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call_run_on_script_with_keras_fit_test.py
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call_run_on_script_with_keras_fit_test.py
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# Copyright 2020 Google LLC. 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.
from __future__ import absolute_import
from __future__ import division
from __future__ import print_function
import tensorflow_cloud as tfc
# # Automated CPU strategy: CPU chief config and no workers
# tfc.run(
# entry_point='tests/testdata/mnist_example_using_fit.py',
# distribution_strategy='auto',
# requirements_txt='tests/testdata/requirements.txt',
# chief_config=tfc.COMMON_MACHINE_CONFIGS['CPU'],
# stream_logs=True)
# # Automated OneDeviceStrategy: default 1 GPU chief config and no workers
# tfc.run(
# entry_point='tests/testdata/mnist_example_using_fit.py',
# distribution_strategy='auto',
# requirements_txt='tests/testdata/requirements.txt',
# stream_logs=True)
# Automated MirroredStrategy: chief config with multiple GPUs
# tfc.run(
# entry_point='tests/testdata/mnist_example_using_fit.py',
# distribution_strategy='auto',
# requirements_txt='tests/testdata/requirements.txt',
# chief_config=tfc.MachineConfig(
# cpu_cores=8,
# memory=30,
# accelerator_type=tfc.AcceleratorType.NVIDIA_TESLA_P100,
# accelerator_count=2),
# worker_count=0,
# stream_logs=True)
# Automated TPUStrategy
tfc.run(
entry_point="tests/testdata/mnist_example_using_fit_no_reqs.py",
distribution_strategy="auto",
chief_config=tfc.COMMON_MACHINE_CONFIGS["CPU"],
worker_count=1,
worker_config=tfc.COMMON_MACHINE_CONFIGS["TPU"],
stream_logs=True,
)