Atari test #5796
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Atari test #5796
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* add assembly * Enable FL Sever in SGX * Change the url in tutorial.md * Add start-fl-server.py to Docker Image * rm ppml-assebly.xml * Add start-python-fl-server-sgx.sh to Docker Image * Put start-fl-server.py into assembly * Update 3.1.2 Start FL Server in SGX in pytorch-nn-lr-tutorial.md * Change the location of start-fl-server.py * Correct the path in start-python-fl-server-sgx.sh * Delete -r in cp command Co-authored-by: Jiaming <[email protected]>
* fix tf inc metric format * re-run actions * Apply suggestions from code review Co-authored-by: Zhentao Chen <[email protected]> * Update Co-authored-by: Zhentao Chen <[email protected]>
* fix: update known-issues. * fix: fix wording.
Migrate current jenkins CI/CD jobs to github action, this is chronos PR validation-Spark2.4-ray job
…ntel-analytics#5483) When the input data to AutoformerForecaster.predict() is incorrect, the error message is confusing. Thus, a new error message is added.
* notebook with nano * load with nano * modify readme * clear all outputs and enable benchmark_app * fix typo
…cs#5509) * add assembly * Enable FL Sever in SGX * Add start-fl-server.py to Docker Image * rm ppml-assebly.xml * Add start-python-fl-server-sgx.sh to Docker Image * Put start-fl-server.py into assembly Co-authored-by: Jiaming <[email protected]>
* rollback requirement-doc * Update * Update * Update * Update * Fix ipex with amp error * Fix unit test * Update * Remove redundant method * Fix error * remove redundant import * Update ut to conver cases
* add assembly * Enable FL Sever in SGX * Add start-fl-server.py to Docker Image * rm ppml-assebly.xml * Add start-python-fl-server-sgx.sh to Docker Image * Put start-fl-server.py into assembly * Fix the target directory Co-authored-by: Jiaming <[email protected]>
…cs#5465) * remove pyarrow dependency in tf2 ray backend * update ut to compare prediction results
…d and nightly_test (intel-analytics#5511) * reorg workflows * remove duplicate yamls * add dependencies
…ntel-analytics#5504) * feat: add save and load model doc to pytorch estimator quickstart. * fix: fix typo. * fix: fix typo * fix: fix typo. * feat: add doc to ray backend quickstart * fix: fix typo. * feat: add doc to ray backend quickstart
* feat: add shutdown API to tf2 pyspark estimator. * fix: replace raise with log4Error. * refactor: refactor the stop log server function. * fix: fix code style issue.
* fix: use default value if no hdfs port specified. * fix: add default hdfs port when saving pkl * refactor: replace pyarrow deps in estimator. * fix: add process wait() * fix: resolve unnecessary change
* Update * Fix code style * re-run action * Fix code style * re-run action * Update * Fix code style * support bf16 multi training * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * Update * reduce ut time and re-run action * track avx512 * Update lite bf16 training * Update * Update * Update bf16 api * Update * Fix typo
…el-analytics#5508) * feat: add get remote file to local decorator in orca file utils. * feat: add unit-test for local and s3 FS. * fix: update func name and comments. * fix: fix code style. * fix: fix code style. * fix: fix typo. * fix: fix import.
* fix save model in pyspark est * use a function to replace * use orca.data to replace dllib
* Add Xshards test to github actions * add file path * fix yml * fix csv path * fix csv path * fix yml * add wget * fic typo * fix typo * change csv file path * update pwd * add new line * delete a line * add time Co-authored-by: yansu <[email protected]>
* add assembly * Enable FL Sever in SGX * Add start-fl-server.py to Docker Image * rm ppml-assebly.xml * Add start-python-fl-server-sgx.sh to Docker Image * Put start-fl-server.py into assembly * Change some packages' edition * Fix the problem of fl/start-fl-server.py Co-authored-by: Jiaming <[email protected]>
Reason to change: tracker.py in ${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}.jar is not functional.
Instead of using tracker.py to build ${BIGDL_HOME}/jars/bigdl-dllib-spark_${SPARK_VERSION}-${BIGDL_VERSION}.jar,
we now use it to build xgboost4j_2.12-1.1.2.jar, which can be reached when executing xgboost examples.
* Create nightly-build-example-tests-ppml.yaml * Update nightly-build-example-tests-ppml.yaml Triggered by schedule * Update nightly-build-example-tests-ppml.yaml
* set use_hpo=True and add ut
* feat: add k8s related files * fix: change secure-argv to secure_argv in Gramine * fix: check if secured_argv exists with -f * fix: exit when not ready in init.sh * fix: change path of encalve-key in k8s template * feat: copy k8s directory to Gramine directory * mod: version in development * mod: enclave-key path * del: remove tmp build action * feat: Simplify deployment operations for users * doc: update README.md * doc: correct a typo * doc: correct typo * add spark pi on k8s scripts
* add composite actions * add manually build
* rollback requirement-doc * Add Nano PyTorch BF16 Example * Add comments and remove testing loop * Update
* Nano: Add tensorflow quantization example. * simplify quantize arguments * add some extra comments * delete concrete numbers * change dataset to cifar10 * change file name to cifar10 * improve code organization * remove unnecessary comments
* change to xgb to gbt * use overwrite to save
* update multi-task * fix * minor * minor
* update * update submit scripts
…mer (intel-analytics#5673) * fix input feature num != output feature num case * add updates
* error message
* update databricks doc * update databricks doc * update databricks doc * update databricks doc * update databricks doc * update databricks doc Co-authored-by: Zhou <[email protected]>
* update end to end gbt readme * update header location
…y deserialize untrusted data (intel-analytics#5666) * fix readObject deserialize untrusted data * use classTag[T] and use classof[modue] * remove double init inputStream * add accept pattern * accept Array * add EncodeUtils ut * add success case and refine fail case * add headers
* update graphene ppml examples * update graphene ppml examples Co-authored-by: Jin Hanyu <[email protected]>
* update mtnet model to decouple with orca * rename one of the method
Co-authored-by: Jin Hanyu <[email protected]>
Co-authored-by: Jin Hanyu <[email protected]>
…#5682) * first commit, add predict_interval * add return value of calculate * modify parameter name, only calculate data noise once * add ut for lstm, nbeats, s2s, tcn * add paper link, change evaluate to predict * modify data noise * add ut for loader c and change to mean_yhat * support confidence interval for autoformer
Co-authored-by: Jin Hanyu <[email protected]>
…alytics#5809) * update nano and chronos action trigger domain * update * delete orca.learn as a trigger
* support tf2.1 * meet review
* midterm push for working in cafe:) * add updates * remove confusing comments * consider the conflict between tsdataset.label_len and label_len * update according to comments, fix pep8 * add test cmt
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http://10.112.231.51:18888/job/ZOO-PR-BigDL-Python-ExampleTests/1123/ all example success. |
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Description
Because the license of atari package is GPL and an orca example
rl_pongneed this package.After deleting the package the jenkins test failed. So we delete the
rl_pongexample test inrun-example-test-ray.sh