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* Added parallism at sub-dag level * updated the parallism * remove yaml file * reformatting * Update sdk/python/kfp/compiler/compiler.py * Update sdk/python/kfp/compiler/compiler.py * Update samples/core/loop_parallelism/loop_parallelism.py Co-authored-by: Alexey Volkov <alexey.volkov@ark-kun.com> Co-authored-by: Alexey Volkov <alexey.volkov@ark-kun.com>
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# Copyright 2020 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. | ||
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import kfp.dsl as dsl | ||
import kfp | ||
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@kfp.components.create_component_from_func | ||
def print_op(s: str): | ||
print(s) | ||
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@dsl.pipeline(name='my-pipeline') | ||
def pipeline2(my_pipe_param=10): | ||
loop_args = [{'A_a': 1, 'B_b': 2}, {'A_a': 10, 'B_b': 20}] | ||
with dsl.ParallelFor(loop_args, parallelism=1) as item: | ||
print_op(item) | ||
print_op(item.A_a) | ||
print_op(item.B_b) | ||
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if __name__ == '__main__': | ||
kfp.compiler.Compiler().compile(pipeline, __file__ + '.yaml') |
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