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[ROCm] Added ROCm support for the extract_volume_patches op #26896

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parallelo
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This minor mod adds ROCm support for the extract_volume_patches op.

Background info

These ops are fundamental to TensorFlow, and this mod has been running for more than 1 year on our ROCm port of TF.

We have published docker images at: https://hub.docker.com/r/rocm/tensorflow/tags
And also PyPI packages: https://pypi.org/project/tensorflow-rocm/

For a sample ROCm test run you can refer to:
http://ml-ci.amd.com:21096/job/tensorflow-upstream-unit-tests/721/console

//tensorflow/python/kernel_tests:extract_volume_patches_op_test          PASSED in 2.2s

@rthadur rthadur self-requested a review March 19, 2019 20:31
@rthadur rthadur self-assigned this Mar 19, 2019
@rthadur rthadur added this to Assigned Reviewer in PR Queue via automation Mar 19, 2019
@rthadur rthadur added comp:ops OPs related issues size:XS CL Change Size: Extra Small labels Mar 19, 2019
@rthadur rthadur requested review from gunan and removed request for rthadur March 19, 2019 21:32
@whchung whchung added the kokoro:force-run Tests on submitted change label Mar 20, 2019
@kokoro-team kokoro-team removed the kokoro:force-run Tests on submitted change label Mar 20, 2019
@rthadur rthadur requested a review from chsigg May 16, 2019 18:20
PR Queue automation moved this from Assigned Reviewer to Approved by Reviewer May 17, 2019
@tensorflow-bot tensorflow-bot bot added kokoro:force-run Tests on submitted change ready to pull PR ready for merge process labels May 17, 2019
@kokoro-team kokoro-team removed the kokoro:force-run Tests on submitted change label May 17, 2019
@tensorflow-copybara tensorflow-copybara merged commit 1d27818 into tensorflow:master May 17, 2019
PR Queue automation moved this from Approved by Reviewer to Merged May 17, 2019
tensorflow-copybara pushed a commit that referenced this pull request May 17, 2019
…xtract_volume_patches_op

PiperOrigin-RevId: 248776319
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cla: yes comp:ops OPs related issues ready to pull PR ready for merge process size:XS CL Change Size: Extra Small
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8 participants