55 lines
3.0 KiB
YAML
55 lines
3.0 KiB
YAML
# 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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name: 'Train Model - Watson Machine Learning'
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description: |
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Train Machine Learning and Deep Learning Models in the Cloud using Watson Machine Learning
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metadata:
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annotations: {platform: 'IBM Watson Machine Learning'}
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inputs:
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- {name: train_code, description: 'Required. Code for training ML/DL models'}
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- {name: execution_command, description: 'Required. Execution command to start the model training.'}
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- {name: config, description: 'Credential configfile is properly created.', default: 'secret_name'}
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- {name: framework, description: 'ML/DL Model Framework', default: 'tensorflow'}
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- {name: framework_version, description: 'Model Framework version', default: '1.15'}
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- {name: runtime, description: 'Model Code runtime language', default: 'python'}
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- {name: runtime_version, description: 'Model Code runtime version', default: '3.6'}
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- {name: run_definition, description: 'Name for the Watson Machine Learning training definition', default: 'python-tensorflow-definition'}
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- {name: run_name, description: 'Name for the Watson Machine Learning training-runs', default: 'python-tensorflow-run'}
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- {name: author_name, description: 'Name of this training job author', default: 'default-author'}
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- {name: compute_name, description: 'Name of the compute tiers, in WML is the gpu count', default: 'k80'}
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- {name: compute_nodes, description: 'Number of compute machine', default: '1'}
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outputs:
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- {name: run_uid, description: 'UID for the Watson Machine Learning training-runs'}
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- {name: training_uid, description: 'Training Location UID for the Watson Machine Learning training-runs'}
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implementation:
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container:
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image: docker.io/aipipeline/wml-train:latest
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command: ['python3']
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args: [
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-u, /app/wml-train.py,
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--config, {inputValue: config},
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--train-code, {inputValue: train_code},
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--execution-command, {inputValue: execution_command},
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--framework, {inputValue: framework},
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--framework-version, {inputValue: framework_version},
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--runtime, {inputValue: runtime},
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--runtime-version, {inputValue: runtime_version},
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--run-definition, {inputValue: run_definition},
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--run-name, {inputValue: run_name},
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--author-name, {inputValue: author_name},
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--compute-name, {inputValue: compute_name},
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--compute-nodes,{inputValue: compute_nodes},
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--output-run-uid-path, {outputPath: run_uid},
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--output-training-uid-path, {outputPath: training_uid}
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]
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