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1 | 1 | # Changelog
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2 | 2 |
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3 |
| -## v0.1.0 (2019-05-22) |
| 3 | +## v2.0.0 (2019-06-03) |
4 | 4 |
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5 | 5 | ### Bug fixes and other changes
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6 | 6 |
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| 7 | + * Parameterize processor and py_version for test runs |
| 8 | + * use unique name for integration job hyperparameter tuning job |
| 9 | + * fix flake8 errors and add flake8 run in buildspec.yml |
| 10 | + * skip gpu SageMaker test in regions with limited amount of p2/3 i… |
7 | 11 | * skip setup on second remote run
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8 | 12 | * add setup file back
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9 | 13 | * add branch name to remote gpu test run command
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123 | 127 | * Creating initial file from template
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124 | 128 | * Initial commit
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125 | 129 |
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| 130 | +## v0.1.0 (2019-05-22) |
| 131 | + |
| 132 | +### Bug fixes and other changes |
| 133 | + |
| 134 | + * skip setup on second remote run |
| 135 | + * add setup file back |
| 136 | + * add branch name to remote gpu test run command |
| 137 | + * remove setup file in release build gpu test |
| 138 | + * ignore coverage in release build tests |
| 139 | + * use tar file name as framework_support_installable in build_all.py |
| 140 | + * Add release build |
| 141 | + * Explicitly set lower-bound for botocore version |
| 142 | + * Pull request to test codebuild trigger on TensorFlow script mode |
| 143 | + * Update integ test for checking Python version |
| 144 | + * Upgrade to TensorFlow 1.13.1 |
| 145 | + * Add mpi4py to pip installs |
| 146 | + * Add SageMaker integ test for hyperparameter tuning model_dir logic |
| 147 | + * Add Horovod benchmark |
| 148 | + * Fix model_dir adjustment for hyperparameter tuning jobs |
| 149 | + * change model_dir to training job name if it is for tuning. |
| 150 | + * Tune test_s3_plugin test |
| 151 | + * Skip the s3_plugin test before new binary released |
| 152 | + * Add model saving warning at end of training |
| 153 | + * Specify region when creating S3 resource in integ tests |
| 154 | + * Fix instance_type fixture setup for tests |
| 155 | + * Read framework version from Python SDK for integ test default |
| 156 | + * Fix SageMaker Session handling in Horovod test |
| 157 | + * Configure encoding to be utf-8 |
| 158 | + * Use the test argement framework_version in all tests |
| 159 | + * Fix broken test test_distributed_mnist_no_ps |
| 160 | + * Add S3 plugin tests |
| 161 | + * Skip horovod local CPU test in GPU instances |
| 162 | + * Add Horovod tests |
| 163 | + * Skip horovod integration tests |
| 164 | + * TensorFlow 1.12 and Horovod support |
| 165 | + * Deprecate get_marker. Use get_closest_marker instead |
| 166 | + * Force parameter server to run on CPU |
| 167 | + * Add python-dev and build-essential to Dockerfiles |
| 168 | + * Update script_mode_train_any_tf_script_in_sage_maker.ipynb |
| 169 | + * Skip keras local mode test on gpu and use random port for serving in the test |
| 170 | + * Fix Keras test |
| 171 | + * Create parameter server in different thread |
| 172 | + * Add Keras support |
| 173 | + * Fix broken unit tests |
| 174 | + * Unset CUDA_VISIBLE_DEVICES for worker processes |
| 175 | + * Disable GPU for parameter process |
| 176 | + * Set parameter process waiting to False |
| 177 | + * Update sagemaker containers |
| 178 | + * GPU fix |
| 179 | + * Set S3 environment variables |
| 180 | + * Add CI configuration files |
| 181 | + * Add distributed training support |
| 182 | + * Edited the tf script mode notebook |
| 183 | + * Add benchmarking script |
| 184 | + * Add Script Mode example |
| 185 | + * Add integration tests to run training jobs with sagemaker |
| 186 | + * Add tox.ini and configure coverage and flake runs |
| 187 | + * Scriptmode single machine training implementation |
| 188 | + * Update region in s3 boto client in serve |
| 189 | + * Update readme with instructions for 1.9.0 and above |
| 190 | + * Fix deserialization of dicts for json predict requests |
| 191 | + * Add dockerfile and update test for tensorflow 1.10.0 |
| 192 | + * Support tensorflow 1.9.0 |
| 193 | + * Add integ tests to verify that tensorflow in gpu-image can access gpu-devices. |
| 194 | + * train on 3 epochs for pipe mode test |
| 195 | + * Change error classes used by _default_input_fn() and _default_output_fn() |
| 196 | + * Changing assertion to check only existence |
| 197 | + * Install sagemaker-tensorflow from pypi. Add MKL environment variables for TF 1.8 |
| 198 | + * get most recent saved model to export |
| 199 | + * pip install tensorflow 1.8 in 1.8 cpu image |
| 200 | + * install tensorflow extensions |
| 201 | + * upgrade cpu binaries in docker build |
| 202 | + * Force upgrade of the framework binaries to make sure the right binaries are installed. |
| 203 | + * Add Pillow to pip install list |
| 204 | + * Increase train steps for cifar distributed test to mitigate race condition |
| 205 | + * Add TensorFlow 1.8 dockerfiles |
| 206 | + * Add TensorFlow 1.7 dockerfiles |
| 207 | + * Explain how to download tf binaries from PyPI |
| 208 | + * Allow training without S3 |
| 209 | + * Fix hyperparameter name for detecting a tuning job |
| 210 | + * Checkout v1.4.1 tag instead of r1.4 branch |
| 211 | + * Move processing of requirements file in. |
| 212 | + * Generate checkpoint path using TRAINING_JOB_NAME environment variable if needed |
| 213 | + * Wrap user-provided model_fn to pass arguments positionally (maintains compatibility with existing behavior) |
| 214 | + * Add more unit tests for trainer, fix __all__ and rename train.py to avoid import conflict |
| 215 | + * Use regional endpoint for S3 client |
| 216 | + * Update README.rst |
| 217 | + * Pass input_channels to eval_input_fn if defined |
| 218 | + * Fix setup.py to refer to renamed README |
| 219 | + * Add test and build instructions |
| 220 | + * Fix year in license headers |
| 221 | + * Add TensorFlow 1.6 |
| 222 | + * Add test instructions in README |
| 223 | + * Add container support to install_requires |
| 224 | + * Add Apache license headers |
| 225 | + * Use wget to install tensorflow-model-server |
| 226 | + * Fix file path for integ test |
| 227 | + * Fix s3_prefix path in integ test |
| 228 | + * Fix typo in path for integ test |
| 229 | + * Add input_channels to train_input_fn interface. |
| 230 | + * Update logging and make serving_input_fn optional. |
| 231 | + * remove pip install in tensorflow training |
| 232 | + * Modify integration tests to run nvidia-docker for gpu |
| 233 | + * add h5py for keras models |
| 234 | + * Add local integ tests & resources |
| 235 | + * Restructure repo to use a directory per TF version for dockerfiles |
| 236 | + * Rename "feature_map" variables to "feature_dict" to avoid overloading it with the ML term "feature map" |
| 237 | + * Copying in changes from internal repo: |
| 238 | + * Add functional test |
| 239 | + * Fix FROM image names for final build dockerfiles |
| 240 | + * Add dockerfiles for building our production images (TF 1.4) |
| 241 | + * GPU Dockerfile and setup.py fixes |
| 242 | + * Add base image Dockerfiles for 1.4 |
| 243 | + * Merge pull request #1 from aws/mvs-first-commit |
| 244 | + * first commit |
| 245 | + * Updating initial README.md from template |
| 246 | + * Creating initial file from template |
| 247 | + * Creating initial file from template |
| 248 | + * Creating initial file from template |
| 249 | + * Creating initial file from template |
| 250 | + * Creating initial file from template |
| 251 | + * Initial commit |
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