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Clean up top level Ray dir (#5404)
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@@ -24,7 +24,7 @@ Then run the training script that matches the dataset you downloaded.
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.. code-block:: bash
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# Train Resnet on CIFAR-10.
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python ray/examples/resnet/resnet_main.py \
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python ray/doc/examples/resnet/resnet_main.py \
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--eval_dir=/tmp/resnet-model/eval \
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--train_data_path=cifar-10-batches-bin/data_batch* \
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--eval_data_path=cifar-10-batches-bin/test_batch.bin \
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@@ -32,7 +32,7 @@ Then run the training script that matches the dataset you downloaded.
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--num_gpus=1
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# Train Resnet on CIFAR-100.
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python ray/examples/resnet/resnet_main.py \
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python ray/doc/examples/resnet/resnet_main.py \
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--eval_dir=/tmp/resnet-model/eval \
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--train_data_path=cifar-100-binary/train.bin \
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--eval_data_path=cifar-100-binary/test.bin \
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@@ -101,4 +101,4 @@ object store.
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.. _`TensorFlow ResNet example`: https://github.com/tensorflow/models/tree/master/resnet
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.. _`TensorFlow`: https://www.tensorflow.org/install/
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.. _`code for this example`: https://github.com/ray-project/ray/tree/master/examples/resnet
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.. _`code for this example`: https://github.com/ray-project/ray/tree/master/doc/examples/resnet
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