| commit | 4eb24e50a79ea40a6ef2a6ed2497638fe51ed094 | [log] [tgz] |
|---|---|---|
| author | Berkin Ilbeyi <berkin@google.com> | Mon Dec 02 13:52:40 2019 -0800 |
| committer | TensorFlower Gardener <gardener@tensorflow.org> | Mon Dec 02 14:17:02 2019 -0800 |
| tree | a4eef20dad7cdb3a251b9d59fee0b8e73418ce36 | |
| parent | 7f347e6aa489e9e44f78feb4592f50d5d6bf94dc [diff] |
[XLA] Fix a scheduling bug with evictions to default mem. When simplifying the graph for dead code, we were previously removing the deleted instruction from the schedule. However, the scheduler, which is run after SimplifyGraph, relies on the original logical time (index into the instruction schedule). So, when some instructions have been deleted, we end up scheduling certain operation later than intended. Most seriously, the evictions could have been scheduled later than they were supposed to, corrupting the memory since we might have reused the evicted memory. The solution is to mark the deleted instructions with a nullptr in the schedule instead of actually deleting them. PiperOrigin-RevId: 283410438 Change-Id: Ia671ede14469dd00ac218cfb8d714e171152bb37
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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$ python
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| Build Type | Status | Artifacts |
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| Linux CPU |  | PyPI |
| Linux GPU |  | PyPI |
| Linux XLA |  | TBA |
| macOS |  | PyPI |
| Windows CPU |  | PyPI |
| Windows GPU |  | PyPI |
| Android |  |  |
| Raspberry Pi 0 and 1 |   | Py2 Py3 |
| Raspberry Pi 2 and 3 |   | Py2 Py3 |
| Build Type | Status | Artifacts |
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| Linux AMD ROCm GPU Nightly | Nightly | |
| Linux AMD ROCm GPU Stable Release | Release 1.15 / 2.x | |
| Linux s390x Nightly | Nightly | |
| Linux s390x CPU Stable Release | Release | |
| Linux ppc64le CPU Nightly | Nightly | |
| Linux ppc64le CPU Stable Release | Release 1.15 / 2.x | |
| Linux ppc64le GPU Nightly | Nightly | |
| Linux ppc64le GPU Stable Release | Release 1.15 / 2.x | |
| Linux CPU with Intel® MKL-DNN Nightly | Nightly | |
| Linux CPU with Intel® MKL-DNN Supports Python 2.7, 3.4, 3.5, 3.6 and 3.7 | 1.14.0 PyPI | |
| Red Hat® Enterprise Linux® 7.6 CPU & GPU Python 2.7, 3.6 | 1.13.1 PyPI |
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