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train-cloud.sh
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train-cloud.sh
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#!/bin/bash
#
# Copyright 2019 Google LLC
#
# 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.
# ==============================================================================
# Runs a training job in AI platform.
set -euxo pipefail
echo "Submitting an AI Platform job..."
MODEL_NAME="tensorflow_taxi" # change to your model name
PACKAGE_PATH=./trainer # This can be a GCS location to a zipped and uploaded package
MODEL_DIR=gs://${BUCKET_NAME}/taxi/model/${MODEL_NAME}
CURRENT_DATE=$(date +%Y%m%d_%H%M%S)
JOB_NAME=train_${MODEL_NAME}_${CURRENT_DATE}
gcloud ai-platform jobs submit training "${JOB_NAME}" \
--stream-logs \
--job-dir="${MODEL_DIR}" \
--runtime-version="${RUNTIME_VERSION}" \
--python-version="${PYTHON_VERSION}" \
--region="${REGION}" \
--module-name=trainer.task \
--package-path="${PACKAGE_PATH}" \
--config=./config.yaml \
-- \
--train-files="${GCS_TAXI_TRAIN_SMALL}" \
--eval-files="${GCS_TAXI_EVAL_SMALL}" \
--train-size=80000 \
--num-epochs=10 \
--batch-size=128 \
--learning-rate=0.001 \
--hidden-units="128,0,0" \
--layer-sizes-scale-factor=0.5 \
--num-layers=3
# Notes:
# use --packages instead of --package-path if gcs location
# add --reuse-job-dir to resume training