. - Dockerfiles are handled under the same kind of system as images, which is neat. The new Dockerfiles aren't so duplicated. - I've upgraded the images with new tensorflow tutorial files (jupyter only) and fixed some others that didn't actually work. - I've improved the development documentation by suggesting aliases. - Added "static-dockerfiles" directory to track independent Dockerfiles. These changes should better support changes like #23194.
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- 01 8月, 2018 1 次提交
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由 Austin Anderson 提交于
This change adds a new suite of TensorFlow dockerfiles. The dockerfiles come from an assembler controlled by a yaml spec, and are based on a set of re-usable partial dockerfiles. The assembler and spec include conveniences like spec validation, references to other images and specs for minimizing repetition, and arg expansion.
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