commit | ebf76d2c1e3a24e84565d5b3ea7fc7f944924a97 | [log] [tgz] |
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author | Skye Wanderman-Milne <skyewm@google.com> | Wed Jun 30 17:19:44 2021 -0700 |
committer | TensorFlower Gardener <gardener@tensorflow.org> | Wed Jun 30 17:25:04 2021 -0700 |
tree | 36c685609b5dcb7cfcb455bf8c62e4e09209a12c | |
parent | 9eba748ea4902f5680e178fcf762ea16f4a2e4fc [diff] |
[XLA:PJRT][XLA:Python] Add TPU executable de/serialization methods. The methods are added to PjRtClient and not PjRtExecutable since only the client has subclasses for each platform, and we need to use platform-specific functionality. This is currently only plumbed through for the StreamExecutor + TPU path. GPU, CPU, and TFRT require lower-level serde methods before we can add them to the PJRT + Python layers. This change also: * Factors out some PjRtStreamExecutorClient::Compile logic into a new GetExecutableExtras method, so it can be re-used by the new deserialization method. * Makes PjRtTpuClient non-anonymous, so it can be a friend class to PjRtStreamExecutorExecutable in order to call SetUpDonation when creating a new executable during deserialization. PiperOrigin-RevId: 382418203 Change-Id: Ic576a39cbd9e193c5068c77faf3fe932981d89aa
Documentation |
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TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.
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Linux CPU | PyPI | |
Linux GPU | PyPI | |
Linux XLA | TBA | |
macOS | PyPI | |
Windows CPU | PyPI | |
Windows GPU | PyPI | |
Android | ||
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