| commit | 770d9ef305f997c1f2cc1ab846ebd0771c07d441 | [log] [tgz] |
|---|---|---|
| author | Terry Heo <terryheo@google.com> | Tue Oct 19 19:48:37 2021 -0700 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Tue Oct 19 19:53:53 2021 -0700 |
| tree | 2a5f57883edbeed1df6d3b636c9fd32187624c1e | |
| parent | a1320ec1eac186da1d03f033109191f715b2b130 [diff] |
Refactor inputs/outputs handling of WHILE op With the new Subgraph::RemoveUnusedInputs() API, we can remove unnecessary inputs of COND subgraph. Copying inputs and outputs of subgraphs are changed as the following. [Original loop] 1. eval cond 2. copy cond inputs to body inputs 3. eval body 4. copy body outputs to cond inputs [While with static outputs] 1. eval cond 2. copy body outputs to body inputs 3. eval body 4. copy body outputs to cond inputs (fast) [While with dynamic outputs] 1. eval cond 2. copy WHILE op outputs to body inputs 3. eval body 4. copy body outputs to cond inputs (fast) 5. copy body outputs to WHILE op outputs This change improves latency for static outputs cases. And no latency increase is observed with dynamic outputs cases. And regardless of the outputs type, the memory usage is improved since it doesn't need to keep unused inputs with COND subgraph. PiperOrigin-RevId: 404424553 Change-Id: I6aaee2e89ef46cc1ca2db15ae79eb5c7b97ea235
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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 GPU |  | PyPI |
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| macOS |  | PyPI |
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