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[tensorflow][build][test] update TF2.3 for pillow to 8.2.0 #1072
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it is failing due to instance capacity issues, please don't retry any jobs |
* aws/master: [pytorch][release] Release pt1.6 Inference cpu, gpu and training cpu (aws#1074) [tensorflow, pytorch] [build] [test] [ec2, ecs, eks, sagemaker] Add EFA stack and tests (aws#1044) [pytorch][build][test] Update PT1.6.0 for pillow to 8.2.0 (aws#1071) Revert "[build,test] Disable dedicated telemetry tests and tags (aws#1045)" (aws#1055)
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running just |
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All TF2 tests are green as well |
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APPROVED.
Issue #, if available:
PR Checklist
Pytest Marker Checklist
@pytest.mark.model("<model-type>")to the new tests which I have added, to specify the Deep Learning model that is used in the test (use"N/A"if the test doesn't use a model)@pytest.mark.integration("<feature-being-tested>")to the new tests which I have added, to specify the feature that will be tested@pytest.mark.multinode(<integer-num-nodes>)to the new tests which I have added, to specify the number of nodes used on a multi-node test@pytest.mark.processor(<"cpu"/"gpu"/"eia"/"neuron">)to the new tests which I have added, if a test is specifically applicable to only one processor typeEIA/NEURON Checklist
src/config/build_config.pyin my PR branch by settingENABLE_EI_MODE = TrueorENABLE_NEURON_MODE = TrueBenchmark Checklist
src/config/test_config.pyin my PR branch by settingENABLE_BENCHMARK_DEV_MODE = TrueReviewer Checklist
Description:
Tests run:
DLC image/dockerfile:
Additional context:
By submitting this pull request, I confirm that my contribution is made under the terms of the Apache 2.0 license. I confirm that you can use, modify, copy, and redistribute this contribution, under the terms of your choice.