56 lines
1.8 KiB
Bash
Executable File
56 lines
1.8 KiB
Bash
Executable File
#!/bin/bash
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# Copyright 2016 Google Inc. All Rights Reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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# Usage:
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# ./run_basic_rnn_train.sh experiment_dir hyperparameter_string num_steps training_tfrecord [eval_tfrecord]
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#
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# Example:
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# ./run_basic_rnn_train.sh /tmp/melody_lstm_2500_250 '{"rnn_layer_sizes":[50,20],"batch_size":100}' 20000 /tmp/train_melodies.tfrecord /tmp/eval_melodies.tfrecord
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EXPERIMENT_DIR=$1
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HPARAMS=$2
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NUM_TRAINING_STEPS=$3
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TRAIN_SET=$4
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EVAL_SET=$5
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# Get next run directory.
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# http://stackoverflow.com/a/23961677
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DATE=$(date +"%d%m%Y")
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N=1
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# Increment $N as long as a directory with that name exists
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while [[ -d "$EXPERIMENT_DIR/$DATE-$N" ]] ; do
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N=$(($N+1))
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done
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RUN_DIR="$EXPERIMENT_DIR/$DATE-$N"
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# Build train job.
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bazel build //magenta/models/basic_rnn:basic_rnn_train
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BINARY=../../../bazel-bin/magenta/models/basic_rnn/basic_rnn_train
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# Run training job.
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$BINARY --experiment_run_dir=$RUN_DIR --eval=false --sequence_example_file=$TRAIN_SET --hparams=$HPARAMS --num_training_steps=$NUM_TRAINING_STEPS &
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# Run eval job if eval dataset is given.
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if [ ! -z "$EVAL_SET" ]; then
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$BINARY --experiment_run_dir=$RUN_DIR --eval=true --sequence_example_file=$EVAL_SET --hparams=$HPARAMS --num_training_steps=$NUM_TRAINING_STEPS &
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fi
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# Run TensorBoard to see training and eval progress.
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tensorboard --logdir=$EXPERIMENT_DIR
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