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