bert-base-cased.jsonnet
0164de5c5cd4main

bert-base-cased.jsonnet
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			local base = import 'templates/base.libsonnet';
			local tpus = import 'templates/tpus.libsonnet';
			local utils = import "templates/utils.libsonnet";
			local volumes = import "templates/volumes.libsonnet";

			local bertBaseCased = base.BaseTest {
			frameworkPrefix: "hf",
			modelName: "bert-base-cased",
			mode: "example",
			configMaps: [],

			timeout: 3600, # 1 hour, in seconds

			image: std.extVar('image'),
			imageTag: std.extVar('image-tag'),

			tpuSettings+: {
			softwareVersion: "pytorch-nightly",
			},
			accelerator: tpus.v3_8,

			volumeMap+: {
			datasets: volumes.PersistentVolumeSpec {
			name: "huggingface-cluster-disk",
			mountPath: "/datasets",
			},
			},
			command: utils.scriptCommand(
			\|\|\|
			python -m pytest -s transformers/examples/test_xla_examples.py -v
			test_exit_code=$?
			echo "\nFinished running commands.\n"
			test $test_exit_code -eq 0
			\|\|\|
			),
			};

			bertBaseCased.oneshotJob